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Journal Info

Title: Studia Universitatis Vasile Goldis, Seria Stiintele Vietii (Life Sciences Series)
Abbreviated title: Studia Univ. VG, SSV
Publisher: "Vasile Goldis" University Press
Owner: Western University "Vasile Goldis" Arad, Romania
ISSN: 1584-2363
e-ISSN: 1842-7863
ISSN-L: 1584-2363

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Remote Sensing Based Drought Monitoring In The Middle-Part Of Northeast Region Of Thailand Print E-mail
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Article Title: Remote Sensing Based Drought Monitoring In The Middle-Part Of Northeast Region Of Thailand
Authors: Rotjanakusol T., Laosuwan T.
Affiliation: 1Department of Physics, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, 44150, Thailand. 2Space Technology and Geoinformatics Research Unit, Faculty of Science, Mahasarakham University, Mahasarakham, 44150 Thailand.
Abstract: Drought, one of natural phenomena, occurs so often especially in the northeast region of Thailand. Such of this drought affects severely agriculturists’ farming. This study aims to develop drought monitoring of vegetation dynamics using satellite data in a case study conducted in the middle-part of northeast region of Thailand. Steps to study consisted of the MOD13Q1 data which is Normalized Difference Vegetation Index (NDVI) data set derived from MODIS/Terra Satellite during the past 3 years (2014 – 2016) that are analyzed to find a z-score and calculated to obtain Standardized Vegetation Index (SVI). After that, drought classes would be identified. The study results during the past 3 years revealed that the most severe drought occurred in 2014 which estimated to 97.72 percent or the area of 30,707.53 km2. Furthermore, the result of SVI was used to find statistical correlation with rainfall from the rainfall measurement ground station with a simple linear regression model. The study results in the past 3 years indicated that SVI had high level of correlation with rainfall. It interpreted that this study contained reliability as SVI could be used to measure drought in the middle-part of northeast region of Thailand in both spatial and multi-temporal models.
Keywords: Remote sensing, drought monitoring, SVI.
*Correspondence: Teerawong Laosuwan, Department of Physics, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Maha Sarakham, 44150, Thailand, Tel/Fax. +66 4375 4379, email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it