Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images
The successful launch of the Landsat 8 satellite provides important data for the monitoring of urban heat island effects. Since the Landsat 8 TIRS data has two thermal infrared bands, it is suitable for many algorithms to retrieve the land surface temperature (LST). However, the selection of algorit...
Main Authors: | Lei Wang, Yao Lu, Yunlong Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/22/5049 |
Similar Items
-
An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data
by: Fei Wang, et al.
Published: (2015-04-01) -
A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China
by: Yue Jiang, et al.
Published: (2021-05-01) -
Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method
by: Xiaolei Yu, et al.
Published: (2014-10-01) -
A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data
by: Chen Du, et al.
Published: (2015-01-01) -
Towards an Operational, Split Window-Derived Surface Temperature Product for the Thermal Infrared Sensors Onboard Landsat 8 and 9
by: Aaron Gerace, et al.
Published: (2020-01-01)