{ "type": "Feature", "stac_version": "1.1.0", "stac_extensions": [ "https://raw.githubusercontent.com/stac-extensions/processing/refs/heads/main/json-schema/schema.json", "https://raw.githubusercontent.com/stac-extensions/sar/refs/heads/main/json-schema/schema.json", "https://raw.githubusercontent.com/stac-extensions/sat/refs/heads/main/json-schema/schema.json", "https://raw.githubusercontent.com/stac-extensions/scientific/refs/heads/main/json-schema/schema.json" ], "id": "e817a8c7-a65d-4855-b2d7-1bc3308861d6_radar_aux_dts_item", "geometry": { "type": "Polygon", "coordinates": [ [ [ 87.229263, 26.891405 ], [ 90.416252, 26.891405 ], [ 90.416252, 30.416386 ], [ 87.229263, 30.416386 ], [ 87.229263, 26.891405 ] ] ] }, "bbox": [ 87.229263, 26.891405, 90.416252, 30.416386 ], "properties": { "title": "Time series", "productType": "LOS_DISPLACEMENT_TIMESERIES", "productId": "DTSLOS_GDMCNRS_20240910_20250108_7AEA", "status": "ACQUIRED", "updated": "2025-01-16T10:20:38Z", "datesOfSARScenes": "Time_Serie", "processingId": "GDMSARUGA_e817a8c7-a65d-4855-b2d7-1bc3308861d6", "userId": "GDMCNRS", "softwareVersion": "NSBAS:v2.3.0:02fa325cfbdb82bc64e13ac0e1e3b5062be732d2", "appliedAlgorithmDescription": "NSBAS processing chain, differential interferogram generation with bursts coregistration using spectral diversity", "mainReference": "Doin et al 2011, Grandin et al 2016, Thollard et al. 2021", "created": "2025-01-11T20:44:55Z", "appliedFilter": "sliding window taking phase gradient into account", "appliedUnwrappingAlgorithm": "MP Doin method described in Grandin et al, doi: 10.1130/G33154.1", "referencePoint": "1954 3363 (X Y)", "appliedCorrections": ":NULL", "parameters": { "corrDEMPath": "DEM_CORRECTION", "listInterfero": "interf_pair.rsc", "digitalElevationModel": "DEM/nasadem30_87_89_27_30.dem", "layOver": "yes", "makeRawOrbitType": "DOR", "orbitType": "HDR", "fitQuad": "no", "fitQuadSim": "yes", "pixelRatio": "0.25", "simResampling": "idw", "rlooksSim": "1", "rlooksIn": "2", "rlooksUnw": "4", "skip": "4", "tagSD": "_sd", "spectralDiversityQuadAz": "no", "criticalNormalBaseline": "1100", "criticalTemporalBaseline": "5", "criticalDopplerBaseline": "1380", "atmo": "no", "eCMWFModel": "NULL", "doWrappedRamp": "no", "nFitRange": "0", "threshAmpRange": "0.01", "doWrappedRampAz": "no", "nFitAz": "0", "threshAmpAz": "0.2", "doCorrDEM": "no", "suffCorrDEM": "_era_flatr", "sWWindowSizeDEM": "10", "threshAmpInt": "20", "doColin": "no", "filterStrength": "0.7", "filterStyle": "SWg", "sWWindowSize": "6", "sWAmpLim": "1.00", "polarisation": "vv", "unwrapMethod": "mpd", "thresholdUnwrap": "0.2", "swath": "iw2", "startLat": "27.859799001992013", "stopLat": "29.258926450895444", "checkUnwFrac": "yes", "palette": "jet", "fullRes": "no", "startAnxTime": "2482.805255913136", "stopAnxTime": "2515.904197112763", "digitalElevationModelRestrict": "DEM/GDM_DEM_geo.hgt", "unwrapSeedX": "1954", "unwrapSeedY": "3363", "prefTS": "filtSW_", "suffTS": "_sd", "doRefer": "yes", "refLeft": "1944", "refTop": "3353", "refWidth": "21", "refLength": "21" }, "serviceUsedForGeneration": "GDM-SAR-UGA", "sensor": "S1", "mode": "IW", "antennaSide": "RIGHT", "relativeOrbitNumber": "48", "productFormat": "GEOTIFF", "license": "https://creativecommons.org/licenses/by-nc/4.0/", "superMasterSARImageId": "S1A_IW_SLC__1SDV_20241028T000258_20241028T000325_056295_06E4F0_60CD.SAFE-188.524459-S1A_IW_SLC__1SDV_20241028T000323_20241028T000350_056295_06E4F0_082D.SAFE-221.625082", "numberOfBursts": "13", "bandDescription": [ "cube of 11 total phase delay images" ], "valueUnit": [ "rad" ], "productURL": "https://formater.osug.fr/permanent-products-repository/public/e817a8c7-a65d-4855-b2d7-1bc3308861d6/iw2_iw3/GDM_DTs_radar_4rlks.tiff", "previewURL": "https://formater.osug.fr/permanent-products-repository/public/e817a8c7-a65d-4855-b2d7-1bc3308861d6/iw2_iw3/GDM_DTs_radar_4rlks.png", "productSize": "654171107", "orbitDirection": "DESCENDING", "polarisation": "V/V", "wavelength": "0.05546576", "numberOfLooksRange": "16", "numberOfLooksAzimuth": "4", "First_line_utc": "188.5265145563", "Last_line_utc": "228.8154180363", "azimuthPixelSize": "62.4573", "rangePixelSize": "37.272992", "spatialResolution": [ [ "62.4573", "[m]" ], [ "37.272992", "[m]" ] ], "boundingBoxRadar": "POLYGON((89.5143 29.526,87.7611 29.7381,87.2974 27.363,89.0455 27.3151,89.5143 29.526))", "footprintBoundingBox": "POLYGON((89.5143 29.526,87.7611 29.7381,87.2974 27.363,89.0455 27.3151,89.5143 29.526))", "nearRangeLookAngle": "32.2828", "farRangeLookAngle": "40.4735", "inputIdentifiers": "InW_GDMCNRS_InW_radar_20240910_20240922_7FDD,InW_GDMCNRS_InW_radar_20240910_20241004_C2D6,InW_GDMCNRS_InW_radar_20240910_20241016_05E6,InW_GDMCNRS_InW_radar_20240922_20241004_7037,InW_GDMCNRS_InW_radar_20240922_20241016_9620,InW_GDMCNRS_InW_radar_20240922_20241028_7C94,InW_GDMCNRS_InW_radar_20241004_20241016_CD50,InW_GDMCNRS_InW_radar_20241004_20241028_8DB5,InW_GDMCNRS_InW_radar_20241004_20241109_F128,InW_GDMCNRS_InW_radar_20241016_20241028_BA7F,InW_GDMCNRS_InW_radar_20241016_20241109_6291,InW_GDMCNRS_InW_radar_20241016_20241121_F9BD,InW_GDMCNRS_InW_radar_20241028_20241109_D9C0,InW_GDMCNRS_InW_radar_20241028_20241121_DFB9,InW_GDMCNRS_InW_radar_20241028_20241203_9A80,InW_GDMCNRS_InW_radar_20241028_20250108_4771,InW_GDMCNRS_InW_radar_20241109_20241121_B6F9,InW_GDMCNRS_InW_radar_20241109_20241203_3478,InW_GDMCNRS_InW_radar_20241109_20241215_0311,InW_GDMCNRS_InW_radar_20241121_20241203_C798,InW_GDMCNRS_InW_radar_20241121_20241215_7A6D,InW_GDMCNRS_InW_radar_20241121_20241227_A531,InW_GDMCNRS_InW_radar_20241203_20241215_F04D,InW_GDMCNRS_InW_radar_20241203_20241227_6B4B,InW_GDMCNRS_InW_radar_20241203_20250108_FA21,InW_GDMCNRS_InW_radar_20241215_20241227_1F6E,InW_GDMCNRS_InW_radar_20241215_20250108_753D,InW_GDMCNRS_InW_radar_20241227_20250108_FD6A", "lookupTable": "Lut_GDMCNRS_Lut_radar_EC8E", "digitalElevationModelLink": "DEM_GDMCNRS_DEM_radar_257C", "mapOfIncidenceAngleForGeoTIFF": "CosENU_GDMCNRS_CosENU_radar_ECC3", "Map_of_incidence_angle_for_geotiff_EPOS": "CosNEU_GDMCNRS_CosNEU_radar_E01A", "acquisitionInformation": [ { "platform": { "type": "Platform", "platformShortName": "Sentinel-1", "orbitType": "LEO" } } ], "boundingBoxFeature": "POLYGON((87.229263 26.891405, 90.416252 26.891405, 90.416252 30.416386, 87.229263 30.416386, 87.229263 26.891405))", "links": { "data": [ { "type": "image/tiff", "href": "https://formater.osug.fr/permanent-products-repository/public/e817a8c7-a65d-4855-b2d7-1bc3308861d6/iw2_iw3/GDM_DTs_radar_4rlks.tiff", "title": "Data" } ], "alternates": [ { "type": "application/geo+json", "href": "https://formater.osug.fr/permanent-products-repository/public/e817a8c7-a65d-4855-b2d7-1bc3308861d6/iw2_iw3/GDM_DTs_radar_4rlks.json", "title": "geoJSON EO metadata" } ], "preview": [ { "type": "image/png", "href": "https://formater.osug.fr/permanent-products-repository/public/e817a8c7-a65d-4855-b2d7-1bc3308861d6/iw2_iw3/GDM_DTs_radar_4rlks.png", "title": "Preview" } ], "via": [ { "type": "text/meta", "href": "https://formater.osug.fr/permanent-products-repository/public/e817a8c7-a65d-4855-b2d7-1bc3308861d6/iw2_iw3/GDM_DTs_radar_4rlks.meta", "title": "GDM-SAR metadata" } ] }, "parent_collection": "e817a8c7-a65d-4855-b2d7-1bc3308861d6", "uuid": "e817a8c7-a65d-4855-b2d7-1bc3308861d6", "description": "[Repository](../collection.json) > [e817a8c7-a65d-4855-b2d7-1bc3308861d6](collection.json) > [Radar geometry](radar_collection.json) > [Time series](radar_timeseries_collection.json) > Time series\n\n# Time Serie\n\n> The Time-series geotiff file is a (x,y,t) cube product (an envi file). The cube file contains phase delay images at each time step of the time series. Time series for some pixels might be incomplete because unwrapping did not extend everywhere and homogenously for all interferograms. The phase delay is cumulated since the first date that is valid for a given pixel. In order to improve visualization of data slices per date, in terrain geometry, the phase reference for each pixel is set to the origin (at time of first acquisition) of a linear fit through the time series. This representation avoids the APS of the first image to appear in negative on all other dates. However, it is not ideal in case of strongly non linear deformation.\n>\n> The geotiff file has nb_image bands (nb_image is the number of time steps). Each band is given in rad along the LOS, positive away from satellite.\n>\n> - Band name gives the date of the time step (YYYY-MM-DD)\n>\n> The png file has 1 band:\n>\n> - band 1 is last time step of the cube.\n\n[source](https://formater.pages.in2p3.fr/flatsim/products/DTs.html)\n", "providers": [ { "name": "ESA", "description": "The European Space Agency (ESA) is a 22-member intergovernmental body devoted to space exploration. With its headquarters in Paris and a staff of around 2,547 people globally as of 2023, the ESA was founded in 1975.", "roles": [ "producer" ], "url": "https://www.esa.int/" }, { "name": "OSUG", "description": "L'Observatoire des sciences de l'Univers de Grenoble (OSUG) est un observatoire des sciences de l'Univers (OSU) associé à l'Institut national des sciences de l'Univers (INSU) du CNRS et une école interne de l'université Grenoble-Alpes. Les OSU ont pour mission l’observation, la recherche, la formation et la diffusion des connaissances. L’OSUG œuvre dans tous les domaines des Sciences de l’Univers, de la planète Terre et de l’environnement.", "roles": [ "processor", "licensor" ], "url": "https://www.osug.fr/" }, { "name": "OPGC", "description": "L'Observatoire de physique du globe de Clermont-Ferrand (OPGC) est un observatoire des sciences de l'univers (OSU) dépendant du Centre national de la recherche scientifique (CNRS) et de l’université Clermont-Auvergne (UCA). Fondé en 1876 par Émile Alluard sous le nom d'Observatoire du Puy de Dôme, il s'est nommé l'Institut et observatoire de physique du globe (IOPG) de 1921 à 1985.", "roles": [ "host" ], "url": "https://opgc.uca.fr/" } ], "platforms": [ "sentinel-1a", "sentinel-1b" ], "instruments": [ "c-sar" ], "constellation": "sentinel-1", "mission": null, "licenses": "CC-BY-NC-4.0", "sat:platform_international_designator": "2014-016A", "sat:orbit_state": "geostationary", "sat_ext:platform_international_designators": [ "2014-016A", "2016-025A" ], "sar:frequency_band": "C", "sar:center_frequency": 5.405, "sar_ext:wavelength": 0.05546576, "processing:level": "L2", "sci:publications": [ { "citation": "Doin, M.