Application of geo-informatics technology to study vegetation index and humidity: A case study of drought in the special economic Eastern region of Thailand

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Published: Jul 15, 2020
Keywords:
Geo-informatics technology Drought Normalized differential vegetation Index Normalized difference water index Enhanced vegetation Index

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Pholgerddee, P.
Faculty of Geoinformatics, Burapha University, Thailand

Abstract

Result showed the different changes in vegetation indicating the spatial-temporal pattern of drought. These factors represented the plant index (NDVI), humidity difference index (NDWI), and plant image index (EVI) values of spatial-temporal pattern image that being high values. It referred to the different areas among  various vegetation covering. The NDVI and EVI showed a greater degree of NDWI that provided the difference in combination of vegetation covering and water contents. Finally, the map of severity for classifying the drought in the spatial-temporal pattern was performed. The spatial-temporal pattern of drought can be implied from the NDVI NDWI and EVI instead of using the meteorological data in case of inadequate coverage of climatic data.

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How to Cite
Pholgerddee, P. (2020). Application of geo-informatics technology to study vegetation index and humidity: A case study of drought in the special economic Eastern region of Thailand. International Journal of Agricultural Technology, 16(4), 917–936. retrieved from https://li04.tci-thaijo.org/index.php/IJAT/article/view/7236
Issue
Vol. 16 No. 4 (2020): July
Section
Original Study
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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