CN108106676A - A kind of monitoring method and device of the crops Spring frost based on remotely-sensed data - Google Patents
A kind of monitoring method and device of the crops Spring frost based on remotely-sensed data Download PDFInfo
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- CN108106676A CN108106676A CN201810110826.1A CN201810110826A CN108106676A CN 108106676 A CN108106676 A CN 108106676A CN 201810110826 A CN201810110826 A CN 201810110826A CN 108106676 A CN108106676 A CN 108106676A
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
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- G01W—METEOROLOGY
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Abstract
The present invention provides a kind of monitoring method and device of the crops Spring frost based on remotely-sensed data, by the way that region gridding will be monitored, for each mesh point, on the one hand the meteorological data of meteorological site in the crop growth phase is obtained, on the other hand, extract the meteorological data in remotely-sensed data in the crop growth phase, and both sides meteorological data is subjected to data assimilation, meteorological data after being assimilated, and based on the meteorological data after assimilation, the increment of the crops on the same day is determined to determine the biological characteristic of corps canopy, the temperature record of the corps canopy on the same day is determined according to the meteorological data of the biological characteristic of corps canopy and the same day, the Spring frost region on the same day is determined according to the temperature record of the corps canopy on the same day.So as in the monitoring process to Spring frost, remotely-sensed data and ground real-time monitoring data be combined, overcome and only rely on shortcoming present in the real-time monitoring data of ground, improve the monitoring accuracy of Spring frost.
Description
Technical field
The present invention relates to crops monitoring technology field, more particularly, to a kind of crops evening based on remotely-sensed data
The monitoring method and device of frost damage.
Background technology
Grain security is related to national economy, concerning the sustainable development of national economy and the stabilization of society.Spring frost
It is one of China's agrometeorological hazard, after typically occurring in crops jointing.Such as winter wheat be China's staple food crop it
One, in northern plantation extensively；Almost have every year in Wheat in Northern area and Spring frost occurs to some extent, especially the Yellow River and Huai He River wheat
Area devastated is affected greatly up to 45% to agricultural production；Therefore the real-time monitoring of crops Spring frost after calamity to mending
It rescues, freeze injury scale evaluation and production forecast are of great significance.
The generation of corps canopy temperature and Spring frost is closely related, and the temperature of canopy is handed over by solar radiation, turbulent flow
Change, the influence of wind speed etc. and frequently change, observe and understand its dynamic change being respectively provided with certain difficulty on single-point and regional scale
Degree.In recent years as to the theoretical further investigation of the crops ecosystem and crops physiological ecological basis, discovery can pass through
Consider the numerical model to interact between the field-crop ecosystem and heat and water flow process to realize to plant growth
The simulation of journey and agricultural microclimate element judges Spring frost region by the result of simulation.
Existing numerical model generally requires basis of the upper pad surface meteorological element as simulation, the biography of upper pad surface meteorological element
Acquisition methods unite to be provided by each meteorological site, but this there are limited amount, meteorological datas at meteorological site to be not enough to completely
It represents and is arranged at whole region meteorology variation characteristic and meteorological site on urban fringe or suburb vacant lot more, with farmland
Microclimate environment the defects of especially temperature difference is larger, it is impossible to which the heterogeneity space for fully demonstrating near surface weather environment becomes
Change information.Although spatial interpolation methods can realize meteorological element such as temperature, solar radiation quantity, vapour pressure, average wind in region
The acquisition of data on the face of speed, precipitation, dew-point temperature etc., but with spatial interpolation methods estimation obtain temperature record due to
It is influenced be subject to landform, sampling point density etc., error is larger.
The content of the invention
In order to overcome the above problem or solve the above problems at least partly, the present invention provides a kind of based on remotely-sensed data
Crops Spring frost monitoring method and device.
According to an aspect of the present invention, a kind of monitoring method of the crops Spring frost based on remotely-sensed data is provided,
Including：Region gridding will be monitored, obtain the meteorological data set of each mesh point, meteorological data set by crops growth
Daily first highest temperature, first lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation and dew point temperature in phase
Degree is formed；The temperature record set of each mesh point at preset height is obtained based on remotely-sensed data, temperature record set by
Daily second highest temperature and second lowest temperature are formed within the growth period at preset height；By first highest temperature and
Second highest temperature carries out data assimilation, obtains the 3rd highest temperature, by first lowest temperature and second lowest temperature into line number
According to assimilation, obtain the 3rd lowest temperature, and by the 3rd highest temperature and the 3rd lowest temperature replace respectively first highest temperature and
First lowest temperature, to optimize the meteorological data set of each mesh point；According to the meteorological data of each mesh point after optimization
Set, determines increment of each mesh point by the end of the crops on the same day；According to the 3rd highest gas on each mesh point same day
Temperature, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature and each mesh point are by the end of the agriculture on the same day
The increment of crop determines temperature record of each mesh point same day at corps canopy, was existed according to each mesh point same day
Temperature record at corps canopy determines the Spring frost region on the same day.
