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

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

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

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

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

Awesome Spectral Indices in Python.

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

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.

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

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

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

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

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

framework for large-scale SAR satellite data processing

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

An advanced geospatial data analysis platform

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

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

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

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

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

Blazing Fast JavaScript Raster Processing Engine

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

A curated list of Google Earth Engine resources

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

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.

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

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Open Data Cube analyses continental scale Earth Observation data through time

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.

Data Preparation for Satellite Machine Learning

MODIS Assimilation and Processing Engine

使用deeplab_v3模型对遥感图像进行分割

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

Rotational region detection based on Faster-RCNN.

Remote Sensing for Movement Ecology

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

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

interactive notebooks from Planet Engineering

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

GeoWombat: Utilities for geospatial data

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

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

trends.earth - measure land change

Detect container ships in Planet imagery using machine learning

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

A repository of custom scripts to be used with Sentinel Hub

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

[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.

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

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

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

Tools for detecting deforestation and forest degradation

Python module for hyperspectral image processing

To help quickstart impact work with Satellogic [hyperspectral] data

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Search and download Copernicus Sentinel satellite images

Deep networks for Earth Observation

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

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