diff --git a/Data/ComplementaryData/Additional.qmd b/Data/ComplementaryData/Additional.qmd deleted file mode 100644 index 6eb4ce552..000000000 --- a/Data/ComplementaryData/Additional.qmd +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Additional Data -aliases: - - /Data/Additional.html -format: - html: - code-fold: true -execute: - echo: false - output: asis -jupyter: python3 -image: https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_thumbnails/sentinel-1-rtc.png ---- - -```{python} -#| tags: [parameters] - -constellation = "AdditionalComplementaryData" - -``` -Copernicus Data Space Ecosystem provides data that are not associated with any of the Copernicus Services or are generated by third parties. These datasets include Sentinel-1 related products such as RTC (Radiometrically Terrain Corrected), CARD-BS (Terrain-Corrected Backscatter), Orbits; Sentinel-2 based global mosaics; land cover for Europe and Poland (S2GLC) and Digital Elevation Models (COP DEM and SRTM DEM). - -{{< include ../_render_collections.qmd >}} diff --git a/Data/ComplementaryData/CAMS.qmd b/Data/CopernicusServices/CAMS.qmd similarity index 97% rename from Data/ComplementaryData/CAMS.qmd rename to Data/CopernicusServices/CAMS.qmd index d3fa43d37..754a3b195 100644 --- a/Data/ComplementaryData/CAMS.qmd +++ b/Data/CopernicusServices/CAMS.qmd @@ -2,6 +2,7 @@ title: "Copernicus Atmosphere Monitoring Service (CAMS)" aliases: - /Data/CAMS.html + - /Data/ComplementaryData/CAMS.html format: html: code-fold: true diff --git a/Data/ComplementaryData/CEMS.qmd b/Data/CopernicusServices/CEMS.qmd similarity index 93% rename from Data/ComplementaryData/CEMS.qmd rename to Data/CopernicusServices/CEMS.qmd index 4b08ac54e..ab7e0499a 100644 --- a/Data/ComplementaryData/CEMS.qmd +++ b/Data/CopernicusServices/CEMS.qmd @@ -2,6 +2,7 @@ title: "Copernicus Emergency Management Service (CEMS)" aliases: - /Data/CEMS.html + - /Data/ComplementaryData/CEMS.html format: html: code-fold: true diff --git a/Data/Datafunctions/data_availability.py b/Data/Datafunctions/data_availability.py index d414f2820..bb2b92daf 100644 --- a/Data/Datafunctions/data_availability.py +++ b/Data/Datafunctions/data_availability.py @@ -16,7 +16,7 @@ def main(c): "Landsat-7": ComplementaryOffer, "Landsat-8": ComplementaryOffer, "Commercial data": VHROffer, - "AdditionalComplementaryData": Additional, + #"AdditionalComplementaryData": Additional, "CAMS": CAMSOffer, "CLMS_LEGACY": CLMSOffer, "CLMStoCDSE_bio": CLMSOffer, @@ -344,33 +344,33 @@ def SMOSOffer(c): return table ########################## DEFINE FUNCTION TO CREATE DATA AVAILABILITY TABLE FOR ADDITIONAL ######################## -def Additional(c): - - try: - data_offer = len(c['summaries']['DataAvailability']) - t = [] - note = "" - empty_columns = [] # Track empty columns - - for i in range(0, data_offer): - type,status,access,product_type,specific_product,spatial,temporal,product_link,catalogue,footnotes,provider,satellite,resolution,opensearch,odata,Origin = DataFetch(c,i) - t.append([specific_product, spatial, temporal,catalogue]) - note += footnotes - headers = ["Specific Products", "Spatial Extext","Temporal Extent","Catalogue"] - - # Find and remove empty columns - t,headers=removeempty(t,headers) - - table = tabulate(t, headers=headers, tablefmt='html', floatfmt=".4f", stralign="left", numalign="left") - # Set the minimum width of each column to 100 pixels - table = table.replace("", '
') - # call the merge cell function - table=mergecells(table) - table = f"""
{tabletitle}
