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DIDAIhub: Satellite image classification using ML in Google Earth Engine
News›Remote sensing, Training
Remote sensing, Training21 May 2025

DIDAIhub: Citizen Science Data Quality Assessment for Earth Observation

Msilikale Msilanga

Resilience Academy

Photo: Resilience Academy

This module introduces students to citizen science data for Earth Observation, focusing on handling crowdsourced land cover and land use (LCLU) data samples in the R program. It covers the statistical accuracy assessment of citizen science data and the preparation of Collect Earth Online (CEO) LCLU samples data for satellite image classification.

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