CN108510566B - Generation method and system of emergency thematic map - Google Patents
Generation method and system of emergency thematic map Download PDFInfo
- Publication number
- CN108510566B CN108510566B CN201810273889.9A CN201810273889A CN108510566B CN 108510566 B CN108510566 B CN 108510566B CN 201810273889 A CN201810273889 A CN 201810273889A CN 108510566 B CN108510566 B CN 108510566B
- Authority
- CN
- China
- Prior art keywords
- disaster
- disaster emergency
- information
- emergency
- type
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Processing Or Creating Images (AREA)
- Alarm Systems (AREA)
- Instructional Devices (AREA)
Abstract
The embodiment of the invention provides a method and a system for generating an emergency thematic map. The method comprises the following steps: extracting the ground object in the disaster emergency information, and acquiring disaster emergency demand data corresponding to the ground object by combining a pre-established geographical name lookup table; according to each type of disaster emergency demands, obtaining a base map of a thematic map of the disaster emergency demands; and for each type of disaster emergency demand, according to all types of disaster emergency information reflecting the type of disaster emergency demand, superposing disaster emergency demand data corresponding to all ground objects in the disaster emergency information of each type reflecting the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand according to the geographic coordinate information of the ground objects, and generating the special map of the type of disaster emergency demand. The method and the system for generating the emergency thematic map provided by the embodiment of the invention can quickly generate the thematic map of emergency requirements and effectively shorten the emergency rescue time.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method and a system for generating an emergency thematic map.
Background
The thematic map is an important information expression and transmission means. A thematic map (also called special map) is a map which highlights and perfectly represents one or more elements related to a theme on a geographic base map according to the requirements of the map theme, makes the map content thematic, has different expression forms and specialized application.
The content of the thematic map consists of two parts: the method comprises the following steps of firstly, thematic content, namely, natural or socioeconomic phenomena highlighted on a map and relevant characteristics of the phenomena; the second is geographical foundation, which is used to mark general map contents of special subject element space position and geographical background, mainly including graticule, water system, country, residential area, etc.
With the acceleration of urban construction pace and the continuous increase of urban scale and quantity in China, the disaster risks faced by cities are serious day by day, and especially various natural disaster risks such as floods, earthquakes, marine disasters and the like and various human and technical risks such as fire disasters, explosions, toxic leakage, building collapse and the like are continuously generated, so that a great amount of casualties, property loss and environmental pollution are caused. The disaster thematic map belongs to one of thematic maps and plays an important role in each disaster emergency time interval. The various disaster emergency thematic maps can visually reflect the disaster position, the influence range, the population and economic distribution, the key target and hazard source distribution, the school and hospital distribution, the traffic road, the administrative region, the disaster area terrain and other related information, and provide important information support for the command decision and the emergency rescue action of disaster relief.
The thematic map generated in the prior art for disaster emergency and rescue is mainly a disaster thematic map. The disaster thematic map mainly reflects the characteristics of the disaster, such as the position, the range, the terrain, the distribution of surrounding buildings and the like. At present, aiming at emergency and rescue of disasters, generating special maps with various important emergency requirements is an important subject to be urgently solved in the industry at present.
Disclosure of Invention
Aiming at the defect that a thematic map with important emergency requirements cannot be generated in the prior art, the embodiment of the invention provides a method and a system for generating an emergency thematic map.
The embodiment of the invention provides a method for generating an emergency thematic map, which comprises the following steps:
s1, extracting land features in the disaster emergency information for each disaster emergency information acquired from the social media data, and acquiring disaster emergency demand data corresponding to the land features by combining a pre-established geographical name lookup table; the disaster emergency demand data comprises names, shape categories, geographical coordinate information, each administrative region, disaster emergency information and types of the disaster emergency information;
s2, interpreting the remote sensing image of the disaster area according to each type of disaster emergency requirements to obtain a base map of the thematic map of the disaster emergency requirements; the geodetic coordinate system used by the remote sensing image is the same as the geodetic coordinate system used by the place name lookup table established in advance;
and S3, for each type of disaster emergency demand, according to all types of disaster emergency information reflecting the type of disaster emergency demand, superposing disaster emergency demand data corresponding to all ground objects in each type of disaster emergency information reflecting the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand according to geographic coordinate information of the ground objects, and generating the special map of the type of disaster emergency demand.
The embodiment of the invention provides a system for generating an emergency thematic map, which comprises:
the data extraction module is used for extracting the ground objects in the disaster emergency information for each disaster emergency information acquired from the social media data, and acquiring disaster emergency demand data corresponding to the ground objects by combining a pre-established geographical name lookup table; the disaster emergency demand data comprises names, shape categories, geographical coordinate information, each administrative region, disaster emergency information and types of the disaster emergency information;
the base map generation module is used for interpreting the remote sensing image of the disaster area according to each type of disaster emergency requirements to obtain a base map of a thematic map of the disaster emergency requirements; the geodetic coordinate system used by the remote sensing image is the same as the geodetic coordinate system used by the place name lookup table established in advance;
and the aggregation module is used for superposing disaster emergency demand data corresponding to all ground objects in each type of disaster emergency information reflecting the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand according to the geographic coordinate information of the ground objects for each type of disaster emergency demand according to all types of disaster emergency information reflecting the type of disaster emergency demand, and generating the special map of the type of disaster emergency demand.
According to the method and the system for generating the emergency thematic map, provided by the embodiment of the invention, the VGI data and the remote sensing image data of the disaster area are aggregated under the same geodetic coordinate system, so that the thematic map of various disaster emergency requirements can be rapidly generated, the emergency rescue requirements of the disaster area can be visually reflected, expert scholars can judge and read the emergency rescue requirements and provide an effective rescue scheme, the emergency rescue force is reasonably distributed, the emergency rescue time is effectively shortened, and more lives are saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method for generating an emergency thematic map according to the present invention;
FIG. 2 is a schematic diagram of an embodiment of a method for generating a thematic map of rescue needs of major casualties according to the present invention;
FIG. 3 is a schematic diagram of an embodiment of a method for generating a thematic map of emergency evacuation and seating needs of people according to the present invention;
FIG. 4 is a schematic diagram of an embodiment of a method for generating a thematic map of major medical rescue needs according to the present invention;
FIG. 5 is a schematic diagram of a rescue plan model in an embodiment of a method for generating a thematic map of major medical rescue needs according to the present invention;
fig. 6 is a functional block diagram of an embodiment of a system for generating an emergency thematic map according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the method and System for generating the thematic map provided by the present invention can be implemented based on various GIS (Geographic Information System) platforms, such as ArcGIS, GeoStar, ArcMap, and the like.
