Abstract
Drought monitoring is important for the paddy planting planning. Remote sensing is one tool can be used for it. Paddy field monitoring based on the soil moisture gives much knowledge related to the water content in the soil. Soil moisture analysis in this study is using Normalized Different Water Index (NDWI), Linear Soil Moisture (LSM), and Tasseled Cap. Soil moisture change could explain based on calculation results of NDWI, Linear Soil Moisture (LSM), and Tasseled Cap Transformation (TCT). Based on the results has explained that the driest year occurs in 2015 and June 2016 has a higher soil moisture. Comparison with the radar shows that the results of soil moisture analysis with Landsat was effective can be used with results relatively close to the radar results.
Highlights
Indramayu is one district in West Java Province that spread out along to the north coast of Java
Soil moisture change could explain based on calculation results of Normalized Different Water Index (NDWI), Linear Soil Moisture (LSM), and Tasseled Cap Transformation (TCT)
We proposed a new method to estimate soil moisture call as Linear Soil Moisture (LSM)
Summary
Indramayu is one district in West Java Province that spread out along to the north coast of Java. This district often experiences drought (Darojati 2015). Drought is a serious situation of the natural hazard causing the significant loss to crops production, water supplies and livestock (Rojas et al 2011). It expected to increase in frequency and severity due to global warming (Li et al 2015). This becomes one of the problems in order to maintain the rice production to ensure food sufficiency, especially in Indramayu district.
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