180 Open source projects that are alternatives of or similar to massive-change-detection

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

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

QGIS Connector for Speckle 2.0

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

Plotting and manipulating mesh data in QGIS.

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

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.

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

Satellite Image Classification using semantic segmentation methods in deep learning

A python library for geo-spatial processing and machine learning

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

The back-end of cross-modal retrieval system，wihch will contain services such as semantic location .etc

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

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

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

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

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

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

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

a plugin for displaying and extracting information from Mapillary street level imagery with QGIS (3.0)

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

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

The STARFM fusion model for Python

Open source remote sensing analysis tool

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

A collection of Earth Engine Apps created using geemap, voila, and heroku

Alerts you via email about a website change.

This program gets your external, & internal, IP addresses, checks them against your "saved" IP addresses and, if a difference is found, emails you the new IP(s). This is useful for servers at residential locations whose IP address may change periodically due to actions by the ISP.

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

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

An interactive GUI for WhiteboxTools in a Jupyter-based environment

Satellite image time series in R

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

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Forecasting wildfire danger using deep learning.

Google Earth Engine land-use change tutorial for SCBI

Extensión GIS para impresión 3D de MDE

QGIS MapTiler Plugin: vector tiles, basemaps, geocoding, OSM, QuickMapServices

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

Isogeo plugin for QGIS

Tools for detecting deforestation and forest degradation

Plugin for QGIS to connect to the HERE XYZ Hub API

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.

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

Urban change model designed to identify changes across 2 timestamps

a deep-learning-based river centerline extraction model

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

Home to the QGis Profiletool plugin. Initial work on this fork was partially funded by the C.A. La Rioja

A collection of Python packages for geospatial analysis with binder-ready notebook examples

Change detection with a simple Python script to email you whenever a website changes.

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

Github action to verify file changes that occur during the workflow execution.

Automated download of LANDSAT data from USGS website

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

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

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

Remote Sensing for Movement Ecology

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

Angular Profiler for Ivy, debugging and visualization tools

An ORM friendly mapper. Allows saving entire entity graphs. Heavily inspired in GraphDiff and AutoMapper.