178 Open source projects that are alternatives of or similar to cars

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

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

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

A python package that extends Google Earth Engine.

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

a deep-learning-based river centerline extraction model

The STARFM fusion model for Python

Forecasting wildfire danger using deep learning.

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

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

deck.gl layers and WebGL modules for client-side satellite imagery analysis

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

Educational Resources on Neural Networks for Ecology and Remote Sensing

Earth Observation Data Access Gateway

ArcGIS Python Toolbox for WhiteboxTools

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

List of Camera Calibration Tools + Patterns

Ava Capture is a distributed system to control and record several cameras from a central UI. This system would typically be used for a photogrammetry or 4D capture rig based on Ximea cameras.

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.

Google Earth Engine side projects and tutorial scripts

Satellite image time series in R

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

Google Earth Engine land-use change tutorial for SCBI

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Global shoreline mapping tool from satellite imagery

A python library for geo-spatial processing and machine learning

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

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

An interactive GUI for WhiteboxTools in a Jupyter-based environment

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

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

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

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

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

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

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Platform for crowdsourcing the digital recreation of lost heritage

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

Pan-sharpening in the Earth Engine code editor

Open source remote sensing analysis tool

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

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

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

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

A PyTorch collection of semantic segmentation tools.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

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

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

Hyperspectral image processing library

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

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

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

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

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

Search, download, and preprocess Landsat imagery 🛰️

Distributed Scalable Geospatial Data Server

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

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.