152 Open source projects that are alternatives of or similar to Dmnet

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

framework for large-scale SAR satellite data processing

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.

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

A curated list of Google Earth Engine resources

QGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery

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

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

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

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

A collection of 300+ examples for using Earth Engine and the geemap Python package

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

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

Search and download Copernicus Sentinel satellite images

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

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

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

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

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

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

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

Deep networks for Earth Observation

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

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

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

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

interactive notebooks from Planet Engineering

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

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

To help quickstart impact work with Satellogic [hyperspectral] data

A repository of custom scripts to be used with Sentinel Hub

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

generate masks from Landsat and MODIS land product QA band

An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.

Python module for hyperspectral image processing

MODIS Assimilation and Processing Engine

Rotational region detection based on Faster-RCNN.

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Open Data Cube analyses continental scale Earth Observation data through time

Remote Sensing for Movement Ecology

python Toolbox for the Evaluation of Soil Moisture Observations

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

使用deeplab_v3模型对遥感图像进行分割

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

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

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

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

trends.earth - measure land change

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

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

GeoWombat: Utilities for geospatial data

An open-source semi-automated processing chain for urban OBIA classification.

Data Preparation for Satellite Machine Learning

Detect container ships in Planet imagery using machine learning

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

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

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

An advanced geospatial data analysis platform

Blazing Fast JavaScript Raster Processing Engine