Determination of optimum viewing angles for the angular normalization of land surface temperature over vegetated surface.
Identifieur interne : 000547 ( Ncbi/Checkpoint ); précédent : 000546; suivant : 000548Determination of optimum viewing angles for the angular normalization of land surface temperature over vegetated surface.
Auteurs : Huazhong Ren [République populaire de Chine] ; Guangjian Yan [République populaire de Chine] ; Rongyuan Liu [République populaire de Chine] ; Zhao-Liang Li [République populaire de Chine] ; Qiming Qin [République populaire de Chine] ; Françoise Nerry [France] ; Qiang Liu [République populaire de Chine]Source :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2015.
Abstract
Multi-angular observation of land surface thermal radiation is considered to be a promising method of performing the angular normalization of land surface temperature (LST) retrieved from remote sensing data. This paper focuses on an investigation of the minimum requirements of viewing angles to perform such normalizations on LST. The normally kernel-driven bi-directional reflectance distribution function (BRDF) is first extended to the thermal infrared (TIR) domain as TIR-BRDF model, and its uncertainty is shown to be less than 0.3 K when used to fit the hemispheric directional thermal radiation. A local optimum three-angle combination is found and verified using the TIR-BRDF model based on two patterns: the single-point pattern and the linear-array pattern. The TIR-BRDF is applied to an airborne multi-angular dataset to retrieve LST at nadir (Te-nadir) from different viewing directions, and the results show that this model can obtain reliable Te-nadir from 3 to 4 directional observations with large angle intervals, thus corresponding to large temperature angular variations. The Te-nadir is generally larger than temperature of the slant direction, with a difference of approximately 0.5~2.0 K for vegetated pixels and up to several Kelvins for non-vegetated pixels. The findings of this paper will facilitate the future development of multi-angular thermal infrared sensors.
DOI: 10.3390/s150407537
PubMed: 25825975
Affiliations:
- France, République populaire de Chine
- Alsace (région administrative), Grand Est, Pékin
- Illkirch, Pékin
- Université de Pékin, Université de Strasbourg
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<front><div type="abstract" xml:lang="en">Multi-angular observation of land surface thermal radiation is considered to be a promising method of performing the angular normalization of land surface temperature (LST) retrieved from remote sensing data. This paper focuses on an investigation of the minimum requirements of viewing angles to perform such normalizations on LST. The normally kernel-driven bi-directional reflectance distribution function (BRDF) is first extended to the thermal infrared (TIR) domain as TIR-BRDF model, and its uncertainty is shown to be less than 0.3 K when used to fit the hemispheric directional thermal radiation. A local optimum three-angle combination is found and verified using the TIR-BRDF model based on two patterns: the single-point pattern and the linear-array pattern. The TIR-BRDF is applied to an airborne multi-angular dataset to retrieve LST at nadir (Te-nadir) from different viewing directions, and the results show that this model can obtain reliable Te-nadir from 3 to 4 directional observations with large angle intervals, thus corresponding to large temperature angular variations. The Te-nadir is generally larger than temperature of the slant direction, with a difference of approximately 0.5~2.0 K for vegetated pixels and up to several Kelvins for non-vegetated pixels. The findings of this paper will facilitate the future development of multi-angular thermal infrared sensors.</div>
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