Correction for LST directionality impact on the estimation of surface upwelling longwave radiation over vegetated surfaces at the satellite scale-Reference-Cited by-同舟云学术

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Correction for LST directionality impact on the estimation of surface upwelling longwave radiation over vegetated surfaces at the satellite scale

Published:2023-09 Issue: Volume:295 Page:113649
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Hu Tian,Roujean Jean-Louis,Cao Biao,Mallick Kaniska,Boulet Gilles,Li Hua,Xu Zhihong,Du Yongming,Liu Qinhuo

Funder

National Natural Science Foundation of China

State Key Laboratory of Remote Sensing Science

Luxembourg Institute of Science and Technology

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference62 articles.

1. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation;Anderson;J.Geophys.Res.Atmos.,2007

2. A semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices;Bian;ISPRS J. Photogramm. Remote Sens.,2020

3. Evaluation of four kernel-driven models in the thermal infrared band;Cao;IEEE Trans. Geosci. Remote Sens.,2019

4. A review of earth surface thermal radiation directionality observing and modeling: historical development, current status and perspectives;Cao;Remote Sens. Environ.,2019

5. A general framework of kernel-driven modeling in the thermal infrared domain;Cao;Remote Sens. Environ.,2021

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