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42 search results found

Techniques ⭐ 7,678

Techniques for deep learning with satellite & aerial imagery

Awesome Satellite Imagery Datasets ⭐ 3,381

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

Torchgeo ⭐ 2,067

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

Felicette ⭐ 1,751

Satellite imagery for dummies.

Awesome Earthobservation Code ⭐ 936

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

Stac Spec ⭐ 685

SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

Satellite image time series in R

Dea Notebooks ⭐ 399

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

Datasets ⭐ 367

Datasets for deep learning with satellite & aerial imagery

Instancesegmentation_sentinel2 ⭐ 300

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

Earth Observation Data Access Gateway

Eoreader ⭐ 240

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Awesome_satellite_benchmark_datasets ⭐ 231

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

Python Resources For Earth Sciences ⭐ 231

A Curated List of Python Resources for Earth Sciences

Xarray Sentinel ⭐ 210

Xarray backend to Copernicus Sentinel-1 satellite data products

Worldstrat ⭐ 197

The WorldStrat Dataset

Satellite_imagery_python ⭐ 126

Sample sample scripts and notebooks on processing satellite imagery

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

Scikit Eo ⭐ 83

A Python package for Remote Sensing Data Analysis

Search, composite, and download Google Earth Engine imagery.

Julia_geospatial ⭐ 62

Examples for a blog series on Geospatial Julia using ArchGDAL

Crop Type Detection Iclr 2020 ⭐ 62

Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020

Deck.gl Raster ⭐ 61

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

Deep Learning For Earth Observation ⭐ 56

Application of deep learning for earth observation.

Sat Extractor ⭐ 52

Extract Satellite Imagery from public constellations at scale

Start_maja ⭐ 48

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

Dea Coastlines ⭐ 47

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

Segmentation_gym ⭐ 39

A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler

Geospatial Cosicorr3d ⭐ 37

Tools and libraries for processing satellite images (push-broom, frame and push-frame), including rigorous sensor model (RSM) refinement, rational function model (RFM) refinement, orthorectification, sub-pixel image correlation, and 3D surface displacement extraction.

Unmixing ⭐ 37

Interactive tools for spectral mixture analysis of multispectral raster data in Python

Sen2nbar ⭐ 37

Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python

Search Satellite Imagery ⭐ 36

Search satellite Imagery Archive on aggregators like UP42, skywatch, EOS via their respective APIs

Eoxserver ⭐ 36

EOxServer is a Python application and framework for presenting Earth Observation (EO) data and metadata.

Downscale Satellitelst ⭐ 35

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

Geetiles ⭐ 29

download Google Earth Engine datasets to tiles as geotiff arrays

Sentinel 5p ⭐ 16

Sentinel5P_Python

Eodag Labextension ⭐ 15

Jupyterlab extension for EODAG search

Satsense ⭐ 10

Satsense is a Python library for land use/cover classification using satellite imagery

Framework for the analysis of n-dimensional, multivariate Earth Observation data

Planetscope_preprocessing ⭐ 6

Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using Python packages as rasterio and fiona.

Examples And Showcases ⭐ 6

Integration examples and showcase of <geosys/>platform capabilities.

Floating Marine Debris Data ⭐ 6

This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.

Process geospatial imagery with ease

Related Searches

Python Satellite Imagery (243)

Jupyter Notebook Satellite Imagery (139)

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