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Billions of people in the world depend on rice as a staple food and as an income-generating crop. Asia is the leader in rice cultivationand it is necessary to maintain an up-to-date rice-related database to ensure food security as well as economic development. Thisstudy investigates general applicability of high temporal resolution Moderate Resolution Imaging Spectroradiometer (MODIS) 250mgridded vegetation product for monitoring rice crop growth, mapping rice crop acreage and analyzing crop yield, at the province-level.The MODIS 250m Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) time series data, field dataand crop calendar information were utilized in this research in Sa Kaeo Province, Thailand. The following methodology was used:(1) data pre-processing and rice plant growth analysis using Vegetation Indices (VI) (2) extraction of rice acreage and start-of-seasondates from VI time series data (3) accuracy assessment, and (4) yield analysis with MODIS VI. The results show a direct relationshipbetween rice plant height and MODIS VI. The crop calendar information and the smoothed NDVI time series with Whittaker Smoothergave high rice acreage estimation (with 86% area accuracy and 75% classification accuracy). Point level yield analysis showed thatthe MODIS EVI is highly correlated with rice yield and yield prediction using maximum EVI in the rice cycle predicted yield with anaverage prediction error 4.2%. This study shows the immense potential of MODIS gridded vegetation product for keeping an up-to-dateGeographic Information System of rice cultivation

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Rice Crop Monitoring and Yield Assessment with MODIS 250m Gridded Vegetation Products: A Case Study of Sa Kaeo Province, Thailand