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  "author": "[{\"given_name\": \"Michael\", \"name\": \"Nobis\", 
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  "author": "[{\"given_name\": \"Michael\", \"name\": \"Nobis\", 
            
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\"email\": \"michael.nobis@wsl.ch\", \"data_credit\": [], 
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\"email\": \"michael.nobis@wsl.ch\", \"data_credit\": [], 
            
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\"identifier\": \"0000-0003-3285-1590\", \"affiliation\": \"Dynamic 
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\"identifier\": \"0000-0003-3285-1590\", \"affiliation\": \"Dynamic 
            
5
Macroecology, Landscape Change Science, Swiss Federal Institute for 
5
Macroecology, Landscape Change Science, Swiss Federal Institute for 
            
6
Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, 
6
Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, 
            
7
Switzerland\"}, {\"given_name\": \"Christoph\", \"name\": \"Mayer\", 
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Switzerland\"}, {\"given_name\": \"Christoph\", \"name\": \"Mayer\", 
            
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\"email\": \"christoph.mayer@vision.ee.ethz.ch\", \"data_credit\": [], 
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\"email\": \"christoph.mayer@vision.ee.ethz.ch\", \"data_credit\": [], 
            
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\"identifier\": \"\", \"affiliation\": \"ETH Zurich, Computer Vision 
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\"identifier\": \"\", \"affiliation\": \"ETH Zurich, Computer Vision 
            
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Lab\"}, {\"given_name\": \"Christian\", \"name\": \"Ginzler\", 
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Lab\"}, {\"given_name\": \"Christian\", \"name\": \"Ginzler\", 
            
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\"email\": \"christian.ginzler@wsl.ch\", \"data_credit\": [], 
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\"email\": \"christian.ginzler@wsl.ch\", \"data_credit\": [], 
            
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\"identifier\": \"0000-0001-6365-2151\", \"affiliation\": \"Remote 
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\"identifier\": \"0000-0001-6365-2151\", \"affiliation\": \"Remote 
            
13
Sensing, Landscape Change Science, Swiss Federal Institute for Forest, 
13
Sensing, Landscape Change Science, Swiss Federal Institute for Forest, 
            
14
Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland\"}, 
14
Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland\"}, 
            
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{\"given_name\": \"Radu\", \"name\": \"Timofte\", \"email\": 
15
{\"given_name\": \"Radu\", \"name\": \"Timofte\", \"email\": 
            
16
\"radu.timofte@uni-wuerzburg.de\", \"data_credit\": [], 
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\"radu.timofte@uni-wuerzburg.de\", \"data_credit\": [], 
            
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\"identifier\": \"\", \"affiliation\": \"ETH Zurich, Computer Vision 
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\"identifier\": \"\", \"affiliation\": \"ETH Zurich, Computer Vision 
            
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Lab\"}]",
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Lab\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "208eb3d8-928e-4a27-a844-61adc1d3c3e0",
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  "creator_user_id": "208eb3d8-928e-4a27-a844-61adc1d3c3e0",
            
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  "date": 
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  "date": 
            
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:\"collected\",\"date\":\"2019-05-27\",\"end_date\":\"2019-10-30\"}]",
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:\"collected\",\"date\":\"2019-05-27\",\"end_date\":\"2019-10-30\"}]",
            
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  "doi": "10.16904/envidat.561",
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  "doi": "10.16904/envidat.561",
            
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  "funding": "[{\"institution\":\"Federal Roads Office (FEDRO) 
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  "funding": "[{\"institution\":\"Federal Roads Office (FEDRO) 
            
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\",\"grant_number\":\"VSS 
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\",\"grant_number\":\"VSS 
            
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nstitution_url\":\"https://www.astra.admin.ch/astra/en/home.html\"}]",
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nstitution_url\":\"https://www.astra.admin.ch/astra/en/home.html\"}]",
            
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  "isopen": true,
            
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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/",
            
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  "maintainer": 
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  "maintainer": 
            
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ichael.nobis@wsl.ch\",\"given_name\":\"Michael\",\"name\":\"Nobis\"}",
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ichael.nobis@wsl.ch\",\"given_name\":\"Michael\",\"name\":\"Nobis\"}",
            
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  "metadata_created": "2024-11-18T16:08:21.232903",
            
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  "metadata_modified": "2024-11-29T15:19:11.666011",
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  "metadata_modified": "2024-12-03T14:08:10.829512",
            
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  "name": 
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  "name": 
            
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"automated-detection-of-invasive-alien-plants-along-highways",
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"automated-detection-of-invasive-alien-plants-along-highways",
            
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  "notes": "Transport infrastructure such as **highways** are 
41
  "notes": "Transport infrastructure such as **highways** are 
            
42
important corridors for the spread of invasive species. In this 
42
important corridors for the spread of invasive species. In this 
            
43
project, an automated detection and mapping of **two invasive alien 
43
project, an automated detection and mapping of **two invasive alien 
            
44
plant species**  was developed and applied along highways in the 
44
plant species**  was developed and applied along highways in the 
            
