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
Applying AI on satellite images for improving road safety. We used pre-trained CNNs, VGG, ResNet, and Inception models to count vehicles on roads and analyze traffic flow to help save many lives. By Lois Anne Leal and Chaitree Sham Baradkar The Why At nigh
Read MoreTags: CNNs, ResNet, Satellite Imagery, VGG