Geographic Information System application and MDCM methodology combined with the Fuzzy Analytic Network process (FANP) to build the drought-sensitive map of Ninh Thuan province.
November 2022
Conference: Gis And Remote Sensing Applications For Environment And Resource

Management At: University of Science, Viet Nam National University - Ho Chi Minh city

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Authors:

Nguyen Hoang Tuan
Hoa Sen University
T.T. Canh
Ho Chi Minh City University of Science

Abstract
The goal is to research and identify drought-sensitive points in the Ninh Thuan area by combining the Fuzzy Analytic Network Process (FANP) and GIS with the precipitation, temperature, and vegetation indices. To study temperature index and vegetation, the author uses remote sensing image data for the period 2006 -2016 from the United States Geological Survey (USGS) on the image background of Landsat 5 and 8. Based on input data, the study has built maps of the Rainfall Anomaly Index (RAI), Standard Precipitation Index (SPI), Water supply vegetation index (WSVI), Vegetation Health Index (VHI), Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and Normalized difference water index (NDWI). Through the FANP model, the research has ranked the indicators from 1 to 8 by the supper matrix. The results show that the weights of the indicates are calculated based on the FANP matrix as follows: WSVI is 19.5%, VHI is 16.3%, VCI is 15.4%, SAVI is 13.8%, NDVI is 12.2%, NDWI is 10.3%, SPI 6.9%, and RAI is 5.6%. Based on ranking, the study has been successfully built and identified areas with drought sensitivity according to 5 levels, from no drought to extreme drought. Research results are the basis for using multiple-criteria decision-making (MCDM) in drought research and related fields.

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