CN108304780A - A kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud - Google Patents
A kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud Download PDFInfo
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Abstract
The invention discloses a kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud, the L1 grade image datas of the visible light infrared scanning radiometer in No. three satellites of wind and cloud are pre-processed first, it is then based on pretreated image data and carries out doubtful fire point extraction, obtain doubtful fire point distribution map, finally according to the land use pattern of fire point pixel and the pseudo- fiery point of the fixed heat source document weeding of inquiry, crop straw burning fire point is isolated on doubtful fire point distribution map；The present invention passes through the visible light infrared scanning radiometer fully studying the characteristic parameter of No. three satellites of wind and cloud and carry thereon（VIRR）Band setting, make it possible the remotely-sensed data using No. three satellites of domestic wind and cloud it is convenient, it is effective, be continuously completed crop straw burning fire point and monitor, and currently used external satellite crop straw burning Monitoring Result can be verified and be supplemented, the time frequency of China's crop straw burning monitoring is greatly improved, effectively enhances stalk and prohibits the ability to supervise burnt.
Description
Technical field
The present invention relates to crop straw burning fire point monitoring technical field more particularly to a kind of stalks based on No. three satellites of wind and cloud
Burn fire point remote-sensing monitoring method.
Background technology
For a long time, crop straw burning prevention and cure of pollution are always one of important process of environmental protection；Open Burning Crop Residue mistake
Cheng Zhonghui discharges a large amount of gaseous pollutants and particulate matter, causes centainly to pollute to atmospheric environment；On a large scale, the stalk of high intensity is burnt
Burning event can cause the drastically decline of atmospheric visibility, increase haze weather odds, endanger health and the friendship of people
Logical safety.
However, information-based monitoring can't be fully achieved mainly based on artificial means to the monitoring of crop straw burning at present
Management level；In numerous rural areas of China, government, which mostly uses greatly, prohibits the measure for burning the tour of time value class to peasant's crop straw burning behavior
It is supervised, however this examine on the spot will expend a large amount of manpower and materials, and have tunnel vision, be limited in scope, have larger
Contingency.
With the high speed development of earth observation technology, the advantages that remote sensing is observed with its Large Area Synchronous, timeliness is strong, become
Crop straw burning monitors efficient, economic, practical brand-new route.Due to the daily detection requirement high frequency time of crop straw burning, ensured sustained development, mesh
Before be usually used in carrying out the light sensor data of this business mainly with the high grade satellite in orbit number of external hour of temporal resolution
Based on Terra/MODIS, Aqua/MODIS, NOAA/AVHRR.However, depending on external remotely-sensed data unduly, there are certain wind
Dangerous and limitation lacks independence to the spatio-temporal distribution of data, will greatly influence the progress of monitoring and warning work；
In addition, the common satellite generally existing active time such as Terra, Aqua, NOAA is longer, the quality of data declines and Annual distribution is concentrated
The problem of.
The transmitting of a new generation of China polar orbiting meteorological satellite wind and cloud No. three (FY-3) brings hope to solve this problem；Wind
Cloud three first two experiment stars FY-3A and FY-3B went up to the air respectively at 2008 and 2010,2013, FY-3C transmittings
Success, and formally put into service operation in June, 2014；FY-3A/C and FY-3B common networkings at present, form China's SSO (Sun Synchronous Orbit) gas
As the business layout that the upper and lower noon star networking of satellite is observed, therefore, how using the remotely-sensed data of No. three satellites of wind and cloud come to stalk
It burns fire point and carries out remote sensing monitoring, be a technical problem for being badly in need of solving.
Invention content
The object of the present invention is to provide a kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud, can
, continuously progress crop straw burning fire point monitoring convenient, effective using the remotely-sensed data of No. three satellites of domestic wind and cloud, effectively enhances straw
Stalk prohibits the ability to supervise burnt.
