Overview
The Asian Development Bank (ADB), in partnership with the Geoinformatics Center AIT, organized an advanced online training course to build the capacity of Georgia’s GEOSTAT to apply Earth Observation (EO) techniques and open-source tools for crop area estimation. The training focused on integrating ground-truth data with satellite imagery through practical, end-to-end workflows and was conducted online from 26 to 28 November 2025.
The objective of the online training was to build GEOSTAT’s capacity to apply EO techniques and open-source tools for crop area estimation, integrating ground truth data with satellite imagery through practical, end-to-end workflows.
Role of GIC
Mr. Syams Nashrrullah, Senior Research Specialist at the Geoinformatics Center, and Mr. Dwijendra Das, Senior Research Associate, served as Lead Trainers for the online training. Mr. Nashrrullah delivered sessions on “Overview and Getting Started with Open EO” and “Crop Mapping Workflow” during the first two days. His sessions covered an overview of tools and frameworks, an introduction to Google Colab, and data access and exploration. On Day 2, he explained the development of a maize classification model using Earth Observation (EO) data integrated with ground-truth information.
On the final day of the program, Mr. Das conducted training on “Model Optimization and Feature Importance,” where advanced techniques to improve model performance and interpret variable importance were explored. Topics discussed included machine learning model optimization, feature importance, and sensitivity analysis.
Some of the key outcomes of the training were that participants gained an understanding of the principles and workflows for EO-based crop mapping and monitoring, developed practical skills in using OpenEO and Google Colab for data processing, and learned how to access, preprocess, and analyze Sentinel-1 and Sentinel-2 satellite data.