It can be understood that the method for generating the thematic map provided by the invention is suitable for generating the thematic maps of various emergency requirements when disasters occur. The emergency system can be suitable for the emergency of various natural disasters such as earthquake, debris flow, landslide, mountain fire, typhoon, tsunami, flood and the like, and can also be suitable for the emergency of various artificial and technical disasters such as fire, explosion, poison leakage, building collapse and the like.
In the following embodiments, the method and system for generating the thematic map provided by the present invention are described by taking the earthquake emergency as an example. The generation of the thematic map of emergency needs of other disasters is similar to the generation of the thematic map of emergency needs of earthquake.
Fig. 1 is a flowchart of an embodiment of a method for generating an emergency thematic map according to the present invention. As shown in fig. 1, a method for generating a thematic map includes: step S1, extracting land features in the disaster emergency information for each disaster emergency information acquired from the social media data, and acquiring disaster emergency demand data corresponding to the land features by combining a pre-established geographical name lookup table; the disaster emergency demand data comprises names, shape categories, geographical coordinate information, each administrative region, disaster emergency information and types of the disaster emergency information; step S2, according to each type of disaster emergency requirements, interpreting the remote sensing image of the disaster area to obtain a base map of a thematic map of the disaster emergency requirements; the geodetic coordinate system used by the remote sensing image is the same as the geodetic coordinate system used by a pre-established geographical name lookup table; and S3, for each type of disaster emergency demand, according to all types of disaster emergency information reflecting the type of disaster emergency demand, superposing disaster emergency demand data corresponding to all ground objects in each type of disaster emergency information reflecting the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand according to geographic coordinate information of the ground objects, and generating the special map of the type of disaster emergency demand.
Specifically, step S1 is to obtain social media data from the computer network, and obtain disaster emergency information in the social media data.
When disasters such as earthquake occur, network users can issue information of natural disasters such as earthquake based on location services through social media such as microblogs, posts, WeChats and the like. A large amount of information about disasters is spread over network media. The information has the characteristics of rich details, low acquisition cost, high updating speed and the like. The information contains a large amount of disaster information, can provide additional effective information for emergency of disasters such as earthquake and the like, is aggregated with the remote sensing image, is favorable for auxiliary discrimination of the image, and can effectively shorten the rescue time if being well utilized.
After the earthquake disaster occurs, information about the earthquake disaster in a certain period of time can be crawled from the Internet through a crawler program, and the earthquake disaster emergency information is acquired from all the information about the earthquake disaster.
The disaster emergency information is information related to emergency of a disaster.
For example, information on casualties of people, information on trapped people, information on damaged houses, information on medical supplies, information on rescue efforts, and the like belong to disaster emergency information.
The disaster emergency information may be classified into different types according to the content of the disaster emergency information. The types of disaster emergency information may include: the method includes but is not limited to lifeline engineering, secondary disaster, earthquake situation, medical epidemic prevention, emergency rescue, rescue seeking and the like.
For example: "5 people in D village of C county, B city, A have serious injury potential and need to be rescued in time" belongs to seeking rescue disaster emergency information; the 'collapsed houses 10 in the D streets of the district B and the city C of the province A, the' collapsed houses 10 in the '40 homeless return' belong to earthquake disaster emergency information, and the '40 homeless return' belongs to seeking rescue disaster emergency information.
Each type of disaster emergency information can be subdivided into several sub-types.
For example, the search for rescue can be classified into the subclasses of casualty help seeking, disaster victims getting trapped, arrangement seeking, epidemic prevention requirement, and the like.
Therefore, after the disaster emergency information is acquired, the type of the disaster emergency information can be determined according to the content of the disaster emergency information.
When a user publishes information through social media on terminals such as mobile phones, the social media have a geographic position service function because the terminals such as the mobile phones are provided with positioning modules such as GPS and the like, and the information published by the social media can carry geographic information. Such information pertains to spontaneous geographic information.
Spontaneous Geographic Information (abbreviated VGI, also called volunteer Geographic Information) refers to Geographic Information created, edited, managed, and maintained by a user in an online collaboration manner with reference to a common handheld GPS terminal, an openly acquired high-resolution remote sensing image, and a personal spatial cognitive Geographic knowledge. The concept of spontaneous geographic information was proposed by m.f. goodchild in 2007. Goodchild indicates that the conventional one-way geographic information service mode will gradually shift to an interactive collaborative mode, where the user is both the user and the provider of geographic information.
And after acquiring the earthquake disaster emergency information, extracting the ground objects in each earthquake disaster emergency information.
The feature (cultivation) is a general term referring to various objects (such as mountains, forests, buildings, etc.) and non-objects (such as provinces, counties, etc.) on the ground. Generally refers to a relatively stationary object on the surface of the earth.
For example, the information distributed by the user is "36 persons are trapped in factory 36H prefecture G, F city, e.g.," plant H "among the land features.
Since the surface features are relatively fixed on the earth's surface, their geographic locations are determined, as are their administrative areas. Therefore, the names of the features, the shape categories, the geographical coordinate information, and the administrative regions of each level to which the features belong can be stored in a pre-established geographical name look-up table.
After the surface feature is extracted from the earthquake disaster emergency information, the surface name lookup table is inquired according to the name of the surface feature, and the shape category, the geographic coordinate information and each level of administrative region to which the surface feature belongs are obtained.
