A Temperature Separation Algorithm of Soil and Vegetation Considering Hot-Spot Effect Using Dual-Angle SLSTR and Geostationary-Satellite AHI Data-Reference-Cited by-同舟云学术

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A Temperature Separation Algorithm of Soil and Vegetation Considering Hot-Spot Effect Using Dual-Angle SLSTR and Geostationary-Satellite AHI Data

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Lu Yifan¹,Bian Zunjian¹,Huang Yajun²,Li Hua¹,Xiao Qing¹

Affiliation:

1. Chinese Academy of Sciences,State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,Beijing,China,100101

2. Southwest University,Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station,School of Geographical Sciences,Chongqing,China,400715

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283112.pdf?arnumber=10283112

Reference11 articles.

1. An analytical four-component directional brightness temperature model for crop and forest canopies

2. Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China

3. Analytical parameterization of canopy directional emissivity and directional radiance in the thermal infrared. Application on the retrieval of soil and foliage temperatures using two directional measurements

4. A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives

5. Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

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