Remote sensing-based spatial distribution of rice crop production and varieties in Cidahu sub-district, Sukabumi regency
Selvi Lestari (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

Paddy (Oryza Sativa, sp.) is the main food commodity of most Indonesian. Generally, Indonesia has several rice crop varieties, which selectively planted by farmers to increase the value of rice crop production. Recorded in 2019, Cidahu has a relatively high value of paddy rice production of 20,721 tons. One effective way of monitoring rice crops is by utilizing remote sensing technology, both radar and optical imagery. Radar and optical datasets are very potential to be applied in tropical and sub-tropical regions, which are prone to cloud-cover so that the combination of the two complement each other in increasing the accuracy of classification. This study aims to analyze the spatial phenology of paddy, map the distribution patterns of paddy rice varieties, and analyze the spatial patterns of rice crop production using Sentinel-1 and Sentinel-2 imageries in Cidahu sub-district, Sukabumi Regency. The combination of polarization from SAR and vegetation index from optical images are used to determine the planting stages of paddy, which then serves as a guide for the identification of rice varieties. The paddy stages are categorized into land preparation, vegetative, generative, and maturative. The yield from the 3,443 hectares of harvested area is 20,000-21,000 tons per hectare.

Keywords: Spatial distribution, remote sensing, Sentinel imageries, vegetation index

Topic: Environment, Health, and Safety