According to the remote sensing mechanism model, all parameter combinations need to be traversed to obtain a result under each parameter combination through the range of input parameters through calculation of the model, and the result is expressed in a form. The process of finding suitable parameters based on the cost function is an inversion process of the remote sensing model.
The built place name lookup table contains the longitude and latitude information of different regions step by step, limited retrieval is carried out through the names of the place objects, and a piece of data which is consistent with the retrieved place name and contains the longitude and latitude coordinates is returned.
The place name lookup table may be established in advance by a tool in the GIS platform. For example, a place name look-up table is built by ArcCatalog in ArcGIS.
The geographical coordinate information is contained in the geographical name lookup table. Because the geographic coordinates of the same ground object are different in different geodetic coordinate systems, an existing geodetic coordinate system is required to be used for establishing the place name lookup table.
The geodetic coordinate system is a coordinate system established by taking the reference ellipsoid as a datum plane in geodetic surveying. The location of the ground point is represented by the geodetic longitude, the geodetic latitude, and the geodetic altitude. The determination of the geodetic coordinate system comprises selecting an ellipsoid, locating the ellipsoid and determining geodetic data.
An earth ellipsoid whose shape, size, location and orientation are determined is called a reference ellipsoid. Once the reference ellipsoid is determined, it marks that the geodetic coordinate system has been established.
The geodetic coordinate system commonly used includes three types: a reference center coordinate system, a geocentric coordinate system and a local independent coordinate system. The geodetic coordinate system commonly used in China comprises: WGS-84 coordinate system, 1954 beijing coordinate system, 1980 sienna coordinate system and new 1954 beijing coordinate system.
Preferably, the place name lookup table in the embodiment of the present invention is established under the WGS-84 coordinate system.
The WGS-84 coordinate system, called the world geodetic coordinate system in 1984, is a globally uniform geocentric coordinate system.
The place name lookup table is a multi-level place name lookup table.
For example, the provincial administrative district is the first level, the local administrative district is the second level, and the county administrative district is the third level, up to the smallest administrative district. Generally, the smallest administrative district in a city is a street, and the smallest administrative district in a rural area is a village.
In the geographical name look-up table, information on all geographical features in the minimum administrative district can be stored.
Since the ground object in the planar map has a certain planar shape, the shape of the ground object is generally abstracted into three shape categories: point-like ground object, linear ground object and planar ground object.
The planar shape of the same ground object can be changed along with the change of the spatial resolution of the remote sensing image. When the location name lookup table is created, the shape type of the feature at a specific spatial resolution may be set as the shape type of the feature, or the shape type of the feature may be defined in advance, but the invention is not limited thereto.
The geographic coordinate information of the surface feature stored in the place name lookup table is different for different shape categories.
When the shape type of the ground object is a point ground object, the geographic coordinate information of the ground object is the longitude and latitude of the point where the ground object is located;
when the shape category of the ground object is a linear ground object, the geographic coordinate information of the ground object comprises the longitude and latitude of a plurality of points on a line segment where the ground object is located; the points comprise two end points of the line segment and points selected on the line segment at preset longitude and latitude intervals;
and when the shape type of the ground object is a planar ground object, the geographic coordinate information of the ground object is the longitude and latitude of the center and four vertexes of the minimum circumscribed rectangle of the ground object.
For example, the province road is a linear ground object, the road extends long and passes through a plurality of regions, an effective road section in the province road can be identified by combining the disaster occurrence region, and the geographical coordinate information of the road section of the province road in the minimum administrative region of the disaster area is obtained by inquiring the geographical name lookup table.
Preferably, the preset longitude and latitude interval is 0.05 seconds for a linear feature.
Given the earth's equatorial radius of about 6378.2 km (origin: hundred degrees encyclopedia), the circumferential length is calculated as: s is 2 pi R, wherein S represents the circumference of the equator, R is the radius of the equator, and pi is the circumferential rate; let the circumferential ratio pi be equal to about 3.14, the equatorial circumference is calculated to be about 40055.096 km. Given that the circle is 360 degrees, 1 degree corresponds to 60 minutes, and 1 minute corresponds to 60 meters, the spatial variation range corresponding to each minute is about 30.9 meters, which is about the spatial resolution of one pixel of the LandSat image; the range of 0.05 seconds of change in the equatorial longitude corresponds to about 1.5-2 meters, corresponding to the spatial resolution of one pixel of the high spatial resolution image. Therefore, the preset longitude and latitude interval can be adjusted correspondingly based on the spatial resolution of the corresponding used remote sensing image pixel.
For the planar ground object, the four vertexes of the minimum circumscribed rectangle of the ground object from north to south and from west to east in the counterclockwise direction and the longitude and latitude of the center can be sequentially stored.
Through the above process, for each feature in the disaster emergency information, the name, shape category, geographical coordinate information, each administrative district belonging thereto, the disaster emergency information in which the feature is located, and the type of the disaster emergency information in which the feature is located may be obtained as the corresponding disaster emergency demand data of the feature.
And step S2, establishing a base map of the thematic map of the disaster emergency requirement.
The thematic map of disaster emergency needs may include two pieces of information: one part is information of the ground object, and the other part is disaster emergency demand information corresponding to the ground object.
The information of the ground object can be acquired through remote sensing images. Preferably, the acquisition is by remote sensing images of high spatial resolution.
After a disaster such as an earthquake occurs, information of the ground object itself changes. For example: collapse of houses, landslide of roads, formation of barrage lakes, and the like. Therefore, it is necessary to acquire the latest information of the feature itself from the high spatial resolution remote sensing image after the occurrence of the disaster such as the earthquake.
Generally, remote sensing images of disaster areas are acquired in units of a certain administrative area. By interpreting the remote sensing image, thematic information acquired from the remote sensing image is superposed on a surface map layer of the disaster area, and a map of the thematic information related to emergency demands of various types of disasters is acquired and used as a base map.
Specifically, for interpretation of the remote sensing image, the topic information obtained from the remote sensing image can be identified by adopting an object-oriented classification technology.
