An Alternative Method of Remote Sensing and GIS for Assessing Agricultural Drought in Upper Brantas Watershed, Indonesia
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, 2012
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Daftar Isi:
- In Indonesia, drought disasters have been reoccurring more frequently in recent years. The 1997-1998 El Nino had caused the worst drought to Indonesia in the last 50 years and disrupted rice production. Remote sensing (RS) and geographic information systems (GIS) provide good capability to achieve spatially distributed information over wide are coverage and multitemporal data to give sufficient information to anticipate those situations. The study aimed to develop a method using GIS combined with satellite data for monitoring and assessing agricultural drought in Brantas Watershed, Indonesia. The drought factors were determined based on significant factors of drought, i.e. rainfall pattern, irrigation status, ground water capacity, soil drainage, and land cover. Satellite date were used to analyze the characteristics of temporal variations of normalized difference vegetation index (NDVI) against drought factors. Weighting scores were determined by analyzing NDVI character using changes in NDVI and normal line diagram of each factors. The accuracy of drought risk map was evaluated by comparing drought level and NDVI value. The result indicated that expert knowledge analysis of the drought factors showed significant influence on NDVI value. Drought risk and drought status showed a high positive correlation with R2 = 0.85 for NOAA AVHRR, meaning that there is a significant correlation between the two (r = 0.92). The results of this study can be used to determine spatially location of drought-prone areas based on bio-physical factors causes. Therefore, it can be make recommendation for prevention of agricultural drought in the future.