Another aspect of the present invention provides a kind of monitoring device of the crops Spring frost based on remotely-sensed data, including：
At least one processor；And at least one processor being connected with processor communication, wherein：Memory storage has and can be processed
The program instruction that device performs, processor caller instruct to perform above-mentioned method.
Another aspect of the present invention provides a kind of computer program product, which includes being stored in non-
Computer program in transitory computer readable storage medium, which includes program instruction, when the program instruction quilt
When computer performs, computer is made to perform above-mentioned method.
Another aspect of the present invention, provides a kind of non-transient computer readable storage medium storing program for executing, and the non-transient computer is readable
Storage medium stores computer program, which makes computer perform above-mentioned method.
The monitoring method and device of a kind of crops Spring frost based on remotely-sensed data provided by the invention, by that will supervise
It surveys regional network to format, for each mesh point, one side obtains the meteorological data of meteorological site in the crop growth phase, the opposing party
The meteorological data in remotely-sensed data in the crop growth phase is extracted in face, and by both sides meteorological data by corresponding processing
Carry out data assimilation again afterwards, the meteorological data after being assimilated, and based on the meteorological data after assimilation, determine that cut-off is worked as
Day crops increment with determine corps canopy biological characteristic, finally according to the biological characteristic of corps canopy and work as
The meteorological data of day determines the temperature record of the corps canopy on the same day, is determined according to the temperature record of the corps canopy on the same day
The Spring frost region on the same day.Thus in the monitoring process to Spring frost, by remotely-sensed data and ground real-time monitoring data
Combine, the heterogeneity space for overcoming the existing near surface weather environment for only relying on ground real-time monitoring data becomes
The shortcomings that change, small landform limitation and sampling density, improves the monitoring accuracy of Spring frost.
Description of the drawings
It, below will be to embodiment or the prior art in order to illustrate more clearly of technical solution of the invention or of the prior art
Attached drawing is briefly described needed in description, it should be apparent that, the accompanying drawings in the following description is the one of the present invention
A little embodiments, for those of ordinary skill in the art, without creative efforts, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the flow according to the monitoring method of the crops Spring frost based on remotely-sensed data of the embodiment of the present invention
Figure；
Fig. 2 is the stream according to the monitoring method of the crops Spring frost based on remotely-sensed data of another embodiment of the present invention
Cheng Tu.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, is clearly and completely described the technical solution in the present invention, it is clear that described embodiment is a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound
All other embodiments obtained under the premise of the property made work, belong to the scope of protection of the invention.
In one embodiment of the invention, with reference to figure 1, a kind of crops Spring frost based on remotely-sensed data is provided
Monitoring method, including：S11 will monitor region gridding, obtain the meteorological data set of each mesh point, meteorological data set
By first highest temperature daily in the growth period of crops, first lowest temperature, solar radiation quantity, vapour pressure, mean wind speed,
Precipitation and dew-point temperature are formed；S12 obtains temperature record collection of each mesh point at preset height based on remotely-sensed data
It closes, temperature record set is by second highest temperature and second lowest temperature institute group daily within the growth period of preset height
Into；First highest temperature and second highest temperature are carried out data assimilation, the 3rd highest temperature are obtained, by the first minimum gas by S13
Mild second lowest temperature carries out data assimilation, obtains the 3rd lowest temperature, and by the 3rd highest temperature and the 3rd lowest temperature
First highest temperature and first lowest temperature are replaced respectively, to optimize the meteorological data set of each mesh point；S14, according to excellent
The meteorological data set of each mesh point after change determines increment of each mesh point by the end of the crops on the same day；S15,
According to the 3rd highest temperature, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, the dew point on each mesh point same day
Temperature and each mesh point determine each mesh point same day at corps canopy by the end of the increment of the crops on the same day
Temperature record determines the Spring frost region on the same day according to temperature record of each mesh point same day at corps canopy.
Specifically, Spring frost refers to meet low temperature in spring improvements processus aboralis and moisture in crops tissue is caused to freeze, lead
Plant frostbite or a kind of low temperature agrometeorological hazard for the short time freezed to death are caused, the temperature record of corps canopy is Spring frost
The most important foundation of regional determination.