In order to match the information of the ground object with the disaster emergency demand information corresponding to the ground object, a geodetic coordinate system used by the remote sensing image is the same as a geodetic coordinate system used by a pre-established place name lookup table.
For example, when the place name lookup table is established by using the WGS-84 coordinate system, the high-spatial-resolution remote sensing image of the disaster area is also acquired under the WGS-84 coordinate system.
The unit for obtaining the remote sensing image of the disaster area is usually determined according to the disaster area. The common upper administrative district of the minimum affected administrative district can be used as a unit for acquiring the remote sensing image of the disaster area, but the method is not limited to this. For example, when the disaster area is a plurality of counties in a single county, the county can be used as a unit for obtaining remote sensing images of the disaster area; when the disaster area is a county, the county or the county can be used as a unit for obtaining the remote sensing image of the disaster area.
And step S3, overlapping the information of the surface feature and the disaster emergency demand information corresponding to the surface feature, namely aggregating the VGI data and the remote sensing image data to generate the thematic map of each type of disaster emergency demand.
Disaster emergency needs can be divided into different types. For example: the emergency evacuation and arrangement system has the advantages of great casualty rescue requirements, personnel emergency evacuation and arrangement requirements, great medical rescue requirements and the like.
Each type of disaster emergency demand corresponds to a plurality of types of disaster emergency information. That is, several types of disaster emergency information reflect the same type of disaster emergency requirements.
For example, "5 people in K county, L village, J City, I province have serious injury potential and need to be rescued in time" belongs to the search for rescue disaster emergency information and reflects the rescue requirements of major casualties; "No family can be returned from street 40 in district C of district B of province A and City C" belongs to seeking rescue disaster emergency information, and reflects the emergency evacuation and arrangement requirements of people.
In step S1, the disaster emergency demand data of all the surface features in the same type of disaster emergency information may be summarized and collated to generate a point map layer corresponding to the type of disaster emergency information. The geographic coordinate information of each feature may be converted into point elements by a GIS platform, such as ArcMap, so as to add the feature to the point map layer. Each point element comprises an attribute table, and the attribute table comprises disaster emergency demand data corresponding to the ground objects.
Preferably, each point in the point map layer represents a piece of disaster emergency information; the legend of the points shows the categories of the points and represents the types of disaster emergency information; the size of the legend represents the severity of the demand; the colors of the legend are used to distinguish between sub-classes under the same class.
And superposing point map layers corresponding to all types of disaster emergency information reflecting each type of disaster emergency demand on a map of the special map of the type of disaster emergency demand through a GIS platform to generate the special map of the type of disaster emergency demand.
It can be understood that the step S1 and the step S2 are not dependent on a specific sequence, that is, the step S1 is executed after the step S2 is executed, the step S2 is executed after the step S1 is executed, or the step S1 and the step S2 are executed simultaneously, so that the method for generating the thematic map provided by the present invention can be implemented.
According to the embodiment of the invention, the VGI data and the remote sensing image data of the disaster area are aggregated under the same geodetic coordinate system, and the thematic map of various disaster emergency requirements can be rapidly generated, so that the emergency rescue requirements of the disaster area are visually reflected, expert scholars can interpret and provide an effective rescue scheme, the emergency rescue force is reasonably distributed, the emergency rescue time is effectively shortened, and more lives are saved.
Based on the above embodiment, step S1 further includes: step S11, performing word segmentation processing on each disaster emergency information acquired from the social media data, and extracting surface features in each disaster emergency information; step S12, for each feature, the shape category, the geographic coordinate information and each level administrative district to which the feature belongs are obtained by inquiring a pre-established geographical name lookup table; and classifying the disaster emergency information of the ground object through a classifier to acquire the type of the disaster emergency information of the ground object.
Specifically, in step S11, a chinese word segmentation system may be invoked through a related program to perform word segmentation processing on each disaster emergency information acquired from the social media data, segment a chinese text into words, and extract a landmark from each disaster emergency information by determining whether each word is a name of the landmark.
Preferably, the NLPIR Chinese word segmentation system is called through a program written by C # to perform word segmentation processing.
And step S12, after the surface feature is extracted from the earthquake disaster emergency information, inquiring a surface name lookup table according to the name of the surface feature, and acquiring the shape category, the geographic coordinate information and each level of administrative district to which the surface feature belongs.
When the feature in the disaster emergency information is extracted in step S11, the disaster emergency information where the feature is located can be determined. The method comprises the steps of classifying disaster emergency information of each ground feature through a pre-trained classifier, determining the type of the disaster emergency information, and accordingly obtaining the type of the disaster emergency information of the ground feature.
Based on the above embodiment, step S11 specifically includes: performing word segmentation on each disaster emergency information acquired from social media data; performing word segmentation matching according to a pre-obtained subject word bank, filtering disaster emergency information, and screening out disaster emergency information with high emergency degree; and extracting the ground objects in the disaster emergency information for each piece of screened disaster emergency information.
Specifically, the extraction of the surface features in the disaster emergency information can be divided into three steps of word segmentation processing, information filtering and surface feature extraction.
An NLPIR Chinese word segmentation system is called, after word segmentation processing is carried out on disaster emergency information, stop words in the disaster emergency information can be removed, and remaining word segmentation texts are structurally represented, namely a Vector Space Model (VSM) is constructed.
According to the vector space model, word segmentation text matching is carried out according to the regular expression and a pre-obtained subject word library, information with low emergency degree is subjected to screening filtering, noise and redundant information are filtered, the redundant information is reduced, the interference effect of false information on disaster emergency rescue is eliminated, and disaster emergency information with high emergency degree is screened out.
For each disaster emergency information with high emergency degree, acquiring administrative division boundaries and central positions of the disaster areas according to an authoritative center, dividing a possible disaster area into a plurality of buffer areas according to priori knowledge, and extracting ground objects in the disaster emergency information according to historical data.
Based on the above embodiment, step S3 further includes: obtaining a plurality of buffer areas by taking the central position of the disaster as the center of a circle and preset radius intervals; and analyzing the disaster emergency demand data corresponding to the ground objects in each buffer area, and displaying the analysis result on a thematic map of the disaster emergency demand.
