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Satellite Imagery Python Packages

Python packages with the GitHub topic satellite-imagery. Sorted by monthly downloads, with stars and forks.
sentinel-hub
sentinelhub

Download and process satellite imagery in Python using Sentinel Hub services.

55K 909 254
torchgeo
torchgeo

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

41K 4K 595
r-earthengine
ee-extra

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

32K 68 11
awesome-spectral-indices
spyndex

Awesome Spectral Indices in Python.

22K 254 29
banesullivan
localtileserver

dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

17K 350 31
CS-SI
eodag

Earth Observation Data Access Gateway

16K 437 68
DPIRD-DMA
omnicloudmask

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

16K 199 28
CNES
shareloc

Shareloc, a simple remote sensing geometric library

9K 28 9
sentinelsat
sentinelsat

Search and download Copernicus Sentinel satellite images

9K 1K 245
blaylockbk
goes2go

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

7K 261 44
GeoscienceAustralia
dea-tools

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

6K 540 143
sertit
eoreader

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

5K 350 43
DPIRD-DMA
s2mosaic

Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and state-of-the-art cloud masking via OmniCloudMask.

5K 73 12
davemlz
eemont

A python package that extends Google Earth Engine.

4K 453 75
karolzak
keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

3K 341 109
DPIRD-DMA
omniwatermask

Python library for high-accuracy water segmentation in satellite and aerial imagery, combining deep learning with NDWI and vector data for robust detection across multiple sensors and resolutions.

3K 49 13
Digdgeo
ndvi2gif

Multi-seasonal remote sensing analysis suite: composites, land cover classification, phenology, hydroperiod and SAR processing with Google Earth Engine

3K 46 13
bopen
xarray-sentinel

Xarray backend to Copernicus Sentinel-1 satellite data products

2K 243 27
geovicco-dev
bhoonidhi-downloader

CLI and Python SDK for ISRO's Bhoonidhi (NRSC) portal — search and download satellite imagery / Earth-observation data from Indian and international missions programmatically.

2K 22 2
SharadhNaidu
synapse-sr

SYNAPSE-SR: Sentinel-2 super-resolution from 10 m to 2 m resolution. Physics-consistent deep learning with per-pixel trust maps and calibrated uncertainty. Flash (any CPU) and Pro (Mamba). pip install synapse-sr

2K 5 1
ashnair1
dotadevkit

Toolkit for working with the DOTA aerial object detection dataset

2K 43 3
spatialnode
superstac

Unified search across STAC catalogs.

2K 6 0
ESDS-Leipzig
sen2nbar

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

2K 62 5
DL4EO
oriented-det

Open-source PyTorch framework for oriented and rotated object detection in aerial and satellite images.

2K 16 2
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
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