The goal of this nugget is to introduce you to different methods and techniques for detecting and analysing LCLU changes […]
DIDAIhub: Land cover/land use change detection with Google Earth Engine Read More »
This module introduces students to citizen science data for Earth Observation, focusing on handling crowdsourced land cover and land use
DIDAIhub: Citizen Science Data Quality Assessment for Earth Observation Read More »
Learning outcomes include understanding SAR remote sensing technology and using Sentinel 1 SAR images for built-up area mapping.
DIDAIhub: SAR image analysis in GEE Read More »
Classify multispectral satellite images available in different platforms and download and manage the data sets using different open-source tools. You
Resilience Academy: Classifying Sentinel 2 images in SNAP Read More »
Key steps of managing the data using the Sentinel Application Platform (SNAP) this includes installation of SNAP, use of different
Resilience Academy: Basic image processing methods with SNAP Read More »
Key concepts of environmental remote sensing and practical understanding of the importance of Earth observation in the identification, mapping, monitoring,
Resilience Academy: Multispectral satellite images in environmental remote sensing Read More »