As a preferred embodiment, in step S3, the disaster emergency demand data may be analyzed by a mathematical statistics method, a visual interpretation method, or the like, and the analysis result may be displayed on a map of the disaster emergency demand.
A plurality of buffer areas can be obtained by taking the central position of the disaster as the center of a circle and preset radius intervals.
The preset radius interval can be 0.5 kilometer, so that a plurality of concentric circles taking the disaster center position as the center of a circle and taking 0.5 kilometer, 1 kilometer, 1.5 kilometer, 2 kilometer and the like as the radius are obtained. Each concentric circle represents a buffer.
And judging the spatial distribution condition of the VGI data, the aggregation degree of various VGI data in different directions of the disaster-stricken center and the like by taking the buffer area as a unit, thereby reflecting the emergency demand and the total emergency demand of each area more conveniently and intuitively.
Based on the above embodiment, step S2 specifically includes: according to the rescue requirements of major casualties, the remote sensing image of the disaster area is interpreted to generate a building damage thematic map and/or a secondary disaster thematic map as a base map; accordingly, step S3 includes: for the major casualty rescue requirements, the earthquake disaster emergency information and disaster emergency requirement data corresponding to all ground objects in the search rescue disaster emergency information are superposed on the base map according to the geographic coordinate information of the ground objects, and a special map of the major casualty rescue requirements is generated.
Specifically, the thematic map of the major casualty rescue demand is directed to rescue workers in the rescue line for rescue and disaster relief, commanders for disaster research and judgment, command and dispatch, and the like.
In order to generate a thematic map of the major casualty rescue demand, in step S2, according to the major casualty rescue demand, the data of the building damage and/or the secondary disaster in the disaster area remote sensing image is obtained by interpretation, a building damage thematic map and/or a secondary disaster thematic map is generated, and the building damage thematic map and/or the secondary disaster thematic map are taken as a base map.
The project map of building damage is image data reflecting the damage status of houses in earthquake area.
The secondary disaster thematic map is image data reflecting the distribution of secondary disasters in earthquake areas.
Accordingly, in step S3, since the earthquake disaster emergency information and the search rescue disaster emergency information reflect the major casualty rescue needs, the dot map layer of the earthquake disaster emergency information and the dot map layer of the search rescue disaster emergency information are superimposed on the base map to generate the special map of the major casualty rescue needs.
The emergency index system constructed according to the earthquake disaster emergency information can be divided into earthquake disaster emergency information such as disaster situation status category, disaster statistics category, abnormal phenomenon category and the like.
The seeking for the rescue disaster emergency information can be subdivided into life help seeking information, disaster people trapped information, medical treatment and epidemic prevention help seeking information and other emergency help seeking information from earthquake areas.
Fig. 2 is a schematic diagram of an embodiment of a method for generating a thematic map of rescue requirements of major casualties according to the present invention. As shown in fig. 2, the two types of emergency information are fused and stacked according to requirements, and the earthquake situation can be preliminarily researched and judged (within 0-2 hours) according to the damage degree of the building and the distribution range, quantity and type of the self-media emergency information at the initial stage of earthquake occurrence; meanwhile, rescue actions of major casualties can be served through the crawled more detailed disaster data in the emergency rescue stage (2 hours), namely, the information from the most urgent needs of the general public is further provided for emergency rescue and command and dispatch through the multi-type and most amount of emergency information fused on the image data.
Based on the above embodiment, step S2 specifically includes: according to the emergency evacuation and arrangement requirements of personnel, interpreting the remote sensing image of the disaster area to generate a thematic map of the safety area and a thematic map of the road condition as base maps; accordingly, step S3 includes: and for the emergency evacuation and arrangement requirements of the personnel, disaster emergency requirement data corresponding to all the ground objects in the rescue type disaster emergency information are superposed on the base map according to the geographic coordinate information of the ground objects, so that a thematic map of the emergency evacuation and arrangement requirements of the personnel is generated.
Specifically, the thematic map of the emergency evacuation and placement needs of people is oriented to rescue personnel, emergency commanders, disaster victims in disaster areas and the like in the first line of rescue.
In order to generate a thematic map of the emergency evacuation and placement requirements of people, in step S2, according to the casualty rescue requirements of major people, thematic information of a safety area and road conditions where the situation around the disaster area is open in the disaster area remote sensing image is obtained through interpretation, a safety area thematic map and a road condition thematic map are generated, and the safety area thematic map and the road condition thematic map are used as base maps.
The safety area thematic map reflects the open area around the disaster area. The areas with open terrain around the disaster area can be used as safety areas for emergency evacuation and arrangement of personnel.
The road condition thematic map reflects the safe roads and damaged roads in the disaster area.
Accordingly, in step S3, since the request for emergency information of rescue-type disaster reflects the requirement for emergency evacuation and placement of people, the dot map layer of the request for emergency information of rescue-type disaster is superimposed on the base map to generate a specialized map of the requirement for emergency evacuation and placement of people.
Fig. 3 is a schematic diagram of an embodiment of a method for generating a thematic map of emergency evacuation and seating needs of people according to the present invention. As shown in fig. 3, the distribution diagram of emergency evacuation and seating requirements includes two parts, namely, thematic map information such as a nearby safety area and a safety road required for seating and evacuating people; and second, disaster victims or related organizations centrally release rescue disaster emergency information such as lodging seeking, emergency places, disaster victims placement points, road and bridge damage seeking and the like. The distribution map generated by the fusion of the two types of information can be used for carrying out efficient and rapid personnel evacuation and arrangement according to the specific demand information embodied in the social media and by combining the safe road and the nearest safe area in the thematic map.
Based on the above embodiment, step S2 specifically includes: according to major medical rescue requirements, the remote sensing image of the disaster area is interpreted to generate a building damage thematic map and a medical facility thematic map as base maps; accordingly, step S3 includes: for major medical needs, disaster emergency demand data corresponding to all ground objects in the rescue type disaster emergency information are found and are superposed on the base map according to the geographic coordinate information of the ground objects to generate a major medical rescue problem map.
