CN110110595A - A kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image - Google Patents
A kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image Download PDFInfo
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Abstract
The present invention relates to remote sensing technology and geographic information system technology field, more particularly to a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image of agriculture big data analysis, include the following steps: 1), obtain satellite image remotely-sensed data；2), remotely-sensed data pre-processes；3), crop planting type-collection；4) the plot Vector Message of satellite image, is extracted；It 5), is plot vector typing attribute field information；6), the plot attribute field of typing is investigated；7) big data operation, is carried out to the ground block message of acquisition and screening is analyzed.A kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image provided by the invention has the advantages that farm field data precision is high, fining degree is high and data convincingness is strong.
Description
Technical field
The present invention relates to remote sensing technologies and geographic information system technology field, more particularly to one kind of agriculture big data analysis
Farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image.
Background technique
With the development in epoch and science and technology, traditional farming practices disappear substantially, instead have industrialization, section
The novel farming practices of skill Modern Characteristic.China is large agricultural country, is counted with the rise of science and technology and the promotion of technology, including greatly
In terms of widely being applied to agricultural according to, the emerging technology including remote sensing technology, GIS-Geographic Information System, have to crops
Means To Increase Production；More and more chemicals are sprinkled into farmland, such as chemical fertilizer, herbicide etc.；They are greatly improved
The yield of crops, and for most of peasant household the drawbacks of be the type of chemicals and brand it is various do not know how
Selection could greatly improve the yield of crops；How for peasant household provide plot fine-grained management and how science
Selecting chemical fertilizer, pesticide to reach volume increase purpose for farmland is problem urgently to be resolved.
Summary of the invention
The present invention is to solve the problems, such as that existing farmland fine-grained management is low, and provide a kind of base with data convincingness
In the farmland of satellite remote-sensing image portrait and medicine hypertrophy data analysing method.
The technical solution adopted by the present invention is that:
A kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image, includes the following steps:
1), obtain satellite image remotely-sensed data: using resolution ratio for the domestic high-resolution satellite image of 0.8 meter of sub-meter grade -- it is high
Divide No. two images；
2), remotely-sensed data pre-processes: being pre-processed to the satellite image got using ENVI software, preprocessing process includes
Radiation calibration, atmospheric correction, ortho-rectification, image registration and image enhancement；
3) crops, crop planting type-collection: are planted to arable land using classification of remote-sensing images algorithm or deep learning method
Type carry out classification extraction；
4), extract the plot Vector Message of satellite image: extracting plot vector according to satellite image includes peasant household's boundary of land block
It extracts, draw, modification, integrating and cover closing operation, finally obtaining the spatial positional information in plot；
5), it is plot vector typing attribute field information: mould is extracted to plot vector using GIS-Geographic Information System ArcMap software
The plot VectorLayer of block output establishes complete attribute list, attribute field typing land type, Bamboo resource, type of seeding,
Seed playback volume, sowing time, irrigation time, the irrigation frequency in crop cycle, unit area duty, chemical fertilizer kind
Class, chemical fertilizer brand, fertilization time, fertilizing method, unit area dose, herbicide type, herbicide brand, herbicide apply agent
Method, unit area apply dosage, the harvest time of crop, yield per unit area；
6), the plot attribute field of typing is investigated: in conjunction with the spatial positional information in 4), to the ground block's attribute word of typing
Duan Jinhang investigation, and the result of investigation is entered into the attribute field in corresponding plot；
7) big data operation, is carried out to the ground block message of acquisition and screening is analyzed: using big data operational analysis module to plot
Attribute information carry out operational analysis operation, finally obtain needs parcel assessment report and analytical statement.
Further, atmospheric correction described in step 2 uses flaash atmospheric correction models, and the ortho-rectification uses
The rpb file carried based on GF2 satellite is handled, and image enhancement is stretched with hsv color spatial alternation using 2% and assisted
Identify crop.
Further, the method for crop planting type-collection described in step 3), including establish four layers of decision tree and carry out two
Classify and is extracted using newest convolutional neural networks method.
Further, plot vector described in step 4) is extracted, extraction, drafting, modification including peasant household's boundary of land block, whole
Close, output and it is mating；Specific step is as follows:
41), plot of peasant household's block area greater than 5 mu using the rule-based object-oriented information extraction utility in ENVI into
Row extracts, and plot of the area less than 5 mu is extracted using the method that GIS-Geographic Information System ArcMap software is manually drawn；
42) it modified with ArcMap software by boundary after, the extraction of peasant household plot finishes, integrate all ground being extracted
Block exports plot VectorLayer.
