ProjectPythia / eo-datascience-cookbookLinks
Earth Observation Data Science Cookbook provides training material centered around Earth Observation data while honoring the Pangeo Philosophy. The examples used in the notebooks represent some of the main research lines of the Remote Sensing Unit at the Department of Geodesy and Geoinformation at the TU Wien (Austria).
β18Updated this week
Alternatives and similar repositories for eo-datascience-cookbook
Users that are interested in eo-datascience-cookbook are comparing it to the libraries listed below
Sorting:
- Resources for the GRSS IADF School 2023: Label-efficient Deep Learning in Remote Sensingβ12Updated 2 years ago
- An ecosystem of data, models and code pipelines to tackle flooding with MLπβ177Updated 6 months ago
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.β61Updated this week
- Xarray backend to Copernicus Sentinel-1 satellite data productsβ236Updated 3 months ago
- On-Demand Earth System Data Cubes (ESDCs) in Pythonβ198Updated 9 months ago
- PlotToSat can extract time-series from Sentinel-1 and Sentinel-2 at multiple to thousands of plots (circular regions)β33Updated 4 months ago
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.β133Updated last week
- Scikit-learn applied to mapping and spatial predictionβ53Updated last week
- Earth Observation Data Analysis Libraryβ99Updated 10 months ago
- A Python package for Remote Sensing Data Analysisβ126Updated last year
- A Python interface between Earth Engine and xarray for processing time series dataβ214Updated 5 months ago
- Sample Jupyter notebooks for EOdalβ40Updated 2 years ago
- This repository contains the classification module of the WorldCereal system.β81Updated this week
- Evapotranspiration (ET) models for use in python and with integration into Google Earth Engineβ66Updated 3 months ago
- β40Updated 4 months ago
- Google Earth Engine Feature Collections via Dask Dataframesβ67Updated last month
- Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.β78Updated 4 years ago
- β60Updated last year
- The π data science library you've been waiting for~β85Updated last year
- This is the official repository for the online course 'Cubes & Clouds'β44Updated last week
- A Python package for simple STAC queriesβ68Updated 3 years ago
- Earth observation framework for scaled-up processing in Pythonβ45Updated 4 months ago
- The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating addβ¦β97Updated 9 months ago
- π°οΈ List of earth observation companies and job sitesβ165Updated last year
- Analysis of georeferenced rasters, vectors and point cloudsβ122Updated last week
- Hydro -- A Foundation Model for Water in Satellite Imageryβ58Updated last year
- Python client API for OpenEOβ198Updated this week
- Sentinel-1 & Sentinel-2 data cubes at large scale (bigger-than-memory) on any machine with integrated cloud detection, snow masking, harmβ¦β131Updated 2 months ago
- Lexcube: 3D Data Cube Visualization in Jupyter Notebooksβ174Updated 7 months ago
- A Jupyter notebook exploring data coverage, size, and customization service availability along with direct data download utilizing the NSβ¦β63Updated 3 weeks ago