Changes
On February 14, 2024 at 8:43:02 AM UTC, Dominique Weber:
-
Added resource Webcam-based reference data to Grassland-use intensity maps for Switzerland
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"validation\", \"curation\", \"software\", \"publication\"], | 4 | \"validation\", \"curation\", \"software\", \"publication\"], | ||
5 | \"email\": \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", | 5 | \"email\": \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", | ||
6 | \"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}, | 6 | \"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}, | ||
7 | {\"affiliation\": \"Johann Heinrich von Th\\u00fcnen-Institut\", | 7 | {\"affiliation\": \"Johann Heinrich von Th\\u00fcnen-Institut\", | ||
8 | \"affiliation_02\": \"Humboldt-Universit\\u00e4t zu Berlin\", | 8 | \"affiliation_02\": \"Humboldt-Universit\\u00e4t zu Berlin\", | ||
9 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 9 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
10 | \"validation\", \"curation\", \"software\", \"publication\"], | 10 | \"validation\", \"curation\", \"software\", \"publication\"], | ||
11 | \"email\": \"marcel.schwieder@thuenen.de\", \"given_name\": | 11 | \"email\": \"marcel.schwieder@thuenen.de\", \"given_name\": | ||
12 | \"Marcel\", \"identifier\": \"0000-0003-2103-8828\", \"name\": | 12 | \"Marcel\", \"identifier\": \"0000-0003-2103-8828\", \"name\": | ||
13 | \"Schwieder\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 13 | \"Schwieder\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
14 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | 14 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | ||
15 | \"software\", \"publication\"], \"email\": | 15 | \"software\", \"publication\"], \"email\": | ||
16 | \"lukas.ritter@hotmail.com\", \"given_name\": \"Lukas\", | 16 | \"lukas.ritter@hotmail.com\", \"given_name\": \"Lukas\", | ||
17 | \"identifier\": \"\", \"name\": \"Ritter\"}, {\"affiliation\": | 17 | \"identifier\": \"\", \"name\": \"Ritter\"}, {\"affiliation\": | ||
18 | \"WSL\", \"affiliation_02\": \"UZH\", \"affiliation_03\": \"\", | 18 | \"WSL\", \"affiliation_02\": \"UZH\", \"affiliation_03\": \"\", | ||
19 | \"data_credit\": [\"collection\", \"curation\", \"software\", | 19 | \"data_credit\": [\"collection\", \"curation\", \"software\", | ||
20 | \"publication\"], \"email\": \"tiziana.koch@wsl.ch\", \"given_name\": | 20 | \"publication\"], \"email\": \"tiziana.koch@wsl.ch\", \"given_name\": | ||
21 | \"Tiziana\", \"identifier\": \"\", \"name\": \"Koch\"}, | 21 | \"Tiziana\", \"identifier\": \"\", \"name\": \"Koch\"}, | ||
22 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 22 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
23 | \"affiliation_03\": \"\", \"data_credit\": \"publication\", \"email\": | 23 | \"affiliation_03\": \"\", \"data_credit\": \"publication\", \"email\": | ||
24 | \"achilleas.psomas@wsl.ch\", \"given_name\": \"Achilleas\", | 24 | \"achilleas.psomas@wsl.ch\", \"given_name\": \"Achilleas\", | ||
25 | \"identifier\": \"\", \"name\": \"Psomas\"}, {\"affiliation\": | 25 | \"identifier\": \"\", \"name\": \"Psomas\"}, {\"affiliation\": | ||
26 | \"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 26 | \"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
27 | \"data_credit\": [\"collection\", \"publication\"], \"email\": | 27 | \"data_credit\": [\"collection\", \"publication\"], \"email\": | ||
28 | \"nica.huber@wsl.ch\", \"given_name\": \"Nica\", \"identifier\": | 28 | \"nica.huber@wsl.ch\", \"given_name\": \"Nica\", \"identifier\": | ||
29 | \"0000-0001-5427-6836\", \"name\": \"Huber\"}, {\"affiliation\": | 29 | \"0000-0001-5427-6836\", \"name\": \"Huber\"}, {\"affiliation\": | ||
30 | \"Remote Sensing, Landscape Change Science, Swiss Federal Institute | 30 | \"Remote Sensing, Landscape Change Science, Swiss Federal Institute | ||
31 | for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, | 31 | for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, | ||
32 | Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 32 | Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
33 | \"data_credit\": [\"publication\", \"supervision\"], \"email\": | 33 | \"data_credit\": [\"publication\", \"supervision\"], \"email\": | ||
34 | \"christian.ginzler@wsl.ch\", \"given_name\": \"Christian\", | 34 | \"christian.ginzler@wsl.ch\", \"given_name\": \"Christian\", | ||
35 | \"identifier\": \"0000-0001-6365-2151\", \"name\": \"Ginzler\"}, | 35 | \"identifier\": \"0000-0001-6365-2151\", \"name\": \"Ginzler\"}, | ||
36 | {\"affiliation\": \"WSL Swiss Federal Research Institute, Birmensdorf, | 36 | {\"affiliation\": \"WSL Swiss Federal Research Institute, Birmensdorf, | ||
