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: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/22/5049 |
id |
doaj-f3cd9e06d0e04d74a96fe24b8d339b0b |
---|---|
record_format |
Article |
spelling |
doaj-f3cd9e06d0e04d74a96fe24b8d339b0b2020-11-25T02:34:44ZengMDPI AGSensors1424-82202019-11-011922504910.3390/s19225049s19225049Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 ImagesLei Wang0Yao Lu1Yunlong Yao2College of Wildlife Resources, Northeast Forestry University, Harbin 150040, ChinaCollege of Architectural Engineering, Heilongjiang University of Science and Technology, Harbin 150022, ChinaCollege of Wildlife Resources, Northeast Forestry University, Harbin 150040, ChinaThe 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 algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) method to extract the LST from the Landsat 8 image and compared the three algorithms in terms of input parameters, accuracy, and sensitivity. The results show that all three algorithms can achieve good results in retrieving the LST. The SWA is the least sensitive to the error of the input parameters. The MWA and the SC method are sensitive to the error of the input parameters, and compared with the error of the LSE, these two algorithms are more sensitive to the error of atmospheric water vapor content. In addition, the MWA is also very sensitive to the error of the effective mean atmospheric temperature.https://www.mdpi.com/1424-8220/19/22/5049landsat 8 tir dataland surface temperaturemono-window algorithmsplit window algorithmsingle-channel methodsensitivity analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Wang Yao Lu Yunlong Yao |
spellingShingle |
Lei Wang Yao Lu Yunlong Yao Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images Sensors landsat 8 tir data land surface temperature mono-window algorithm split window algorithm single-channel method sensitivity analysis |
author_facet |
Lei Wang Yao Lu Yunlong Yao |
author_sort |
Lei Wang |
title |
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images |
title_short |
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images |
title_full |
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images |
title_fullStr |
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images |
title_full_unstemmed |
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images |
title_sort |
comparison of three algorithms for the retrieval of land surface temperature from landsat 8 images |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-11-01 |
description |
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 algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) method to extract the LST from the Landsat 8 image and compared the three algorithms in terms of input parameters, accuracy, and sensitivity. The results show that all three algorithms can achieve good results in retrieving the LST. The SWA is the least sensitive to the error of the input parameters. The MWA and the SC method are sensitive to the error of the input parameters, and compared with the error of the LSE, these two algorithms are more sensitive to the error of atmospheric water vapor content. In addition, the MWA is also very sensitive to the error of the effective mean atmospheric temperature. |
topic |
landsat 8 tir data land surface temperature mono-window algorithm split window algorithm single-channel method sensitivity analysis |
url |
https://www.mdpi.com/1424-8220/19/22/5049 |
work_keys_str_mv |
AT leiwang comparisonofthreealgorithmsfortheretrievaloflandsurfacetemperaturefromlandsat8images AT yaolu comparisonofthreealgorithmsfortheretrievaloflandsurfacetemperaturefromlandsat8images AT yunlongyao comparisonofthreealgorithmsfortheretrievaloflandsurfacetemperaturefromlandsat8images |
_version_ |
1724806852163665920 |