New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs
Land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrieve LST without atmospheric correction and LSE data...
Main Authors: | Huazhong Ren, Jiaji Dong, Rongyuan Liu, Yitong Zheng, Jinxin Guo, Shanshan Chen, Jing Nie, Yan Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-12-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2020.1731619 |
Similar Items
-
Evaluation of Land Surface Temperature Retrieval from Landsat 8/TIRS Images before and after Stray Light Correction Using the SURFRAD Dataset
by: Jinxin Guo, et al.
Published: (2020-03-01) -
Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval
by: Xin Ye, et al.
Published: (2021-09-01) -
Land Surface Temperature Retrieval Based on Thermal Infrared Channel Decomposed Split-Window Algorithm
by: Xin Ye, et al.
Published: (2022-01-01) -
Validation of Sentinel-3 SLSTR Land Surface Temperature Retrieved by the Operational Product and Comparison with Explicitly Emissivity-Dependent Algorithms
by: Lluís Pérez-Planells, et al.
Published: (2021-06-01) -
Cross-Comparison between Sun-Synchronized and Geostationary Satellite-Derived Land Surface Temperature: A Case Study in Hong Kong
by: Ibrahim Ademola Adeniran, et al.
Published: (2022-09-01)