Specifically, the map is directed to rescue personnel, emergency commanders, medical institutions and the like in the first line of rescue.
In order to generate the map of the major medical rescue topic, in step S2, the information of the topic of the buildings and medical facilities in the disaster area in the remote sensing image of the disaster area is obtained by interpretation according to the requirement of the major medical rescue, so as to generate the map of the topic of the buildings and the map of the topic of the medical facilities, and the map of the topic of the buildings and the medical facilities are used as base maps.
The medical facility thematic map reflects the distribution of medical institutions such as hospitals and nursing homes around disaster areas.
Accordingly, in step S3, since the earthquake disaster emergency information and the search rescue disaster emergency information reflect the major medical rescue needs, the map layer of the earthquake disaster emergency information and the map layer of the search rescue disaster emergency information are superimposed on the base map to generate the thematic map of the major medical rescue needs.
Fig. 4 is a schematic diagram of an embodiment of a method for generating a thematic map of major medical rescue needs according to the present invention. As shown in fig. 4, the distribution diagram of the major medical rescue demand includes two parts, namely, a thematic diagram for checking the service capability and the distribution status of the medical facilities in the disaster area, and information such as the damage degree of buildings in the disaster area; and secondly, disaster people seeking help, epidemic prevention requirements and the like from a social media platform seek rescue disaster emergency information, and medical treatment information which is provided by all parties and serves major medical treatment and rescue, such as medical teams, medical equipment, medicines, blood banks and the like. Through the existing thematic map information of medical facility distribution and building damage status, and the important medical rescue demand distribution map generated by superposing and fusing help-seeking information from the social public, the medical demand situation after the disaster occurs can be analyzed more visually and clearly, and the rescue force can be reasonably distributed to provide data support.
As an alternative example, when generating a thematic map of the major medical rescue demand, the major medical rescue plan needs to be calculated according to the emergency information of the sought rescue disaster from the social media based on a pre-established rescue plan model.
The process of step S3 is explained below by way of an example.
When the life help-seeking information, the disaster-victims trapped information and the medical help-seeking information exist in the building damage area, the life safety of local people is threatened, the superior is required to send out medical squadrons for search and rescue as soon as possible, and corresponding manpower and material resources are sent out for rescue according to the number N of people mentioned in the VGI data and the expert priori knowledge. Fig. 5 is a schematic diagram of a rescue scheme model in an embodiment of a method for generating a thematic map of major medical rescue needs according to the present invention. For example, if one wounded person needs to be dispatched to a three-person group, one rescue material is used for rescue, and a plurality of (n) wounded persons need to be dispatched to a 2+ n-person group, and n rescue materials are used for rescue, the rescue scheme is modeled as shown in fig. 5. The disaster earthquake situation is primarily researched and judged in a short time through the rescue demand distribution map of the major casualties so as to serve the rescue action of the major casualties.
When the remote sensing image is used for extracting a disaster area, a safety area with an open terrain is extracted, and disaster victims provide emergency placement places by building a tent. And simultaneously, drawing a disaster area safety channel by combining a local road vector diagram and the current disaster situation. Corresponding medical teams need to be dispatched, disaster victims transferred to the safety area are rescued, disaster relief materials are released, and life safety of the disaster victims is guaranteed. As shown in fig. 5, when there is information such as stranded people in the disaster-prone area, it indicates that there is a possibility that the life safety of local people may be threatened, and according to the rescue situation, according to the urgency of the incident, rescue workers should be dispatched to transfer to a safety area with an open terrain, and rescues should be sent to perform efficient and rapid evacuation, evacuation and placement work for people.
And carrying out layer overlay on the public medical facility distribution map of the disaster area and the high-spatial-resolution remote sensing image, carrying out shortest distance matching with the area where the medical category-seeking information is located, and automatically allocating optimal resources for disaster resident rescue, so that the disaster residents can be rescued in the shortest time. Through the thematic map, the medical distribution situation after the disaster occurs can be analyzed more visually and clearly, the disaster relief force can be distributed reasonably in time, and resource optimization is implemented.
Fig. 6 is a functional block diagram of an embodiment of a system for generating an emergency thematic map according to the present invention. Based on the above embodiment, a system for generating a thematic map includes: the data extraction module 601 is used for extracting the ground feature in each disaster emergency information acquired from the social media data, and acquiring disaster emergency demand data corresponding to the ground feature by combining a pre-established geographical name lookup table; the disaster emergency demand data comprises names, shape categories, geographical coordinate information, each administrative region, disaster emergency information and types of the disaster emergency information; the base map generation module 602 is used for interpreting the remote sensing image of the disaster area according to each type of disaster emergency requirements to obtain a base map of a thematic map of the disaster emergency requirements; the geodetic coordinate system used by the remote sensing image is the same as the geodetic coordinate system used by a pre-established geographical name lookup table; the aggregation module 603 is configured to, for each type of the disaster emergency demand, superimpose, according to the geographic coordinate information of the surface feature, disaster emergency demand data corresponding to all surface features in each type of disaster emergency information that reflects the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand, and generate the special map of the type of disaster emergency demand.
Specifically, the aggregation module 603 is electrically connected to the data extraction module 601 and the base map generation module 602, respectively, and transmits the electrical signals.
The specific method and process for realizing the corresponding functions of each module included in the system are detailed in the embodiment of the method for generating the special map, and the details are not repeated here.
In the embodiment of the present invention, the relevant functional module may be implemented by a hardware processor (hardware processor).
Another embodiment of the present invention discloses a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-mentioned method embodiments, for example, including: the method comprises a thematic map generation method, a disaster emergency information acquisition method, a land feature extraction method, a land name lookup table establishment method, a disaster emergency demand data acquisition method corresponding to the land feature and the like.
Another embodiment of the invention provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform a method provided by the above method embodiments, for example, comprising: the method comprises a thematic map generation method, a disaster emergency information acquisition method, a land feature extraction method, a land name lookup table establishment method, a disaster emergency demand data acquisition method corresponding to the land feature and the like.
