Overview

This publication sets out a reproducible methodology that combines remote sensing and area frame survey methods in An Giang, Viet Nam, with probability-based ground surveys to generate an accurate rice area map, validated against official statistics. The framework provides a scalable model to help national statistical offices and agricultural data producers across Asia and the Pacific improve the accuracy, reliability, and efficiency of crop monitoring. It is hoped that this work will advance the use of satellite-based methodologies for agricultural statistics-enhancing the timeliness, cost-effectiveness, and precision of crop area estimation-and contribute to strengthening evidence-based decision-making and sustainable agricultural development.

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