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Drought Analysis Using Satellite-Based Data and Spectral Index in Upper Northeastern Thailand
Department of Biology, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand
Department of Physics, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand
Mahasarakham University, Khamriang Sub-District, 44150 Kantarawichai District, Thailand
Final revision date: 2018-08-11
Online publication date: 2019-07-23
Pol. J. Environ. Stud. 2019;28(6):4447–4454
Drought is one of the major natural disasters in Thailand, causing significant damage as it greatly affects farming, mostly in the northeastern region of Thailand. The objective of this study was to present a drought analysis using data from the Terra Modis satellite and spectral index in the upper northeastern study area, approximately 52,504.65 km2. In operation the Standardized Vegetation Index (SVI) was analyzed, based on calculations from the normalized differences vegetation index (NDVI) values Terra Modis satellite to examine the distribution of plants during 2014-2016. The study found that the largest drought area was in the year 2014, representing 93.12% (or 48,892.33 km2), followed by the year 2015 representing 87.02% (or 45,689.54 km2), and the year 2016 representing 86.42% (or 45,374.51 km2), respectively. The three-year SVI analysis results showed that the statistical correlation of rainfall during the same period is high. The results of this study indicated that drought analysis based on data from Terra Modis effectively identified the patterns of drought-prone areas.
Spatiotemporal Variation of Vegetation NDVI and Its Climatic Driving Forces in Global Land Surface
Physiological and Biochemical Response of Transgenic Cotton Plants to Drought Stress
Mild Evidence for Local Adaptation of Solidago canadensis under Different Salinity, Drought, and Abscisic Acid Conditions
Monitoring Effects of Drought on Nitrogen and Phosphorus in Temperate Oak Forests Using Machine Learning Techniques
Temporal and Spatial Variation Characteristics of NDVI and Its Relationship with Environmental Factors in Huangshui River Basin from 2000 to 2018
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