45
**Swiss Central Plateau**, based on **artificial intelligence (AI, 
45
**Swiss Central Plateau**, based on **artificial intelligence (AI, 
            
46
Deep Learning)**. The two target species are **tree of heaven 
46
Deep Learning)**. The two target species are **tree of heaven 
            
47
*(Ailanthus altissima)*** and **narrow-leaved ragwort *(Senecio 
47
*(Ailanthus altissima)*** and **narrow-leaved ragwort *(Senecio 
            
48
inaequidens)***. \n\nThe data is part of the project report and shows 
48
inaequidens)***. \n\nThe data is part of the project report and shows 
            
49
the mapping results in **interactive maps**. Technically speaking, 
49
the mapping results in **interactive maps**. Technically speaking, 
            
50
these are **self-contained HTML files** that can be displayed with 
50
these are **self-contained HTML files** that can be displayed with 
            
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standard web browsers. To reduce the file size, the downloads are 
51
standard web browsers. To reduce the file size, the downloads are 
            
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provided in zip format. \n\n**Report**: 
52
provided in zip format. \n\n**Report**: 
            
53
obilityplatform.ch/de/research-data-shop/product/1690)\n\n**Project**: 
53
obilityplatform.ch/de/research-data-shop/product/1690)\n\n**Project**: 
            
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ojects/automated-detection-of-invasive-alien-plants-along-highways/)",
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ojects/automated-detection-of-invasive-alien-plants-along-highways/)",
            
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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": "2018-05-31T14:24:18.890912",
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    "created": "2018-05-31T14:24:18.890912",
            
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    "description": "The dynamic macroecology group studies different 
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    "description": "The dynamic macroecology group studies different 
            
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aspects of ecology on large spatial and temporal scales, from the 
61
aspects of ecology on large spatial and temporal scales, from the 
            
62
Pleistocene to the Anthropocene, related to the question: \u201cHow do 
62
Pleistocene to the Anthropocene, related to the question: \u201cHow do 
            
63
species and their traits change in space and time, particularly with 
63
species and their traits change in space and time, particularly with 
            
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global change?\u201d",
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global change?\u201d",
            
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    "is_organization": true,
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    "name": "dynamic-macroecology",
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    "name": "dynamic-macroecology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Dynamic Macroecology",
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    "title": "Dynamic Macroecology",
            
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    "type": "organization"
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    "type": "organization"
            
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  "publication": 
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  "publication": 
            
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"{\"publisher\":\"EnviDat\",\"publication_year\":\"2020\"}",
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"{\"publisher\":\"EnviDat\",\"publication_year\":\"2020\"}",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "\n wsl:38256",
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  "related_publications": "\n wsl:38256\n wsl:38258",
            
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      "description": "Detected occurrences of Ailanthus altissima 
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      "description": "Detected occurrences of Ailanthus altissima 
            
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along highways on the Swiss Plateau. To reduce false-positives, only 
90
along highways on the Swiss Plateau. To reduce false-positives, only 
            
91
images in which the species was recognized in at least three of 16 
91
images in which the species was recognized in at least three of 16 
            
92
image tiles are considered as occurrences (Fig. 38 in the report). 
92
image tiles are considered as occurrences (Fig. 38 in the report). 
            
93
Image coordinates of the middle and side strips can be displayed 
93
Image coordinates of the middle and side strips can be displayed 
            
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separately in the interactive map.",
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separately in the interactive map.",
            
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      "description": "Detected occurrences of Ailanthus altissima 
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      "description": "Detected occurrences of Ailanthus altissima 
            
121
along highways on the Swiss Plateau. The number of image tiles in 
121
along highways on the Swiss Plateau. The number of image tiles in 
            
122
which the species was recognized is shown (Fig. 23 in the report). 
122
which the species was recognized is shown (Fig. 23 in the report). 
            
123
Image coordinates of the middle and side strips can be displayed 
123
Image coordinates of the middle and side strips can be displayed 
            
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separately in the interactive map.",
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      "description": "Detected occurrences of Senecio inaequidens 
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      "description": "Detected occurrences of Senecio inaequidens 
            
151
along highways on the Swiss Plateau. To reduce false-positives, only 
151
along highways on the Swiss Plateau. To reduce false-positives, only 
            
152
images in which the species was recognized in at least three of 16 
152
images in which the species was recognized in at least three of 16 
            
153
image tiles are considered as occurrences (Fig. 40 in the report). 
153
image tiles are considered as occurrences (Fig. 40 in the report). 
            
154
Image coordinates of the middle and side strips can be displayed 
154
Image coordinates of the middle and side strips can be displayed 
            
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separately in the interactive map.",
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separately in the interactive map.",
            
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which the species was recognized is shown (Fig. 25 in the report). 
183
which the species was recognized is shown (Fig. 25 in the report). 
            
184
Image coordinates of the middle and side strips can be displayed 
184
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      "name": "INVASIVE SPECIES",
            
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  ],
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  "title": "Automated detection of invasive alien plants along 
256
  "title": "Automated detection of invasive alien plants along 
            
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highways",
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highways",
            
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}
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}