Integrating Earth Observation and Digital Tools for Agricultural Mapping and Monitoring: The Mozambique Case Study

作者：Claudia Paris, R.A. de By, Robert Ohuru, Mehmet Furkan Çelik, Florian Ellsäßer, Gabriel Tseng, Yawen Zhang, Sosdito Mananze, Lourenço Manuel, Jawoo Koo, Andrew Nelson · 发表于：IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 年份：2026 · DOI：10.1109/jstars.2026.3698556 · 研究领域：Remote Sensing in Agriculture、Geographic Information Systems Studies、Soil and Land Suitability Analysis

Accurate and timely agricultural data are vital in low- and middle-income countries for effective national planning, informed food policy decisions, and progress toward achieving sustainable development goal (SDG) 2 (zero hunger). Annual field surveys are costly, time-consuming, hampered by weak infrastructure, and vulnerable to extreme weather. This article presents the architecture developed in thestatistics from spaceproject, which integrates Earth observation (EO) data, digital tools for field-data collection, and a cloud-based aggregation and visualization platform to propose a cost-effective solution for efficient agricultural monitoring. The workflow was tested in Mozambique and includes: first, an EO-based sampling-frame methodology for heterogeneous agro-landscapes, second, an open-source smartphone application for efficient, geo-referenced field data collection, third, a data-aggregation and visualization system for real-time quality monitoring and national-level dissemination, and fourth, automated methods for EO-based crop type mapping. The project delivered a comprehensive framework for integrating EO and digital technologies into efficient and scalable workflows. High-resolution crop type maps (openly accessible) and statistics were generated for the main crops in three pilot provinces, Gaza, Manica, and Zambezia, for the 2024/25 season.