gesjGEOGRAPHY, ENVIRONMENT, SUSTAINABILITYGEOGRAPHY, ENVIRONMENT, SUSTAINABILITY2071-93882542-1565Russian Geographical Society10.24057/2071-9388-2018-06gesj-665Research ArticleRESEARCH PAPERСтатьиLand Surface Temperature Dynamics In Dry Season 2015-2016 According To Landsat 8 Data In The South-East Region of VietnamNguyenQ. Kh.

Quang Khanh Nguyen

Hanoi

TrinhLe H.

Le Hung Trinh

trinhlehung125@gmail.comDaoKh. H.

Khanh Hoai Dao

DangN. D.

Nhu Duan Dang

Hanoi

Hanoi University of Mining and Geology, North Tuliem DistrictViet NamLe Quy Don Technical University, Hoang Quoc Viet StreetViet NamVietnam Institute of Geodesy and Cartography, Hoang Quoc Viet StreetViet Nam2019280320191217587Copyright © Nguyen Q.K., Trinh L.H., Dao K.H., Dang N.D., 20192019Nguyen Q.K., Trinh L.H., Dao K.H., Dang N.D.Nguyen Q.K., Trinh L.H., Dao K.H., Dang N.D.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ges.rgo.ru/jour/article/view/665

Located in Southeast Asia, Vietnam is one of the most severely affected countries by climate change and faces to series of challenges related to climate change, in which droughts are one of the most serious natural disasters. Land surface temperature (LST) is important factor in evaluating soil moisture and drought phenomenon. Remote sensing technique with many advantages, compared with traditional methods, can be used effectively for retrieving LST. This article presents study on the application of LANDSAT 8 multi - temporal data for monitoring LST changes in dry season 2015 - 2016 in Loc Ninh district, Binh Phuoc province in Southeast region of Vietnam. LST was derived using Split-Window (SW) algorithm. The results showed that the LST at the end of 2015 - 2016 dry seasons (in February and March) is much higher than at the early of dry season. The area with LST higher than 309 K increases very fast in dry season 2015 - 2016, from less than 1% of the total study area in November and December to 19.59% in February and 30.74% in March. The results obtained in this study can be used to create the LST distribution map and to monitor drought phenomenon.

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The authors declare that there are no conflicts of interest present.