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On March 4, 2025 at 7:28:57 AM UTC, Administrator:

Set author of Snow depth mapping by lidar station Braemabuel to [{"given_name": "Pia", "name": "Ruttner", "email": "pia.ruttner@slf.ch", "data_credit": ["collection", "validation", "curation", "software", "publication", "supervision"], "identifier": "0000-0002-6503-3730", "affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland"}, {"given_name": "Annelies", "name": "Voordendag", "email": "avoordendag@ethz.ch", "data_credit": ["publication", "supervision"], "identifier": "0000-0003-0251-5991", "affiliation": "Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland"}, {"given_name": "Thierry", "name": "Hartmann", "email": "thierry.hartmann@slf.ch", "data_credit": ["collection"], "identifier": "", "affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland"}, {"given_name": "Julia", "name": "Glaus", "email": "julia.glaus@slf.ch", "data_credit": ["collection"], "identifier": "", "affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland"}, {"given_name": "Andreas", "name": "Wieser", "email": "andreas.wieser@geod.baug.ethz.ch", "data_credit": ["publication", "supervision"], "identifier": "0000-0001-5804-2164", "affiliation": "Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland"}, {"given_name": "Yves", "name": "B\u00fchler", "email": "buehler@slf.ch", "data_credit": ["publication", "supervision"], "identifier": "0000-0002-0815-2717", "affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland"}] (previously [{"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland", "affiliation_02": "Climate Change, Extremes, and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, 7260, Switzerland", "affiliation_03": "Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland", "data_credit": ["collection", "validation", "curation", "software", "publication", "supervision"], "email": "pia.ruttner@slf.ch", "given_name": "Pia", "identifier": "0000-0002-6503-3730", "name": "Ruttner"}, {"affiliation": "Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland", "affiliation_02": "", "affiliation_03": "", "email": "avoordendag@ethz.ch", "given_name": "Annelies", "identifier": "0000-0003-0251-5991", "name": "Voordendag"}, {"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland", "affiliation_02": "", "affiliation_03": "", "data_credit": "collection", "email": "thierry.hartmann@slf.ch", "given_name": "Thierry", "identifier": "", "name": "Hartmann"}, {"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland", "affiliation_02": "Climate Change, Extremes, and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, 7260, Switzerland", "affiliation_03": "Institute for Geotechnical Engineering, ETH Zurich, Zurich, 8092, Switzerland", "data_credit": "collection", "email": "julia.glaus@slf.ch", "given_name": "Julia", "identifier": "", "name": "Glaus"}, {"affiliation": "Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland", "affiliation_02": "", "affiliation_03": "", "data_credit": ["publication", "supervision"], "email": "andreas.wieser@geod.baug.ethz.ch", "given_name": "Andreas", "identifier": "0000-0001-5804-2164", "name": "Wieser"}, {"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland", "affiliation_02": "Climate Change, Extremes, and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, 7260, Switzerland", "affiliation_03": "", "data_credit": ["publication", "supervision"], "email": "buehler@slf.ch", "given_name": "Yves", "identifier": "0000-0002-0815-2717", "name": "B\u00fchler"}])

