{"data":{"id":"10.5281/zenodo.22147117","type":"dois","attributes":{"doi":"10.5281/zenodo.22147117","prefix":"10.5281","suffix":"zenodo.22147117","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Berthier, Etienne","nameType":"Personal","givenName":"Etienne","familyName":"Berthier","affiliation":["Université Toulouse III - Paul Sabatier"],"nameIdentifiers":[{"nameIdentifier":"0000-0001-5978-9155","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"13 October 2019 Pléiades (CNES) pre-event Digital Elevation Models (DEMs) for the rock-ice avalanche source area of the August 2026 Trishuli catastrophic flood"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-09-23","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22911264","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22147118","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Updated version of the 2 m merged Pléiades DEM where a ~10 m horizontal shift was corrected.\n\n===========================\n\nIntroduction\n\nOn 26 August 2026, a catastrophic debris flow hit the Trishuli river in Nepal (Rasuwa) and Tibet : (see e.g. https://www.antarcticglaciers.org/2026/08/august-2026-nepal-tibet-floods/)\n\nWe provide here pre-event Digital Elevation Models (DEMs) of the rock-ice avalanche area from a Pléiades tri-stereo acquired on the 13 October 2019, 7 years before the event. Images were obtained thanks to the Pléiades World Heritage program of Dinamis (https://dinamis.data-terra.org/) and CNES, the French Space Agency.\n\nThe updated collection includes one DEM : 2019-10-13_PHR1A_DEM_SGM_2m_merged.tif\n\n===========================\n\nMethods\n\nThe three Pléiades images were processed by pairs using the Ames Stereo Pipeline (ASP, Shean et al., 2016, Beyer et al., 2018), yielding in total nine DEMs in 2x2m, 4x4m and 20x20 m ground sampling distances (GSD). The processing was done using as only input the stereo-images and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereo-images, yielding a pointcloud which is then gridded at three GSD using the routine point2dem. We used the semi global matching (SGM) algorithm and the set of processing parameters from Deschamps-Berger et al. (2020). All individual DEMs have all been coregistered to the Copernicus 30 DEM using David Shean's demcoreg (https://zenodo.org/badge/latestdoi/72886193) implementation of Nuth \u0026 Kaab (2011). Then, for each GSD (20m, 4m and 2m), the three DEMs are mosaicked using the median value.\n\n2019-10-13_DEM_SGM_2m_merged.tif results from a merging of the three above DEMs retaining the highest resolution (2 m)where available and filling in the gaps with the coarser resolution ones.\n\n\n\nBeyer, R. A., Alexandrov, O., and McMichael, S.: The Ames Stereo Pipeline: NASA's Open Source Software for Deriving and Processing Terrain Data, Earth and Space Science, 5, 537–548, https://doi.org/10.1029/2018EA000409, 2018.\n\nDeschamps-Berger, C., Gascoin, S., Berthier, E., Deems, J., Gutmann, E., Dehecq, A., Shean, D., and Dumont, M.: Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data, The Cryosphere, 14, 2925–2940, https://doi.org/10.5194/tc-14-2925-2020, 2020.\n\nNuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011.\n\nShean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., and Morin, P.: An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery, ISPRS J. Photogramm., 116, 101–117, https://doi.org/10.1016/j.isprsjprs.2016.03.012, 2016.\n\n\n===========================\n\nData Specifications:\n\nCartographic projection: UTM zone 45N (EPSG:32645)\n\nOrigin of Elevation: meters above WGS84 ellipsoid\n\nRaster data format: GeoTIFF\n\nNoData value : -9999\n\nThis dataset includes only DEMs because a licence needs to be signed with CNES to access Pléiades imagery.\n\n===========================\n\nAcknowledgements: \n\nPléiades images were provided by Dinamis (https://dinamis.data-terra.org/) and the Pléiades World Heritage.\n\nCopyright is: Pléiades © CNES 2019, distribution AIRBUS DS\n\n===========================\n\nDataset Attribution:\n\nThis dataset is licensed under a Creative Commons CC BY-NC 4.0 International License (Attribution-NonCommercial).\n\n===========================\n\nCitation:\n\nPlease cite this repository as:\n\nEtienne Berthier. (2026).13 October 2019 Pléiades (CNES) pre-event Digital Elevation Models (DEMs) for the rock-ice avalanche source area of the August 2026 Trishuli catastrophic flood. doi: 10.5281/zenodo.22147118","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://zenodo.org/doi/10.5281/zenodo.22147117","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":0,"created":"2026-08-28T15:46:31.000Z","registered":"2026-08-28T15:46:31.000Z","published":"2026","updated":"2026-09-23T07:01:33.000Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}},"provider":{"data":{"id":"cern","type":"providers"}},"media":{"data":{"id":"10.5281/zenodo.22147117","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[{"id":"10.5281/zenodo.22911264","type":"dois"},{"id":"10.5281/zenodo.22147118","type":"dois"}]},"versionOf":{"data":[]}}}}