-P., Lodge, F., Guillaso, S., Jolivet, R., Lasserre, C., Ducret, G., Grandin, R., Pathier, E., Pinel, V. (2011). Presentation of the small baseline NSBAS processing chain on a case example: The Etna deformation monitoring from 2003 to 2010 using Envisat data. In Proceedings of FRINGE 2011 ESA Workshop, Frascati, Italy,19–23 September 2011, ESA Publication SP-697.", "doi": "" }, { "citation": "Raphaël Grandin (Institut de Physique du Globe de Paris, France) (2015). \"Interferometric Processing of SLC Sentinel-1 TOPS Data \". In Proceedings of FRINGE’15: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop, Frascati, Italy, 23-27 March 2015, Ouwehand L., Ed., ESA Publication SP-731.", "doi": "10.5270/Fringe2015.116" }, { "citation": "Thollard, F., Clesse, D., Doin, M.-P., Donadieu, J., Durand, P., Grandin, R., Lasserre, C., Laurent, C., Deschamps-Ostanciaux, E, Pathier, E., Pointal, E, Proy, C., Specht, B. (2021). FLATSIM: The ForM@Ter LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service, Remote Sens. 13 (18), 3734.", "doi": "10.3390/rs13183734" } ], "keywords": [ "radar geometry", "time series", "InSAR", "resolution_4looks", "LOS displacement", "GDM-SAR-In", "geostationary", "NSBAS processing chain" ], "datetime": "2025-01-16T10:20:38Z" }, "links": [ { "rel": "self", "href": "/data2/repository/gdmsarin/e817a8c7-a65d-4855-b2d7-1bc3308861d6/radar_aux_dts_item.json", "type": "application/json" }, { "rel": "cite-as", "href": "https://flatsim.cnes.fr/doi/docs/NSBAS_Etna.pdf" }, { "rel": "cite-as", "href": "https://proceedings.esa.int/files/116.pdf" }, { "rel": "cite-as", "href": "https://www.mdpi.com/2072-4292/13/18/3734" }, { "rel": "license", "href": "https://creativecommons.org/licenses/by-nc/4.0/" }, { "rel": "parent", "href": "./radar_collection.json", "type": "application/json", "title": "Time series" }, { "rel": "collection", "href": "./radar_collection.json", "type": "application/json", "title": "Time series" } ], "assets": { "GDM_DTs_radar_4rlks.png": { "href": "./assets/GDM_DTs_radar_4rlks.png", "type": "image/png", "title": "GDM_DTs_radar_4rlks.png", "description": "# Time Serie\n\n> The Time-series geotiff file is a (x,y,t) cube product (an envi file). The cube file contains phase delay images at each time step of the time series. Time series for some pixels might be incomplete because unwrapping did not extend everywhere and homogenously for all interferograms. The phase delay is cumulated since the first date that is valid for a given pixel. In order to improve visualization of data slices per date, in terrain geometry, the phase reference for each pixel is set to the origin (at time of first acquisition) of a linear fit through the time series. This representation avoids the APS of the first image to appear in negative on all other dates. However, it is not ideal in case of strongly non linear deformation.\n>\n> The geotiff file has nb_image bands (nb_image is the number of time steps). Each band is given in rad along the LOS, positive away from satellite.\n>\n> - Band name gives the date of the time step (YYYY-MM-DD)\n>\n> The png file has 1 band:\n>\n> - band 1 is last time step of the cube.