37 | Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 37 | Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
38 | \"data_credit\": [\"publication\", \"supervision\"], \"email\": | 38 | \"data_credit\": [\"publication\", \"supervision\"], \"email\": | ||
39 | \"steffen.boch@wsl.ch\", \"given_name\": \"Steffen\", \"identifier\": | 39 | \"steffen.boch@wsl.ch\", \"given_name\": \"Steffen\", \"identifier\": | ||
40 | \"0000-0003-2814-5343\", \"name\": \"Boch\"}]", | 40 | \"0000-0003-2814-5343\", \"name\": \"Boch\"}]", | ||
41 | "author_email": null, | 41 | "author_email": null, | ||
42 | "creator_user_id": "5db05298-9041-4bd9-a071-58aba8c58c20", | 42 | "creator_user_id": "5db05298-9041-4bd9-a071-58aba8c58c20", | ||
43 | "date": "[{\"date\": \"2018-01-01\", \"date_type\": \"collected\", | 43 | "date": "[{\"date\": \"2018-01-01\", \"date_type\": \"collected\", | ||
44 | \"end_date\": \"2021-12-31\"}]", | 44 | \"end_date\": \"2021-12-31\"}]", | ||
45 | "doi": "10.16904/envidat.428", | 45 | "doi": "10.16904/envidat.428", | ||
46 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | 46 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | ||
47 | \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": | 47 | \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": | ||
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52 | "language": "en", | 52 | "language": "en", | ||
53 | "license_id": "cc-by-sa", | 53 | "license_id": "cc-by-sa", | ||
54 | "license_title": "Creative Commons Attribution Share-Alike | 54 | "license_title": "Creative Commons Attribution Share-Alike | ||
55 | (CC-BY-SA)", | 55 | (CC-BY-SA)", | ||
56 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 56 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
57 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 57 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
58 | \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", | 58 | \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", | ||
59 | \"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}", | 59 | \"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}", | ||
60 | "maintainer_email": null, | 60 | "maintainer_email": null, | ||
61 | "metadata_created": "2023-08-02T08:50:55.801524", | 61 | "metadata_created": "2023-08-02T08:50:55.801524", | ||
n | 62 | "metadata_modified": "2024-02-14T08:39:02.089945", | n | 62 | "metadata_modified": "2024-02-14T08:43:02.690027", |
63 | "name": "grassland-use-intensity-maps-for-switzerland", | 63 | "name": "grassland-use-intensity-maps-for-switzerland", | ||
64 | "notes": "A rule-based algorithm [(Schwieder et al., | 64 | "notes": "A rule-based algorithm [(Schwieder et al., | ||
65 | 2022)](https://doi.org/10.1016/j.rse.2021.112795) was used to produce | 65 | 2022)](https://doi.org/10.1016/j.rse.2021.112795) was used to produce | ||
66 | annual maps for 2018\u20132021 of grassland-management events, i.e. | 66 | annual maps for 2018\u20132021 of grassland-management events, i.e. | ||
67 | mowing and/or grazing, for Switzerland using Sentinel-2 and Landsat 8 | 67 | mowing and/or grazing, for Switzerland using Sentinel-2 and Landsat 8 | ||
68 | satellite time series. All satellite images were processed with the | 68 | satellite time series. All satellite images were processed with the | ||
69 | [FORCE](https://force-eo.readthedocs.io) framework.\r\n\r\nThe | 69 | [FORCE](https://force-eo.readthedocs.io) framework.\r\n\r\nThe | ||
70 | resulting maps provide information on the number and timing of | 70 | resulting maps provide information on the number and timing of | ||
71 | grassland-management events at a spatial resolution of 10 m \u00d7 10 | 71 | grassland-management events at a spatial resolution of 10 m \u00d7 10 | ||
72 | m for the whole of Switzerland. For the final maps, permanent | 72 | m for the whole of Switzerland. For the final maps, permanent | ||
73 | grasslands were masked using a variety of land-use layers, according | 73 | grasslands were masked using a variety of land-use layers, according | ||
74 | to [Huber et al. (2022)](https://doi.org/10.1002/rse2.298) but | 74 | to [Huber et al. (2022)](https://doi.org/10.1002/rse2.298) but | ||
75 | replacing the crop mask with the agricultural-use data from the | 75 | replacing the crop mask with the agricultural-use data from the | ||
76 | cantons.\r\n\r\nWe assessed the detection of management events based | 76 | cantons.\r\n\r\nWe assessed the detection of management events based | ||
77 | on independent reference data, which we acquired from daily time | 77 | on independent reference data, which we acquired from daily time | ||
78 | series of publicly available webcams that are widely distributed | 78 | series of publicly available webcams that are widely distributed | ||