Further, block's attribute field is investigated over the ground described in step 6), is included the following steps:
61) process of refinement again, is carried out on the basis of the soil types in the whole nation using remote sensing image to soil property type, so
Afterwards by the attributes extraction tool of arcgis by attribute assignment in the plot of institute's vector quantization, and then obtained the soil in each plot
Earth type；
62) inverting, is carried out by temperature of the Thermal Infrared Data of Landsat8 data to ground, detects the temperature of earth's surface in real time
Degree, and then monitor the water shortage situation of the growth conditions of crops and earth's surface, come according to the different type and temperature of soil accurate
Detection each plot the case where, investigated for large-scale temperature, inverting carried out using MODIS data, in addition, in MODIS
Under the frame of data, the fining that Kriging interpolation method carries out temperature is carried out using daily meteorological site, when both ensure that
Between precision, in turn ensure the precision in space；
63) the N cellulose content and long potential analysis for, simultaneously, being carried out inverting crop using remote sensing satellite, are detected using NDVI time series data
The growing way of crop is timely remedied and special management for the bad region of growing way；
64), according to history accumulated temperature and accumulation rainfall, the maturity period of the crop of different zones is predicted, guarantees that crop exists
The most suitable time is harvested, and guarantees the maximization of yield；
65) yield for, counting plot carries out the optimization of crop yield estimating model according to a large amount of output statistics data, constantly corrects
Model.
The beneficial effects of the present invention are:
1, satellite remote-sensing image is applied in farmland medicine hypertrophy data analysing method, plot can be visually analyzed,
Additionally it is possible to compare the details of different croplands, farmland fine-grained management is realized；
2, by being investigated the detailed attribute information in farmland and uploading to cloud by internet, can with system to farmland into
The analysis of row intelligent management, solves the chain rupture between position and attribute information, is come using the method for remote sensing big data analysis auxiliary
The attribute information for helping investigation plot, realizes macroscopical high efficiency；
3, screening, the inquiry of farmland attribute information are provided, and online report is obtained in real time to the plot attribute information of investigation；
4, visualization comparative analysis is carried out to data with big data algorithm model, keeps analysis conclusion more convincing, as a result
It is more scientific reliable, scientific basis can be provided for government agricultural department decision, can also be popularized and applied to forestry growing way do it is similar
Big data analysis.
In short, a kind of farmland portrait and medicine hypertrophy data analysing method tool based on satellite remote-sensing image provided by the invention
Have the advantages that farm field data precision is high, fining degree is high and data convincingness is strong.
Detailed description of the invention
Fig. 1 is a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image provided by the invention
Flow chart.
Specific embodiment
Core of the invention is to provide a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image.
The content of the present invention will be further explained with reference to the accompanying drawing:
This programme provides a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image, including following steps
Suddenly；
1) satellite remote-sensing image obtains: being that No. two images of 0.8 meter of domestic satellite high score carry out to investigation regional scope intrinsic resolution
Cutting processing.Survey area is bigger, and survey target is more, and essentially identical growing environment is obtained after big data operational analysis
Plot it is more, the report of big data operational analysis module output is more accurate reliable.
2) satellite image within the scope of survey region is pre-processed: preprocessing process remote sensing software ENVI completes behaviour
Make, processing step mainly includes radiation calibration, atmospheric correction, ortho-rectification, image registration and image enhancement operation；Wherein atmosphere
Correction uses flaash atmospheric correction models, and ortho-rectification uses the rpb file carried based on GF2 satellite to be handled, and schemes
Image intensifying, which is stretched using 2% with hsv color spatial alternation, assists in identifying crop.
3) classification of crops: feature extraction is carried out to crops using the sample of field data acquisition, then establishes 4 layers of decision
Tree carries out two classification, and precision is mentioned in large area extraction process using the method for newest convolutional neural networks 90%
It takes, in the preferable situation of the quality of image, precision is 93%；
4) carry out the extraction of plot vector to the pretreated result images of satellite remote-sensing image: it mainly includes peasant household that plot vector, which extracts,
The extraction of boundary of land block, drafting, modification, integration, output, fitting.In order to improve efficiency, reach the precision for block area
It is required that carrying out according to following standard: the operation of extraction and the drafting of peasant household's boundary of land block, plot of the area greater than 5 mu use
Rule-based object-oriented information extraction utility in ENVI extracts, and plot of the area less than 5 mu uses geography information
The method that system ArcMap software is manually drawn is extracted.It extracts to finish and is modified later with ArcMap software by boundary, is whole in plot
All plot being extracted are closed, plot VectorLayer is exported.The plot vector of output can obtain plot with image fitting
Spatial positional information.