{table}{note}""" - except Exception: - table = " " - - return table +#def Additional(c): +# +# try: +# data_offer = len(c['summaries']['DataAvailability']) +# t = [] +# note = "" +# empty_columns = [] # Track empty columns +# +# for i in range(0, data_offer): +# type,status,access,product_type,specific_product,spatial,temporal,product_link,catalogue,footnotes,provider,satellite,resolution,opensearch,odata,Origin = DataFetch(c,i) +# t.append([specific_product, spatial, temporal,catalogue]) +# note += footnotes +# headers = ["Specific Products", "Spatial Extext","Temporal Extent","Catalogue"] +# +# # Find and remove empty columns +# t,headers=removeempty(t,headers) +# +# table = tabulate(t, headers=headers, tablefmt='html', floatfmt=".4f", stralign="left", numalign="left") +# # Set the minimum width of each column to 100 pixels +# table = table.replace("
", '
') +# # call the merge cell function +# table=mergecells(table) +# table = f"""
{tabletitle}
{table}{note}""" +# except Exception: +# table = " " +# +# return table ########################## DEFINE FUNCTION TO CREATE DATA AVAILABILITY TABLE FOR CAMS ######################## def CAMSOffer(c): diff --git a/Data/collections.json b/Data/collections.json index 34048cf1c..1e5150f36 100644 --- a/Data/collections.json +++ b/Data/collections.json @@ -1017,7 +1017,7 @@ [ ] } - }, + }, { "id": "SENTINEL2_L3", "title": "Sentinel-2 Level 3 Quarterly Mosaics", @@ -1121,6 +1121,115 @@ } ] } + }, + { + "id":"Sentinel2_worldcover_mosaics", + "title":"Sentinel-2 Level 2A WorldCover Annual Cloudless Mosaics (RGBNIR)", + "description":"This dataset is a complementary product (i.e. data that are generated by CDSE partners but are not associated with any of the Copernicus Services or are not part of Level-1-2-3 Sentinel products). The Sentinel-2 L2A WorldCover Annual composites are global cloud-free analysis ready mosaics at 10m resolution. They are obtained from the yearly Sentinel-2 archives, for the years 2020 and 2021. From the yearly time-series of each band, clouds are masked and the median value is computed.\n\nThe RGBNIR mosaics contain the 10m bands (B04, B03, B02, B08) and are delivered as Cloud Optimized Geotiffs (COGs).", + "constellation": "Sentinel-2", + "sci:citation": "Copernicus Sentinel data 2023", + "keywords": [ + "COPERNICUS", + "ESA", + "Sentinel-2" + ], + "assets": { + "thumbnail": { + "href": "https://viewer.terrascope.be/assets/images/worldcover/s2_radiometry.png", + "type": "image/png", + "roles": [ + "thumbnail" + ], + "title": "WorldCover Sentinel 2 Mosaics" + } + }, + "links": [ + { + "href": "https://esa-worldcover.org/en", + "title": "User guide", + "rel": "about" + }, + { + "href": "https://link.dataspace.copernicus.eu/xvs", + "title": "CDSE Data-Browser", + "rel": "browser" + } + ], + "summaries": { + "DataAvailability": + [ + { + "Spatial": "World", + "Temporal":"2020 - 2021" + } + ] + } + }, + { + "id":"Sentinel2_mosaics", + "title":"Sentinel-2 Mosaics", + "description":"This dataset is a complementary product (i.e. data that are generated by CDSE partners but are not associated with any of the Copernicus Services or are not part of Level-1-2-3 Sentinel products). Sentinel-2 L2A 120m mosaic is a derived product, which contains best pixel values for 10-daily periods, modeled by removing the cloudy pixels and then performing interpolation among remaining values.", + "constellation": "Sentinel-2", + "sci:citation": "Copernicus Sentinel data 2023", + "keywords": [ + "COPERNICUS", + "ESA", + "Sentinel-2" + ], + "links": [ + { + "href":"https://catalogue.dataspace.copernicus.eu/resto/api/collections/Sentinel2/search.json?productType=Mosaics", + "rel":"opensearch" + } + ], + "summaries": { + "DataAvailability": + [ + { + "Spatial": "World", + "Temporal":"2019 - 2020" + } + ] + } + }, + { + "id":"Sentinel2_SGLC", + "title":"Sentinel-2 