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  "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"validation\", \"curation\", \"software\", \"publication\"], 
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\"validation\", \"curation\", \"software\", \"publication\"], 
            
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\"email\": \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", 
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\"email\": \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", 
            
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\"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}, 
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\"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}, 
            
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{\"affiliation\": \"Johann Heinrich von Th\\u00fcnen-Institut\", 
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{\"affiliation\": \"Johann Heinrich von Th\\u00fcnen-Institut\", 
            
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\"affiliation_02\": \"Humboldt-Universit\\u00e4t zu Berlin\", 
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\"affiliation_02\": \"Humboldt-Universit\\u00e4t zu Berlin\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"software\", \"publication\"], 
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\"email\": \"marcel.schwieder@thuenen.de\", \"given_name\": 
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\"email\": \"marcel.schwieder@thuenen.de\", \"given_name\": 
            
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\"Marcel\", \"identifier\": \"0000-0003-2103-8828\", \"name\": 
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\"Marcel\", \"identifier\": \"0000-0003-2103-8828\", \"name\": 
            
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\"Schwieder\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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\"Schwieder\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"validation\", 
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\"affiliation_03\": \"\", \"data_credit\": [\"validation\", 
            
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\"software\", \"publication\"], \"email\": 
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\"software\", \"publication\"], \"email\": 
            
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\"lukas.ritter@hotmail.com\", \"given_name\": \"Lukas\", 
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\"lukas.ritter@hotmail.com\", \"given_name\": \"Lukas\", 
            
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\"identifier\": \"\", \"name\": \"Ritter\"}, {\"affiliation\": 
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\"identifier\": \"\", \"name\": \"Ritter\"}, {\"affiliation\": 
            
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\"WSL\", \"affiliation_02\": \"UZH\", \"affiliation_03\": \"\", 
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\"WSL\", \"affiliation_02\": \"UZH\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"collection\", \"curation\", \"software\", 
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\"data_credit\": [\"collection\", \"curation\", \"software\", 
            
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\"publication\"], \"email\": \"tiziana.koch@wsl.ch\", \"given_name\": 
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\"publication\"], \"email\": \"tiziana.koch@wsl.ch\", \"given_name\": 
            
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\"Tiziana\", \"identifier\": \"\", \"name\": \"Koch\"}, 
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\"Tiziana\", \"identifier\": \"\", \"name\": \"Koch\"}, 
            
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": \"publication\", \"email\": 
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\"affiliation_03\": \"\", \"data_credit\": \"publication\", \"email\": 
            
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\"achilleas.psomas@wsl.ch\", \"given_name\": \"Achilleas\", 
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\"achilleas.psomas@wsl.ch\", \"given_name\": \"Achilleas\", 
            
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\"identifier\": \"\", \"name\": \"Psomas\"}, {\"affiliation\": 
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\"identifier\": \"\", \"name\": \"Psomas\"}, {\"affiliation\": 
            
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\"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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\"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"collection\", \"publication\"], \"email\": 
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\"data_credit\": [\"collection\", \"publication\"], \"email\": 
            
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\"nica.huber@wsl.ch\", \"given_name\": \"Nica\", \"identifier\": 
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\"nica.huber@wsl.ch\", \"given_name\": \"Nica\", \"identifier\": 
            
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\"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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Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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Switzerland\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"publication\", \"supervision\"], \"email\": 
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\"data_credit\": [\"publication\", \"supervision\"], \"email\": 
            
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\"christian.ginzler@wsl.ch\", \"given_name\": \"Christian\", 
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\"christian.ginzler@wsl.ch\", \"given_name\": \"Christian\", 
            
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\"identifier\": \"0000-0001-6365-2151\", \"name\": \"Ginzler\"}, 
35
\"identifier\": \"0000-0001-6365-2151\", \"name\": \"Ginzler\"}, 
            
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{\"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\": \"\", 
            
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\"data_credit\": [\"publication\", \"supervision\"], \"email\": 
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\"data_credit\": [\"publication\", \"supervision\"], \"email\": 
            
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\"steffen.boch@wsl.ch\", \"given_name\": \"Steffen\", \"identifier\": 
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\"steffen.boch@wsl.ch\", \"given_name\": \"Steffen\", \"identifier\": 
            
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\"0000-0003-2814-5343\", \"name\": \"Boch\"}]",
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\"0000-0003-2814-5343\", \"name\": \"Boch\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "5db05298-9041-4bd9-a071-58aba8c58c20",
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  "creator_user_id": "5db05298-9041-4bd9-a071-58aba8c58c20",
            
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  "date": "[{\"date\": \"2018-01-01\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2018-01-01\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2021-12-31\"}]",
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\"end_date\": \"2021-12-31\"}]",
            
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  "doi": "10.16904/envidat.428",
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  "doi": "10.16904/envidat.428",
            
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", 
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", 
            
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\"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": 
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\"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": 
            
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\"FOEN\", \"institution_url\": \"\"}]",
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\"FOEN\", \"institution_url\": \"\"}]",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "889019e0-7c66-406c-a061-b2e4ab96e5ad",
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  "id": "889019e0-7c66-406c-a061-b2e4ab96e5ad",
            
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  "isopen": true,
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  "isopen": true,
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "cc-by-sa",
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike 
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  "license_title": "Creative Commons Attribution Share-Alike 
            
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(CC-BY-SA)",
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(CC-BY-SA)",
            
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
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  "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\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-08-02T08:50:55.801524",
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  "metadata_created": "2023-08-02T08:50:55.801524",
            
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  "metadata_modified": "2023-08-03T10:50:20.232611",
n
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  "metadata_modified": "2023-08-03T10:50:59.660249",
            
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 
            
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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 
            
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resulting maps provide information on the number and timing of 
70
resulting maps provide information on the number and timing of 
            
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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 
            
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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 
            
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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 
            
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data (see Weber et al., 2023; IN REVIEW).",
81
data (see Weber et al., 2023; IN REVIEW).",
            
82
  "num_resources": 7,
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  "num_resources": 7,
            
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  "num_tags": 8,
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  "num_tags": 8,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2017-04-20T16:51:21.920128",
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    "created": "2017-04-20T16:51:21.920128",
            
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    "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 
            
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embedding/interaction within/with the landscape.\r\n* Conception and 
102
embedding/interaction within/with the landscape.\r\n* Conception and 
            
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development of data acquisition based on high resolution remote 
103
development of data acquisition based on high resolution remote 
            
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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",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "remote-sensing",
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    "name": "remote-sensing",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Remote Sensing",
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    "title": "Remote Sensing",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9",
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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  "publication_state": "pub_pending",
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  "publication_state": "pub_pending",
            
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  "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)",
            
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  "related_publications": "Weber et al., 2023; IN REVIEW",
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  "related_publications": "Weber et al., 2023; IN REVIEW",
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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  "resource_type_general": "dataset",
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  "resource_type_general": "dataset",
            
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      "created": "2023-08-03T08:23:21.778777",
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      "created": "2023-08-03T08:23:21.778777",
            
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      "description": "Weber et al., 2023; IN REVIEW",
n
141
      "description": "Spatial distribution of the number of management 
            
142
events for Switzerland and for three zoomed-in regions (a, b, c). The 
            
143
three zoomed-in regions show different grassland-use intensities, 
            
144
which are reflected in the distribution of management frequency (Weber 
            
145
et al., 2023; IN REVIEW)",
            
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      "doi": "",
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      "doi": "",
            
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      "format": "PNG",
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      "last_modified": "2023-08-03T10:50:19.793851",
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