GeoParserExtract and Visualize location from any file
Stars: ✭ 48 (+140%)
community-sprintsThis repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development
Stars: ✭ 18 (-10%)
fdotoolboxA tool for working with various sources of geospatial data
Stars: ✭ 20 (+0%)
aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Stars: ✭ 134 (+570%)
GetspatialdataAn R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Stars: ✭ 227 (+1035%)
earthengine-appsA collection of Earth Engine Apps created using geemap, voila, and heroku
Stars: ✭ 20 (+0%)
3D-PV-LocatorRepo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
Stars: ✭ 35 (+75%)
irisSemi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Stars: ✭ 87 (+335%)
GdalGDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
Stars: ✭ 2,797 (+13885%)
opticksOpen source remote sensing analysis tool
Stars: ✭ 37 (+85%)
open-geo-data-educationOpen Geospatial Datasets for GIS Education: This is a repository of open geospatial datasets to be used in an educational context. I created these files over years of teaching Geographic Data Science and GIS. All original datasets are freely available online with open data licenses (see the dataset attribution for details). All the datasets in t…
Stars: ✭ 52 (+160%)
Land-Cover-Classification-using-Sentinel-2-DatasetApplication of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
Stars: ✭ 36 (+80%)
terrameTerraME is a programming environment for spatial dynamical modelling
Stars: ✭ 33 (+65%)
geospatial-pythonIntroduction to Geospatial Raster and Vector Data with Python
Stars: ✭ 107 (+435%)
CoastsatGlobal shoreline mapping tool from satellite imagery
Stars: ✭ 252 (+1160%)
deep learning ecologyEducational Resources on Neural Networks for Ecology and Remote Sensing
Stars: ✭ 45 (+125%)
MintpyMiami InSAR time-series software in Python
Stars: ✭ 195 (+875%)
Eye In The Sky Satellite Image Classification using semantic segmentation methods in deep learning
Stars: ✭ 185 (+825%)
Angular5 Iot DashboardMultipurpose dashboard admin for IoT softwares, remote control, user interface. Develop your client dashboards in Angular 5 with vast variety of components available.
Stars: ✭ 148 (+640%)
hytoolsHyperspectral image processing library
Stars: ✭ 37 (+85%)
Py6sA Python interface to the 6S Radiative Transfer Model
Stars: ✭ 117 (+485%)
s5p-toolsPython scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Stars: ✭ 49 (+145%)
FelicetteSatellite imagery for dummies.
Stars: ✭ 1,710 (+8450%)
aileen-coreSensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.
Stars: ✭ 15 (-25%)
kartDistributed version-control for geospatial and tabular data
Stars: ✭ 253 (+1165%)
rsgislibRemote Sensing and GIS Software Library; python module tools for processing spatial data.
Stars: ✭ 103 (+415%)
transbigdataA Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
Stars: ✭ 195 (+875%)
waterqualityPackage designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
Stars: ✭ 31 (+55%)
ipwatchThis 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.
Stars: ✭ 38 (+90%)
django-munigeoReusable Django application for storing and accessing municipality-related geospatial data
Stars: ✭ 12 (-40%)
ModistspAn "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Stars: ✭ 118 (+490%)
retrieval-2016-remoteMulti-Label Remote Sensing Image Retrieval By Using Deep Features
Stars: ✭ 14 (-30%)
Change Detection ReviewA 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.
Stars: ✭ 248 (+1140%)
retrievalSystemThe back-end of cross-modal retrieval system,wihch will contain services such as semantic location .etc
Stars: ✭ 64 (+220%)
grass-ciOUTDATED, use https://github.com/OSGeo/grass/ ! Continuous integration for GRASS GIS
Stars: ✭ 27 (+35%)
Python GeospatialA collection of Python packages for geospatial analysis with binder-ready notebook examples
Stars: ✭ 187 (+835%)
awesome-geospatial-listA curated list of geospatial tools, data, tutorials, information, and more
Stars: ✭ 32 (+60%)
Awesome Geospatial Companies🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Stars: ✭ 184 (+820%)
sitsSatellite image time series in R
Stars: ✭ 342 (+1610%)
Landsat DownloadAutomated download of LANDSAT data from USGS website
Stars: ✭ 177 (+785%)
Geetools Code EditorA set of tools to use in Google Earth Engine Code Editor (JavaScript)
Stars: ✭ 157 (+685%)
ScasNetSemantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)
Stars: ✭ 24 (+20%)
S2pSatellite Stereo Pipeline
Stars: ✭ 136 (+580%)
ChangeFormerOfficial PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
Stars: ✭ 220 (+1000%)
ee-land-changeGoogle Earth Engine land-use change tutorial for SCBI
Stars: ✭ 22 (+10%)
deck.gl-rasterdeck.gl layers and WebGL modules for client-side satellite imagery analysis
Stars: ✭ 60 (+200%)
arcsiSoftware to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
Stars: ✭ 22 (+10%)
Bayesian LSPA Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
Stars: ✭ 32 (+60%)
starfm4pyThe STARFM fusion model for Python
Stars: ✭ 86 (+330%)