84 Open source projects that are alternatives of or similar to Stac Spec

Global Forest Watch: An online, global, near-real time forest monitoring tool

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

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

A simple yet highly configurable bot that tweets geotagged aerial imagery of a random location in the world.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Satellite Stereo Pipeline

Decode satellite signals on Raspberry PI or any other 64-bit intel.

Satellite imagery for dummies.

Ground mobile data collection app for Android

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Resources for deep learning with satellite & aerial imagery

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

Static website for viewing and analyzing GeoTIFF's in the browser

📡 Receive images from weather satellite GEO-KOMPSAT-2A (GK-2A).

Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel

Implementation of different techniques to find insights from the satellite data using Python.

Search and download Copernicus Sentinel satellite images

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Interactive interface for browsing global, full-resolution satellite imagery

Download and process satellite imagery in Python using Sentinel Hub services.

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!