5) plot vector attribute field typing: plot VectorLayer has been established using GIS-Geographic Information System ArcMap software
Whole attribute list, attribute field typing soil property type, Bamboo resource, type of seeding, seed application rate, the sowing time, irrigate when
Between, the irrigation frequency in crop cycle, unit area duty, chemical fertilizer type, chemical fertilizer brand, fertilization time, fertilising
Method, unit area dose, herbicide type, herbicide brand, herbicide apply agent method, unit area applies dosage, crop
Harvest time, yield per unit area etc..
6), the plot attribute field of typing is investigated:, can according to the plot spatial positional information obtained in step 4)
Accurately to find out plot position.Further according to plot position investigation plot in step 4) the soil property type of typing,
Bamboo resource, type of seeding, seed application rate, sowing time, irrigation time, the irrigation frequency in crop cycle, unit
Area duty, chemical fertilizer brand, fertilization time, fertilizing method, unit area dose, herbicide type, removes chemical fertilizer type
Careless agent brand, herbicide apply agent method, unit area applies dosage, the harvest time of crop, yield per unit area ground block message;
Wherein, the algorithm flow used to attribute information investigation remarks additionally:
(1) soil property type carries out process of refinement again using remote sensing image on the basis of the soil types in the whole nation, then
By the attributes extraction tool of arcgis by attribute assignment in the plot of institute's vector quantization, and then obtained the soil in each plot
Type;
(2) inverting is carried out by temperature of the Thermal Infrared Data of Landsat8 data to ground, detects the temperature of earth's surface in real time,
And then monitor the growth conditions of crops and the water shortage situation of earth's surface, it is accurately examined according to the different type and temperature of soil
The case where surveying each plot is investigated for large-scale temperature, inverting is carried out using MODIS data, in addition, in MODIS data
Frame under, carry out the fining that Kriging interpolation method carries out temperature using daily meteorological site, both ensure that time essence
Degree, in turn ensures the precision in space;
(3) simultaneously, the N cellulose content and long potential analysis that inverting crop is carried out using remote sensing satellite, use NDVI(Normalized
Difference Vegetation Index, vegetation index, standard difference vegetation index) time series data examines
The growing way for surveying crop, is timely remedied and special management for the bad region of growing way；
(4) according to history accumulated temperature and accumulation rainfall, the maturity period of the crop of different zones is predicted, guarantees crop most
The suitable time is harvested, and guarantees the maximization of yield；
(5) yield for counting plot, the optimization of crop yield estimating model is carried out according to a large amount of output statistics data, constantly amendment mould
Type；
(6) result that farmland attribute information is investigated is entered into plot vector attribute field typing by farmland attribute information typing
In module in corresponding plot attribute field.
7) big data operation is carried out to the ground block message of acquisition and screening is analyzed: the attribute list of farmland attribute information is utilized
Big data operation carries out inquiry screening, unwanted data filtering is fallen only display important information, and export plot assessment report
And analytical statement.Such as, expect and crops annual output is generated using different chemical fertilizer brands under essentially identical growing environment
Difference it is necessary to using big data operation in all data the soil property class in addition to chemical fertilizer brand and yield per unit area
Type, Bamboo resource, type of seeding, seed application rate, sowing time, irrigation time, the irrigation frequency in crop cycle, list
Plane accumulates duty, chemical fertilizer type, fertilization time, fertilizing method, unit area dose, herbicide type, herbicide product
Board, herbicide apply agent method, unit area applies dosage, the identical plot of harvest time information of crop is extract, and complete agriculture
Analytical statement is exported after the screening of the identical growing environment of crop.This report can only distinguish chemical fertilizer product under identical growing environment
Board and yield per unit area.The the yield per unit area of identical chemical fertilizer brand the high just to illustrate that this chemical fertilizer brand effect is good, on the contrary
Effect is poor.
According to above-mentioned specific embodiment as it can be seen that it is provided by the invention it is a kind of based on satellite remote-sensing image farmland portrait and
Medicine hypertrophy data analysing method has the advantages that farm field data precision is high, fining degree is high and data convincingness is strong.