The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for generating an emergency thematic map is characterized by comprising the following steps:
s1, extracting land features in the disaster emergency information for each disaster emergency information acquired from the social media data, and acquiring disaster emergency demand data corresponding to the land features by combining a pre-established geographical name lookup table; the disaster emergency demand data comprises names, shape categories, geographical coordinate information, each administrative region, disaster emergency information and types of the disaster emergency information;
s2, interpreting the remote sensing image of the disaster area according to each type of disaster emergency requirements to obtain a base map of the thematic map of the disaster emergency requirements; the geodetic coordinate system used by the remote sensing image is the same as the geodetic coordinate system used by the place name lookup table established in advance;
s3, for each type of disaster emergency demand, according to all types of disaster emergency information reflecting the type of disaster emergency demand, superposing disaster emergency demand data corresponding to all ground objects in each type of disaster emergency information reflecting the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand according to geographic coordinate information of the ground objects, and generating the special map of the type of disaster emergency demand;
the social media data are VGI data carrying geographic information; the types of the disaster emergency information comprise a lifeline engineering type, a secondary disaster type, an earthquake situation and disaster type, a medical epidemic prevention type, a rescue and relief type and a rescue seeking type; the types of the disaster emergency demands comprise important casualty rescue demands, personnel emergency evacuation and placement demands and important medical rescue demands;
the S1 further includes:
s11, performing word segmentation processing on each disaster emergency information acquired from the social media data, and extracting surface features in each disaster emergency information;
s12, for each feature, acquiring the shape category, the geographic coordinate information and each level of administrative districts to which the feature belongs by inquiring a pre-established geographical name lookup table; classifying the disaster emergency information of the surface feature through a classifier to obtain the type of the disaster emergency information of the surface feature;
the S11 specifically includes:
performing word segmentation on each disaster emergency information acquired from social media data, removing stop words, performing structural representation on the rest word segmentation texts, and constructing a vector space model;
performing word segmentation matching according to the vector space model, the regular expression and a pre-obtained subject lexicon, filtering disaster emergency information, performing screening filtering on information with low emergency degree, filtering noise and redundant information, and screening out disaster emergency information with high emergency degree;
for each disaster emergency information screened out, extracting surface features in the disaster emergency information;
the S2 specifically includes:
the remote sensing image of the disaster area is interpreted according to each type of disaster emergency demand, and the thematic information of the disaster emergency demand of the type, which is acquired from the remote sensing image, is superposed on the surface map layer of the disaster area through the interpretation of the remote sensing image, so that a map of the thematic information related to the disaster emergency demand of the type is acquired and is used as a base map of the thematic map of the disaster emergency demand of the type.
2. The method for generating an emergency thematic map according to claim 1, wherein the S3 further comprises:
obtaining a plurality of buffer areas by taking the central position of the disaster as the center of a circle and preset radius intervals;
and analyzing the disaster emergency demand data corresponding to the ground objects in each buffer area, and displaying the analysis result on a thematic map of the disaster emergency demand.
3. The method for generating an emergency thematic map according to claim 1 or 2, wherein the S2 specifically includes:
according to the rescue requirements of major casualties, the remote sensing image of the disaster area is interpreted to generate a building damage thematic map and/or a secondary disaster thematic map as a base map;
accordingly, the S3 includes: for the major casualty rescue requirements, the earthquake disaster emergency information and disaster emergency requirement data corresponding to all ground objects in the search rescue disaster emergency information are superposed on the base map according to the geographic coordinate information of the ground objects, and a special map of the major casualty rescue requirements is generated.
4. The method for generating an emergency thematic map according to claim 1 or 2, wherein the S2 specifically includes:
according to the emergency evacuation and arrangement requirements of personnel, interpreting the remote sensing image of the disaster area to generate a thematic map of the safety area and a thematic map of the road condition as base maps;
accordingly, the S3 includes: and for the emergency evacuation and arrangement requirements of the personnel, disaster emergency requirement data corresponding to all the ground objects in the rescue type disaster emergency information are superposed on the base map according to the geographic coordinate information of the ground objects, so that a thematic map of the emergency evacuation and arrangement requirements of the personnel is generated.
5. The method for generating an emergency thematic map according to claim 1 or 2, wherein the S2 specifically includes:
according to major medical rescue requirements, the remote sensing image of the disaster area is interpreted to generate a building damage thematic map and a medical facility thematic map as base maps;
accordingly, the S3 includes: for the major medical needs, disaster emergency demand data corresponding to all ground objects in the rescue type disaster emergency information are found and are superposed on the base map according to the geographic coordinate information of the ground objects, and a thematic map of the major medical rescue needs is generated.
