Spatial distribution analysis of rice crop productivity using remote sensing approach in Nagrak Sub-district, Sukabumi Regency Yani Rahmanida(a), Iqbal Putut Ash Shidiq(a*), Rokhmatuloh Rokhmatuloh(a), and Supriatna Supriatna(a)
a) Department of Geography, Faculty of Mathematics and Natural Sciences, University of Indonesia, 16424, Jawa Barat, Indonesia
*iqbalputut[at]sci.ui.ac.id
Abstract
Rice is a commodity of rice-producing food crops that plays a vital role in the Indonesian economy. For anticipating increased food needs, accurate information about the amount of harvest becomes very important. Information on the number of harvests, one of which can be known by estimating rice productivity. Rice productivity estimation can be monitored by remote sensing. This study used a remote sensing approach by employing satellite imagery from Sentinel-2A sensors to generate vegetation index. This study used NDVI (Normalized Difference Vegetation Index) to determines the age of rice plants and estimate rice productivity. The purpose of this study is to analyze the rice productivity and the spatial distribution of rice crop productivity in the Nagrak Sub-district, Sukabumi Regency. The results of this study is Sentinel 2-A and algorithm could provide rice productivity estimation and know the range of the largest rice productivity is 5.815 to 7.00 tons per hectare, which is widely spread at an altitude of 500-1000 meter above sea level and at a slope of 8 to 15 percent, and at a distance of 0 - 150 meters from the river.
Keywords: Rice crop productivity- remote sensing- NDVI- spatial distribution
