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Geospatial AI has rapidly grown, with applications ranging from land-cover mapping to disaster damage assessment. However, a historical lack of standards for organizing training data and models has led to fragmented practices. In recent years, multiple initiatives have emerged to improve the FAIR (Findable, Accessible, Interoperable, Reusable) principles in GeoAI by standardizing how datasets and models are described and shared.

Step by Step tutorial to work with Sentinel 1 RADAR image with preprocessing analysis in my case study.The goal of this tutorial is to share my experience and steps I followed when I tried to work with Sentinel-1 Radar Data to findout the displacement caused by the earthquake in Nepal.

Hi , As we all know how much we love Open Source and most of my posts are related to open source , today I am writing the open source alternatives I found and created for the ESRI Story Map . Nowadays story maps are popular specially due to their ease of use and people who love map and would absolutely thrilled to tell a story from it .

I am excited to share that I have started my Master's program in GeoData Science and GeoAI (AI4EO) as part of the Copernicus Masters in Digital Earth. This is a big step for me, and I want to tell you all about it.

In this blog we will talk about how we can process multiband raster and create indices with ease. We will be using sentinel-2 image and create NDVI from the processed h3 cells and visualize the results