A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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Updated
May 25, 2024 - Python
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A ninja python package that unifies the Google Earth Engine ecosystem.
Satellite image time series in R
Earth Observation Data Access Gateway
An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The mapping extension for CoastSat and Zoo.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Pipeline for remotely sensed imagery. The pipeline processes satellite imagery alongside auxiliary data in multiple steps to arrive at a set of trend files related to land-cover changes.
Awesome Spectral Indices in Julia
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
A list of all the scale and offset parameters for each raster dataset in Google Earth Engine.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Search, composite, and download Google Earth Engine imagery.
On-Demand Earth System Data Cubes (ESDCs) in Python
A pure Julia package for querying and downloading Landsat data.
Generating intertidal elevation, exposure and extents from satellite earth observation data and ocean tide modelling
Laboratórios didáticos de Geoprocessamento - Poli-USP
Atmospheric correction processor for high spatial resolution multispectral satellite images
A simple CLI interface to generate urls for Landsat Collection 2 Level 1 product bundles and download them
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
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