Data access and data extraction services within the Land Imagery Portal
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Models for scientific exploitation of EO Data - Frascati - October 12th 2012 Presentation of the architecture of the french Land Imagery portal data access
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Data access and data extraction services within the Land Imagery Portal
- 1. Data access and Data extraction Services within the Land Imagery portal Jerome Gasperi @ CNES | HAWG - Models for scientific exploitation of EO Data Frascati, Italy - October 12th, 2012
- 2. Land Imagery Portal Overview Search service Download service What's next Thematic data extraction
- 4. The * PTSC is the future French "Thematic Center for Land Imagery" * temporary name, subject to change when operational
- 5. v0 (end of 2012) Official launch of the portal v1 (2013) additionnal datasets from CNES and partners, SSO integration, etc.
- 7. Metadata are stored within an internal structure including necessary properties to be compliant with INSPIRE and HMA metadata requirement Additional information can be stored beside metadata (e.g. thematic classification) Offers multiple search interface (OpenSearch, CSW ISO - INSPIRE, CSW EO - HMA) Users Registry index OpenSearch Indexes each data providers metadata using dedicated connectors (OpenSearch, CSW CIM or CSW ISO) MUSCATE Kalideos SPOT Archives SPIRIT CNES CSW CIM based on SITOOLS POSTEL CSW ISO OpenSearch PTSC Metacatalog Geoportal catalog v1 IGN GEOSUD catalog GEOSUD v1 Data providers v?
- 8. Metadata are stored within an internal structure including necessary properties to be compliant with INSPIRE and HMA metadata requirement Additional information can be stored beside metadata (e.g. thematic classification) HMA Offers multiple search interface (OpenSearch, CSW ISO - INSPIRE, CSW EO - HMA) Users Registry index OpenSearch Indexes each data providers metadata using dedicated connectors (OpenSearch, CSW CIM or CSW ISO) MUSCATE Kalideos SPOT Archives SPIRIT CNES CSW CIM based on SITOOLS POSTEL CSW ISO OpenSearch INSPIRE PTSC Metacatalog Geoportal catalog v1 IGN GEOSUD catalog GEOSUD v1 Data providers v?
- 9. Metadata are stored within an internal structure including necessary properties to be compliant with INSPIRE and HMA metadata requirement Additional information can be stored beside metadata (e.g. thematic classification) HMA Offers multiple search interface (OpenSearch, CSW ISO - INSPIRE, CSW EO - HMA) Users Registry index OpenSearch Indexes each data providers metadata using dedicated connectors (OpenSearch, CSW CIM or CSW ISO) MUSCATE Kalideos SPOT Archives SPIRIT CNES CSW CIM based on SITOOLS POSTEL CSW ISO INSPIRE V0 OpenSearch PTSC Metacatalog Geoportal catalog v1 IGN GEOSUD catalog GEOSUD v1 Data providers v?
- 10. Metadata are stored within an internal structure including necessary properties to be compliant with INSPIRE and HMA metadata requirement Additional information can be stored beside metadata (e.g. thematic classification) HMA Offers multiple search interface (OpenSearch, CSW ISO - INSPIRE, CSW EO - HMA) V1 Users Registry index OpenSearch Indexes each data providers metadata using dedicated connectors (OpenSearch, CSW CIM or CSW ISO) MUSCATE Kalideos SPOT Archives SPIRIT CNES CSW CIM based on SITOOLS POSTEL CSW ISO INSPIRE V0 OpenSearch PTSC Metacatalog Geoportal catalog v1 IGN GEOSUD catalog GEOSUD v1 Data providers v?
- 11. Download service
- 12. Product download url is embeded within the product metadata returned by the search service
- 13. Two cases : url content mimeType is "text/html" No direct download. The url is opened in another browser tab. User follows the instructions on the corresponding web page to download the product (this is typically the case for a product that required to explicitely sign an NDA before downloading it) otherwise product can be downloaded directly No common downloading format has been decided yet. The products are downloaded as is.
- 14. What's next Thematic data extraction
- 15. Important note - the following slides present a proposal that will be discussed by the PTSC partners to be integrated (or not) within the Land Imagery portal.
- 17. ? How to search within the portal for products that contains coastal cultivated areas ?
- 19. Orthorectified image What we got
- 20. Orthorectified image What we got Characterized image
- 21. This is water This is urban This is forest Orthorectified image What we got Characterized image
- 22. This is water This is urban This is forest Orthorectified image What we got Characterized image What we need
- 23. How to do this ?
- 24. SLACkER SimpLe Automated Characterization of EaRth observation products
- 25. SLACkER uses GLC 2000 classification to perform an automatic and location based characterization of products
- 26. Global Land Cover 2000 World land cover TIFF file ~ 650 Mo 1 km resolution 1 color = 1 thematic class 22 classes
- 27. OpenSearch PTSC Metacatalog Identifier Description Copyright Acquisition date Acquisition angles Thumbnail ... + Footprint 1. Get footprint bounding box 2. Get GLC2000 area 0. Get metadata 3. Process characterization 4. Store results SLACkER
- 28. Processing result example Tag table images within database glc2000 >> Add classification columns >> Processing 10 Crop GLC2000 raster : 24137 6169 156 119 Polygonize extracted raster Process footprint against Global Land Cover Store classification => 40.89% of Deserts (10 + 14 + 19) => 31.89% of Herbaceous (9 + 11 + 12 + 13) => 14.71% of Water (20) => 9.27% of Cultivated (15 + 16 + 17 + 18) => 3.2% of Forests (1 + 2 + 3 + 4 + 5 + 6) ( ( ( ( ( ( ( ( ( ( INPUT : metadata OUTPUT : additional thematics info stored beside the metadata within the Metacatalog 28.65 % of 14 : Sparse Herbaceous or sparse Shrub Cover ) 6.1 % of 18 : Mosaic: Cropland / Shrub or Grass Cover ) 12.24 % of 19 : Bare Areas ) 31.88 % of 12 : Shrub Cover, closed-open, deciduous ) 2.5 % of 3 : Tree Cover, broadleaved, deciduous, open ) 14.71 % of 20 : Water Bodies (natural & artificial) ) 0.13 % of 15 : Regularly flooded Shrub and/or Herbaceous Cover ) 2.81 % of 16 : Cultivated and managed areas ) 0.69 % of 4 : Tree Cover, needle-leaved, evergreen ) 0.21 % of 17 : Mosaic: Cropland / Tree Cover / Other natural vegetation )
- 29. Thematic sliders SPOT cover - 1,300,000 scenes
- 30. Search for coastal cultivated area ?
- 31. Coastal cultivated area Search results (footprints displayed in black over the map)
- 32. costal... ...cultivated area Thematic classification is displayed within the result metadata