Original paper
A physically based algorithm for retrieving land surface temperature under cloudy conditions from AMSR2 passive microwave measurements
Volume: 40, Issue: 5-6, Pages: 1828 - 1843
Published: Aug 22, 2018
Abstract
Satellite remote sensing provides a unique way to measure land surface temperature (LST) at regional and global scales. Algorithms using thermal infrared (TIR) data provide a reliable way to retrieve LST. However, they are limited to clear-sky conditions due to their inability to penetrate clouds. As an alternative for LST retrieval, passive microwave data are much less affected by clouds and water vapour than TIR data. In this study, we...
Paper Details
Title
A physically based algorithm for retrieving land surface temperature under cloudy conditions from AMSR2 passive microwave measurements
Published Date
Aug 22, 2018
Volume
40
Issue
5-6
Pages
1828 - 1843