Claims (5)
1. a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image according to claim 1,
It is characterized by comprising following step:
1), obtain satellite image remotely-sensed data: using resolution ratio for the domestic high-resolution satellite image of 0.8 meter of sub-meter grade -- it is high
Divide No. two images；
2), remotely-sensed data pre-processes: being pre-processed to the satellite image got using ENVI software, preprocessing process includes
Radiation calibration, atmospheric correction, ortho-rectification, image registration and image enhancement；
3) crops, crop planting type-collection: are planted to arable land using classification of remote-sensing images algorithm or deep learning method
Type carry out classification extraction；
4), extract the plot Vector Message of satellite image: extracting plot vector according to satellite image includes peasant household's boundary of land block
It extracts, draw, modification, integrating and cover closing operation, finally obtaining the spatial positional information in plot；
5), it is plot vector typing attribute field information: mould is extracted to plot vector using GIS-Geographic Information System ArcMap software
The plot VectorLayer of block output establishes complete attribute list, attribute field typing land type, Bamboo resource, type of seeding,
Seed playback volume, sowing time, irrigation time, the irrigation frequency in crop cycle, unit area duty, chemical fertilizer kind
Class, chemical fertilizer brand, fertilization time, fertilizing method, unit area dose, herbicide type, herbicide brand, herbicide apply agent
Method, unit area apply dosage, the harvest time of crop, yield per unit area；
6), the plot attribute field of typing is investigated: in conjunction with the spatial positional information in 4), to the ground block's attribute word of typing
Duan Jinhang investigation, and the result of investigation is entered into the attribute field in corresponding plot；
7) big data operation, is carried out to the ground block message of acquisition and screening is analyzed: using big data operational analysis module to plot
Attribute information carry out operational analysis operation, finally obtain needs parcel assessment report and analytical statement.
2. a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image according to claim 1,
It is characterized by: atmospheric correction described in step 2 uses flaash atmospheric correction models, the ortho-rectification, which uses, is based on GF2
The included rpb file of number satellite is handled, and image enhancement is stretched using 2% and hsv color spatial alternation is made to assist in identifying
Object.
3. a kind of farmland portrait and medicine hypertrophy data analysing method based on satellite remote-sensing image according to claim 1,
It is characterized by: the method for crop planting type-collection described in step 3), including establish four layers of decision tree carry out two classification and
It is extracted using newest convolutional neural networks method.
4. a kind of farmland portrait and medicine fertilizer big data analysis side based on satellite remote-sensing image according to claim 1
Method, it is characterised in that: plot vector described in step 4) is extracted, extraction, drafting, modification, integration including peasant household's boundary of land block,
It exports and mating；Specific step is as follows:
41), plot of peasant household's block area greater than 5 mu using the rule-based object-oriented information extraction utility in ENVI into
Row extracts, and plot of the area less than 5 mu is extracted using the method that GIS-Geographic Information System ArcMap software is manually drawn；
42) it modified with ArcMap software by boundary after, the extraction of peasant household plot finishes, integrate all ground being extracted
Block exports plot VectorLayer.
5. a kind of farmland fragrance of a flower and medicine hypertrophy data analysing method based on satellite remote-sensing image according to claim 1,
It is characterized by: block's attribute field is investigated over the ground described in step 6), include the following steps:
61) process of refinement again, is carried out on the basis of the soil types in the whole nation using remote sensing image to soil property type, so
Afterwards by the attributes extraction tool of arcgis by attribute assignment in the plot of institute's vector quantization, and then obtained the soil in each plot
Earth type；
62) inverting, is carried out by temperature of the Thermal Infrared Data of Landsat8 data to ground, detects the temperature of earth's surface in real time
Degree, and then monitor the water shortage situation of the growth conditions of crops and earth's surface, come according to the different type and temperature of soil accurate
Detection each plot the case where, investigated for large-scale temperature, inverting carried out using MODIS data, in addition, in MODIS
Under the frame of data, the fining that Kriging interpolation method carries out temperature is carried out using daily meteorological site, when both ensure that
Between precision, in turn ensure the precision in space；
63) the N cellulose content and long potential analysis for, simultaneously, being carried out inverting crop using remote sensing satellite, are detected using NDVI time series data
The growing way of crop is timely remedied and special management for the bad region of growing way；
64), according to history accumulated temperature and accumulation rainfall, the maturity period of the crop of different zones is predicted, guarantees that crop exists
The most suitable time is harvested, and guarantees the maximization of yield；
65) yield for, counting plot carries out the optimization of crop yield estimating model according to a large amount of output statistics data, constantly corrects
Model.
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Cited By (11)
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| CN112215717A (en) * | 2020-10-13 | 2021-01-12 | 江西省农业科学院农业经济与信息研究所 | Agricultural information management system based on electronic map and aerial photography information |
| CN112988003A (en) * | 2019-12-13 | 2021-06-18 | 广州极飞科技股份有限公司 | Farming information display method and device, storage medium and processor |
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