The growth of crops and upper pad surface meteorological element is closely related in growth period, these meteorological elements include temperature, too
Positive amount of radiation, vapour pressure, mean wind speed, precipitation and dew-point temperature etc.；For the bigger region of an area, pass through analysis
The data of multiple points embody the distribution situation of various data in region in region, can significantly save data analysis amount, this reality
It applies in example, region gridding will be monitored, and the meteorological data at each mesh point is obtained in units of day, wherein, daily gas
Temperature further includes the lowest temperature and the highest temperature, and the lowest temperature herein is known as first lowest temperature, by highest gas herein
Temperature is known as first highest temperature；More than meteorological data be typically by meteorological site offer, there are meteorological site limited amount,
Meteorological data is not enough to represent whole region meteorology variation characteristic completely and meteorological site is arranged at urban fringe or suburb more
On area vacant lot, the defects of especially temperature difference is larger with agricultural microclimate environment；Remote sensing technology is the theory according to electromagnetic wave,
The electromagnetic wave information for radiating and reflecting to distant object using various sensor apparatus is collected, handles, and finally into
Picture, obtains the remote sensing image of different resolution, and remote sensing image is also referred to as remotely-sensed data；Various letters of the remotely-sensed data bag containing earth's surface
Breath, wherein MODIS products can extract surface temperature, wide coverage, and have round-the-clock characteristic.It is contemplated that by will be distant
Meteorological data that meteorological data and the meteorological site of data extraction provide is felt to combination, to obtain more accurate meteorological data,
Especially temperature.
Remotely-sensed data, such as MODIS LST data can extract earth's surface temperature, when there is vegetative coverage earth's surface, extraction
It is the temperature above vegetation, therefore after earth's surface temperature is extracted by remotely-sensed data, need to be uniformly converted into the temperature of preset height,
The precision to Spring frost regional determination can be improved, and the lowest temperature herein is known as second lowest temperature, it will herein
The highest temperature is known as second highest temperature, which is higher than the highest growing height of crops, such as is for crops
Wheat, the preset height can be set to 2m.
In order to obtain more accurate temperature record, first highest temperature and second highest temperature are subjected to data assimilation,
First lowest temperature and second lowest temperature are subjected to data assimilation, obtain the 3rd highest temperature after data assimilation and the respectively
Three lowest temperatures；Data assimilation refers on the basis of data spatial and temporal distributions and observation field and background field error is considered, in number
It is worth the method that new observation data are merged in the dynamic running process of model.It is in the dynamic frame of process model, is passed through
Data assimilation algorithm constantly merges the direct or indirect observation information of the separate sources of discrete distribution and different resolution on space-time
Come self-optimizing model track, to improve the estimated accuracy of dynamic model state, improve model prediction ability.The number of the present embodiment
It is preferably Ensemble Kalman Filter (Ensemble Kalman Fileter, EnKF) algorithm according to assimilation algorithm, data assimilation process
It is divided into two steps of prediction and update, principle is as follows：
Assuming that t moment then has there are one state forecast set：
Bt=HAt+vt；
Wherein, BtIt is observation set, H is Observation Operators, since state variable and observational variable are temperature, observation
Operator is 1, AtIt is second highest temperature or second lowest temperature, vtIt is measurement noise,It is forecast state set,It is
Analyze state set, i.e., corresponding first highest temperature or first lowest temperature, wtIt is process error.KtIt is set card
Germania gain matrix is also known as weight matrix, represents the weight of observation data.KtComputational methods it is as follows：
Wherein,Represent 1 state in t moment forecast ensemble, bi,tRepresent 1 observation state of t moment,It represents
The average of t moment forecast ensemble,Represent the average of t moment observation set,Represent the variance of t moment forecast ensemble, RtTable
Show the variance of t moment observation set, N is set sizes, HTIt is that H turns order.
The meteorology that crop growth can be influenced by establishing crop growth model, and in the growth period according to crops will
Element, i.e., each mesh point daily the 3rd highest temperature, the 3rd lowest temperature, solar radiation quantity, vapour pressure, mean wind speed and drop
Water, to determine increment of each mesh point by the end of the crops on the same day.Inside corps canopy, vertical point of temperature
Cloth follows certain rule, can be according to the 3rd highest temperature, the 3rd minimum gas on each mesh point same day by this rule
Temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature and each mesh point by the end of the crops on the same day increment,
The temperature record at each height of corps canopy to determine each mesh point same day, and according to the agriculture on each mesh point same day
Temperature record at each height of crop canopies determines the Spring frost region on the same day.
The present embodiment, for each mesh point, is on the one hand obtained in the crop growth phase by that will monitor region gridding
On the other hand the meteorological data of meteorological site, extracts the meteorological data in remotely-sensed data in the crop growth phase, and by two aspects
Meteorological data carry out data assimilation again after handling accordingly, the meteorological data after being assimilated, and with the gas after assimilation
Based on image data, determine the increment of crops on the cut-off same day with the biological characteristic of definite corps canopy, last root
The temperature record of the corps canopy on the same day is determined according to the biological characteristic of corps canopy and the meteorological data on the same day, according to the same day
The temperature record of corps canopy determine the Spring frost region on the same day.Thus in the monitoring process to Spring frost, it will
Remotely-sensed data and ground real-time monitoring data combine, and overcome the existing near surface for only relying on ground real-time monitoring data
The shortcomings that heterogeneity spatial variations, the landform of weather environment limit and sampling density is small, improves the monitoring of Spring frost
Precision.
