ARCO ERA5 atmospheric reanalysis provides hourly estimates of a large number of atmospheric, land, and oceanic climate variables, spanning from 1979 to the present.
Training-data
- The Replicable AI for Microplanning (RAMP) project is an open-source deep learning model that accurately digitizes buildings in low- and middle-income countries using satellite imagery.
- This repository provides code for training and evaluating a convolutional neural network (CNN) to detect tree in urban environments with aerial imagery.
- Radiant Earth has released LandCoverNet, which will enable the creation of high-resolution and up-to-date maps for natural resource management.
- The AiTLAS toolbox includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready earth observation datasets.
- This article analyses the Airbus oil storage dataset which contains over 13,500 annotated POL (petroleum, oil and lubricant) storage objects. This dataset is used to train an oil storage detector.
- This is a single class dataset consisting of tiles of satellite imagery labeled with potential 'targets' to help with search and rescue.
- LEVIR-Ship is the first public tiny ship detection dataset specific to medium-resolution remote sensing images. Check it out here.
- Determine the location of a given street view image by matching it against a collection of geo-tagged satellite images. Read more about it here.
- Check here for a dual stream U-Net architecture method for urban change detection using Sentinel-1 and Sentinel-2 data fusion.
