Changes
On August 3, 2023 at 10:49:47 AM UTC, Dominique Weber:
-
Updated description of resource Preview time of 1st grassland management event 2020 in Grassland-use intensity maps for Switzerland from
Weber et al., 2023; IN REVIEW
toSpatial distribution of the timing (day of year; DOY) of the first management event for Switzerland and for three zoomed-in regions (a, b, c). The three zoomed-in regions show different grassland-use intensities, which are reflected in the timing of the first event of the year (Weber et al., 2023; IN REVIEW)
-
Changed value of field
resource_size
of resource Preview time of 1st grassland management event 2020 to{"size_units": "kb", "size_value": ""}
(previously{"size_value": "", "size_units": "kb"}
) in Grassland-use intensity maps for Switzerland -
Changed value of field
restricted
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) in Grassland-use intensity maps for Switzerland
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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, | ||
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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, | ||
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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", | ||
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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": "2023-08-03T10:48:24.694494", | n | 62 | "metadata_modified": "2023-08-03T10:49:47.430501", |
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., 2023; IN REVIEW).", | 81 | data (see Weber et al., 2023; IN REVIEW).", | ||
82 | "num_resources": 7, | 82 | "num_resources": 7, | ||
83 | "num_tags": 8, | 83 | "num_tags": 8, | ||
84 | "organization": { | 84 | "organization": { | ||
85 | "approval_status": "approved", | 85 | "approval_status": "approved", | ||
86 | "created": "2017-04-20T16:51:21.920128", | 86 | "created": "2017-04-20T16:51:21.920128", | ||
87 | "description": "We develop and apply comprehensive and robust | 87 | "description": "We develop and apply comprehensive and robust | ||
88 | methods to extract and classify natural objects from continuous and | 88 | methods to extract and classify natural objects from continuous and | ||
89 | discrete raster datasets. Relevant features are acquired to describe | 89 | discrete raster datasets. Relevant features are acquired to describe | ||
90 | changes in landscape and land resources at different levels using | 90 | changes in landscape and land resources at different levels using | ||
91 | image data. Mathematical-statistical methods are adopted for automatic | 91 | image data. Mathematical-statistical methods are adopted for automatic | ||
92 | detection and description of image objects. Thus we contribute | 92 | detection and description of image objects. Thus we contribute | ||
93 | concepts, methods and data to describe/detect area wide changes and | 93 | concepts, methods and data to describe/detect area wide changes and | ||
94 | processes in the resources of landscape.\r\n\r\n### Tasks and main | 94 | processes in the resources of landscape.\r\n\r\n### Tasks and main | ||
95 | research\r\n\r\n* Development and application of methods to extract | 95 | research\r\n\r\n* Development and application of methods to extract | ||
96 | natural objects from continuous data.\r\n* Development of methods for | 96 | natural objects from continuous data.\r\n* Development of methods for | ||
97 | a comprehensive description of natural and anthropogenetic boundaries | 97 | a comprehensive description of natural and anthropogenetic boundaries | ||
98 | in continuous pattern (e.g. map signatures, vegetation transition, | 98 | in continuous pattern (e.g. map signatures, vegetation transition, | ||
99 | forest borders).\r\n* Development and application of methods to | 99 | forest borders).\r\n* Development and application of methods to | ||
100 | extract 3D-information from remotely sensed data for description of | 100 | extract 3D-information from remotely sensed data for description of | ||
101 | natural structures and changes. The main focus lies on wood and its | 101 | natural structures and changes. The main focus lies on wood and its | ||
102 | embedding/interaction within/with the landscape.\r\n* Conception and | 102 | embedding/interaction within/with the landscape.\r\n* Conception and | ||
103 | development of data acquisition based on high resolution remote | 103 | development of data acquisition based on high resolution remote | ||
104 | sensing data.\r\n* Conception, development and maintenance of the | 104 | sensing data.\r\n* Conception, development and maintenance of the | ||
105 | software interface in area wide data acquisition using airborne remote | 105 | software interface in area wide data acquisition using airborne remote | ||
106 | sensing data.\r\n* Scientific expert advice and support in the fields | 106 | sensing data.\r\n* Scientific expert advice and support in the fields | ||
107 | of photogrammetry and survey at WSL. Maintenance, enhancements and | 107 | of photogrammetry and survey at WSL. Maintenance, enhancements and | ||
108 | future development in these specific fields.\r\n* Adequate | 108 | future development in these specific fields.\r\n* Adequate | ||
109 | presentation of scientific results on national level and in noted | 109 | presentation of scientific results on national level and in noted | ||
110 | international journals and at international | 110 | international journals and at international | ||
111 | congresses/workshops/symposia.\r\n\r\n__Further information__: | 111 | congresses/workshops/symposia.\r\n\r\n__Further information__: | ||
112 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | 112 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | ||
113 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 113 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
114 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | 114 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | ||
115 | "is_organization": true, | 115 | "is_organization": true, | ||
116 | "name": "remote-sensing", | 116 | "name": "remote-sensing", | ||
117 | "state": "active", | 117 | "state": "active", | ||
118 | "title": "Remote Sensing", | 118 | "title": "Remote Sensing", | ||
119 | "type": "organization" | 119 | "type": "organization" | ||
120 | }, | 120 | }, | ||
121 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 121 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
122 | "private": false, | 122 | "private": false, | ||
123 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 123 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
124 | \"EnviDat\"}", | 124 | \"EnviDat\"}", | ||
125 | "publication_state": "pub_pending", | 125 | "publication_state": "pub_pending", | ||
126 | "related_datasets": "Huber, N., Ginzler, C., Paz\u00far, R., | 126 | "related_datasets": "Huber, N., Ginzler, C., Paz\u00far, R., | ||
127 | Descombes, P., Baltensweiler, A., Ecker, K., Meier, E., Price, B. | 127 | Descombes, P., Baltensweiler, A., Ecker, K., Meier, E., Price, B. | ||
128 | (2022). Distribution maps of permanent grassland habitats for | 128 | (2022). Distribution maps of permanent grassland habitats for | ||
129 | Switzerland. EnviDat. [doi: 10.16904/envidat.341 | 129 | Switzerland. EnviDat. [doi: 10.16904/envidat.341 | ||
130 | ](https://www.doi.org/10.16904/envidat.341)", | 130 | ](https://www.doi.org/10.16904/envidat.341)", | ||
131 | "related_publications": "Weber et al., 2023; IN REVIEW", | 131 | "related_publications": "Weber et al., 2023; IN REVIEW", | ||
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170 | DOY) of the first management event for Switzerland and for three | ||||
171 | zoomed-in regions (a, b, c). The three zoomed-in regions show | ||||
172 | different grassland-use intensities, which are reflected in the timing | ||||
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196 | "created": "2023-08-02T11:56:12.624787", | 200 | "created": "2023-08-02T11:56:12.624787", | ||
197 | "description": "Raster stack with information on the number and | 201 | "description": "Raster stack with information on the number and | ||
198 | timing of grassland-management events (i.e. mowing, grazing) at a | 202 | timing of grassland-management events (i.e. mowing, grazing) at a | ||
199 | spatial resolution of 10 m \u00d7 10 m for the whole of Switzerland | 203 | spatial resolution of 10 m \u00d7 10 m for the whole of Switzerland | ||
200 | for 2018. See readme file for more details.", | 204 | for 2018. See readme file for more details.", | ||
201 | "doi": "", | 205 | "doi": "", | ||
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