158 Open source projects that are alternatives of or similar to moveVis

Remote Sensing for Movement Ecology

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

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

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

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

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

A PyTorch collection of semantic segmentation tools.

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

A deep learning framework for multi-animal pose tracking.

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

A python tool to perform deep learning experiments on multimodal remote sensing data.

CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.

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

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

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

Earth Observation Data Access Gateway

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

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

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

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

Tools for detecting deforestation and forest degradation

Pan-sharpening in the Earth Engine code editor

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

a deep model that segments water on multispectral images

Yet another repository for developing and benchmarking deep learning-based change detection methods.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

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

Search, download, and preprocess Landsat imagery 🛰️

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

Distributed Scalable Geospatial Data Server

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

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

R package to position animals with solar geolocation archival tags

An interactive GUI for WhiteboxTools in a Jupyter-based environment

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

Forecasting wildfire danger using deep learning.

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.

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

Awesome Spectral Indices in Python.

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.

MODIS Assimilation and Processing Engine

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

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

a deep-learning-based river centerline extraction model

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

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

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

A python package that extends Google Earth Engine.

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

Google Earth Engine side projects and tutorial scripts

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

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

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

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

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

A U-Net for solar panel identification and segmentation

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

trends.earth - measure land change

We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing. SARbian is free for use in research, education or operational work.