Using GeoSpatial Data Analytics: A Friendly Guide to Estimate Population
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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Modeling Economic Well-being through AI, Satellite Imagery, and Census Data
November 16th, 2020

This article is written by Harshita Chopra along with collaborators Arpan Mishra, Precioso Gabrillo, and Raghunath Pal.   Economic well-being is a broad concept that goes beyond statistical metrics. When you plan on moving to another place, do you primarily check c

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AI for Malaria Prevention: Identifying Water Bodies Through Satellite Imagery
October 28th, 2020

By Tanmay Laud   Combining satellite images, topography data, population density and other data sources to build an algorithm that identifies the areas in which stagnant water bodies (malaria mosquito breeding sites) likely exist. The model helps to identify breedi

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