Updated description of Snow depth mapping by lidar station Braemabuel from
We developed a monitoring system using low-cost lidar and optical sensors, to measure snow depth variations in an avalanche release area at a high spatiotemporal scale (centimeter to low decimeter spatial resolution and hourly temporal resolution). We analyze data obtained from such a monitoring system, installed within an avalanche release area at 2200 m a.s.l. close to Davos in the Swiss Alps. The system comprises two measurement stations and has been operational since November 2023.
to
We developed a monitoring system using low-cost lidar (Livox Avia) and optical sensors, to measure snow depth variations in an avalanche release area at a high spatiotemporal scale (centimeter to low decimeter spatial resolution and hourly temporal resolution). A detailed description of the setup and a first data analysis is published in: [Ruttner-Jansen, P., Voordendag, A., Hartmann, T., Glaus, J., Wieser, A., & Bühler, Y. (2024). Monitoring snow depth variations in an avalanche release area using low cost lidar and optical sensors. EGUsphere, 2024, 1-20.](https://egusphere.copernicus.org/preprints/2024/egusphere-2024-744/) This dataset contains hourly 3D lidar data of the snow surface at the test site Braemabuel in Davos, Switzerland from the winter season 2023-2024 (23.11.2023 - 14.04.2024). Braema1 is installed at 2191 m a.s.l. in the slope, looking up into the avalache release area, and Braema2 is installed at 2255 m a.s.l at the ridge, looking down. Both scans together cover an area of about 15000 m². The data is in format ".las" and contains the points in XYZ [m], in the scanner own coordinate system - scalar fields: intensity, return number, timestamp, tag, label -- tag: binary code from Livox (see [Livox Avia Manual](https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/Avia/Livox%20Avia%20User%20Manual%20202204.pdf)) -- label: marking outliers (filtered by distance and SOR to get snow particles in the air)

Changed value of field publication_state to published in Snow depth mapping by lidar station Braemabuel

Added resource Braema2 to Snow depth mapping by lidar station Braemabuel

Added resource Braema1 to Snow depth mapping by lidar station Braemabuel

Deleted resource Data Access from Snow depth mapping by lidar station Braemabuel

              
    
          
          
        
        