Based on above example, the meteorological data set of each mesh point is obtained, including：Obtain each gas in monitoring region
As the observation data acquisition system of website, observation data acquisition system is by the highest temperature daily in growth period, the lowest temperature, solar radiation
Amount, vapour pressure, mean wind speed, precipitation and dew-point temperature are formed；Based on spatial interpolation methods, according to each meteorological site
Data acquisition system is observed, obtains the meteorological data set of each mesh point.
Specifically, using the observation data of meteorological site, these data include the highest temperature day by day, the lowest temperature, too
The data of 7 meteorological elements such as positive amount of radiation, vapour pressure, mean wind speed, precipitation, dew-point temperature, based on spatial interpolation methods
The daily highest temperature, the lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation, dew-point temperature are carried out respectively
Interpolation, obtain the daily highest temperature of each mesh point, the lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation,
Dew-point temperature.Wherein, inverse distance weighted interpolation method (IDW) can be selected in spatial interpolation methods, and specific formula for calculation is：
In upper two formula：λiFor weight, diFor the distance between mesh point and i-th meteorological site, Z is the meteorology of mesh point
Data, ZiFor the observation data of i-th (i=1,2,3 ..., n) a meteorological site.
Based on above example, temperature record set of each mesh point at preset height is obtained based on remotely-sensed data,
Including：Build the first temperature transition model and second temperature transformation model, the first temperature transition model at preset height most
High temperature measured value and according to remotely-sensed data extract highest temperature value between transfer function, second temperature transformation model is pre-
If highly place lowest temperature measured value and according to remotely-sensed data extract lowest temperature value between transfer function；According to remote sensing
Data extract the 4th highest temperature and the 4th lowest temperature daily in the growth period of each mesh point；According to the first temperature transition
Model and the 4th highest temperature obtain second highest temperature；Second is obtained according to second temperature transformation model and the 4th lowest temperature
The lowest temperature；By each mesh point second highest temperature daily within the growth period at preset height and the second lowest temperature group
Into temperature record set of the set as each mesh point at preset height.
Wherein, the first temperature transition model and second temperature transformation model are built, including：Obtain each in monitoring region adopt
Sampling point the 5th highest temperature and the 5th lowest temperature daily within the growth period at preset height；It is every according to remotely-sensed data extraction
Daily the 6th highest temperature and the 6th lowest temperature in the growth period of one sampled point；According to the 5th highest temperature and the 6th highest
Temperature builds the first temperature transition model；According to the 5th lowest temperature and the 6th lowest temperature structure second temperature transformation model.
Specifically, selecting several sampled points in region is monitored, set temperature passes at the preset height of each sampled point
Sensor gathers daily temperature Change, and obtains the daily highest temperature and the lowest temperature, respectively as the 5th highest temperature and
5th lowest temperature；Simultaneously based on remotely-sensed data, each sampled point daily highest temperature and the lowest temperature are extracted, respectively as
5th highest temperature and the 6th highest temperature are carried out regression analysis, are preset by the 6th highest temperature and the 6th lowest temperature
Highly place highest temperature measured value and according to remotely-sensed data extract highest temperature value between transfer function, as first temperature
Transformation model is spent, the 5th lowest temperature and the 6th lowest temperature are subjected to regression analysis, obtain the lowest temperature at preset height
Measured value and according to remotely-sensed data extract lowest temperature value between transfer function, as second temperature transformation model, this two
A transfer function is preferably linear function.Then the daily 4th is extracted in the growth period of each mesh point according to remotely-sensed data most
High temperature and the 4th lowest temperature；Second highest temperature is obtained according to the first temperature transition model and the 4th highest temperature；According to
Second temperature transformation model and the 4th lowest temperature obtain second lowest temperature.
Based on above example, according to the meteorological data set of each mesh point after optimization, determine that each mesh point is cut
Only to the same day crops increment, including：Determine the life of the soil data and crops in the growth period of each mesh point
Long parameter；By the soil data in the growth period of the meteorological data set of each mesh point after optimization and each mesh point
It is input to the WOFOST models demarcated with the growth parameter(s) of crops, exports crops of each mesh point by the end of the same day
Unit area stem quality, the total dry mass of unit area aerial part and leaf area index；According to plant height and unit area stem
Function between quality determines plant height of each mesh point by the end of the crops on the same day, according between leaf width and leaf area index
Function determine leaf width of each mesh point by the end of the crops on the same day；By the plant height of crops, leaf width, leaf area index and
Increment of the results such as total dry mass of unit area aerial part as crops.
Specifically, in the numerous crop growth models having built up, WOFOST (World Food Studies) model
Different Crop species or kind can be used for by changing crop parameter, using day as time step dynamic simulation plant growth
And growth course, the basic physiological ecological process of crop and plant structure relevant parameter are quantitatively described.
