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
Read MoreTags: Data Labeling, Remote Sensing, Rooftop Detection, Satellite Imagery
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
Read MoreTags: GEE, Google, Remote Sensing, Satellite Imagery
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
Read MoreTags: Agriculture, Data Preparation, Remote Sensing, Satellite Imagery
Omdena successfully combines AI and ML methodologies with open source, low resolution satellite imagery to create actionable solutions for powerful insights. Introduction Every day, millions of images are captured from space by an ever-growing number of satellite
Read MoreTags: AI, Machine Learning, Open Source Data, Satellite Imagery
Crop yield prediction using deep neural networks to increase food security in Senegal, Africa. The case study covers leveraging vegetation indices with land cover satellite images from Google Earth Engine and applying deep learning models combined with ground truth data
Read MoreTags: GEE, LSTM, Neural Networks, Satellite Imagery