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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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Office for the Environment (FOEN).\", \"institution_url\": \"\"}]",
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Office for the Environment (FOEN).\", \"institution_url\": \"\"}]",
            
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Forest, Snow and Landscape Research WSL \", \"email\": 
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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 
            
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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 
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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 
            
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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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  "organization": {
            
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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 
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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 
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changes in landscape and land resources at different levels using 
            
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image data. Mathematical-statistical methods are adopted for automatic 
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image data. Mathematical-statistical methods are adopted for automatic 
            
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detection and description of image objects. Thus we contribute 
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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 
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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 
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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 
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sensing data.\r\n* Conception, development and maintenance of the 
            
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software interface in area wide data acquisition using airborne remote 
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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 
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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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      "description": "Data 'Vegetation Height Model NFI 2016' 
            
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calculated for Switzerland using digital aerial images. We used the 
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available on request (christian.ginzler@wsl.ch).\r\n\r\nA national 
            
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stereo aerial images acquired by the Federal Office of Topography 
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vegetation height model was calculated for Switzerland using digital 
            
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swisstopo using the ADS80 sensor to first calculate a digital surface 
133
aerial images. We used the stereo aerial images acquired by the 
            
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model (DSM) with a very high spatial resolution (1 \u00d7 1 m). The 
134
Federal Office of Topography swisstopo using the ADS80 sensor to first 
            
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DSM was then normalized to obtain the actual vegetation heights using 
135
calculate a digital surface model (DSM) with a very high spatial 
            
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the digital terrain model (DTM) SwissAlti3D based on airborne laser 
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resolution (1 \u00d7 1 m). The DSM was then normalized to obtain the 
            
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data. Buildings are masked out using the NDVI information of the 
137
actual vegetation heights using the digital terrain model (DTM) 
            
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aerial images to produce a vegetation height model, and to produce a 
138
SwissAlti3D based on airborne laser data. Buildings are masked out 
            
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vegetation height model (VHM). Such a model will be calculated in the 
139
using the NDVI information of the aerial images to produce a 
            
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framework of the Swiss National Forest Inventory (NFI) with consistent 
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vegetation height model, and to produce a vegetation height model 
            
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methods and a very high level of detail. For covering the whole of 
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(VHM). Such a model will be calculated in the framework of the Swiss 
            
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National Forest Inventory (NFI) with consistent methods and a very 
            
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high level of detail. For covering the whole of Switzerland, we used 
            
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Switzerland, we used summer aerial images from 2011 to 2016.",
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