\n\n[source](https://formater.pages.in2p3.fr/flatsim/products/DTs.html)\n", "roles": [ "visual" ] }, "GDM_DTs_radar_4rlks.tiff": { "href": "./assets/GDM_DTs_radar_4rlks.tiff", "type": "image/tiff; application=geotiff", "title": "GDM_DTs_radar_4rlks.tiff", "description": "# Time Serie\n\n> The Time-series geotiff file is a (x,y,t) cube product (an envi file). The cube file contains phase delay images at each time step of the time series. Time series for some pixels might be incomplete because unwrapping did not extend everywhere and homogenously for all interferograms. The phase delay is cumulated since the first date that is valid for a given pixel. In order to improve visualization of data slices per date, in terrain geometry, the phase reference for each pixel is set to the origin (at time of first acquisition) of a linear fit through the time series. This representation avoids the APS of the first image to appear in negative on all other dates. However, it is not ideal in case of strongly non linear deformation.\n>\n> The geotiff file has nb_image bands (nb_image is the number of time steps). Each band is given in rad along the LOS, positive away from satellite.\n>\n> - Band name gives the date of the time step (YYYY-MM-DD)\n>\n> The png file has 1 band:\n>\n> - band 1 is last time step of the cube.\n\n[source](https://formater.pages.in2p3.fr/flatsim/products/DTs.html)\n", "roles": [ "visual" ] }, "legend_DTs_radar_runw.png": { "href": "./assets/legend_DTs_radar_runw.png", "type": "image/png", "title": "legend_DTs_radar_runw.png", "description": "# Time Serie\n\n> The Time-series geotiff file is a (x,y,t) cube product (an envi file). The cube file contains phase delay images at each time step of the time series. Time series for some pixels might be incomplete because unwrapping did not extend everywhere and homogenously for all interferograms. The phase delay is cumulated since the first date that is valid for a given pixel. In order to improve visualization of data slices per date, in terrain geometry, the phase reference for each pixel is set to the origin (at time of first acquisition) of a linear fit through the time series. This representation avoids the APS of the first image to appear in negative on all other dates. However, it is not ideal in case of strongly non linear deformation.\n>\n> The geotiff file has nb_image bands (nb_image is the number of time steps). Each band is given in rad along the LOS, positive away from satellite.\n>\n> - Band name gives the date of the time step (YYYY-MM-DD)\n>\n> The png file has 1 band:\n>\n> - band 1 is last time step of the cube.\n\n[source](https://formater.pages.in2p3.fr/flatsim/products/DTs.html)\n", "roles": [ "graphic", "legend" ] }, "download": { "href": "https://formater.osug.fr/download/gdm-sar-permanent/e817a8c7-a65d-4855-b2d7-1bc3308861d6", "type": "text/html", "title": "Download tool", "description": "Link to the download page for the original source product, before STAC conversion.", "roles": [ "metadata" ] }, "documentation": { "href": "https://formater.pages.in2p3.fr/flatsim/product.html", "type": "text/html", "title": "Product description (general for NSBAS, including GDM-SAR-In and FLATSIM)", "description": "Documentation page describing the product names and acronyms, information about the generation of the products, and metadata definitions.", "roles": [ "metadata" ] }, "local_folder": { "href": "http://isdeform.opgc.fr/static/GDMSARIn/e817a8c7-a65d-4855-b2d7-1bc3308861d6", "type": "text/html", "title": "Local folder for this STAC file", "roles": [ "metadata" ] } }, "collection": "e817a8c7-a65d-4855-b2d7-1bc3308861d6_radar_timeseries_collection", "breadcrumb": "[Repository](../collection.json) > [e817a8c7-a65d-4855-b2d7-1bc3308861d6](collection.json) > [Radar geometry](radar_collection.json) > [Time series](radar_timeseries_collection.json) > Time series", "ingestion_time": "2026-06-01T12:51:17.563383" }