Komparasi NDVI dan ARVI Citra Sentinel 2 dalam Estimasi Produktivitas Padi Organik (Studi Kasus: Lahan Pertanian GAPOKTAN Mahameru Kecamatan Candipuro, Kabupaten Lumajang)

Abstract

The absence of remote sensing technology in calculating the estimation of organic paddy production hinders the effective utilization of organic paddy fields in Candipuro District, Lumajang Regency. This study aims to apply and determine the suitability of remote sensing technology, specifically using Sentinel-2 satellite imagery, along with the transformation of the NDVI (Normalized Difference Vegetation Index) and ARVI (Atmospherically Resistant Vegetation Index) indices to calculate the estimated organic paddy production in Candipuro District, Lumajang Regency. The research included land survey activities in areas identified as having high production during two harvest periods. The methodology encompassed collecting and recording harvest data for two periods, capturing Sentinel-2 images, processing data, and assessing accuracy. Harvest data were gathered through field surveys conducted at the field and the local agricultural department. Satellite imageries were obtained through the https://scihub.copernicus.eu/ page. Data processing was performed using ArcGIS 10.3 software, and accuracy testing was conducted using the Root Mean Square Error (RMSE) equation. The results of the accuracy test indicate that the estimation of organic paddy production in Candipuro District, Lumajang Regency, can be successfully carried out using Sentinel-2 satellite imagery, as evidenced by the obtained good results.