A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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Updated
May 27, 2024 - Python
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Automated download of LANDSAT data from USGS website
Search and download Landsat scenes from EarthExplorer.
Satellite image time series in R
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
Land Surface Temperature from Landsat on Google Earth Engine
a deep model that segments water on multispectral images
Earth Observation Data Access Gateway
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
Very simple API to download Landsat [1-5, 7, 8] data from Google
Satellite image processing pipeline to classify land-cover and land-use
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
A serverless Landsat tiles server using AWS Lambda
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
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