227 Open source projects that are alternatives of or similar to Digital Elevation Model

Open Data Cube analyses continental scale Earth Observation data through time

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

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

framework for large-scale SAR satellite data processing

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

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

Miami InSAR time-series software in Python

Radar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing

Python module for hyperspectral image processing

Source code of the MapServer project. Please submit pull requests to the 'main' branch.

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

A repository of custom scripts to be used with Sentinel Hub

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

Fiona reads and writes geographic data files

python Toolbox for the Evaluation of Soil Moisture Observations

Search and download Copernicus Sentinel satellite images

Processing and interpolating spatial data with a twist of machine learning

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

Python package for downloading ECMWF reanalysis data and converting it into a time series format.

Python for Atmosphere and Ocean Scientists

generate masks from Landsat and MODIS land product QA band

A collection of 300+ Python examples for using Google Earth Engine in QGIS

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

Detect container ships in Planet imagery using machine learning

List of datasets, codes, and contests related to remote sensing change detection

Blazing Fast JavaScript Raster Processing Engine

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Simple Features for R

A curated list of Google Earth Engine resources

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

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

Python&GAMMA based interfermetry toolbox for single or time-series of InSAR data processing.

Deep networks for Earth Observation

OpenFLUID framework and applications

Optical Flow estimation in pure Python

使用deeplab_v3模型对遥感图像进行分割

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb

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

Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio

Rotational region detection based on Faster-RCNN.

GeoWombat: Utilities for geospatial data

Command-line runner for Google Earth Engine Playground scripts

用Python处理我遇到的气象数据

Node.js bindings for GDAL (Geospatial Data Abstraction Library)

Basic example of using GNU Radio Companion for amateur (ham) radio communications

R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

Natural Earth data in GeoJSON

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

Data Preparation for Satellite Machine Learning

After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.

This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs are updated when the course is in session through the most recent branch. See master version for current class.

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

An advanced geospatial data analysis platform

This is an Emscripten port of GDAL, an open source X/MIT licensed translator library for raster and vector geospatial data formats.

To help quickstart impact work with Satellogic [hyperspectral] data

interactive notebooks from Planet Engineering