Rooftops Classification and Solar Installation Acceleration using Deep Learning
July 29th, 2021

In this article, we will go through the process of commercial rooftops classification using Deep Learning methods. And accelerate the installation of solar energy in North America, as a part of Omdena’s challenge with EnergyTech startup. A walkthrough in understan

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Using Streamlit Dashboard to Predict Infrastructure Needs in Africa
May 25th, 2021

  African governments are using significant portions of public budgets to finance infrastructure, but that infrastructure often responds to past or current needs, not future needs based on expected changes related to climate change, migration, urbanization, etc. In

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Using GeoSpatial Data Analytics: A Friendly Guide to Folium and Rasterio
April 19th, 2021

  A friendly introduction to remote sensing and how-to guide on handling and visualizing geospatial data using Rasterio and Folium. Applying all code on Uganda, Africa, by using WorldPop data. Authors:  Johnny Lau, Albert Um   Prerequisites ❌ Limited knowle

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Normalized Difference Vegetation Index — You Don’t Always Need Deep Learning for Satellite Imagery
March 21st, 2021

While looking for an ML solution to understand the relationship between climate change and forced displacement in Somalia, Deep Learning turned out to be non-resource-efficient. Instead, we used satellite imagery indices to understand image bands and the different combi

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7 Steps to Build a Quality Satellite Imagery Dataset for Agricultural Applications
March 14th, 2021

So, you have decided to use satellite imagery for agricultural purposes and prepare your own satellite imagery dataset? GREAT! You are in the right place.   By Jayasudan Munsamy, Alexander Epifanov, and Łukasz Murawski         Background This article

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