            f 1 { f 1 {
            n 2   "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche  n 2   "author": "[{\"given_name\": \"Pia\", \"name\": \"Ruttner\", 
            3 Research SLF, Davos Dorf, 7260, Switzerland\", \"affiliation_02\":  3 \"email\": \"pia.ruttner@slf.ch\", \"data_credit\": [\"collection\", 
            4 \"Climate Change, Extremes, and Natural Hazards in Alpine Regions  
            5 Research Center CERC, Davos Dorf, 7260, Switzerland\",  
            6 \"affiliation_03\": \"Institute of Geodesy and Photogrammetry, ETH  
            7 Zurich, Zurich, 8092, Switzerland\", \"data_credit\": [\"collection\",  
            8 \"validation\", \"curation\", \"software\", \"publication\",  4 \"validation\", \"curation\", \"software\", \"publication\", 
            n 9 \"supervision\"], \"email\": \"pia.ruttner@slf.ch\", \"given_name\":  n 
            10 \"Pia\", \"identifier\": \"0000-0002-6503-3730\", \"name\":  5 \"supervision\"], \"identifier\": \"0000-0002-6503-3730\", 
            6 \"affiliation\": \"WSL Institute for Snow and Avalanche Research SLF, 
            7 Davos Dorf, 7260, Switzerland\"}, {\"given_name\": \"Annelies\", 
            8 \"name\": \"Voordendag\", \"email\": \"avoordendag@ethz.ch\", 
            9 \"data_credit\": [\"publication\", \"supervision\"], \"identifier\": 
            11 \"Ruttner\"}, {\"affiliation\": \"Institute of Geodesy and  10 \"0000-0003-0251-5991\", \"affiliation\": \"Institute of Geodesy and 
            12 Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland\",  11 Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland\"}, 
            13 \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\":  12 {\"given_name\": \"Thierry\", \"name\": \"Hartmann\", \"email\": 
            14 \"avoordendag@ethz.ch\", \"given_name\": \"Annelies\", \"identifier\":  13 \"thierry.hartmann@slf.ch\", \"data_credit\": [\"collection\"], 
            15 \"0000-0003-0251-5991\", \"name\": \"Voordendag\"}, {\"affiliation\":  
            16 \"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,  
            17 Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\",  
            18 \"data_credit\": \"collection\", \"email\":  
            19 \"thierry.hartmann@slf.ch\", \"given_name\": \"Thierry\",  
            20 \"identifier\": \"\", \"name\": \"Hartmann\"}, {\"affiliation\": \"WSL  
            21 Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,  
            22 Switzerland\", \"affiliation_02\": \"Climate Change, Extremes, and  
            23 Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf,  
            24 7260, Switzerland\", \"affiliation_03\": \"Institute for Geotechnical  
            25 Engineering, ETH Zurich, Zurich, 8092, Switzerland\", \"data_credit\":  
            26 \"collection\", \"email\": \"julia.glaus@slf.ch\", \"given_name\":  
            27 \"Julia\", \"identifier\": \"\", \"name\": \"Glaus\"},  
            28 {\"affiliation\": \"Institute of Geodesy and Photogrammetry, ETH  
            29 Zurich, Zurich, 8092, Switzerland\", \"affiliation_02\": \"\",  
            30 \"affiliation_03\": \"\", \"data_credit\": [\"publication\",  
            31 \"supervision\"], \"email\": \"andreas.wieser@geod.baug.ethz.ch\",  
            32 \"given_name\": \"Andreas\", \"identifier\": \"0000-0001-5804-2164\",  
            33 \"name\": \"Wieser\"}, {\"affiliation\": \"WSL Institute for Snow and  14 \"identifier\": \"\", \"affiliation\": \"WSL Institute for Snow and 
            34 Avalanche Research SLF, Davos Dorf, 7260, Switzerland\",  15 Avalanche Research SLF, Davos Dorf, 7260, Switzerland\"}, 
            35 \"affiliation_02\": \"Climate Change, Extremes, and Natural Hazards in  16 {\"given_name\": \"Julia\", \"name\": \"Glaus\", \"email\": 
            17 \"julia.glaus@slf.ch\", \"data_credit\": [\"collection\"], 
            18 \"identifier\": \"\", \"affiliation\": \"WSL Institute for Snow and 
            36 Alpine Regions Research Center CERC, Davos Dorf, 7260, Switzerland\",  19 Avalanche Research SLF, Davos Dorf, 7260, Switzerland\"}, 
            37 \"affiliation_03\": \"\", \"data_credit\": [\"publication\",  20 {\"given_name\": \"Andreas\", \"name\": \"Wieser\", \"email\": 
            38 \"supervision\"], \"email\": \"buehler@slf.ch\", \"given_name\":  21 \"andreas.wieser@geod.baug.ethz.ch\", \"data_credit\": 
            22 [\"publication\", \"supervision\"], \"identifier\": 
            23 \"0000-0001-5804-2164\", \"affiliation\": \"Institute of Geodesy and 
            24 Photogrammetry, ETH Zurich, Zurich, 8092, Switzerland\"}, 
            25 {\"given_name\": \"Yves\", \"name\": \"B\\u00fchler\", \"email\": 
            26 \"buehler@slf.ch\", \"data_credit\": [\"publication\", 
            39 \"Yves\", \"identifier\": \"0000-0002-0815-2717\", \"name\":  27 \"supervision\"], \"identifier\": \"0000-0002-0815-2717\", 