To the critical developmental parameter of WOFOST models, first pass through and consult bibliography, WOFOST models are recommended, measuring
Etc. modes determine may value range, then determine final argument value with FSEOPT optimizations program combination field measured value.
The soil parameters of WOFOST models has mainly surveyed field capacity, wilting coefficient, saturation moisture content etc..Table 1 is WOFOST moulds
The displaying of the main growth parameter(s) of type.
The main growth parameter(s) of table 1WOFOST models
By the 3rd highest temperature daily in the growth period of above-mentioned growth parameter(s) and the crops of each mesh point, the 3rd
The input parameter of the lowest temperature, solar radiation quantity, vapour pressure, mean wind speed and precipitation as WOFOST models, and run
WOFOST models export the unit area stem quality of the crops on each mesh point same day, unit area aerial part is always done
The results such as quality and leaf area index (LAI).
Utilize recurrence of the plant height that the crops jointing stage to florescence surveys with unit area stem quality structure between the two
Equation, the regression equation are usually an exponential function, and each net is determined according to unit area stem quality and the regression equation
The plant height of the crops on the lattice point same day.
In jointing stage and boot stage, crops leaf width, leaf are long and leaf area index constantly increases；Heading stage leaf width continues
Increase, and leaf area index reduces after gradually increasing to maximum；Leaf width is held essentially constant after heading stage.It is pulled out using crops
The leaf width that section phase to heading stage surveys builds dependent equation between the two with leaf area index, which is usually one two
Secondary function determines the leaf width of the crops on each mesh point same day according to leaf area index and the dependent equation.
By plant height, leaf width, leaf area index and total dry mass of unit area aerial part at each of the above mesh point etc.
As a result the increment as the crops at each mesh point.
Based on above example, according to the 3rd highest temperature, the 3rd lowest temperature, solar radiation on each mesh point same day
Amount, mean wind speed, precipitation, dew-point temperature and each mesh point determine each net by the end of the increment of the crops on the same day
Temperature record of the lattice point same day at corps canopy, including：Determine the earth's surface biological physical features ginseng on each mesh point same day
Number, soil physical chemistry parameter, hydraulic characteristic parameter and Soil Temperature And Moisture degrees of data；By the 3rd highest temperature on each mesh point same day,
3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature, each mesh point by the end of the same day crops
Increment and the earth's surface biological physical characteristic parameter on each mesh point same day, soil physical chemistry parameter, hydraulic characteristic parameter and
Soil Temperature And Moisture degrees of data is input to the SHAW models demarcated, and exports temperature number of each mesh point same day at corps canopy
According to.
Specifically, SHAW (Simultaneous Heat and Water) model is One-dimensional Vertical multilayer hydrothermal reaction coupling mould
Type, can be by for simulating the transmission conversion process of the moisture of each layer in soil-vegetation-atmosphere system, heat, Solute flux
For simulating the microclimatic elements such as the temperature in the corps canopies such as corn, wheat.The operation of SHAW models is accurate dependent on energy
The parameter of vertical direction plant structure is described.
Firstly the need of to SHAW model calibrations, mainly the earth's surface biological physical features including the same day are joined for the calibration of SHAW models
Number, soil physical chemistry parameter, hydraulic characteristic parameter and Soil Temperature And Moisture degrees of data determine, these parameters essentially from bibliography or
Person is based on measured data and calculates acquisition.Table 2 is the displaying of the main characteristic parameters of SHAW model calibrations.
The main characteristic parameters of table 2SHAW model calibrations
By the main characteristic parameters of above-mentioned calibration and the 3rd highest temperature, the 3rd minimum gas on each mesh point same day
Temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature, each mesh point are made by the end of the increment of the crops on the same day
For the input parameter of SHAW models, and SHAW models are run, export the temperature record of the corps canopy on each mesh point same day.
Based on above example, the evening on the same day is determined according to temperature record of each mesh point same day at corps canopy
Frost damage region, including：According to temperature record of each mesh point same day at corps canopy determine monitoring region in agriculture
Lowest temperature distribution map at crop canopies；Using the lowest temperature in lowest temperature distribution map be less than the region of default temperature as
Spring frost region.
Specifically, since Spring frost is to meet low temperature in spring improvements processus aboralis and moisture in crops tissue is caused to freeze,
The low temperature agrometeorological hazard of a kind of short time for causing plant frostbite or freezing to death, should basis when judging Spring frost region
The characteristic of crops sets default temperature, when the temperature of canopy is less than the default temperature, can cause moisture in crops tissue
It freezes and causes Spring frost.In the present embodiment, determine to supervise according to the temperature record of the corps canopy on each mesh point same day
The lowest temperature distribution map of the corps canopy in region is surveyed, then determines that temperature is less than default temperature in lowest temperature distribution map
Region, using these regions as Spring frost region.Meanwhile low temperature continuous time distribution map can be also obtained, some regions are
The lowest temperature is made to be less than default temperature, may not be grown due to the lowest temperature duration, be not enough to cause Spring frost, in order to keep away
Exempt from such case, lowest temperature distribution map combination low temperature continuous time distribution map is confirmed into Spring frost region jointly, to improve
Monitor precision.
