awesome-spectral-indicesA ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Stars: ✭ 357 (+659.57%)
deck.gl-rasterdeck.gl layers and WebGL modules for client-side satellite imagery analysis
Stars: ✭ 60 (+27.66%)
pylandtempAlgorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Stars: ✭ 110 (+134.04%)
Julia GeospatialExamples for a blog series on Geospatial Julia using ArchGDAL
Stars: ✭ 58 (+23.4%)
xarray-sentinelXarray backend to Copernicus Sentinel-1 satellite data products
Stars: ✭ 189 (+302.13%)
wxeeA Python interface between Earth Engine and xarray for processing time series data
Stars: ✭ 113 (+140.43%)
geoblazeBlazing Fast JavaScript Raster Processing Engine
Stars: ✭ 80 (+70.21%)
eemontA python package that extends Google Earth Engine.
Stars: ✭ 290 (+517.02%)
ModistspAn "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Stars: ✭ 118 (+151.06%)
starfm4pyThe STARFM fusion model for Python
Stars: ✭ 86 (+82.98%)
arcsiSoftware to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
Stars: ✭ 22 (-53.19%)
irisSemi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Stars: ✭ 87 (+85.11%)
waterqualityPackage designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
Stars: ✭ 31 (-34.04%)
eodagEarth Observation Data Access Gateway
Stars: ✭ 183 (+289.36%)
shipsnet-detectorDetect container ships in Planet imagery using machine learning
Stars: ✭ 30 (-36.17%)
Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Stars: ✭ 261 (+455.32%)
S2pSatellite Stereo Pipeline
Stars: ✭ 136 (+189.36%)
Notebooksinteractive notebooks from Planet Engineering
Stars: ✭ 339 (+621.28%)
Geetools Code EditorA set of tools to use in Google Earth Engine Code Editor (JavaScript)
Stars: ✭ 157 (+234.04%)
Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Stars: ✭ 20 (-57.45%)
open-impactTo help quickstart impact work with Satellogic [hyperspectral] data
Stars: ✭ 21 (-55.32%)
Landsat578Very simple API to download Landsat [1-5, 7, 8] data from Google
Stars: ✭ 54 (+14.89%)
biodivMapRbiodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
Stars: ✭ 18 (-61.7%)
Geotiff.ioStatic website for viewing and analyzing GeoTIFF's in the browser
Stars: ✭ 53 (+12.77%)
SentinelsatSearch and download Copernicus Sentinel satellite images
Stars: ✭ 576 (+1125.53%)
Label MakerData Preparation for Satellite Machine Learning
Stars: ✭ 377 (+702.13%)
geowombatGeoWombat: Utilities for geospatial data
Stars: ✭ 34 (-27.66%)
Python GeospatialA collection of Python packages for geospatial analysis with binder-ready notebook examples
Stars: ✭ 187 (+297.87%)
modapeMODIS Assimilation and Processing Engine
Stars: ✭ 19 (-59.57%)
Imagery-AppsExample JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.
Stars: ✭ 24 (-48.94%)
Datacube CoreOpen Data Cube analyses continental scale Earth Observation data through time
Stars: ✭ 285 (+506.38%)
sitsSatellite image time series in R
Stars: ✭ 342 (+627.66%)
aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Stars: ✭ 134 (+185.11%)
dea-coastlinesExtracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Stars: ✭ 24 (-48.94%)
s5p-toolsPython scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Stars: ✭ 49 (+4.26%)
MintpyMiami InSAR time-series software in Python
Stars: ✭ 195 (+314.89%)
ww tvol studyProcess global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
Stars: ✭ 26 (-44.68%)
SIAC GEESIAC GEE version
Stars: ✭ 41 (-12.77%)
PSTCRQ. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.
Stars: ✭ 43 (-8.51%)
rsgislibRemote Sensing and GIS Software Library; python module tools for processing spatial data.
Stars: ✭ 103 (+119.15%)
AutoTSAutomated Time Series Forecasting
Stars: ✭ 665 (+1314.89%)
PyrateA Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.
Stars: ✭ 110 (+134.04%)
3D-PV-LocatorRepo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
Stars: ✭ 35 (-25.53%)
torchgeoTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Stars: ✭ 1,125 (+2293.62%)
sentinel-utilA CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data
Stars: ✭ 22 (-53.19%)
spyndexAwesome Spectral Indices in Python.
Stars: ✭ 56 (+19.15%)
pytorch-psetaePyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Stars: ✭ 117 (+148.94%)
luftdatenpumpeProcess live and historical data from luftdaten.info, IRCELINE and OpenAQ. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into timeseries and RDBMS databases, publish to MQTT, output as JSON or visualize in Grafana.
Stars: ✭ 22 (-53.19%)
ChangeFormerOfficial PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
Stars: ✭ 220 (+368.09%)
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 (-23.4%)