            40 \"B\\u00fchler\"}]", 28 \"affiliation\": \"WSL Institute for Snow and Avalanche Research SLF, 
            29 Davos Dorf, 7260, Switzerland\"}]",
            41   "author_email": null, 30   "author_email": null,
            42   "creator_user_id": "5f278ac1-7d7c-42be-a741-e89031b8dae1", 31   "creator_user_id": "5f278ac1-7d7c-42be-a741-e89031b8dae1",
            43   "date": "[{\"date\": \"2023-11-23\", \"date_type\": \"collected\",  32   "date": "[{\"date\": \"2023-11-23\", \"date_type\": \"collected\", 
            44 \"end_date\": \"2024-04-14\"}]", 33 \"end_date\": \"2024-04-14\"}]",
            45   "doi": "10.16904/envidat.581", 34   "doi": "10.16904/envidat.581",
            46   "funding": "[{\"grant_number\":\"207519\",\"institution\":\"Swiss  35   "funding": "[{\"grant_number\":\"207519\",\"institution\":\"Swiss 
            47 National Science  36 National Science 
            48 \",\"institution_url\":\"https://data.snf.ch/grants/grant/207519\"}]", 37 \",\"institution_url\":\"https://data.snf.ch/grants/grant/207519\"}]",
            49   "groups": [], 38   "groups": [],
            50   "id": "0b960b89-14e7-4113-beef-03dfe0eb48d6", 39   "id": "0b960b89-14e7-4113-beef-03dfe0eb48d6",
            51   "isopen": true, 40   "isopen": true,
            52   "language": "en", 41   "language": "en",
            53   "license_id": "cc-by-sa", 42   "license_id": "cc-by-sa",
            54   "license_title": "Creative Commons Attribution Share-Alike  43   "license_title": "Creative Commons Attribution Share-Alike 
            55 (CC-BY-SA)", 44 (CC-BY-SA)",
            56   "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", 45   "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            57   "maintainer": "{\"affiliation\": \"WSL Institute for Snow and  46   "maintainer": "{\"affiliation\": \"WSL Institute for Snow and 
            58 Avalanche Research SLF, Davos Dorf, 7260, Switzerland\", \"email\":  47 Avalanche Research SLF, Davos Dorf, 7260, Switzerland\", \"email\": 
            59 \"pia.ruttner@slf.ch\", \"given_name\": \"Pia\", \"identifier\":  48 \"pia.ruttner@slf.ch\", \"given_name\": \"Pia\", \"identifier\": 
            60 \"0000-0002-6503-3730\", \"name\": \"Ruttner\"}", 49 \"0000-0002-6503-3730\", \"name\": \"Ruttner\"}",
            61   "maintainer_email": null, 50   "maintainer_email": null,
            62   "metadata_created": "2025-01-28T16:02:18.175152", 51   "metadata_created": "2025-01-28T16:02:18.175152",
            n 63   "metadata_modified": "2025-01-30T15:08:21.905904", n 52   "metadata_modified": "2025-03-04T07:28:57.119032",
            64   "name": "snow-depth-mapping-by-lidar-station-braemabuel", 53   "name": "snow-depth-mapping-by-lidar-station-braemabuel",
            n 65   "notes": "We developed a monitoring system using low-cost lidar and  n 54   "notes": "We developed a monitoring system using low-cost lidar 
            66 optical sensors, to measure snow depth variations in an avalanche  55 (Livox Avia) and optical sensors, to measure snow depth variations in 
            67 release area at a high spatiotemporal scale (centimeter to low  56 an avalanche release area at a high spatiotemporal scale (centimeter 
            68 decimeter spatial resolution and hourly temporal resolution). We  57 to low decimeter spatial resolution and hourly temporal resolution). A 
            69 analyze data obtained from such a monitoring system, installed within  58 detailed description of the setup and a first data analysis is 
            70 an avalanche release area at 2200 m a.s.l. close to Davos in the Swiss  59 published in: \n\n[Ruttner-Jansen, P., Voordendag, A., Hartmann, T., 
            71 Alps. The system comprises two measurement stations and has been  60 Glaus, J., Wieser, A., & B\u00fchler, Y. (2024). Monitoring snow depth 
            72 operational since November 2023.", 61 variations in an avalanche release area using low cost lidar and 
            62 optical sensors. EGUsphere, 2024, 
            63 //egusphere.copernicus.org/preprints/2024/egusphere-2024-744/)\n\nThis 
            64 dataset contains hourly 3D lidar data of the snow surface at the test 
            65 site Braemabuel in Davos, Switzerland from the winter season 2023-2024 
            66 (23.11.2023 - 14.04.2024). Braema1 is installed at 2191 m a.s.l. in 
            67 the slope, looking up into the avalache release area, and Braema2 is 
            68 installed at 2255 m a.s.l at the ridge, looking down. Both scans 
            69 together cover an area of about 15000 m\u00b2.\n\nThe data is in 
            70 format \".las\" and contains the points in XYZ [m], in the scanner own 
            71 coordinate system\n- scalar fields: intensity, return number, 
            72 timestamp, tag, label\n-- tag: binary code from Livox (see [Livox Avia 
