Estimation Rice Productivity Based on Vegetation Index Algorithm of Modis MOD13A1 Satellite (Case Study of Lengayang, Kabupaten Pesisir Selatan, SUMBAR-Indonesia)

Abstract

Agriculture decision-making is increasingly being based on remote sensing technology. Crop productivity estimation was one application for satellite imagery technology. With each phenology of plant growth, the importance of satellite wave reflection and absorption produces a varied outcome. This study’s objective was to calculate rice productivity for Lengayang District in Pesisir Selatan Regency using satellite imagery. Pre-processing data, analyzing vegetation indexes until an extraction is made, and then creating a working map for field observation and validation are the processes that makeup data processing. The research was divided into numerous phases, beginning with the gathering of data, processing, observation, and data analysis. Cultivation season (CS) I began in February, CS II began in June, and CS III began in September, according to the examination of NDVI data in the Lengayang District over the course of some years. The equation 2916x4 − 8117x3 + 8180.2x2 − 3562.7x + 574.52 can be used to estimate productivity using the NDVI value technique in the Lengayang District. The results of the model reliability test were categorized as being quite satisfactory.