79 | across Switzerland. We further tested the ecological relevance of the | 79 | across Switzerland. We further tested the ecological relevance of the | ||
80 | generated intensity measures in relation to nationwide biodiversity | 80 | generated intensity measures in relation to nationwide biodiversity | ||
81 | data (see [Weber et al., | 81 | data (see [Weber et al., | ||
82 | 2023](https://doi.org/10.1002/rse2.372)).\r\n\r\nThe webcam-based | 82 | 2023](https://doi.org/10.1002/rse2.372)).\r\n\r\nThe webcam-based | ||
83 | reference data used for verification was subsequently added on | 83 | reference data used for verification was subsequently added on | ||
84 | 14.02.2024.", | 84 | 14.02.2024.", | ||
n | 85 | "num_resources": 7, | n | 85 | "num_resources": 8, |
86 | "num_tags": 8, | 86 | "num_tags": 8, | ||
87 | "organization": { | 87 | "organization": { | ||
88 | "approval_status": "approved", | 88 | "approval_status": "approved", | ||
89 | "created": "2017-04-20T16:51:21.920128", | 89 | "created": "2017-04-20T16:51:21.920128", | ||
90 | "description": "We develop and apply comprehensive and robust | 90 | "description": "We develop and apply comprehensive and robust | ||
91 | methods to extract and classify natural objects from continuous and | 91 | methods to extract and classify natural objects from continuous and | ||
92 | discrete raster datasets. Relevant features are acquired to describe | 92 | discrete raster datasets. Relevant features are acquired to describe | ||
93 | changes in landscape and land resources at different levels using | 93 | changes in landscape and land resources at different levels using | ||
94 | image data. Mathematical-statistical methods are adopted for automatic | 94 | image data. Mathematical-statistical methods are adopted for automatic | ||
95 | detection and description of image objects. Thus we contribute | 95 | detection and description of image objects. Thus we contribute | ||
96 | concepts, methods and data to describe/detect area wide changes and | 96 | concepts, methods and data to describe/detect area wide changes and | ||
97 | processes in the resources of landscape.\r\n\r\n### Tasks and main | 97 | processes in the resources of landscape.\r\n\r\n### Tasks and main | ||
98 | research\r\n\r\n* Development and application of methods to extract | 98 | research\r\n\r\n* Development and application of methods to extract | ||
99 | natural objects from continuous data.\r\n* Development of methods for | 99 | natural objects from continuous data.\r\n* Development of methods for | ||
100 | a comprehensive description of natural and anthropogenetic boundaries | 100 | a comprehensive description of natural and anthropogenetic boundaries | ||
101 | in continuous pattern (e.g. map signatures, vegetation transition, | 101 | in continuous pattern (e.g. map signatures, vegetation transition, | ||
102 | forest borders).\r\n* Development and application of methods to | 102 | forest borders).\r\n* Development and application of methods to | ||
103 | extract 3D-information from remotely sensed data for description of | 103 | extract 3D-information from remotely sensed data for description of | ||
104 | natural structures and changes. The main focus lies on wood and its | 104 | natural structures and changes. The main focus lies on wood and its | ||
105 | embedding/interaction within/with the landscape.\r\n* Conception and | 105 | embedding/interaction within/with the landscape.\r\n* Conception and | ||
106 | development of data acquisition based on high resolution remote | 106 | development of data acquisition based on high resolution remote | ||
107 | sensing data.\r\n* Conception, development and maintenance of the | 107 | sensing data.\r\n* Conception, development and maintenance of the | ||
108 | software interface in area wide data acquisition using airborne remote | 108 | software interface in area wide data acquisition using airborne remote | ||
109 | sensing data.\r\n* Scientific expert advice and support in the fields | 109 | sensing data.\r\n* Scientific expert advice and support in the fields | ||
110 | of photogrammetry and survey at WSL. Maintenance, enhancements and | 110 | of photogrammetry and survey at WSL. Maintenance, enhancements and | ||
111 | future development in these specific fields.\r\n* Adequate | 111 | future development in these specific fields.\r\n* Adequate | ||
112 | presentation of scientific results on national level and in noted | 112 | presentation of scientific results on national level and in noted | ||
113 | international journals and at international | 113 | international journals and at international | ||
