433 Open source projects that are alternatives of or similar to dea-coastlines

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Satellite image time series in R

Earth Observation Data Access Gateway

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

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Satellite Stereo Pipeline

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

This is an collection of blog posts turned into a course format

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Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

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🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Awesome Spectral Indices in Python.

Data Preparation for Satellite Machine Learning

An advanced geospatial data analysis platform

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Satellite imagery for dummies.

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

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Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

A ninja python package that unifies the Google Earth Engine ecosystem.

Xarray backend to Copernicus Sentinel-1 satellite data products

A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data

Examples for a blog series on Geospatial Julia using ArchGDAL

Detect container ships in Planet imagery using machine learning

Blazing Fast JavaScript Raster Processing Engine

interactive notebooks from Planet Engineering

To help quickstart impact work with Satellogic [hyperspectral] data

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

Search and download Copernicus Sentinel satellite images

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

Very simple API to download Landsat [1-5, 7, 8] data from Google

A curated list of Google Earth Engine resources

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Display GeoTIFFs and soon other types of raster on your Leaflet Map

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

A Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.

An open source framework for deep learning on satellite and aerial imagery.

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

WhiteboxTools Python Frontend

Satellite image processing pipeline to classify land-cover and land-use

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

Road and Building Segmentation in Satellite Imagery

A collection of Earth Engine Apps created using geemap, voila, and heroku

deck.gl layers and WebGL modules for client-side satellite imagery analysis

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

Distributed Scalable Geospatial Data Server

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

A python package that extends Google Earth Engine.

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Google Earth Engine side projects and tutorial scripts

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

geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).

An interactive GUI for WhiteboxTools in a Jupyter-based environment

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

R Interface for OGC Web-Services (OWS)

Fast and easy webmapping.