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[The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing
Jia-Hua Zhang1, Xin Li, Feng-Mei Yao
1Laboratory for Remote Sensing and Climate Information Sciences, Chinese Academy of Meteorological Sciences, Beijing 100081, China. zhangjh@cams.cma.gov.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|October 21, 2009
Summary
This study reviews methods for retrieving land surface temperature (LST) using thermal infrared and microwave remote sensing. It highlights techniques for accurate LST estimation crucial for environmental monitoring and climate modeling.
Area of Science:
- Earth Observation
- Environmental Monitoring
- Remote Sensing Physics
Context:
- Land surface temperature (LST) is critical for understanding land-atmosphere energy and substance exchange.
- Accurate LST data are vital for applications like drought monitoring, fire detection, hydrology, and climate modeling.
- Remote sensing offers key methodologies for quantifying LST at regional and global scales.
Purpose:
- To comprehensively review existing methods for retrieving LST using thermal infrared (TIR) and microwave remote sensing.
- To discuss the retrieval of land surface emissivity (epsilon) and its importance.
- To introduce passive microwave remote sensing for all-weather LST retrieval.
Summary:
- Methods reviewed include ground-based measurements, mono-window, single-channel, split-window, and multi-channel algorithms for TIR data.
- Land surface emissivity estimation is presented as a crucial factor for LST retrieval accuracy.
- Passive microwave remote sensing techniques are introduced as a solution for LST retrieval under all weather conditions.
Impact:
- Provides a consolidated overview of LST retrieval techniques, aiding researchers in selecting appropriate methods.
- Identifies the strengths and weaknesses of various LST retrieval approaches.
- Highlights advancements in all-weather LST estimation using microwave data, expanding its applicability.