The technical solution adopted by the present invention is：A kind of crop straw burning fire point remote sensing monitoring side based on No. three satellites of wind and cloud
Method includes the following steps：
Step A：The data prediction of No. three satellites of wind and cloud；The radiation of visible light infrared scan is loaded on No. three satellites of wind and cloud
Meter, the visible light infrared scanning radiometer includes channel one, channel two, channel three, channel four, channel five, channel six, channel
Seven, the observation channel of channel eight, channel nine and channel ten totally ten one kilometer of resolution ratio, the channel one, channel two, channel
Six, channel seven, channel eight, channel nine and channel ten are visible channel, and channel three, channel four and channel five are infrared channel；
The image in channel one, channel two, channel three, channel four, channel five, channel six, channel seven, channel eight, channel nine and channel ten
Data have collectively constituted the L1 grade image datas of visible light infrared scanning radiometer, by visible light infrared scanning radiometer
L1 grades of image datas pre-processed to obtain the reflectivity image in channel one and channel two, channel three and channel four surface radiation
The bright temperature image of the earth's surface in brightness image and channel three.
Step B：Doubtful fire point extraction is carried out based on the image data that step A is pre-processed；Specifically include step B1-
B2；
Step B1：RGB pseudo color composings；For image on daytime, the surface radiation brightness image in channel three is assigned to red,
The reflectivity image in channel two assigns green, and the reflectivity image in channel one assigns blue, on colored synthesis figure, burning
Open fire area be denoted as cerise, cross flame range and be denoted as kermesinus；For night image, by the surface radiation brightness in channel three
Image assigns red, and the surface radiation brightness image in channel four assigns green and blue, and open firing point is still cerise in the picture,
Other topographical features are difficult identification, because not having visible channel participation in night composite diagram.
Step B2：Into row threshold division on the basis of step B1 carries out image processing；According to artificial visual result to logical
The surface radiation brightness image in road three obtains the initial binary that target is the doubtful fire point extraction that 1 background is 0 into row threshold division
Figure result；If indicating threshold value with T, which can be described with following formula：
Initial binary figure is compared with false colour composite image, threshold value T is repeatedly finely tuned, closer to most
Good threshold value, to obtain doubtful fire point distribution map.
Step C：Fire point identification is carried out on doubtful fire point distribution map and is determined；According to the land use pattern of fire point pixel
With the pseudo- fiery point of the fixed heat source document weeding of inquiry, crop straw burning fire point is isolated on doubtful fire point distribution map, stalk is obtained and burns
Make a fire a distribution map.
Further the step A further comprises the data prediction of No. three satellites of wind and cloud：
Step A1：Sensor is calibrated；The purpose of the step is to obtain reflectivity image and the channel in channel one and channel two
Three and channel four surface radiation brightness image.
First to the image data in channel one and channel two in the L1 grade image datas of visible light infrared scanning radiometer
Visible light near-infrared calibration is carried out, the reflectivity image in channel one and channel two is obtained, calibration formula is as follows：
F=SDN+I
Wherein, F is channel albedo, and S is slope, and I is intercept, DN be visible channel earth observation count value, that is, it is bright
Angle value；
Secondly to the image data in channel three and channel four in the L1 grade image datas of visible light infrared scanning radiometer
Infrared channel calibration is carried out, obtains the surface radiation brightness image in channel three and channel four, infrared channel calibration includes that star is reached the standard grade
Property calibration and spoke luminance non-linearity correct two steps.
The formula of linear scaled is on star：
NLIN=ScaleDN+Offset
N in formulaLINFor linear scaled spoke brightness value, unit is m W/m2·cm-1Sr, Scale are gain, and Offset is
Intercept, DN are the earth observation count value of infrared channel.
Spoke luminance non-linearity is corrected, i.e. ground calibration, and formula is：
N=b0+(1+b1)NLIN+b2NLIN 2
N is revised calibration spoke brightness value, unit mW/m in formula2·cm-1Sr, i.e. surface radiation brightness value, b0、
b1、b2For correction coefficient.
