This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"

Sensor Independent Cloud and Shadow Masking with Ambiguous Labels and Multimodal Inputs

The Clay Foundation Model - An open source AI model and interface for Earth

Expandable Datasets for Earth Observation

SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

Buteo - Geospatial Analysis Meets AI

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A series of Jupyter notebook to learn Google Earth Engine with Python

Earth Observation dataset preprocessing tools for Deep Learning

S2 full image prediction

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Manipulation and analysis of geometric objects

High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

SciPy library main repository

Temporary landing page for cloudFCN, please star the repository for notification of when the cloudFCN source code is released.

Satsense is a Python library for land use/cover classification using satellite imagery

ACRONYM (Acronym CReatiON for You and Me)

Cartopy - a cartographic python library with matplotlib support

The most cited deep learning papers