![[QA] Climathon 2017](/images/logo/climate_kic.png){kind=logo}
![[QA] Climathon 2017](/images/logo/climatho-logo.png){kind=logo}
The European Commission Copernicus programme aims at producing world’s largest amount of global geospatial environmental information. Data are being generated primarily by dedicated Earth Observation platforms (the Sentinel satellites), numerical models and ground measurements.
Data sets available
For the city challenges during the Climathon 2017, following Copernicus data will be made available:
Satellite data
| Dataset | Coverage | Product description / reference | Data Access |
|---|---|---|---|
| Sentinel 2 true color images | Global , 10 m, 2015-12-04 – present |
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| Sentinel 2 vegetation index | Global , 10 m 2015-12-04 – present |
Meteo-climatological model data
| Dataset | Coverage | Product description / reference | Data Access |
|---|---|---|---|
| Air temperature (2 m height) | Global (0.5x0.5 deg) 6-hourly 1979-01-01 – 2015-12-31 |
https://www.ecmwf.int/en/research/climate-reanalysis/era-interim |
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| precipitation | Global (0.5x0.5 deg) 6-hourly 1979-01-01 – 2015-12-31 |
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| Soil moisture | Global (0.5x0.5 deg) 6-hourly 1979-01-01 – 2015-12-31 |
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| Particulate Matter (PM 10) | Europe (Lat: 70 - 30, Long:-25- 45) (0.042x0.042 deg) hourly 2015-01-01 - 2015-12-31 |
http://atmosphere.copernicus.eu/catalogue/#/ | |
| Particulate Matter PM 2.5 | Europe (Lat: 70 - 30, Long:-25- 45) (0.042x0.042 deg) hourly 2015-01-01 - 2015-12-31 |
Moreover, the following non-Copernicus data will be available as further data sources:
non-Copernicus Satellite data
| Dataset | Coverage | Product description / reference | Data Access |
|---|---|---|---|
| Lansdat 8 true color image | Global, 30 m, 2013-03-26 - present |
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| Landsat 8 vegetation index | Global, 30 m, 2013-03-26 - present |
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| MODIS Land Surface Temperature | Global, 5 km 2000-03-26 - present |
Data access systems
The data can be made accessible via different access systems, which are able to accommodate different kind of users:
Eodataservice: Web-based data visualisation and access platform
This interface is devoted to all (expert and non-expert) users. From this interface the participants can simultaneously visualize the available data (satellite and meteoclimatological data), extract time series on points / areas, extract statistical information (e.g. average temperature or cumulated precipitation of all Julys since 2000 for different points to identify the impact of climate change) and download the data for further analysis (e.g. via GIS tools / Excel); some usage examples is reported here
EO Browser Web-based data visualisation and download platform
This interface is devoted to satellite data users. From this interface the participants can visualize the available optical and SAR multi-spectral imagery (Sentinels, Landsat, MODIS, Envisat MERIS), extract georeferenced imagery for further analysis (e.g. via GIS tools); some usage examples is reported here:
EO Browser
EO Browser playing with Sentinel satellite imagery. Further explaination of EO Browser and Sentinel Playground can be found here:
OGC Web Coverage Service (WCS) for Climate Data
This service provides web-based standardised access to the real data values. Technical data users can integrate data access into their processing script. No data download is required and users can get the data in a format they are most familiar with, e.g. NetCDF, CSV or PNG. An example can be found here: https://nbviewer.jupyter.org/github/OpenDataHack/data_service_catalogue/blob/f55900380101ed32bd9f3142c2c02bf10b4644af/ecmwf_web_coverage_service.ipynb#service-example
Jupyter Notebooks
Jupyter Notebooks are a web-based programming environment that aims more at technical data users with programming skills. The benefits of Jupyter Notebooks are that data access, workflow documentation, code and data visualisation can be combined in one notebooks. This makes it very useful to share and present results, while showing exactly the workflow and data analysis approach.
Statistical API
This service provides web service-based access to time-series of optical and SAR imageryOGC Web Coverage Service (WCS) and Web Mapping Service (WMS) for optical and SAR satellite imagery
This service provides web-based standardised access to the real data values. Technical data users can integrate data access into their processing script. No data download is required and users can get the data in a format they are most familiar with, e.g. NetCDF, CSV or PNG. An example can be found here:
