Changes
On October 27, 2021 at 9:25:40 AM UTC, Administrator:
-
Moved Photogrammetric snow depth maps from satellite-, airplane-, UAS and terrestrial platforms from the Davos region (Switzerland) from organization SLF to organization Alpine Remote Sensing
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | 2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | ||
3 | Research SLF\", \"affiliation_02\": \"Institute of Geodesy and | 3 | Research SLF\", \"affiliation_02\": \"Institute of Geodesy and | ||
4 | Photogrammetry, ETH Zurich\", \"affiliation_03\": \"\", | 4 | Photogrammetry, ETH Zurich\", \"affiliation_03\": \"\", | ||
5 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | 5 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | ||
6 | \"publication\"], \"email\": \"lucie.eberhard@slf.ch\", | 6 | \"publication\"], \"email\": \"lucie.eberhard@slf.ch\", | ||
7 | \"given_name\": \"Lucie A.\", \"identifier\": \"200021_172800\", | 7 | \"given_name\": \"Lucie A.\", \"identifier\": \"200021_172800\", | ||
8 | \"name\": \"Eberhard\"}, {\"affiliation\": \"WSL Institute for Snow | 8 | \"name\": \"Eberhard\"}, {\"affiliation\": \"WSL Institute for Snow | ||
9 | and Avalanche Research SLF\", \"affiliation_02\": \"\", | 9 | and Avalanche Research SLF\", \"affiliation_02\": \"\", | ||
10 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 10 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
11 | \"validation\", \"curation\", \"publication\", \"supervision\"], | 11 | \"validation\", \"curation\", \"publication\", \"supervision\"], | ||
12 | \"email\": \"buehler@slf.ch\", \"given_name\": \"Yves\", | 12 | \"email\": \"buehler@slf.ch\", \"given_name\": \"Yves\", | ||
13 | \"identifier\": \"0000-0002-0815-2717\", \"name\": \"B\\u00fchler\"}, | 13 | \"identifier\": \"0000-0002-0815-2717\", \"name\": \"B\\u00fchler\"}, | ||
14 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 14 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
15 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | 15 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | ||
16 | \"curation\"], \"email\": \"mauro.marty@wsl.ch\", \"given_name\": | 16 | \"curation\"], \"email\": \"mauro.marty@wsl.ch\", \"given_name\": | ||
17 | \"Mauro\", \"identifier\": \"0000-0002-0943-2454\", \"name\": | 17 | \"Mauro\", \"identifier\": \"0000-0002-0943-2454\", \"name\": | ||
18 | \"Marty\"}, {\"affiliation\": \"National School of Surveying, | 18 | \"Marty\"}, {\"affiliation\": \"National School of Surveying, | ||
19 | University of Otago\", \"affiliation_02\": \"\", \"affiliation_03\": | 19 | University of Otago\", \"affiliation_02\": \"\", \"affiliation_03\": | ||
20 | \"\", \"data_credit\": [\"validation\", \"curation\"], \"email\": \" | 20 | \"\", \"data_credit\": [\"validation\", \"curation\"], \"email\": \" | ||
21 | pascal.sirguey@otago.ac.nz\", \"given_name\": \"Pascal\", | 21 | pascal.sirguey@otago.ac.nz\", \"given_name\": \"Pascal\", | ||
22 | \"identifier\": \"0000-0003-2612-8347\", \"name\": \"Sirguey\"}]", | 22 | \"identifier\": \"0000-0003-2612-8347\", \"name\": \"Sirguey\"}]", | ||
23 | "author_email": null, | 23 | "author_email": null, | ||
24 | "creator_user_id": "c66f3f87-ad37-4c39-be16-5977313953df", | 24 | "creator_user_id": "c66f3f87-ad37-4c39-be16-5977313953df", | ||
25 | "date": "[{\"date\": \"2018-04-06\", \"date_type\": \"collected\", | 25 | "date": "[{\"date\": \"2018-04-06\", \"date_type\": \"collected\", | ||
26 | \"end_date\": \"2018-04-11\"}]", | 26 | \"end_date\": \"2018-04-11\"}]", | ||
27 | "doi": "10.16904/envidat.189", | 27 | "doi": "10.16904/envidat.189", | ||
28 | "funding": "[{\"grant_number\": \"200021_172800\", \"institution\": | 28 | "funding": "[{\"grant_number\": \"200021_172800\", \"institution\": | ||
29 | \"Swiss National Science Foundation (SNF)\", \"institution_url\": | 29 | \"Swiss National Science Foundation (SNF)\", \"institution_url\": | ||
30 | \"\"}, {\"grant_number\": \"IZSEZ0_185651\", \"institution\": \"Swiss | 30 | \"\"}, {\"grant_number\": \"IZSEZ0_185651\", \"institution\": \"Swiss | ||
31 | National Science Foundation (SNF)\", \"institution_url\": \"\"}, | 31 | National Science Foundation (SNF)\", \"institution_url\": \"\"}, | ||
32 | {\"grant_number\": \"UOOX1914\", \"institution\": \"MBIE Endeavour | 32 | {\"grant_number\": \"UOOX1914\", \"institution\": \"MBIE Endeavour | ||
33 | Smart Idea research project\", \"institution_url\": \"\"}, | 33 | Smart Idea research project\", \"institution_url\": \"\"}, | ||
34 | {\"grant_number\": \"ORG-0118-0319\", \"institution\": \"University of | 34 | {\"grant_number\": \"ORG-0118-0319\", \"institution\": \"University of | ||
35 | Otago Research grant \u201cGlaciers in the picture\u201d\", | 35 | Otago Research grant \u201cGlaciers in the picture\u201d\", | ||
36 | \"institution_url\": \"\"}, {\"grant_number\": \"GNS-DCF00043\", | 36 | \"institution_url\": \"\"}, {\"grant_number\": \"GNS-DCF00043\", | ||
37 | \"institution\": \"GNS research grant \u201cTopographic 25 mapping of | 37 | \"institution\": \"GNS research grant \u201cTopographic 25 mapping of | ||
38 | Franz Josef glacier \u201c\", \"institution_url\": \"\"}]", | 38 | Franz Josef glacier \u201c\", \"institution_url\": \"\"}]", | ||
39 | "groups": [], | 39 | "groups": [], | ||
40 | "id": "a41c5b83-a803-4527-b6f9-4d365ef84228", | 40 | "id": "a41c5b83-a803-4527-b6f9-4d365ef84228", | ||
41 | "isopen": false, | 41 | "isopen": false, | ||
42 | "language": "en", | 42 | "language": "en", | ||
43 | "license_id": "wsl-data", | 43 | "license_id": "wsl-data", | ||
44 | "license_title": "WSL Data Policy", | 44 | "license_title": "WSL Data Policy", | ||
45 | "license_url": | 45 | "license_url": | ||
46 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 46 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
47 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | 47 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | ||
48 | Avalanche Research SLF\", \"email\": \"lucie.eberhard@slf.ch\", | 48 | Avalanche Research SLF\", \"email\": \"lucie.eberhard@slf.ch\", | ||
49 | \"given_name\": \"Lucie A.\", \"identifier\": \"200021_172800\", | 49 | \"given_name\": \"Lucie A.\", \"identifier\": \"200021_172800\", | ||
50 | \"name\": \"Eberhard\"}", | 50 | \"name\": \"Eberhard\"}", | ||
51 | "maintainer_email": null, | 51 | "maintainer_email": null, | ||
52 | "metadata_created": "2020-11-11T09:35:16.232747", | 52 | "metadata_created": "2020-11-11T09:35:16.232747", | ||
n | 53 | "metadata_modified": "2021-03-12T09:07:28.032305", | n | 53 | "metadata_modified": "2021-10-27T09:25:40.632648", |
54 | "name": "intercomparison-of-photogrammetric-platforms", | 54 | "name": "intercomparison-of-photogrammetric-platforms", | ||
55 | "notes": "This data set contains the produced snow depth maps as | 55 | "notes": "This data set contains the produced snow depth maps as | ||
56 | well as the reference data set (manual and snow pole measurements) | 56 | well as the reference data set (manual and snow pole measurements) | ||
57 | from our paper \"Intercomparison of photogrammetric platforms for | 57 | from our paper \"Intercomparison of photogrammetric platforms for | ||
58 | spatially continuous snow depth mapping\".\r\n\r\n__Abstract.__ Snow | 58 | spatially continuous snow depth mapping\".\r\n\r\n__Abstract.__ Snow | ||
59 | depth has traditionally been estimated based on point measurements | 59 | depth has traditionally been estimated based on point measurements | ||
60 | collected either manually or at automated weather stations. Point | 60 | collected either manually or at automated weather stations. Point | ||
61 | measurements, though, do not represent the high spatial variability of | 61 | measurements, though, do not represent the high spatial variability of | ||
62 | snow depths present in alpine terrain. Photogrammetric mapping | 62 | snow depths present in alpine terrain. Photogrammetric mapping | ||
63 | techniques have progressed in recent years and are capable of | 63 | techniques have progressed in recent years and are capable of | ||
64 | accurately mapping snow depth in a spatially continuous manner, over | 64 | accurately mapping snow depth in a spatially continuous manner, over | ||
65 | larger areas, and at various spatial resolutions. However, the | 65 | larger areas, and at various spatial resolutions. However, the | ||
66 | strengths and weaknesses associated with specific platforms and | 66 | strengths and weaknesses associated with specific platforms and | ||
67 | photogrammetric techniques, as well as the accuracy of the | 67 | photogrammetric techniques, as well as the accuracy of the | ||
68 | photogrammetric performance on snow surfaces have not yet been | 68 | photogrammetric performance on snow surfaces have not yet been | ||
69 | sufficiently investigated. Therefore, industry-standard | 69 | sufficiently investigated. Therefore, industry-standard | ||
70 | photogrammetric platforms, including high-resolution satellites | 70 | photogrammetric platforms, including high-resolution satellites | ||
71 | (Pl\u00e9iades), airplane (Ultracam Eagle M3), Unmanned Aerial System | 71 | (Pl\u00e9iades), airplane (Ultracam Eagle M3), Unmanned Aerial System | ||
72 | (eBee+ with S.O.D.A. camera) and terrestrial (single lens reflex | 72 | (eBee+ with S.O.D.A. camera) and terrestrial (single lens reflex | ||
73 | camera, Canon EOS 750D), were tested for snow depth mapping in the | 73 | camera, Canon EOS 750D), were tested for snow depth mapping in the | ||
74 | alpine Dischma valley (Switzerland) in spring 2018. Imagery was | 74 | alpine Dischma valley (Switzerland) in spring 2018. Imagery was | ||
75 | acquired with airborne and space-borne platforms over the entire | 75 | acquired with airborne and space-borne platforms over the entire | ||
76 | valley, while Unmanned Aerial Systems (UAS) and terrestrial | 76 | valley, while Unmanned Aerial Systems (UAS) and terrestrial | ||
77 | photogrammetric imagery was acquired over a subset of the valley. For | 77 | photogrammetric imagery was acquired over a subset of the valley. For | ||
78 | independent validation of the photogrammetric products, snow depth was | 78 | independent validation of the photogrammetric products, snow depth was | ||
79 | measured by probing, as well as using remote observations of fixed | 79 | measured by probing, as well as using remote observations of fixed | ||
80 | snow poles.\r\n\r\nWhen comparing snow depth maps with manual and snow | 80 | snow poles.\r\n\r\nWhen comparing snow depth maps with manual and snow | ||
81 | pole measurements the root mean square error (RMSE) values and the | 81 | pole measurements the root mean square error (RMSE) values and the | ||
82 | normalized median deviation (NMAD) values were 0.52 m and 0.47 m | 82 | normalized median deviation (NMAD) values were 0.52 m and 0.47 m | ||
83 | respectively for the satellite snow depth map, 0.17 m and 0.17 m for | 83 | respectively for the satellite snow depth map, 0.17 m and 0.17 m for | ||
84 | the airplane snow depth map, 0.16 m and 0.11 m for the UAS snow depth | 84 | the airplane snow depth map, 0.16 m and 0.11 m for the UAS snow depth | ||
85 | map. The area covered by the terrestrial snow depth map only | 85 | map. The area covered by the terrestrial snow depth map only | ||
86 | intersected with 4 manual measurements and did not generate | 86 | intersected with 4 manual measurements and did not generate | ||
87 | statistically relevant measurements. When using the UAS snow depth map | 87 | statistically relevant measurements. When using the UAS snow depth map | ||
88 | as a reference surface, the RMSE and NMAD values were 0.44 m and 0.38 | 88 | as a reference surface, the RMSE and NMAD values were 0.44 m and 0.38 | ||
89 | m for the satellite snow depth map, 0.12 m and 0.11 m for the airplane | 89 | m for the satellite snow depth map, 0.12 m and 0.11 m for the airplane | ||
90 | snow depth map, 0.21 and 0.19 m for the terrestrial snow depth map. | 90 | snow depth map, 0.21 and 0.19 m for the terrestrial snow depth map. | ||
91 | When compared to the airplane dataset over a large part of the Dischma | 91 | When compared to the airplane dataset over a large part of the Dischma | ||
92 | valley (40 km2), the snow depth map from the satellite yielded a RMSE | 92 | valley (40 km2), the snow depth map from the satellite yielded a RMSE | ||
93 | value of 0.92 m and a NMAD value of 0.65 m. This study provides | 93 | value of 0.92 m and a NMAD value of 0.65 m. This study provides | ||
94 | comparative measurements between photogrammetric platforms to evaluate | 94 | comparative measurements between photogrammetric platforms to evaluate | ||
95 | their specific advantages and disadvantages for operational, spatially | 95 | their specific advantages and disadvantages for operational, spatially | ||
96 | continuous snow depth mapping in alpine terrain over both small and | 96 | continuous snow depth mapping in alpine terrain over both small and | ||
97 | large geographic areas.", | 97 | large geographic areas.", | ||
98 | "num_resources": 7, | 98 | "num_resources": 7, | ||
99 | "num_tags": 7, | 99 | "num_tags": 7, | ||
100 | "organization": { | 100 | "organization": { | ||
101 | "approval_status": "approved", | 101 | "approval_status": "approved", | ||
n | 102 | "created": "2016-05-24T16:15:21.861195", | n | 102 | "created": "2021-10-27T11:11:19.402891", |
103 | "description": "The WSL Institute for Snow and Avalanche Research | 103 | "description": "\"__Cutting edge remote sensing research and | ||
104 | SLF is an interdisciplinary research and service centre located in | 104 | technology for alpine regions__ - We strive to develop, test, combine | ||
105 | Davos Dorf. It forms part of the WSL \u2013 the Swiss Federal | 105 | and apply innovative solutions to detect, monitor and forecast natural | ||
106 | Institute for Forest, Snow and Landscape Research \u2013 and thus | 106 | hazards, aiming at safe mountains in a changing climate.\"\r\nClimate | ||
107 | belongs to the domain of the ETH (Swiss Federal Institutes of | 107 | change is having an increasing impact on the Alpine region and the | ||
108 | Technology). Its scientists conduct research on snow, the atmosphere, | 108 | potential for natural hazard processes in the high mountains is | ||
109 | natural hazards, permafrost and mountain ecological systems, and | 109 | rising. However, it is impossible to predict where extreme events will | ||
110 | develop innovative products that translate their knowledge into | 110 | occur, and complete protection of settlements and transport routes is | ||
111 | practical applications. The SLF seeks to engage in top-level research | 111 | technically and economically impossible.\r\n\r\nRemote sensing systems | ||
112 | while contributing to the resolution of urgent societal issues, for | 112 | on the ground, on drones, aircraft or satellites are increasingly | ||
113 | example in the fields of natural hazard warning systems and the | 113 | becoming an important tool in natural hazard research. They can be | ||
114 | analysis of climate and environmental change. \r\n\r\n__Further | 114 | used to accurately document events, continuously record changes, and | ||
115 | information__: https://www.slf.ch", | 115 | identify potential \"hotspots\" at an early stage. The combination of | ||
116 | "id": "a17b145f-2191-4c21-aabf-55661d5cb140", | 116 | optical and radar remote sensing systems has great potential to | ||
117 | "image_url": "2016-05-24-141521.837240logoslf.png", | 117 | increase the level of safety. The center is researching how such | ||
118 | systems can be optimally used in the future in high alpine terrain for | ||||
119 | the documentation, detection and prevention of natural | ||||
120 | hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the | ||||
121 | CERC research centre.", | ||||
122 | "id": "10cde33b-8da7-448a-b627-93e43d326154", | ||||
123 | "image_url": | ||||
124 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | ||||
118 | "is_organization": true, | 125 | "is_organization": true, | ||
n | 119 | "name": "slf", | n | 126 | "name": "alpine-remote-sensing", |
120 | "state": "active", | 127 | "state": "active", | ||
n | 121 | "title": "SLF", | n | 128 | "title": "Alpine Remote Sensing", |
122 | "type": "organization" | 129 | "type": "organization" | ||
123 | }, | 130 | }, | ||
t | 124 | "owner_org": "a17b145f-2191-4c21-aabf-55661d5cb140", | t | 131 | "owner_org": "10cde33b-8da7-448a-b627-93e43d326154", |
125 | "private": false, | 132 | "private": false, | ||
126 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | 133 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | ||
127 | \"EnviDat\"}", | 134 | \"EnviDat\"}", | ||
128 | "publication_state": "published", | 135 | "publication_state": "published", | ||
129 | "related_datasets": "", | 136 | "related_datasets": "", | ||
130 | "related_publications": "Eberhard, L. A., Sirguey, P., Miller, A., | 137 | "related_publications": "Eberhard, L. A., Sirguey, P., Miller, A., | ||
131 | Marty, M., Schindler, K., Stoffel, A., and B\u00fchler, Y.: | 138 | Marty, M., Schindler, K., Stoffel, A., and B\u00fchler, Y.: | ||
132 | Intercomparison of photogrammetric platforms for spatially continuous | 139 | Intercomparison of photogrammetric platforms for spatially continuous | ||
133 | snow depth mapping, The Cryosphere Discuss., | 140 | snow depth mapping, The Cryosphere Discuss., | ||
134 | https://doi.org/10.5194/tc-2020-93, accepted, 2020. ", | 141 | https://doi.org/10.5194/tc-2020-93, accepted, 2020. ", | ||
135 | "relationships_as_object": [], | 142 | "relationships_as_object": [], | ||
136 | "relationships_as_subject": [], | 143 | "relationships_as_subject": [], | ||
137 | "resource_type": "dataset", | 144 | "resource_type": "dataset", | ||
138 | "resource_type_general": "dataset", | 145 | "resource_type_general": "dataset", | ||
139 | "resources": [ | 146 | "resources": [ | ||
140 | { | 147 | { | ||
141 | "cache_last_updated": null, | 148 | "cache_last_updated": null, | ||
142 | "cache_url": null, | 149 | "cache_url": null, | ||
143 | "created": "2020-11-16T11:31:22.316465", | 150 | "created": "2020-11-16T11:31:22.316465", | ||
144 | "description": "This text file contains the average value for | 151 | "description": "This text file contains the average value for | ||
145 | each manual snow depth measurements and the measured value of the snow | 152 | each manual snow depth measurements and the measured value of the snow | ||
146 | pole measurements. The coordinates are in the horizontal Swiss | 153 | pole measurements. The coordinates are in the horizontal Swiss | ||
147 | coordinate system LV95. These values are used as reference measurement | 154 | coordinate system LV95. These values are used as reference measurement | ||
148 | for comparison 1 as descriped in the paper.", | 155 | for comparison 1 as descriped in the paper.", | ||
149 | "doi": "", | 156 | "doi": "", | ||
150 | "format": "TXT", | 157 | "format": "TXT", | ||
151 | "hash": "", | 158 | "hash": "", | ||
152 | "id": "1021ffa6-1311-45d3-a47d-61a0a18987cd", | 159 | "id": "1021ffa6-1311-45d3-a47d-61a0a18987cd", | ||
153 | "last_modified": "2020-11-16T11:31:22.074063", | 160 | "last_modified": "2020-11-16T11:31:22.074063", | ||
154 | "metadata_modified": "2021-03-10T05:33:17.467368", | 161 | "metadata_modified": "2021-03-10T05:33:17.467368", | ||
155 | "mimetype": null, | 162 | "mimetype": null, | ||
156 | "mimetype_inner": null, | 163 | "mimetype_inner": null, | ||
157 | "name": "Manual and snow pole measurements, Sch\u00fcrlialp, | 164 | "name": "Manual and snow pole measurements, Sch\u00fcrlialp, | ||
158 | Davos, Switzerland", | 165 | Davos, Switzerland", | ||
159 | "package_id": "a41c5b83-a803-4527-b6f9-4d365ef84228", | 166 | "package_id": "a41c5b83-a803-4527-b6f9-4d365ef84228", | ||
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165 | \"level\": \"same_organization\", \"shared_secret\": \"\"}", | 172 | \"level\": \"same_organization\", \"shared_secret\": \"\"}", | ||
166 | "size": 4150, | 173 | "size": 4150, | ||
167 | "state": "active", | 174 | "state": "active", | ||
168 | "url": | 175 | "url": | ||
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170 | "url_type": "upload" | 177 | "url_type": "upload" | ||
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175 | "created": "2020-11-14T20:09:10.831447", | 182 | "created": "2020-11-14T20:09:10.831447", | ||
176 | "description": "Resolution: 2 m\r\nCoordinate system: LV95 | 183 | "description": "Resolution: 2 m\r\nCoordinate system: LV95 | ||
177 | LHN95\r\n\u00a9 CNES 2018, Distribution Airbus DS", | 184 | LHN95\r\n\u00a9 CNES 2018, Distribution Airbus DS", | ||
178 | "doi": "", | 185 | "doi": "", | ||
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184 | "mimetype": null, | 191 | "mimetype": null, | ||
185 | "mimetype_inner": null, | 192 | "mimetype_inner": null, | ||
186 | "name": "Snow depth map satellite (Pl\u00e9iades), | 193 | "name": "Snow depth map satellite (Pl\u00e9iades), | ||
187 | Sch\u00fcrlialp, Davos, Switzerland", | 194 | Sch\u00fcrlialp, Davos, Switzerland", | ||
188 | "package_id": "a41c5b83-a803-4527-b6f9-4d365ef84228", | 195 | "package_id": "a41c5b83-a803-4527-b6f9-4d365ef84228", | ||
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194 | \"level\": \"same_organization\", \"shared_secret\": \"\"}", | 201 | \"level\": \"same_organization\", \"shared_secret\": \"\"}", | ||
195 | "size": 2662248, | 202 | "size": 2662248, | ||
196 | "state": "active", | 203 | "state": "active", | ||
197 | "url": | 204 | "url": | ||
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199 | "url_type": "upload" | 206 | "url_type": "upload" | ||
200 | }, | 207 | }, | ||
201 | { | 208 | { | ||
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204 | "created": "2020-11-13T18:30:26.906094", | 211 | "created": "2020-11-13T18:30:26.906094", | ||
205 | "description": "Resolution: 0.11 m\r\nCoordinate system: LV95 | 212 | "description": "Resolution: 0.11 m\r\nCoordinate system: LV95 | ||
206 | LHN95", | 213 | LHN95", | ||
207 | "doi": "", | 214 | "doi": "", | ||
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