Remote Sensing Based Indices for Drought Monitoring on Paddy Fields. The Case Study of Lower Citarum - Indonesia
Abstract
Droughts have adversely impacted the agriculture production in Indonesia, especially in recent years by decreasing farmer's income. Although drought studies are conducted in Indonesia, it is neccesary to find new indicators that determine the spatial extent, duration, and impact for the agriculture sector so that actions can be taken for a better drought management in the future. The study examined the 2015/2016 drought characteristic by using freely available high resolution remote sensing data (30 m x 30 m). The Standard Precipitation Index (SPI -1, -3, and -6), the Vegetation Health Index (VHI), the Vegetation Condition Index (VCI), and the Temperature Crop Index (TCI) were selected to characterize the 2015/2016 drought event. Moreover, high intensity of cloud cover in the lower Citarum basin is a major problem to conduct a comprehensive drought analysis from remote sensing data. Therefore, the Harmonic Analysis of Time Series (HANTS) algorithm was applied to estimate NDVI dynamics for every day, independent of cloud cover. The results reveal that the 2015/2016 drought is a moderate to severe drought. Further, the 2015/2016 drought event based on SPI was detected from May to October 2015. However, the VHI and TCI indicated that drought occurred from August to October 2015. The VHI and TCI indices indicated that severe drought mainly occurred in Indramayu district follow by Karawang and Subang districts. This study also revealed that VHI and TCI indices with less cloud cover could be suitable to characterize the effects on rice production in Indonesia.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.H51K1442E
- Keywords:
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- 1812 Drought;
- HYDROLOGYDE: 1817 Extreme events;
- HYDROLOGYDE: 1834 Human impacts;
- HYDROLOGYDE: 1843 Land/atmosphere interactions;
- HYDROLOGYDE: 4327 Resilience;
- NATURAL HAZARDSDE: 4328 Risk;
- NATURAL HAZARDSDE: 4928 Global climate models;
- PALEOCEANOGRAPHY