Based on above-described embodiment, with reference to figure 2, by taking the monitoring to the Spring frost of winter wheat as an example, monitoring region below is
Winter wheat planting area, crops are winter wheat；According to the meteorological data of meteorological site in monitoring region (including day highest gas
Temperature, daily minimal tcmperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation and dew-point temperature), using IDW difference arithmetics, obtain
Obtain the meteorological data at each mesh point；Meanwhile after being pre-processed to MODIS LST products, the day in extraction same time period is most
High temperature, daily minimal tcmperature, and by the daily maximum temperature in MODIS LST products and daily minimal tcmperature with being surveyed in monitoring region
Daily maximum temperature and daily minimal tcmperature establish transfer equation, by transfer equation, by each grid in MODIS LST products
Daily maximum temperature and daily minimal tcmperature at point are converted, and obtain transformed daily maximum temperature and daily minimal tcmperature, then
Based on assimilation algorithm, the daily maximum temperature obtained after IDW difference arithmetics and daily minimal tcmperature and transformed day highest will be used
Temperature and daily minimal tcmperature assimilate respectively, to optimize meteorological data.
Meteorological data after crop growth parameter, soil parameters and optimization is input to WOFOST models, output is worked as
Unit area stem quality, the total dry mass of unit area aerial part and the leaf area index of the crops of day, and according to correlation
Equation, unit area stem quality and leaf area index are respectively converted into plant height and leaf width data, with unit area on the ground
The total biomass parameters of dry mass and leaf area index as crops in part.
By meteorological data, the biomass parameters of crops, crops physical characteristic parameter, the soil physical chemistry ginseng after optimization
Number, water conservancy characterisitic parameter, soil temperature data and soil moisture data are input to SHAW models, export the corps canopy on the same day
Temperature record, Spring frost situation is judged according to the temperature record of the corps canopy on the same day.
For the present embodiment by appropriate inversion method, it is required that remote sensing information can largely help us to obtain
Spatial information.Remote sensing information have the characteristics that coverage is big, detection cycle is short, it is currency it is strong, expense cost is low, can be effective
It solves region parameter and obtains difficult bottleneck.Spatial interpolation technology is combined with remote sensing technology on acquisition face by assimilating algorithm
Meteorological element data, and itself and WOFOST models and SHAW models are combined, the application potential of lift scheme, quick dynamic
Ground obtains the temperature record of regional scale corps canopy and realizes that Spring frost monitors in real time.
As another embodiment of the present invention, the monitoring for providing a kind of crops Spring frost based on remotely-sensed data fills
It puts, including：At least one processor；And at least one processor being connected with processor communication, wherein：Memory storage has
The program instruction that can be executed by processor, processor caller instruct to perform the side that above-mentioned each method embodiment is provided
Method, such as including：Region gridding will be monitored, obtains the meteorological data set of each mesh point, meteorological data set is by farming
The first daily highest temperature, first lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation in the growth period of object
It is formed with dew-point temperature；Temperature record set of each mesh point at preset height, temperature number are obtained based on remotely-sensed data
It is made of according to set second highest temperature and second lowest temperature daily in the growth period at preset height；By first most
High temperature and second highest temperature carry out data assimilation, the 3rd highest temperature are obtained, by first lowest temperature and the second minimum gas
Temperature carries out data assimilation, obtains the 3rd lowest temperature, and the 3rd highest temperature and the 3rd lowest temperature are replaced first respectively most
High temperature and first lowest temperature, to optimize the meteorological data set of each mesh point；According to each mesh point after optimization
Meteorological data set determines increment of each mesh point by the end of the crops on the same day；According to the of each mesh point same day
Three highest temperatures, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature and each mesh point by the end of
The increment of the crops on the same day determines temperature record of each mesh point same day at corps canopy, according to each grid
Temperature record of the point same day at corps canopy determines the Spring frost region on the same day.