114 | congresses/workshops/symposia.\r\n\r\n__Further information__: | 114 | congresses/workshops/symposia.\r\n\r\n__Further information__: | ||
115 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | 115 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | ||
116 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 116 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
117 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | 117 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | ||
118 | "is_organization": true, | 118 | "is_organization": true, | ||
119 | "name": "remote-sensing", | 119 | "name": "remote-sensing", | ||
120 | "state": "active", | 120 | "state": "active", | ||
121 | "title": "Remote Sensing", | 121 | "title": "Remote Sensing", | ||
122 | "type": "organization" | 122 | "type": "organization" | ||
123 | }, | 123 | }, | ||
124 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 124 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
125 | "private": false, | 125 | "private": false, | ||
126 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 126 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
127 | \"EnviDat\"}", | 127 | \"EnviDat\"}", | ||
128 | "publication_state": "published", | 128 | "publication_state": "published", | ||
129 | "related_datasets": "Huber, N., Ginzler, C., Paz\u00far, R., | 129 | "related_datasets": "Huber, N., Ginzler, C., Paz\u00far, R., | ||
130 | Descombes, P., Baltensweiler, A., Ecker, K., Meier, E., Price, B. | 130 | Descombes, P., Baltensweiler, A., Ecker, K., Meier, E., Price, B. | ||
131 | (2022). Distribution maps of permanent grassland habitats for | 131 | (2022). Distribution maps of permanent grassland habitats for | ||
132 | Switzerland. EnviDat. [doi: 10.16904/envidat.341 | 132 | Switzerland. EnviDat. [doi: 10.16904/envidat.341 | ||
133 | ](https://www.doi.org/10.16904/envidat.341)", | 133 | ](https://www.doi.org/10.16904/envidat.341)", | ||
134 | "related_publications": "Weber, D., Schwieder, M., Ritter, L., Koch, | 134 | "related_publications": "Weber, D., Schwieder, M., Ritter, L., Koch, | ||
135 | T., Psomas, A., Huber, N., Ginzler, C. and Boch, S. (2023), | 135 | T., Psomas, A., Huber, N., Ginzler, C. and Boch, S. (2023), | ||
136 | Grassland-use intensity maps for Switzerland based on satellite time | 136 | Grassland-use intensity maps for Switzerland based on satellite time | ||
137 | series: Challenges and opportunities for ecological applications. | 137 | series: Challenges and opportunities for ecological applications. | ||
138 | Remote Sens Ecol Conserv. | 138 | Remote Sens Ecol Conserv. | ||
139 | [doi:10.1002/rse2.372](https://doi.org/10.1002/rse2.372)", | 139 | [doi:10.1002/rse2.372](https://doi.org/10.1002/rse2.372)", | ||
140 | "relationships_as_object": [], | 140 | "relationships_as_object": [], | ||
141 | "relationships_as_subject": [], | 141 | "relationships_as_subject": [], | ||
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143 | "resource_type_general": "dataset", | 143 | "resource_type_general": "dataset", | ||
144 | "resources": [ | 144 | "resources": [ | ||
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148 | "created": "2023-08-03T08:23:21.778777", | 148 | "created": "2023-08-03T08:23:21.778777", | ||
149 | "description": "Spatial distribution of the number of management | 149 | "description": "Spatial distribution of the number of management | ||
150 | events for Switzerland and for three zoomed-in regions (a, b, c). The | 150 | events for Switzerland and for three zoomed-in regions (a, b, c). The | ||
151 | three zoomed-in regions show different grassland-use intensities, | 151 | three zoomed-in regions show different grassland-use intensities, | ||
152 | which are reflected in the distribution of management frequency (Weber | 152 | which are reflected in the distribution of management frequency (Weber | ||
153 | et al., 2023; IN REVIEW)", | 153 | et al., 2023; IN REVIEW)", | ||
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181 | "description": "Spatial distribution of the timing (day of year; | 181 | "description": "Spatial distribution of the timing (day of year; | ||
182 | DOY) of the first management event for Switzerland and for three | 182 | DOY) of the first management event for Switzerland and for three | ||
183 | zoomed-in regions (a, b, c). The three zoomed-in regions show | 183 | zoomed-in regions (a, b, c). The three zoomed-in regions show | ||
184 | different grassland-use intensities, which are reflected in the timing | 184 | different grassland-use intensities, which are reflected in the timing | ||
185 | of the first event of the year (Weber et al., 2023; IN REVIEW)", | 185 | of the first event of the year (Weber et al., 2023; IN REVIEW)", | ||
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