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Monitoring Land Surface Temperature Change with Landsat Images during Dry Seasons in Bac Binh, Vietnam

Dang, Thanhtung and Yue, Peng and Bachofer, Felix and Wang, Michael and Zhang, Mingda (2020) Monitoring Land Surface Temperature Change with Landsat Images during Dry Seasons in Bac Binh, Vietnam. Remote Sensing, 12 (4067), pp. 1-21. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs12244067. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/12/24/4067

Abstract

Global warming-induced climate change evolved to be one of the most important research topics in Earth System Sciences, where remote sensing-based methods have shown great potential for detecting spatial temperature changes. This study utilized a time series of Landsat images to investigate the Land Surface Temperature (LST) of dry seasons between 1989 and 2019 in the Bac Binh district, Binh Thuan province, Vietnam. Our study aims to monitor LST change, and its relationship to land-cover change during the last 30 years. The results for the study area show that the share of Green Vegetation coverage has decreased rapidly for the dry season in recent years. The area covered by vegetation shrank between 1989 and 2019 by 29.44%. Our findings show that the LST increase and decrease trend is clearly related to the change of the main land-cover classes, namely Bare Land and Green Vegetation. For the same period, we find an average increase of absolute mean LST of 0.03 °C per year for over thirty years across all land-cover classes. For the dry season in 2005, the LST was extraordinarily high and the area with a LST exceeding 40 °C covered 64.10% of the total area. We expect that methodological approach and the findings can be applied to study change in LST, land-cover, and can contribute to climate change monitoring and forecasting of impacts in comparable regions.

Item URL in elib:https://elib.dlr.de/139598/
Document Type:Article
Title:Monitoring Land Surface Temperature Change with Landsat Images during Dry Seasons in Bac Binh, Vietnam
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dang, ThanhtungState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan UniversityUNSPECIFIEDUNSPECIFIED
Yue, PengSchool of Remote Sensing and Information Engineering, Wuhan UniversityUNSPECIFIEDUNSPECIFIED
Bachofer, FelixUNSPECIFIEDhttps://orcid.org/0000-0001-6181-0187UNSPECIFIED
Wang, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, MingdaHubei Province Engineering Center for Intelligent GeoprocessingUNSPECIFIEDUNSPECIFIED
Date:11 December 2020
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI:10.3390/rs12244067
Page Range:pp. 1-21
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:Land surface temperature, dry season, global change, Landsat
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Bachofer, Dr. Felix
Deposited On:23 Dec 2020 11:15
Last Modified:25 Feb 2021 10:57

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