As another embodiment of the present invention, a kind of computer program product is provided, which includes
The computer program being stored on non-transient computer readable storage medium storing program for executing, the computer program include program instruction, work as program
Instruction is when being computer-executed, and computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including：It will monitoring
Regional network is formatted, and obtains the meteorological data set of each mesh point, and meteorological data set is by daily in the growth period of crops
First highest temperature, first lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation and dew-point temperature are formed；
Temperature record set of each mesh point at preset height is obtained based on remotely-sensed data, temperature record set is by preset height
Daily second highest temperature and second lowest temperature are formed in the growth period at place；By first highest temperature and the second highest gas
Temperature carries out data assimilation, obtains the 3rd highest temperature, and first lowest temperature and second lowest temperature are carried out data assimilation, obtained
3rd lowest temperature, and the 3rd highest temperature and the 3rd lowest temperature are replaced into first highest temperature and the first minimum gas respectively
Temperature, to optimize the meteorological data set of each mesh point；According to the meteorological data set of each mesh point after optimization, determine every
One mesh point is by the end of the increment of the crops on the same day；According to the 3rd highest temperature on each mesh point same day, the 3rd minimum
Temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature and each mesh point are by the end of the growth of the crops on the same day
Amount, determines temperature record of each mesh point same day at corps canopy, according to each mesh point same day in corps canopy
The temperature record at place determines the Spring frost region on the same day.
As another embodiment of the present invention, a kind of non-transient computer readable storage medium storing program for executing is provided, the non-transient meter
Calculation machine readable storage medium storing program for executing stores computer program, which put forward the above-mentioned each method embodiment of computer execution
The method of confession, such as including：Region gridding will be monitored, obtains the meteorological data set of each mesh point, meteorological data set
By first highest temperature daily in the growth period of crops, first lowest temperature, solar radiation quantity, vapour pressure, mean wind speed,
Precipitation and dew-point temperature are formed；Temperature record set of each mesh point at preset height is obtained based on remotely-sensed data,
Temperature record set is made of second highest temperature and second lowest temperature daily in the growth period at preset height；It will
First highest temperature and second highest temperature carry out data assimilation, the 3rd highest temperature are obtained, by first lowest temperature and second
The lowest temperature carries out data assimilation, obtains the 3rd lowest temperature, and the 3rd highest temperature and the 3rd lowest temperature are replaced respectively
First highest temperature and first lowest temperature, to optimize the meteorological data set of each mesh point；According to each net after optimization
The meteorological data set of lattice point determines increment of each mesh point by the end of the crops on the same day；Worked as according to each mesh point
The 3rd highest temperature, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature and each mesh point of day
By the end of the increment of the crops on the same day, temperature record of each mesh point same day at corps canopy is determined, according to every
Temperature record of the one mesh point same day at corps canopy determines the Spring frost region on the same day.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above method embodiment can pass through
Computer program instructions relevant hardware is completed, and foregoing computer program can be stored in a computer-readable storage and be situated between
In matter, the computer program upon execution, execution the step of including above method embodiment；And foregoing storage medium includes：
The various media that can store program code such as ROM, RAM, magnetic disc or CD.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
Order, which is used, so that computer equipment (can be personal computer, server or the network equipment etc.) performs each implementation
Method described in some parts of example or embodiment.
What is finally illustrated is：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although ginseng
The present invention is described in detail according to previous embodiment, it will be understood by those of ordinary skill in the art that：It still can be with
It modifies to the technical solution recorded in foregoing embodiments or equivalent substitution is carried out to which part technical characteristic；And
These modifications are replaced, and the essence of appropriate technical solution is not made to depart from the spirit and model of various embodiments of the present invention technical solution
It encloses.
Claims (10)
1. a kind of monitoring method of the crops Spring frost based on remotely-sensed data, which is characterized in that including：
Region gridding will be monitored, obtains the meteorological data set of each mesh point, the meteorological data set is by crops
Daily first highest temperature, first lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation and dew in growth period
Point temperature is formed；
The temperature record set of each mesh point at preset height is obtained based on remotely-sensed data, the temperature record set by
Daily second highest temperature and second lowest temperature are formed in the growth period at the preset height；
First highest temperature and second highest temperature are subjected to data assimilation, obtain the 3rd highest temperature, by described in
First lowest temperature and second lowest temperature carry out data assimilation, obtain the 3rd lowest temperature, and by the 3rd highest
Temperature and the 3rd lowest temperature replace first highest temperature and first lowest temperature respectively, to optimize each net
The meteorological data set of lattice point；
According to the meteorological data set of each mesh point after optimization, the crops of each mesh point by the end of the same day are determined
Increment；
According to the 3rd highest temperature on each mesh point same day, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation,
Dew-point temperature and each mesh point determine each mesh point same day in the agriculture by the end of the increment of the crops on the same day
Temperature record at crop canopies determines the same day according to temperature record of each mesh point same day at the corps canopy
Spring frost region.
2. according to the method described in claim 1, it is characterized in that, the meteorological data set for obtaining each mesh point, bag
It includes：
The observation data acquisition system of each meteorological site in the monitoring region is obtained, the observation data acquisition system is by the growth period
The interior daily highest temperature, the lowest temperature, solar radiation quantity, vapour pressure, mean wind speed, precipitation and dew-point temperature are formed；
Based on spatial interpolation methods, according to the observation data acquisition system of each meteorological site, the meteorological data of each mesh point is obtained
Set.
