Abstract
This research aims to assess the spatio-temporal of agriculture drought during dry season (November – April) in Sa Kaeo. The anomaly of normalized difference vegetation index (NDVI) and the anomaly of normalized difference moisture index (NDMI) derived from LANDSAT imagery during dry season in 2001–2002 to 2016–2017 were used to map the drought assessment using amplitude analysis. Function of Mask (Fmask) algorithm and Inverse Distance Weighted (IDW) interpolation were applied to remove the atmospheric noise. The result showed that slight and moderate drought normally occur during dry season, but severe and extreme drought occurred during dry season from late 2001 to early 2002. In addition, drought effect was widely distributed during last five years. The spatial trend of the amplitude value also showed dryer trend in the southern Sa Kaeo, while it showed wetter trend in the northern and northeastern Sa Kaeo, especially in the forest ecosystem. For the environmentalists and ecosystem managers, this research could benefit them as it provides maps related with drought assessment and its spatial distribution, which leads to more effective plans of water management, ecosystem management and mitigation plans of drought during dry season in the Sa Kaeo.
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Na-U-Dom, T., Intacharoen, P., Thodsan, T., Jangkorn, S. (2020). Drought Assessment During Dry Season Derived from LANDSAT Imagery Using Amplitude Analysis in Sa Kaeo, THAILAND. In: Monprapussorn, S., Lin, Z., Sitthi, A., Wetchayont, P. (eds) Geoinformatics for Sustainable Development in Asian Cities. ICGGS 2018. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-33900-5_7
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DOI: https://doi.org/10.1007/978-3-030-33900-5_7
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