GLC (S2GLC)", + "description":"This dataset is a complementary product (i.e. data that are generated by CDSE partners but are not associated with any of the Copernicus Services or are not part of Level-1-2-3 Sentinel products). The Sentinel-2 Global Land Cover (S2GLC) provides high resolution Poland (2019-2021) and Europe (2017) land cover map based on Sentinel-2 imagery.", + "constellation": "Sentinel-2", + "sci:citation": "Copernicus Sentinel data 2023", + "keywords": [ + "COPERNICUS", + "ESA", + "Orthoimagery", + "Sentinel-2" + ], + "links": [ + { + "href": "https://s2glc.cbk.waw.pl/", + "title": "User guide", + "rel": "about" + }, + { + "href":"https://catalogue.dataspace.copernicus.eu/resto/api/collections/S2GLC/search.json?", + "rel":"opensearch" + } + ], + "summaries": { + "DataAvailability": + [ + { + "SpecificProduct":"Europe", + "Spatial": "Europe", + "Temporal":"2017" + }, + { + "SpecificProduct":"Poland", + "Spatial": "Poland", + "Temporal":"2019 - 2021" + } + ] + } }, { "id": "POD_SENTINEL2", @@ -6795,155 +6904,11 @@ ] } }, - { - "id":"Sentinel2_worldcover_mosaics", - "title":"Sentinel-2 Level 2A WorldCover Annual Cloudless Mosaics (RGBNIR)", - "description":"The Sentinel-2 L2A WorldCover Annual composites are global cloud-free analysis ready mosaics at 10m resolution. They are obtained from the yearly Sentinel-2 archives, for the years 2020 and 2021. From the yearly time-series of each band, clouds are masked and the median value is computed.\n\nThe RGBNIR mosaics contain the 10m bands (B04, B03, B02, B08) and are delivered as Cloud Optimized Geotiffs (COGs).", - "constellation": "AdditionalComplementaryData", - "assets": { - "thumbnail": { - "href": "https://viewer.terrascope.be/assets/images/worldcover/s2_radiometry.png", - "type": "image/png", - "roles": [ - "thumbnail" - ], - "title": "WorldCover Sentinel 2 Mosaics" - } - }, - "links": [ - { - "href": "https://esa-worldcover.org/en", - "title": "User guide", - "rel": "about" - }, - { - "href": "https://link.dataspace.copernicus.eu/xvs", - "title": "CDSE Data-Browser", - "rel": "browser" - } - ], - "summaries": { - "DataAvailability": - [ - { - "Spatial": "World", - "Temporal":"2020 - 2021" - } - ] - } - }, - { - "id":"Sentinel2_mosaics", - "title":"Sentinel-2 Mosaics", - "description":"Sentinel-2 L2A 120m mosaic is a derived product, which contains best pixel values for 10-daily periods, modeled by removing the cloudy pixels and then performing interpolation among remaining values.", - "constellation": "AdditionalComplementaryData", - "links": [ - { - "href":"https://catalogue.dataspace.copernicus.eu/resto/api/collections/Sentinel2/search.json?productType=Mosaics", - "rel":"opensearch" - } - ], - "summaries": { - "DataAvailability": - [ - { - "Spatial": "World", - "Temporal":"2019 - 2020" - } - ] - } - }, - { - "id":"Sentinel2_SGLC", - "title":"Sentinel-2 GLC (S2GLC)", - "description":"The Sentinel-2 Global Land Cover (S2GLC) provides high resolution Poland (2019-2021) and Europe (2017) land cover map based on Sentinel-2 imagery.", - "constellation": "AdditionalComplementaryData", - "links": [ - { - "href": "https://s2glc.cbk.waw.pl/", - "title": "User guide", - "rel": "about" - }, - { - "href":"https://catalogue.dataspace.copernicus.eu/resto/api/collections/S2GLC/search.json?", - "rel":"opensearch" - } - ], - "summaries": { - "DataAvailability": - [ - { - "SpecificProduct":"Europe", - "Spatial": "Europe", - "Temporal":"2017" - }, - { - "SpecificProduct":"Poland", - "Spatial": "Poland", - "Temporal":"2019 - 2021" - } - ] - } - }, - { - "id":"COP_DEM", - "title":"Copernicus Digital Elevation Model (COP