Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/10/4/616/pdf
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improving the combined use of reflectance and thermal channels for ocean and coastal cloud detection for the Sea and Land Surface Temperature Radiometer (SLSTR);Remote Sensing of Environment;2023-05
2. A stepwise framework for interpolating land surface temperature under cloudy conditions based on the solar-cloud-satellite geometry;ISPRS Journal of Photogrammetry and Remote Sensing;2023-03
3. A Physical-Based Method for Pixel-by-Pixel Quantifying Uncertainty of Land Surface Temperature Retrieval From Satellite Thermal Infrared Data Using the Generalized Split-Window Algorithm;IEEE Transactions on Geoscience and Remote Sensing;2023
4. The contributions of different variables to elevation-dependent land surface temperature changes over the Tibetan Plateau and surrounding regions;Global and Planetary Change;2023-01
5. Evaluation of the Bias in the Use of Clear-Sky Compared with All-Sky Observations of Monthly and Annual Daytime Land Surface Temperature;Journal of Applied Meteorology and Climatology;2022-10
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