Hari Pangestu

Jurnal Nya Land Moisture Estimation at Agricultural Land Using MODIS Data Based on NDSI, NDVI, and NDWI Indices Abstract This research is aimed to estimate land moisture condition at agricultural land, especially for paddy field based on MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data with 250 m and 500 m spatial resolution and daily temporal resolution. An index is called Land Moisture Index (LMI) was created from 1st principle component result of NDSI (Normalize Difference Soil Index), NDVI (Normalize Difference Vegetation Index), and NDWI (Normalize Difference Water Index) with equation : LMI = 0.484*NDSI + 0.687*NDVI + 0.542*NDWI There is a high correlation between LMI and soil moisture (LM) for the agricultual land with soil moisture <= 75 %, whereas an increase of LM followed by an increase LMI. Finally, an estimation model has been developed to estimate land moisture condition for the agricultural land with equation : LM = 172.2145*exp (-0.7610