DEM) Global", - "description":"Two kinds of product are provided GLO-30, GLO-90. GLO-30 offers global coverage at a resolution of 30 metres and GLO-90 offers global coverage at a resolution of 90 metres. Users must register to gain access and access rights depend on the user category, see [Copernicus Contributing Missions User Categories](https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/ccm-user-categories){target='_blank'} for more information.", - "constellation": "AdditionalComplementaryData", - "links": [ - { - "href": "https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/collections-description/COP-DEM", - "title": "User guide", - "rel": "about" - }, - { - "href":"https://catalogue.dataspace.copernicus.eu/resto/api/collections/COP-DEM/search.json?", - "rel":"opensearch" - } - ], - "summaries": { - "DataAvailability": - [ - { - "SpecificProduct":"COP_DEM, COP_DEM_COG ", - "Spatial": "World", - "Temporal":"" - } - ] - } - }, - { - "id":"COP_DEM_EEA", - "title":"Copernicus Digital Elevation Model (COP DEM) Europe", - "description":"EEA-10 offers coverage on Europe at a resolution of 10 metres. Users must register to gain access and access rights depend on the user category, see [Copernicus Contributing Missions User Categories](https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/ccm-user-categories){target='_blank'} for more information.", - "constellation": "AdditionalComplementaryData", - "links": [ - { - "href": "https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/collections-description/COP-DEM", - "title": "User guide", - "rel": "about" - }, - { - "href":"https://catalogue.dataspace.copernicus.eu/resto/api/collections/CCM/search.json?", - "rel":"opensearch" - } - ], - "summaries": { - "DataAvailability": - [ - { - "SpecificProduct":"SAR_DGE_10_9319, SAR_INS_10_52C5 ", - "Spatial": "Europe", - "Temporal":"" - } - ] - } - }, { "id":"SRTM_DEM", "title":"Shuttle Radar Topography Mission DEM (SRTM DEM)", "description":"The Shuttle Radar Topography Mission (SRTM) aimed to obtain elevation data on a near-global scale in order to generate the complete and high-resolution digital topographic database of Earth.", - "constellation": "AdditionalComplementaryData", + "constellation": "SRTM", "links": [ { "href": "https://lpdaac.usgs.gov/products/srtmgl1v003/", diff --git a/_quarto.yml b/_quarto.yml index d335ee1bb..eb4d011da 100644 --- a/_quarto.yml +++ b/_quarto.yml @@ -65,9 +65,13 @@ website: contents: - href: Data/CopernicusServices/CLMS.qmd text: "Copernicus Land Monitoring Service (CLMS)" + - href: Data/CopernicusServices/CEMS.qmd + text: "Copernicus Emergency Management Service (CEMS)" + - href: Data/CopernicusServices/CAMS.qmd + text: "Copernicus Atmosphere Monitoring Service (CAMS)" - href: Data/Others/CCM.qmd text: "Copernicus Contributing Missions" - - section: "Complementary data" + - section: "Complementary Satellite data" contents: - href: Data/ComplementaryData/SMOS.qmd text: "Soil Moisture and Ocean Salinity (SMOS)" @@ -81,12 +85,8 @@ website: text: "Landsat-8" #- href: Data/ComplementaryData/CMEMS.qmd Removal reason: https://dataspace.copernicus.eu/news/2025-8-8-upcoming-removal-cmems-products-eodata-bucket # text: "Copernicus Marine Service (CMEMS)" - - href: Data/ComplementaryData/CEMS.qmd - text: "Copernicus Emergency Management Service (CEMS)" - - href: Data/ComplementaryData/CAMS.qmd - text: "Copernicus Atmosphere Monitoring Service (CAMS)" - - href: Data/ComplementaryData/Additional.qmd - text: "Additional Complementary Data" + #- href: Data/ComplementaryData/Additional.qmd + # text: "Additional Complementary Data" # - href: Data/VHR.qmd # text: "VHR Commercial Data" - section: "APIs"