Step A2：The bright temperature of earth's surface calculates；The purpose of the step is to calculate the bright temperature image of earth's surface in channel three；
Brightness temperature refers to when spectral radiance of the object under Same Wavelength is equal with blackbody spectrum radiation intensity
Blackbody temperature；Channel three has obtained surface radiation brightness value by linear scaled and ground calibration on the star in step A1, utilizes
Surface radiation brightness value can be converted into effective blackbody temperature by following formula：
In formulaFor effective blackbody temperature, C1=1.1910427 × 10-5mW/(m2·sr·cm-4), C2=
1.4387752cmK VCIt is the infrared channel center wave number that ground calibration obtains, N is the radiance after calibration.
Due in terms of sensor physics, acquired with above formulaMathematics must also be carried out according to sensor characteristics
The actual detection temperature of wanted wave band can just be obtained by correcting, and formula is as follows：
T is the bright temperature of earth's surface of wanted wave band in formula, and A, B are constant, the respectively slope and intercept of temperature correction.
Further the step A further comprises step A3 to the data prediction of No. three satellites of wind and cloud；
Step A3：Geometric correction, using GLT geometric corrections method to the obtained channel one step A1 and step A2 and channel two
Reflectivity image, channel three and the bright temperature image of the earth's surface in the surface radiation brightness image in channel four and channel three carry out geometry
It corrects, the purpose of geometric correction is the geometric distortion for the L1 grade image datas for correcting visible light infrared scanning radiometer.
Pseudo- fire point is rejected according further to the land use pattern of fire point pixel is specially：By doubting in survey region
The MCD12Q1 ground mulching categorical datas in L3 grades of products of distribution map and the MODIS in the same year, which are put, like fire carries out space overlapping, it will
Fiery vertex type divides into forest fires, Grassland Fire point, urban heat island and crop straw burning fire point, to effectively reject outside crop land
Heat anomaly point.
Be further advanced by the fixed heat source data of inquiry is specially to reject pseudo- fire point：Fixed heat source be divided into typical heat source and
Two kinds of atypia heat source；Typical heat source is long-term high temperature dot, and main includes large-scale steel plant, steam power plant and Yao Chang, these works
Factory possesses heat supply heat-removal equipment, is picked by searching map on the net or establishing data according to other existing fixed heat source data
It removes；Atypia heat source is mainly some semiworks of construction near farmland, and distributed more widely and heat releasing source characteristic is unknown, by looking into
The correlation experience data for asking long term monitoring accumulation rejects its part.
The present invention passes through the visible light infrared scan spoke fully studying the characteristic parameter of No. three satellites of wind and cloud and carry thereon
The band setting of meter (VIRR) is penetrated, first to the L1 grade image datas of the visible light infrared scanning radiometer in No. three satellites of wind and cloud
It is pre-processed, is then based on pretreated image data and carries out doubtful fire point extraction, obtain doubtful fire point distribution map, finally
According to the land use pattern of fire point pixel and the pseudo- fiery point of the fixed heat source document weeding of inquiry, detached on doubtful fire point distribution map
Go out crop straw burning fire point；That the invention enables the remotely-sensed datas using No. three satellites of domestic wind and cloud is convenient, effective, is continuously completed straw
Stalk burns fire point monitoring and is possibly realized, and can currently used external satellite crop straw burning Monitoring Result be verified and be mended
It fills, the time frequency of China's crop straw burning monitoring is greatly improved, effectively enhance stalk and prohibit the ability to supervise burnt.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Specific implementation mode
As shown in Figure 1, a kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud, including walk as follows
Suddenly：
Step A：The data prediction of No. three satellites (FY-3) of wind and cloud；It is loaded with outside visible red and sweeps on No. three satellites of wind and cloud
Radiometer (VIRR) is retouched, the visible light infrared scanning radiometer includes channel one, channel two, channel three, channel four, channel
Five, the observation channel of channel six, channel seven, channel eight, channel nine and channel ten totally ten one kilometer of resolution ratio, the channel
One, channel two, channel six, channel seven, channel eight, channel nine and channel ten are visible channel, channel three, channel four and channel
Five be infrared channel, and the centre wavelength in channel three, channel four and channel five is near 4 μm, 11 μm, 12 μm, to underlay surface radiation
Variation is sensitive；Channel one, channel two, channel three, channel four, channel five, channel six, channel seven, channel eight, channel nine and channel
Ten image data has collectively constituted the L1 grade image datas of visible light infrared scanning radiometer, by visible light infrared scan
The L1 grade image datas of radiometer are pre-processed to obtain the reflectivity image in channel one and channel two, channel three and channel four
The bright temperature image of the earth's surface in surface radiation brightness image and channel three.
Step A further comprises step A1, step A2 and step A3 to the data prediction of No. three satellites of wind and cloud.
Step A1：Sensor is calibrated；Sensor calibration is actually that the count value that satellite instrument detects is converted into physics
Amount, the purpose of the step is the reflectivity image for obtaining channel one and channel two and the surface radiation brightness in channel three and channel four
Image.
First to the image data in channel one and channel two in the L1 grade image datas of visible light infrared scanning radiometer
Visible light near-infrared calibration is carried out, the reflectivity image in channel one and channel two is obtained, calibration formula is as follows：
F=SDN+I (1)
Wherein, F is channel albedo, and S is slope, and I is intercept, DN be visible channel earth observation count value, that is, it is bright
Angle value；The numerical value of S and I is stored in the file attribute of L1 grade image datas of visible light infrared scanning radiometer.
Secondly to the image data in channel three and channel four in the L1 grade image datas of visible light infrared scanning radiometer
Infrared channel calibration is carried out, obtains the surface radiation brightness image in channel three and channel four, infrared channel calibration includes that star is reached the standard grade
Property calibration and spoke luminance non-linearity correct two steps.
The formula of linear scaled is on star：
NLIN=ScaleDN+Offset (2)
N in formulaLINFor linear scaled spoke brightness value, unit is m W/m2·cm-1Sr, Scale are gain, and Offset is
Intercept, DN are the earth observation count value of infrared channel；Scale and Offset is stored in the L1 of visible light infrared scanning radiometer
The science data of grade image data are concentrated.
Spoke luminance non-linearity is corrected, i.e. ground calibration, and formula is：
N=b0+(1+b1)NLIN+b2NLIN 2 (3)
N is revised calibration spoke brightness value, unit mW/m in formula2·cm-1Sr, i.e. surface radiation brightness value, b0、
b1、b2For correction coefficient；It is stored in the file attribute of L1 grade image datas of visible light infrared scanning radiometer.
Step A2：The bright temperature of earth's surface calculates；The purpose of the step is that the bright temperature image of earth's surface in channel three is calculated.
Brightness temperature refers to when spectral radiance of the object under Same Wavelength is equal with blackbody spectrum radiation intensity
Blackbody temperature；Channel three has obtained surface radiation brightness value by linear scaled and ground calibration on the star in step A1, utilizes
Surface radiation brightness value can be converted into effective blackbody temperature by following formula：
In formulaFor effective blackbody temperature, C1=1.1910427 × 10-5mW/(m2·sr·cm-4), C2=
1.4387752cmK VCIt is the infrared channel center wave number that ground calibration obtains, N is the radiance after calibration.
Due in terms of sensor physics, acquired with formula (4)It must also be according to sensor characteristics into line number
Correct the actual detection temperature that can just obtain wanted wave band, and formula is as follows：
T is the bright temperature of earth's surface of wanted wave band in formula, and A, B are constant, the respectively slope and intercept of temperature correction.
Step A3：Geometric correction, using GLT geometric corrections method to the obtained channel one step A1 and step A2 and channel two
Reflectivity image, channel three and the bright temperature image of the earth's surface in the surface radiation brightness image in channel four and channel three carry out geometry
It corrects, the purpose of geometric correction is the geometric distortion for the L1 grade image datas for correcting visible light infrared scanning radiometer；Due to FY-
3VIRR spatial resolutions are low, have no longer been applicable in by the conventional geometric bearing calibration of ground control point, therefore have used GLT geometry school
It executes and geometric correction is carried out to VIRR data.
Step B：Doubtful fire point extraction is carried out based on the image data that step A is pre-processed；Specifically include step B1-
B2。
Step B1：RGB pseudo color composings；For image on daytime, the surface radiation brightness image in channel three is assigned to red,
The reflectivity image in channel two assigns green, and the reflectivity image in channel one assigns blue, on colored synthesis figure, burning
Open fire area be denoted as cerise, cross flame range and be denoted as kermesinus；For night orbital data, by the surface radiation in channel three
Brightness image assigns red, and the surface radiation brightness image in channel four assigns green and blue, and open firing point is still fresh in the picture
Red, other topographical features are difficult identification, because not having visible channel participation in night composite diagram.
Step B2：Into row threshold division on the basis of step B1 carries out pseudo color composing；According to artificial visual result pair
The surface radiation brightness image in channel three obtains initial two that target is the doubtful fire point extraction that 1 background is 0 into row threshold division
It is worth figure result；If indicating threshold value with T, which can be described with following formula：
Initial binary figure is compared with false colour composite image, threshold value T is repeatedly finely tuned, closer to most
Good threshold value, to obtain doubtful fire point distribution map.
Step C：Fire point identification is carried out on doubtful fire point distribution map and is determined；According to the land use pattern of fire point pixel
With the pseudo- fiery point of the fixed heat source document weeding of inquiry, crop straw burning fire point is isolated on doubtful fire point distribution map, stalk is obtained and burns
Make a fire a distribution map.
Pseudo- fire point is rejected according to the land use pattern of fire point pixel is specially：By the doubtful fire point minute in survey region
MCD12Q1 ground mulching categorical datas in L3 grades of products of Butut and the MODIS in the same year carry out space overlapping, by fiery vertex type
Forest fires, Grassland Fire point, urban heat island and crop straw burning fire point are divided into, so as to effectively reject the heat outside crop land
Abnormal point.
Pseudo- fire point is rejected by the fixed heat source data of inquiry is specially：Fixed heat source is divided into typical heat source and atypia heat
Two kinds of source；Typical heat source is long-term high temperature dot, and main includes large-scale steel plant, steam power plant and Yao Chang, these factories possess pot
The heat supplies heat-removal equipment such as stove, chimney, the heat discharged daily is relatively high, by searching map on the net or according to other existing
Fixed heat source data is established data and is rejected；Atypia heat source is mainly some semiworks of construction near farmland, distribution
Unknown compared with wide and heat releasing source characteristic, resulting pseudo- fire point is difficult to accomplish whole rejectings, can be by inquiring long term monitoring accumulation
Correlation experience data its part is rejected；If in three months or more time, same position constantly or is frequently supervised
Heat anomaly point is measured, which is probably fixed heat source, on-site inspection can be unfolded at this time, if being confirmed as heat source, you can
Experiential basis of the correlation experience data as follow-up monitoring is added.
The invention enables simple using domestic No. three satellite remote sensing dates of wind and cloud, quickly and efficiently completion crop straw burning is fiery
Point monitoring business is possibly realized, and can currently used external satellite crop straw burning Monitoring Result be verified and be supplemented, greatly
The time frequency for improving the monitoring of China's crop straw burning, to avoid flame range farmland to a certain extent because rapid turn over is brought
The influence failing to judge and judge by accident of mistake flame range, effectively enhance stalk and prohibit the ability to supervise burnt.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that：It is still
It can modify to the technical solution recorded in previous embodiment, either which part or all technical features are carried out etc.
With replacement；And these modifications or replacements, technical solution of the embodiment of the present invention that it does not separate the essence of the corresponding technical solution
Range.
Claims (5)
1. a kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud, which is characterized in that include the following steps：
Step A：The data prediction of No. three satellites of wind and cloud；It is loaded with visible light infrared scanning radiometer on No. three satellites of wind and cloud,
The visible light infrared scanning radiometer include channel one, channel two, channel three, channel four, channel five, channel six, channel seven,
The observation channel of channel eight, channel nine and channel ten totally ten one kilometer of resolution ratio, it is the channel one, channel two, channel six, logical
Road seven, channel eight, channel nine and channel ten are visible channel, and channel three, channel four and channel five are infrared channel；Channel
One, the image data in channel two, channel three, channel four, channel five, channel six, channel seven, channel eight, channel nine and channel ten
The L1 grade image datas for having collectively constituted visible light infrared scanning radiometer, pass through the L1 grades to visible light infrared scanning radiometer
Image data is pre-processed to obtain the reflectivity image in channel one and channel two, channel three and the surface radiation brightness in channel four
The bright temperature image of the earth's surface in image and channel three；
Step B：Doubtful fire point extraction is carried out based on the image data that step A is pre-processed；Specifically include step B1-B2；
Step B1：RGB pseudo color composings；For image on daytime, the surface radiation brightness image in channel three is assigned to red, channel
Two reflectivity image assigns green, and the reflectivity image in channel one assigns blue, and on colored synthesis figure, what is burnt is bright
Flame range is denoted as cerise, crosses flame range and is denoted as kermesinus；For night image, by the surface radiation brightness image in channel three
Red is assigned, the surface radiation brightness image in channel four assigns green and blue, and open firing point is still cerise in the picture, other
Topographical features are difficult identification, because not having visible channel participation in night composite diagram；
Step B2：Into row threshold division on the basis of step B1 carries out image processing；According to artificial visual result to channel three
Surface radiation brightness image into row threshold division, obtain the initial binary figure knot that target is the doubtful fire point extraction that 1 background is 0
Fruit；If indicating threshold value with T, which can be described with following formula：
Initial binary figure is compared with false colour composite image, threshold value T is repeatedly finely tuned, closer to best threshold
Value, to obtain doubtful fire point distribution map；
Step C：Fire point identification is carried out on doubtful fire point distribution map and is determined；According to the land use pattern of fire point pixel and look into
The pseudo- fiery point of fixed heat source document weeding is ask, crop straw burning fire point is isolated on doubtful fire point distribution map, obtains crop straw burning fire
Point distribution map.
2. the crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud as described in claim 1, it is characterised in that：
The step A further comprises the data prediction of No. three satellites of wind and cloud：
Step A1：Sensor is calibrated；The purpose of the step is to obtain three He of reflectivity image and channel in channel one and channel two
The surface radiation brightness image in channel four；
The image data in channel one and channel two in the L1 grade image datas of visible light infrared scanning radiometer is carried out first
Visible light near-infrared is calibrated, and the reflectivity image in channel one and channel two is obtained, and calibration formula is as follows：
F=SDN+I
Wherein, F is channel albedo, and S is slope, and I is intercept, and DN is earth observation count value, that is, brightness of visible channel
Value；
Secondly the image data in channel three and channel four in the L1 grade image datas of visible light infrared scanning radiometer is carried out
Infrared channel is calibrated, and the surface radiation brightness image in channel three and channel four is obtained, and infrared channel calibration includes linearly fixed on star
Mark and spoke luminance non-linearity correct two steps；
The formula of linear scaled is on star：
NLIN=ScaleDN+Offset
N in formulaLINFor linear scaled spoke brightness value, unit is m W/m2·cm-1Sr, Scale are gain, and Offset is intercept,
DN is the earth observation count value of infrared channel；
Spoke luminance non-linearity is corrected, i.e. ground calibration, and formula is：
N=b0+(1+b1)NLIN+b2NLIN 2
N is revised calibration spoke brightness value, unit mW/m in formula2·cm-1Sr, i.e. surface radiation brightness value, b0、b1、b2
For correction coefficient；
Step A2：The bright temperature of earth's surface calculates；The purpose of the step is to calculate the bright temperature image of earth's surface in channel three；
Brightness temperature refers to black matrix when spectral radiance of the object under Same Wavelength is equal with blackbody spectrum radiation intensity
Temperature；Channel three has obtained surface radiation brightness value, has utilized following formula by linear scaled and ground calibration on the star in step A1
Surface radiation brightness value can be converted into effective blackbody temperature：
In formulaFor effective blackbody temperature, C1=1.1910427 × 10-5mW/(m2·sr·cm-4), C2=1.4387752cm
K, VCIt is the infrared channel center wave number that ground calibration obtains, N is the radiance after calibration；
Due in terms of sensor physics, acquired with above formulaMathematics must also be carried out according to sensor characteristics to correct
The actual detection temperature of wanted wave band can be obtained, formula is as follows：
T is the bright temperature of earth's surface of wanted wave band in formula, and A, B are constant, the respectively slope and intercept of temperature correction.
3. the crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud as claimed in claim 2, it is characterised in that：
The step A further comprises step A3 to the data prediction of No. three satellites of wind and cloud；
Step A3：Geometric correction, using GLT geometric corrections method to the anti-of the obtained channel one step A1 and step A2 and channel two
The bright temperature image of earth's surface of the surface radiation brightness image and channel three of penetrating rate image, channel three and channel four carries out geometry and entangles
Just, the purpose of geometric correction is the geometric distortion for the L1 grade image datas for correcting visible light infrared scanning radiometer.
4. the crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud, feature exist as claimed in claim 1 or 2
In：Pseudo- fire point is rejected according to the land use pattern of fire point pixel is specially：By the doubtful fire point distribution map in survey region
Space overlapping is carried out with the MCD12Q1 ground mulching categorical datas in the L3 grades of products of MODIS in the same year, fiery vertex type is distinguished
For forest fires, Grassland Fire point, urban heat island and crop straw burning fire point, to effectively reject the heat anomaly point outside crop land.
5. the crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud, feature exist as claimed in claim 1 or 2
In：Pseudo- fire point is rejected by the fixed heat source data of inquiry is specially：Fixed heat source is divided into typical heat source and atypia heat source two
Kind；Typical heat source is long-term high temperature dot, and main includes large-scale steel plant, steam power plant and Yao Chang, these factories possess heat supply row
Hot equipment is rejected by searching map on the net or establishing data according to other existing fixed heat source data；Atypia heat
Source is mainly some semiworks of construction near farmland, and distributed more widely and heat releasing source characteristic is unknown, passes through and inquires long term monitoring
The correlation experience data of accumulation rejects its part.
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| CN201711471773.8A CN108304780A (en) | 2017-12-29 | 2017-12-29 | A kind of crop straw burning fire point remote-sensing monitoring method based on No. three satellites of wind and cloud |
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| CN109536231A (en) * | 2018-12-21 | 2019-03-29 | 王武荣 | Agricultural stalk and forestry waste comprehensively utilize monitoring system |
| CN110348421A (en) * | 2019-07-18 | 2019-10-18 | 北华航天工业学院 | Temperate Region in China forest fire detection method based on MODIS data |
| CN111008599A (en) * | 2019-12-06 | 2020-04-14 | 国网湖南省电力有限公司 | Mountain fire synchronous satellite monitoring and early warning method and system based on time scale feature evaluation |
| CN111380807A (en) * | 2020-03-30 | 2020-07-07 | 中国科学院东北地理与农业生态研究所 | Straw burning fire point information extraction method based on geostationary satellite remote sensing data |
| CN111696074A (en) * | 2020-04-30 | 2020-09-22 | 中国资源卫星应用中心 | Fire point monitoring system based on high score four and application |
| CN111753754A (en) * | 2020-06-28 | 2020-10-09 | 三亚中科遥感研究所 | Straw combustion fire point identification method based on heat source heavy industry area analysis |
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| CN113657275A (en) * | 2021-08-16 | 2021-11-16 | 中国科学院空天信息创新研究院 | Automatic detection method for forest and grass fire points |
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| CN113674166A (en) * | 2021-07-30 | 2021-11-19 | 中国环境科学研究院 | Accounting method for methane emission generated by waste incineration treatment |
| CN113657275A (en) * | 2021-08-16 | 2021-11-16 | 中国科学院空天信息创新研究院 | Automatic detection method for forest and grass fire points |
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| CN116363047A (en) * | 2022-08-23 | 2023-06-30 | 生态环境部卫星环境应用中心 | Early warning method for pollution risk of straw incineration atmosphere |
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| CN117789025A (en) * | 2023-12-26 | 2024-03-29 | 北京工业大学 | Open-air incineration emission estimation method for crop straws based on climate information |
| CN117789025B (en) * | 2023-12-26 | 2024-06-04 | 北京工业大学 | Open-air incineration emission estimation method for crop straws based on climate information |
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