INTERNATIONAL JOURNAL OF AGRICULTURAL TECHNOLOGY

Volume 16, No. 04, Month JULY, Year 2020, Pages 917 - 936

Application of geo-informatics technology to study vegetation index and humidity: a case study of drought in the special economic eastern region of thailand

Pholgerddee, P.

Abstract Download PDF

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.

Keywords

Geo-informatics technology, Drought, Normalized differential vegetation Index, Normalized difference water index, Enhanced vegetation Index

---