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Awesome Sentinel Awesome

A curated list of awesome tools, tutorials and APIs related to data from the Copernicus Sentinel Satellites.

Copernicus logo

Data Access

Data Hubs and National Mirrors

Official datahubs and mirrors by the Copernicus partners and Collaborative Ground Segment members.

Partial Mirrors

Initiatives to integrate specific Sentinel data into existing search and discovery platforms.

Cloud Providers

Providers that host Copernicus Sentinel data and allow you to bring your own code to process it without the need to download the data.

DIAS

Data and Information Access Services (DIAS), funded by the European Commission "providing centralised access to Copernicus data and information, as well as to processing tools"

  • CREODIAS
  • MUNDI
  • ONDA DIAS
    • VM Infrastructure as a Service, with an API for access to hosted Copernicus data
  • sobloo
    • on-demand processing of thematic products with link to other data-sets (i.e. geo-marketing)
  • WEkEO
    • harmonised data access with a REST API, hosted VM options

Tools

Specific to Copernicus Sentinel data discovery, download and processing.

Search & Download

Viewers & Portals

Processing

  • SNAP (Sentinel Application Plattform)
    • (pre-)process any Sentinel data
    • also available as docker
  • ARCSI (Atmospheric and Radiometric Correction of Satellite Imagery)
    • atmospheric correction of Sentinel-2 data
  • Google Earth Engine
    • process the global Sentinel archives directly on Google's servers
  • EOS Processing
    • workflow library for thematic processing of (Sentinel-2) satellite data
  • iCOR
    • atmospheric correction of Sentinel-2 data
    • available as SNAP plugin
  • MAJA (MACCS ATCOR Joint Algorithm)
    • atmospheric correction of Sentinel-2 data using time series
    • used for Theia and Sen2-Agri
  • Sen2-Agri
    • toolbox for processing images for agricultural purposes
    • includes modules for atmospheric correction, monthly syntheses, biophysical variables, crop mask, crop-type classification and an orchestrator
  • s2cloudless
  • Sen2Cor
    • atmospheric correction of Sentinel-2 data
    • basis for L2A data published on Copernicus Open Access Hub
  • sen2r
    • R toolbox to search, download and pre-process Sentinel-2 data
  • ACOLITE
    • atmospheric correction algorithms for aquatic applications of Landsat and Sentinel-2
  • C2RCC
    • atmospheric correction of Sentinel-3 and -2 for coast colour applications
    • included in the SNAP toolbox for Sentinel-3
  • i.sentinel.mask
    • GRASS GIS addon for atmospheric correction of Sentinel-2 including cloud and shadow detection
  • sat-stac-sentinel
    • convert original Sentinel-1 and -2 metadata into STAC items
  • EOReader
    • Opensource Python library reading Sentinel-1, 2, 3, and other optical and SAR sensors - loading and stacking bands in a sensor-agnostic way
  • xsar
    • read Sentinel-1 data into xarray for further processing

Products

Products, datasets and applications generated from Copernicus Sentinel data.

awesome-sentinel's People

Contributors

bheliom avatar brycejohnston avatar j08lue avatar jthetzel avatar kr-stn avatar kylebarron avatar lubojr avatar mikrup avatar neteler avatar oarcher avatar olivierhagolle avatar remi-braun avatar samoylich avatar sbrunato avatar schpidi avatar spatialhast avatar spekulatius avatar valgur avatar vincentsarago avatar

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awesome-sentinel's Issues

add ClearSky Vision under Products, datasets and applications generated from Copernicus Sentinel data.

https://clearsky.vision/

commercial non-composite/non-mosiac cloudless sentinel 2, generated using input from multiple satellites to a deep learning model that learned to remove clouds. outputs sentinel 2 product without clouds.

the output is an as-close-as-possible replica of sentinel 2 products but without clouds and other artifacts. generated every 2nd day in supported areas (currently europe)

Obsolete mirror

Hi, the Italian mirror is not more operative, just FYI. AFAIK there is not an open mirror currently.

THEIA not only over France

Hi Kersten,

THeia's production has been recently extended over different regions, may I suggest to replace this:
"Theia (Sentinel-2) tiles covering France only, athmospherically corrected L2A"

"Theia (Sentinel-2) tiles atmospherically corrected to L2A over selected regions including France, Belgium Burkina-Faso, Tunisia, Morocco..., "
(I also removed an h in atmospherically ;) )

And also:

Regarding the data mirrors, I do not think they are all global.
The French German and British are, but the others, I don't think so.

Anyway, thanks a lot for this useful resource page.
Best regards,
Olivier

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