310 Open source projects that are alternatives of or similar to deck.gl-raster

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

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

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

Earth Observation Data Access Gateway

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

Search, download, and preprocess Landsat imagery 🛰️

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

Blazing Fast JavaScript Raster Processing Engine

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

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

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

Xarray backend to Copernicus Sentinel-1 satellite data products

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

Google Earth Engine side projects and tutorial scripts

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

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

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Detect container ships in Planet imagery using machine learning

Search and download Copernicus Sentinel satellite images

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

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

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

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

Satellite Stereo Pipeline

Pan-sharpening in the Earth Engine code editor

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

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

To help quickstart impact work with Satellogic [hyperspectral] data

Awesome Spectral Indices in Python.

Data Preparation for Satellite Machine Learning

interactive notebooks from Planet Engineering

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

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

🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

A Curated List of Python Resources for Earth Sciences

Core OSSIM (Open Source Software Image Map) package including C++ code for OSSIM library, command-line applications, tests, and build system

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

Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.

Forecasting wildfire danger using deep learning.

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

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

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

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

MODIS Assimilation and Processing Engine

🛰️ Python library and CLI tools for processing geospatial imagery for ML

A Python interface to the 6S Radiative Transfer Model

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

GeoWombat: Utilities for geospatial data

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

Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery

📡 Receive images from weather satellite Himawari-8 via HimawariCast.

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

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

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

a deep model that segments water on multispectral images

Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.