3. according to the method described in claim 1, it is characterized in that, described obtain each mesh point default based on remotely-sensed data
The highly temperature record set at place, including：
The first temperature transition model and second temperature transformation model are built, the first temperature transition model is the preset height
The highest temperature measured value at place and according to the remotely-sensed data extract highest temperature value between transfer function, it is described second temperature
Transformation model is spent for the lowest temperature measured value at the preset height and the lowest temperature value according to remotely-sensed data extraction
Between transfer function；
It is minimum according to the 4th highest temperature daily in the growth period of each mesh point of remotely-sensed data extraction and the 4th
Temperature；
Second highest temperature is obtained according to the first temperature transition model and the 4th highest temperature；According to described
Two temperature transition models and the 4th lowest temperature obtain second lowest temperature；
By each mesh point second highest temperature and the second minimum gas daily within the growth period at the preset height
Temperature record set of the set of temperature composition as each mesh point at preset height.
4. according to the method described in claim 3, it is characterized in that, the first temperature transition model of the structure and second temperature turn
Mold changing type, including：
Obtain the 5th highest that each sampled point is daily within the growth period at the preset height in the monitoring region
Temperature and the 5th lowest temperature；
It is minimum according to the 6th highest temperature daily in the growth period of each sampled point of remotely-sensed data extraction and the 6th
Temperature；
The first temperature transition model is built according to the 5th highest temperature and the 6th highest temperature；According to described
Five lowest temperatures and the 6th lowest temperature build the second temperature transformation model.
5. the according to the method described in claim 1, it is characterized in that, meteorological data of each mesh point according to after optimization
Set, determines increment of each mesh point by the end of the crops on the same day, including：
Determine the growth parameter(s) of the soil data and the crops in the growth period of each mesh point；
By the soil data in the growth period of the meteorological data set of each mesh point after optimization and each mesh point
The WOFOST models demarcated are input to the growth parameter(s) of the crops, export each mesh point by the end of described in the same day
The unit area stem quality and leaf area index of crops；
The crops of each mesh point by the end of the same day are determined according to the function between plant height and unit area stem quality
Plant height, leaf of each mesh point by the end of the crops on the same day is determined according to the function between leaf width and leaf area index
It is wide；
Using the plant height of the crops and leaf width as the increment of the crops.
6. according to the method described in claim 1, it is characterized in that, the 3rd highest gas according to each mesh point same day
Temperature, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, dew-point temperature and each mesh point are by the end of the institute on the same day
The increment of crops is stated, determines temperature record of each mesh point same day at the corps canopy, including：
Determine earth's surface biological physical characteristic parameter, soil physical chemistry parameter, hydraulic characteristic parameter and the soil on each mesh point same day
Data of the Temperature and Humidity module；
By the 3rd highest temperature, the 3rd lowest temperature, solar radiation quantity, mean wind speed, precipitation, the dew on each mesh point same day
Point temperature, each mesh point are by the end of the increment of the crops on the same day and the earth's surface biological on each mesh point same day
Physical characteristic parameter, soil physical chemistry parameter, hydraulic characteristic parameter and Soil Temperature And Moisture degrees of data are input to the SHAW models demarcated,
Export temperature record of each mesh point same day at the corps canopy.
7. according to the method described in claim 1, it is characterized in that, described be preced with according to each mesh point same day in the crops
Temperature record at layer determines the Spring frost region on the same day, including：
According to temperature record of each mesh point same day at the corps canopy determine it is described monitoring region in the agriculture
Lowest temperature distribution map at crop canopies；
The lowest temperature in the lowest temperature distribution map is less than the region of default temperature as the Spring frost region.
8. a kind of monitoring device of the crops Spring frost based on remotely-sensed data, which is characterized in that including：
At least one processor；And at least one processor being connected with the processor communication, wherein：
The memory storage has a program instruction that can be performed by the processor, the processor call described program instruction with
Perform the method as described in claim 1 to 7 is any.
9. a kind of computer program product, which is characterized in that the computer program product includes being stored in non-transient computer
Computer program on readable storage medium storing program for executing, the computer program include program instruction, when described program is instructed by computer
During execution, the computer is made to perform the method as described in claim 1 to 7 is any.
10. a kind of non-transient computer readable storage medium storing program for executing, which is characterized in that the non-transient computer readable storage medium storing program for executing is deposited
Computer program is stored up, the computer program makes the computer perform the method as described in claim 1 to 7 is any.
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| CN115762062A (en) * | 2022-11-08 | 2023-03-07 | 陕西省农业遥感与经济作物气象服务中心 | Kiwi fruit orchard meteorological disaster monitoring and early warning method and device |
| CN115762062B (en) * | 2022-11-08 | 2024-01-23 | 陕西省农业遥感与经济作物气象服务中心 | Kiwi fruit garden meteorological disaster monitoring and early warning method and device |
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