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Snow and Landscape Research WSL \", \"affiliation_02\": \"\", 
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Snow and Landscape Research WSL \", \"affiliation_02\": \"\", 
            
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Forest, Snow and Landscape Research WSL \", \"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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  "name": "vegetation-height-model-nfi",
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  "name": "vegetation-height-model-nfi",
            
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  "notes": "A national vegetation height model was calculated for 
36
  "notes": "A national vegetation height model was calculated for 
            
37
Switzerland using digital aerial images.\r\nWe used the stereo aerial 
37
Switzerland using digital aerial images.\r\nWe used the stereo aerial 
            
38
images acquired by the Federal Office of Topography swisstopo using 
38
images acquired by the Federal Office of Topography swisstopo using 
            
39
the ADS80 sensor to first calculate a digital\r\nsurface model (DSM) 
39
the ADS80 sensor to first calculate a digital\r\nsurface model (DSM) 
            
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with a very high spatial resolution\r\n(1 \u00d7 1 m). The DSM was 
40
with a very high spatial resolution\r\n(1 \u00d7 1 m). The DSM was 
            
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then normalized to obtain the actual\r\nvegetation heights using a 
41
then normalized to obtain the actual\r\nvegetation heights using a 
            
42
digital terrain model (DTM)\r\nbased on laser data with the buildings 
42
digital terrain model (DTM)\r\nbased on laser data with the buildings 
            
43
masked out, and to\r\nproduce a vegetation height model (VHM). Such a 
43
masked out, and to\r\nproduce a vegetation height model (VHM). Such a 
            
44
model\r\nwill be calculated in the framework of the Swiss National 
44
model\r\nwill be calculated in the framework of the Swiss National 
            
45
Forest Inventory (NFI) with consistent methods and a very\r\nhigh 
45
Forest Inventory (NFI) with consistent methods and a very\r\nhigh 
            
46
level of detail. For covering the whole of Switzerland,\r\nwe use 
46
level of detail. For covering the whole of Switzerland,\r\nwe use 
            
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summer aerial images from six years.",
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summer aerial images from six years.",
            
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  "organization": {
            
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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 
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    "description": "We develop and apply comprehensive and robust 
            
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methods to extract and classify natural objects from continuous and 
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methods to extract and classify natural objects from continuous and 
            
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discrete raster datasets. Relevant features are acquired to describe 
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discrete raster datasets. Relevant features are acquired to describe 
            
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changes in landscape and land resources at different levels using 
56
changes in landscape and land resources at different levels using 
            
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image data. Mathematical-statistical methods are adopted for automatic 
57
image data. Mathematical-statistical methods are adopted for automatic 
            
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detection and description of image objects. Thus we contribute 
58
detection and description of image objects. Thus we contribute 
            
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concepts, methods and data to describe/detect area wide changes and 
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concepts, methods and data to describe/detect area wide changes and 
            
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processes in the resources of landscape.\r\n\r\n### Tasks and main 
60
processes in the resources of landscape.\r\n\r\n### Tasks and main 
            
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research\r\n\r\n* Development and application of methods to extract 
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research\r\n\r\n* Development and application of methods to extract 
            
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natural objects from continuous data.\r\n* Development of methods for 
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natural objects from continuous data.\r\n* Development of methods for 
            
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a comprehensive description of natural and anthropogenetic boundaries 
63
a comprehensive description of natural and anthropogenetic boundaries 
            
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in continuous pattern (e.g. map signatures, vegetation transition, 
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in continuous pattern (e.g. map signatures, vegetation transition, 
            
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forest borders).\r\n* Development and application of methods to 
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forest borders).\r\n* Development and application of methods to 
            
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extract 3D-information from remotely sensed data for description of 
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extract 3D-information from remotely sensed data for description of 
            
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natural structures and changes. The main focus lies on wood and its 
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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 
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embedding/interaction within/with the landscape.\r\n* Conception and 
            
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development of data acquisition based on high resolution remote 
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development of data acquisition based on high resolution remote 
            
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sensing data.\r\n* Conception, development and maintenance of the 
70
sensing data.\r\n* Conception, development and maintenance of the 
            
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software interface in area wide data acquisition using airborne remote 
71
software interface in area wide data acquisition using airborne remote 
            
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sensing data.\r\n* Scientific expert advice and support in the fields 
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sensing data.\r\n* Scientific expert advice and support in the fields 
            
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of photogrammetry and survey at WSL. Maintenance, enhancements and 
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of photogrammetry and survey at WSL. Maintenance, enhancements and 
            
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future development in these specific fields.\r\n* Adequate 
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future development in these specific fields.\r\n* Adequate 
            
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presentation of scientific results on national level and in noted 
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presentation of scientific results on national level and in noted 
            
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international journals and at international 
76
international journals and at international 
            
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congresses/workshops/symposia.\r\n\r\n__Further information__: 
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congresses/workshops/symposia.\r\n\r\n__Further information__: 
            
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l/organization/research-units/landscape-dynamics/remote-sensing.html",
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      "description": "A national vegetation height model was 
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      "description": "A national vegetation height model was 
            
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calculated for Switzerland using digital aerial images. We used the 
104
calculated for Switzerland using digital aerial images. We used the 
            
105
stereo aerial images acquired by the Federal Office of Topography 
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stereo aerial images acquired by the Federal Office of Topography 
            
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swisstopo using the ADS80 sensor to first calculate a digital surface 
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swisstopo using the ADS80 sensor to first calculate a digital surface 
            
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model (DSM) with a very high spatial resolution (1 \u00d7 1 m). The 
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model (DSM) with a very high spatial resolution (1 \u00d7 1 m). The 
            
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DSM was then normalized to obtain the actual vegetation heights using 
108
DSM was then normalized to obtain the actual vegetation heights using 
            
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the digital terrain model (DTM) SwissAlti3D based on airborne laser 
109
the digital terrain model (DTM) SwissAlti3D based on airborne laser 
            
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data. Buildings are masked out using the NDVI information of the 
110
data. Buildings are masked out using the NDVI information of the 
            
111
aerial images to produce a vegetation height model, and to produce a 
111
aerial images to produce a vegetation height model, and to produce a 
            
112
vegetation height model (VHM). Such a model will be calculated in the 
112
vegetation height model (VHM). Such a model will be calculated in the 
            
113
framework of the Swiss National Forest Inventory (NFI) with consistent 
113
framework of the Swiss National Forest Inventory (NFI) with consistent 
            
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methods and a very high level of detail. For covering the whole of 
114
methods and a very high level of detail. For covering the whole of 
            
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Switzerland, we used summer aerial images from 2011 to 2016.",
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Switzerland, we used summer aerial images from 2011 to 2016.",
            
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