6. A generation system of an emergency thematic map is characterized by comprising:
the data extraction module is used for extracting the ground objects in the disaster emergency information for each disaster emergency information acquired from the social media data, and acquiring disaster emergency demand data corresponding to the ground objects by combining a pre-established geographical name lookup table; the disaster emergency demand data comprises names, shape categories, geographical coordinate information, each administrative region, disaster emergency information and types of the disaster emergency information;
the base map generation module is used for interpreting the remote sensing image of the disaster area according to each type of disaster emergency requirements to obtain a base map of a thematic map of the disaster emergency requirements; the geodetic coordinate system used by the remote sensing image is the same as the geodetic coordinate system used by the place name lookup table established in advance;
the aggregation module is used for superposing disaster emergency demand data corresponding to all ground objects in each type of disaster emergency information reflecting the type of disaster emergency demand on a base map of the special map of the type of disaster emergency demand according to the geographic coordinate information of the ground objects for each type of disaster emergency demand according to all types of disaster emergency information reflecting the type of disaster emergency demand, and generating the special map of the type of disaster emergency demand;
the social media data are VGI data carrying geographic information; the types of the disaster emergency information comprise a lifeline engineering type, a secondary disaster type, an earthquake situation and disaster type, a medical epidemic prevention type, a rescue and relief type and a rescue seeking type; the types of the disaster emergency demands comprise important casualty rescue demands, personnel emergency evacuation and placement demands and important medical rescue demands;
the data extraction module is specifically configured to:
performing word segmentation on each disaster emergency information acquired from social media data, and extracting surface features in each disaster emergency information;
for each ground feature, acquiring the shape category, the geographic coordinate information and each level of administrative region to which the ground feature belongs by inquiring a pre-established geographical name lookup table; classifying the disaster emergency information of the surface feature through a classifier to obtain the type of the disaster emergency information of the surface feature;
the specific steps of performing word segmentation on each disaster emergency information acquired from the social media data and extracting the surface feature in each disaster emergency information include:
performing word segmentation on each disaster emergency information acquired from social media data, removing stop words, performing structural representation on the rest word segmentation texts, and constructing a vector space model;
performing word segmentation matching according to a vector space model, a regular expression and a pre-obtained subject lexicon, filtering disaster emergency information, performing screening filtering on information with low emergency degree, filtering noise and redundant information, and screening out disaster emergency information with high emergency degree;
for each disaster emergency information screened out, extracting surface features in the disaster emergency information;
the base map generation module is specifically used for interpreting the remote sensing image of the disaster area according to each type of the disaster emergency demand, and overlaying the thematic information of the disaster emergency demand of the type acquired from the remote sensing image on the surface map layer of the disaster area through the interpretation of the remote sensing image to obtain a map of the thematic information related to the disaster emergency demand of the type, wherein the map is used as the base map of the thematic map of the disaster emergency demand of the type.
7. A computer program product, characterized in that the computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to carry out the method according to any one of claims 1 to 5.
8. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810273889.9A CN108510566B (en) | 2018-03-29 | 2018-03-29 | Generation method and system of emergency thematic map |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810273889.9A CN108510566B (en) | 2018-03-29 | 2018-03-29 | Generation method and system of emergency thematic map |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108510566A CN108510566A (en) | 2018-09-07 |
| CN108510566B true CN108510566B (en) | 2020-12-15 |
Family
ID=63379227
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810273889.9A Active CN108510566B (en) | 2018-03-29 | 2018-03-29 | Generation method and system of emergency thematic map |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108510566B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109582750A (en) * | 2018-10-26 | 2019-04-05 | 苏州百卓网络技术有限公司 | The method and device of dangerous source distribution is analyzed based on GIS spatial data |
| CN109344219A (en) * | 2018-10-26 | 2019-02-15 | 苏州百卓网络技术有限公司 | Method and device based on the space lattice technology analysis high-incidence region of accident |
| CN110211482B (en) * | 2019-05-24 | 2024-03-26 | 南京工业大学 | Earthquake emergency drawing method based on audience |
| CN110781807A (en) * | 2019-10-23 | 2020-02-11 | 泰康保险集团股份有限公司 | Disaster information processing method and device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9002069B2 (en) * | 2012-09-24 | 2015-04-07 | International Business Machines Corporation | Social media event detection and content-based retrieval |
| CN103390039B (en) * | 2013-07-17 | 2017-02-08 | 北京建筑工程学院 | Urban disaster thematic map real-time generating method based on network information |
| CN105404686B (en) * | 2015-12-10 | 2018-08-31 | 湖南科技大学 | A kind of media event place name address matching method based on geographical feature level participle |
| CN106897400B (en) * | 2017-02-10 | 2020-04-07 | 中国农业大学 | Visualization method and system for seismic information in social networking media |
-
2018
- 2018-03-29 CN CN201810273889.9A patent/CN108510566B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108510566A (en) | 2018-09-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108510566B (en) | Generation method and system of emergency thematic map | |
| US20080278311A1 (en) | Advanced Emergency Geographical Information System | |
| Taubenböck et al. | Risk reduction at the “Last-Mile”: an attempt to turn science into action by the example of Padang, Indonesia | |
| Péroche et al. | An accessibility graph-based model to optimize tsunami evacuation sites and routes in Martinique, France | |
| Folger | Geospatial information and geographic information systems (GIS): An overview for congress | |
| Xu et al. | LBS based disaster and emergency management | |
| Goniewicz et al. | Geographic information system technology: review of the challenges for its establishment as a major asset for disaster and emergency management in Poland | |
| Bhanumurthy et al. | Spatial data integration for disaster/emergency management: an Indian experience | |
| Ključanin et al. | Spatial data infrastructure in natural disaster management | |
| Aule et al. | The proximity of road traffic crash black spots to federal road safety commission zebra location/emergency health care facilities in federal capital city, Abuja, Nigeria | |
| Hong et al. | Using 3D WebGIS to support the disaster simulation, management and analysis–examples of tsunami and flood | |
| Keskin et al. | Geographic information system and remote sensing based disaster management and decision support platform: AYDES | |
| Zhan et al. | Research and practice on disaster prevention planning in villages based on planning support system overview: Potential public policies on spatial planning for sustainable urban forms a Case Study | |
| Inayath | Early warning system and community based emergency response mechanism | |
| Frigerio et al. | A proposal for a geospatial database to support emergency management | |
| KR102648502B1 (en) | A safety evacuation route providing device that provides a bypass evacuation route to a dangerous area in case of disaster | |
| Souza et al. | Web-based emergency management information system for landslides occurrences | |
| Abdalla et al. | Introduction to disaster and emergency management science | |
| Aziz et al. | Enhancing Disaster Mitigation: Mobile-GIS Sister Village Evacuation Route System for Mount Merapi Eruption in Yogyakarta | |
| Chacón-Barrantes et al. | Advances in tsunami preparedness at the beginning of the Ocean Decade: the Costa Rica case | |
| Bothale et al. | Role of Geoinformatics in Development of Disaster Management Information System | |
| Khadri et al. | Remote Sensing & GIS Tools for Urban Studies in Akola city, Maharashtra. | |
| Giljanović et al. | The Role of Geoinformation in Crisis Situations | |
| Ekpa et al. | Spatial Mapping of Polling Units using Open-Source Software | |
| Saklani | Geo-Enabled Real Time Emergency Response System using Open System Architecture |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |