CN107389198A - It is a kind of that window Surface Temperature Retrieval method is split based on radiance - Google Patents
It is a kind of that window Surface Temperature Retrieval method is split based on radiance Download PDFInfo
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- CN107389198A CN107389198A CN201710372227.2A CN201710372227A CN107389198A CN 107389198 A CN107389198 A CN 107389198A CN 201710372227 A CN201710372227 A CN 201710372227A CN 107389198 A CN107389198 A CN 107389198A
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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Abstract
Surface temperature is the Important Parameters of the physical process of the earth and atmospheric interaction, is widely used in the research such as the hydrology, meteorology, Global carbon balance and whole world change.The present invention is by directly establishing the relation between two Detection Using Thermal Infrared Channel radiances, it is used for the solution of radiation transfer equation group instead of simplifying Planck function, an atmospheric parameter (ratio of Downward atmospheric long-wave radiation and air uplink radiation) is introduced simultaneously to improve the precision of simplified radiation transfer equation, the Split window algorithms (RBSWA) based on radiance are proposed, and algorithm is applied to MODIS data Surface Temperature Retrievals.With previously based on the Split window algorithms of brightness temperature compared with, RBSWA Surface Temperature Retrieval precision improves about 0.5K.Method And Principle proposed by the present invention is also applied for other IRMSS thermal bands.
Description
Technical field
The present invention relates to a kind of MODIS Surface Temperature Retrievals method, can apply in agricultural, forestry, meteorology, ecological environment
And the remote sensing such as national defense and military department.
Background technology
Split window algorithms, also known as binary channels algorithm, it is thermal infrared remote sensing Surface Temperature Retrieval method most general at present.Split window
Algorithm corrects atmospheric effect using two Detection Using Thermal Infrared Channel Atmospheric Absorption differences, calculates earth's surface true temperature.Current splits
Window algorithm is all the model established between surface temperature and two Detection Using Thermal Infrared Channel brightness temperatures, may be collectively referred to as being based on brightness temperature
The Split window algorithms of degree.In order to establish the model between surface temperature and two Detection Using Thermal Infrared Channel brightness temperatures, it is necessary to simplify Pu Lang
Gram equation, the relation between planck radiation brightness and brightness temperature is represented with simple model.The most frequently used simplification Pu Lang
The method of gram equation is Taylor Expansion.Under conditions of earth's surface specific heat capacity is larger, Water Vapor Content is higher, surface temperature and star
Significant difference between upper brightness temperature, conversion accuracy between radiance and brightness temperature based on Taylor Expansion method compared with
Difference, transformed error are more than 0.2K.The relation that the present invention is directly established between two Detection Using Thermal Infrared Channel radiances, it is general instead of establishing
The bright gram of relation between radiance and brightness temperature, the conversion accuracy between two passage radiances is improved, is established
Relation between surface temperature and two Detection Using Thermal Infrared Channel radiances, propose a Split window algorithms (letter based on radiance
Claim RBSWA), and it is applied to MODIS data Surface Temperature Retrievals.
The content of the invention
The present invention proposes one and splits window Surface Temperature Retrieval method based on radiance, it is possible to achieve MODIS data
Surface Temperature Retrieval, method are as follows：
Wherein B31(TS)=A0L31-A1L31+A2(formula 1)
In formula, TSRepresent surface temperature, B31(TS) expression temperature is TSBlack matrix corresponding to the wave bands of MODIS 31 radiation it is bright
Degree, K31,1And K31,2The thermal infrared radiation constant (can be obtained from metadata) of the wave bands of MODIS 31, L are represented respectively31And L32Point
Biao Shi not radiance, A on the star of the wave bands of MODIS 31 and 320、A1And A2Window coefficient is split in expression, and calculation formula is as follows：
In formula, k (L31) and b (L31) represent to convert related parameter, C between two Detection Using Thermal Infrared Channel radiances31、C32、
D31And D32Represent intermediate variable.k(L31) and b (L31) calculation formula is as follows：
In formula, K32,1And K32,2The thermal infrared radiation constant (can be obtained from metadata) of the wave bands of MODIS 32 is represented respectively.
C31、C32、D31And D32Calculation formula is as follows：
C31=ε31τ31
C32=ε32τ32
In formula, ε31And ε32The Land surface emissivity of the wave bands of MODIS 31 and 32, τ are represented respectively31And τ32Represent respectively
The air effective transmissivity of the wave bands of MODIS 31 and 32,WithThe up spoke of air of the wave bands of MODIS 31 and 32 is represented respectively
Penetrate the ratio with Downward atmospheric long-wave radiation.τ31、τ32、WithCalculation formula it is as follows：
τ31(θ)=1- (0.088373w+0.04424)/cos (θ)
τ32(θ)=1- (0.096298w+0.118442)/cos (θ)
W represents Water Vapor Content in formula.Split window algorithms proposed by the present invention based on radiance need 5 input ginsengs
Amount, including L31、L32、ε31、ε32And w.
Embodiment
1st, radiance on star is calculated, radiance L on star31And L32It can be calibrated to obtain via radiation by image DN value；
2nd, Land surface emissivity, Land surface emissivity ε are calculated31And ε32Can use NDVI threshold methods [Sobrino, J.A.,
Jiménez-J.C.,Sòria,G.,Romaguera,M.,Guanter,L.,Moreno,J.,Plaza,A.,&Martí
nez,P.(2008).Land surface emissivity retrieval from different VNIR and TIR
Sensors.IEEE Transactions on Geoscience and Remote Sensing, 46,316-327], Huo Zheqi
Its method [Li, Z.-L., Wu, H., Wang, N., Qiu, S., Sobrino, J.A., Wan, Z., Tang, B.-H., ＆Yan, G.
(2013b).Land surface emissivity retrieval from satellite data.International
Journal of Remote Sensing, 34,3084-3127] it is calculated；
3rd, Water Vapor Content is calculated, Water Vapor Content w can use ratio method [A new approach for
retrieving precipitable water from ATSR2split-window channel data over land
Area.International Journal of Remote Sensing, 24,5095-5117] obtained from near-infrared data inversion
Arrive, can also with based on NDVI split window covariance and Variance ratio method (SWCVR) [Wang, M., He, G., Zhang, Z., Wang,
G.,&Long,T.(2015).NDVI-based split-window algorithm for precipitable water
vapour retrieval from Landsat-8TIRS data over land area.Remote Sensing
Letters, 6,904-913] obtained from Thermal Infrared Data inverting；
4th, surface temperature is calculated, surface temperature is calculated (such as using the Split window algorithms proposed by the present invention based on radiance
Formula 1).
5th, arithmetic accuracy is assessed.Calculated based on simulated data sets evaluation RBSWA model accuracy, and with two classical windows of splitting
Method contrasts (Split window algorithms of the proposition such as Qin, abbreviation SWAQ[Qin,Z.,Dall'Olmo,G.,Karnieli,A.,&
Berliner,P.(2001b).Derivation of split window algorithm and its sensitivity
analysis for retrieving land surface temperature from NOAA‐advanced very high
resolution radiometer data.Journal of Geophysical Research:Atmospheres(1984–
2012),106,22655-22670]；The Split window algorithms that Sobrino et al. is proposed, abbreviation SWAS[Sobrino,J.,&
Raissouni,N.(2000).Toward remote sensing methods for land cover dynamic
monitoring:application to Morocco.International Journal of Remote Sensing,21,
353-366]).The ε that analogue data is concentrated31,ε32,L31,L32, the input of θ and w as Split window algorithms, then compare Split window algorithms
The LST that the LST that inverting obtains concentrates with analogue data.Arithmetic accuracy assessment result such as table 1, show to calculate with the window of splitting that two classical
Method contrasts, and RBSWA Surface Temperature Retrieval precision improves about 0.5K.
The different Split window algorithms Surface Temperature Retrieval ratios of precision of table 1 compared with
Claims (1)
1. one is split window Surface Temperature Retrieval algorithm based on radiance, it is characterized in radiance on star directly as calculation
The input of method；Step is：
The first step, radiance on star is calculated, radiance L on star31And L32It can be calibrated to obtain via radiation by image DN value；
Second step, calculate Land surface emissivity, Land surface emissivity ε31And ε32Can use NDVI threshold methods [Sobrino, J.A.,
Jiménez-J.C.,Sòria,G.,Romaguera,M.,Guanter,L.,Moreno,J.,Plaza,A.,&Martí
nez,P.(2008).Land surface emissivity retrieval from different VNIR and TIR
Sensors.IEEE Transactions on Geoscience and Remote Sensing, 46,316-327], Huo Zheqi
Its method [Li, Z.-L., Wu, H., Wang, N., Qiu, S., Sobrino, J.A., Wan, Z., Tang, B.-H., ＆Yan, G.
(2013b).Land surface emissivity retrieval from satellite data.International
Journal of Remote Sensing, 34,3084-3127] it is calculated；
3rd step, Water Vapor Content is calculated, Water Vapor Content w can use ratio method [A new approach for
retrieving precipitable water from ATSR2split-window channel data over land
Area.International Journal of Remote Sensing, 24,5095-5117] obtained from near-infrared data inversion
Arrive, can also with based on NDVI split window covariance and Variance ratio method (SWCVR) [Wang, M., He, G., Zhang, Z., Wang,
G.,&Long,T.(2015).NDVI-based split-window algorithm for precipitable water
vapour retrieval from Landsat-8 TIRS data over land area.Remote Sensing
Letters, 6,904-913] obtained from Thermal Infrared Data inverting；
4th step, surface temperature is calculated, surface temperature is calculated (such as using the Split window algorithms proposed by the present invention based on radiance
Formula 1 in specification).
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109297605A (en) * | 2018-10-09 | 2019-02-01 | 北京大学 | A kind of Surface Temperature Retrieval method with Thermal Infrared Data infrared based in |
| CN109596223A (en) * | 2018-12-24 | 2019-04-09 | 中国农业科学院农业资源与农业区划研究所 | A kind of multispectral satellite borne sensor lane device and method of direct inversion surface temperature |
| CN109632106A (en) * | 2019-01-03 | 2019-04-16 | 北京师范大学 | A kind of Remote Sensing temperature angles of product effect correction method |
| CN109887615A (en) * | 2019-01-30 | 2019-06-14 | 北京环境特性研究所 | Surface temperature period diurnal variation analogy method |
| CN114894321A (en) * | 2022-07-13 | 2022-08-12 | 国家卫星气象中心(国家空间天气监测预警中心) | Calibration method of infrared remote sensing instrument, electronic device and computer storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109297605A (en) * | 2018-10-09 | 2019-02-01 | 北京大学 | A kind of Surface Temperature Retrieval method with Thermal Infrared Data infrared based in |
| CN109596223A (en) * | 2018-12-24 | 2019-04-09 | 中国农业科学院农业资源与农业区划研究所 | A kind of multispectral satellite borne sensor lane device and method of direct inversion surface temperature |
| CN109632106A (en) * | 2019-01-03 | 2019-04-16 | 北京师范大学 | A kind of Remote Sensing temperature angles of product effect correction method |
| CN109632106B (en) * | 2019-01-03 | 2020-06-30 | 北京师范大学 | Remote sensing surface temperature product angle effect correction method |
| CN109887615A (en) * | 2019-01-30 | 2019-06-14 | 北京环境特性研究所 | Surface temperature period diurnal variation analogy method |
| CN109887615B (en) * | 2019-01-30 | 2020-12-11 | 北京环境特性研究所 | Earth surface temperature periodic daily change simulation method |
| CN114894321A (en) * | 2022-07-13 | 2022-08-12 | 国家卫星气象中心(国家空间天气监测预警中心) | Calibration method of infrared remote sensing instrument, electronic device and computer storage medium |
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