Search Packages

omnicloudmask

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

dea-tools

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

s2cloudless

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

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.

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.

opensr-model

ESA OpenSR Diffusion model package for Super-Resolution of Senintel-2 Imagery

cubo

On-Demand Earth System Data Cubes (ESDCs) in Python

rindcalc

A Python module for remote sensing index calculations and processing. Mostly used for my experimentation with new concepts and techniques.

pkg-toml-test-2320sharon

Global shoreline mapping tool from satellite imagery

easysnowdata

package for snow science data, providing streamlined access to satellite imagery (Sentinel-1/2, HLS, MODIS, etc), weather station data, climate reanalysis, land cover data, DEMs, and derived snow products as xarray objects.

siac

A sensor invariant Atmospheric Correction (SIAC)

s2mosaic

Python library for making cloud-free Sentinel-2 mosaics

liewa

A collection of all earth related space Images in one script to set as your Desktop background.

eurocropsml

EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.

cyfi

Estimate cyanobacteria density based on Sentinel-2 satellite imagery

sen2venus-pytorch-dataset

Unofficial pytorch dataloader for the Sen2Venµs Super-Resolution dataset.

cdse-client

Python client for Copernicus Data Space Ecosystem (CDSE) - Drop-in replacement for sentinelsat

pysits

Python wrapper for the sits R package

nrt

Near Real Time monitoring of satellite image time-series

gee-acolite

ACOLITE atmospheric correction for Google Earth Engine

region-grow

Creates a new polygon locally given a set of points using a region grow algorithm approach and a satellite image in GeoTIFF format. The polygon output format is ESRI Shapefile

py4envi

Python library/CLI client for sat4envi data

eodal

Earth Observation Data Analysis Library

sat-mapping-cyborg-ai

A package to fetch sentinel 2 Satellite data from Google.