Land Surface Temperature Retrieval From Landsat 9 TIRS-2 Data Using Radiance-Based Split-Window Algorithm

Land Surface Temperature Retrieval From Landsat 9 TIRS-2 Data Using Radiance-Based Split-Window Algorithm

The thermal infrared sensor-2 (TIRS-2) carried on Landsat 9 is the newest thermal infrared (TIR) sensor for the Landsat project and provides two adjacent TIR bands, which greatly benefits the land surface temperature (LST) retrieval at high spatial resolution. In this article, a radiance based split...

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Bibliographic Details
Main Authors: Mengmeng Wang, Miao Li, Zhengjia Zhang, Tian Hu, Guojin He, Zhaoming Zhang, Guizhou Wang, Hua Li, Junlei Tan, Xiuguo Liu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Land surface temperature (LST) retrieval
Landsat 9 thermal infrared sensor-2 (TIRS-2) data
radiance-based split window (RBSW) algorithm
split-window covariance-variance ratio (SWCVR) algorithm
Online Access:https://ieeexplore.ieee.org/document/10002323/

Internet

https://ieeexplore.ieee.org/document/10002323/

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