            73 50ba1131/Download/Avia/Livox%20Avia%20User%20Manual%20202204.pdf))\n-- 
            74 label: marking outliers (filtered by distance and SOR to get snow 
            75 particles in the air)",
            73   "num_resources": 1, 76   "num_resources": 2,
            74   "num_tags": 6, 77   "num_tags": 6,
            75   "organization": { 78   "organization": {
            76     "approval_status": "approved", 79     "approval_status": "approved",
            77     "created": "2021-10-27T11:11:19.402891", 80     "created": "2021-10-27T11:11:19.402891",
            78     "description": "\"__Cutting edge remote sensing research and  81     "description": "\"__Cutting edge remote sensing research and 
            79 technology for alpine regions__ - We strive to develop, test, combine  82 technology for alpine regions__ - We strive to develop, test, combine 
            80 and apply innovative solutions to detect, monitor and forecast natural  83 and apply innovative solutions to detect, monitor and forecast natural 
            81 hazards, aiming at safe mountains in a changing climate.\"\r\nClimate  84 hazards, aiming at safe mountains in a changing climate.\"\r\nClimate 
            82 change is having an increasing impact on the Alpine region and the  85 change is having an increasing impact on the Alpine region and the 
            83 potential for natural hazard processes in the high mountains is  86 potential for natural hazard processes in the high mountains is 
            84 rising. However, it is impossible to predict where extreme events will  87 rising. However, it is impossible to predict where extreme events will 
            85 occur, and complete protection of settlements and transport routes is  88 occur, and complete protection of settlements and transport routes is 
            86 technically and economically impossible.\r\n\r\nRemote sensing systems  89 technically and economically impossible.\r\n\r\nRemote sensing systems 
            87 on the ground, on drones, aircraft or satellites are increasingly  90 on the ground, on drones, aircraft or satellites are increasingly 
            88 becoming an important tool  in natural hazard research. They can be  91 becoming an important tool  in natural hazard research. They can be 
            89 used to accurately document events, continuously record changes, and  92 used to accurately document events, continuously record changes, and 
            90 identify potential \"hotspots\" at an early stage. The combination of  93 identify potential \"hotspots\" at an early stage. The combination of 
            91 optical and radar remote sensing systems has great potential to  94 optical and radar remote sensing systems has great potential to 
            92 increase the level of safety. The center is researching how such  95 increase the level of safety. The center is researching how such 
            93 systems can be optimally used in the future in high alpine terrain for  96 systems can be optimally used in the future in high alpine terrain for 
            94 the documentation, detection and prevention of natural  97 the documentation, detection and prevention of natural 
            95 hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the  98 hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the 
            96 CERC research centre.", 99 CERC research centre.",
            97     "id": "10cde33b-8da7-448a-b627-93e43d326154", 100     "id": "10cde33b-8da7-448a-b627-93e43d326154",
            98     "image_url":  101     "image_url": 
            99 s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", 102 s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png",
            100     "is_organization": true, 103     "is_organization": true,
            101     "name": "alpine-remote-sensing", 104     "name": "alpine-remote-sensing",
            102     "state": "active", 105     "state": "active",
            103     "title": "Alpine Remote Sensing", 106     "title": "Alpine Remote Sensing",
            104     "type": "organization" 107     "type": "organization"
            105   }, 108   },
            106   "owner_org": "10cde33b-8da7-448a-b627-93e43d326154", 109   "owner_org": "10cde33b-8da7-448a-b627-93e43d326154",
            107   "private": false, 110   "private": false,
            108   "publication": "{\"publication_year\": \"2025\", \"publisher\":  111   "publication": "{\"publication_year\": \"2025\", \"publisher\": 
            109 \"EnviDat\"}", 112 \"EnviDat\"}",
            n 110   "publication_state": "reserved", n 113   "publication_state": "published",
            111   "related_datasets": "", 114   "related_datasets": "",
            112   "related_publications": "", 115   "related_publications": "",
            113   "relationships_as_object": [], 116   "relationships_as_object": [],
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