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Visual interpretation of key properties in vegetation structur from Lidar data: potential importance for physical, ecological and socio-economic monitoring
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology (INK).
Institutionen för ekologi, SLU Uppsala.
Institutionen för Skoglig Resurshushållning . (Landskapsanalys)
2010 (English)Conference paper, Published paper (Other academic)
Abstract [en]

This paper discusses early findings from one of several projects within a recently launched research program devoted to environmental mapping and monitoring with airborne laser and digital images (EMMA) financed by the Swedish EPA. Policy makers and land managers along with the global community increasingly demand hard figures regarding the state and trends of biodiversity and habitat qualities of importance to nature conservation and international environmental quality goals. Although remote sensing and GIS based methods have greatly improved, there is still a lack of spatially detailed and consistent habitat data to meet these requirements. Key vegetation qualities are often hidden from visual and automatic classification in high resolution remote sensing imagery since they are typically covered by trees. Laser beams can partly penetrate through the canopy and the data derived from the reflected pulses will add crucial detail and consistency in vegetation mapping. The aim of the project is to visually explore LiDAR data focusing on habitats within agricultural and alpine environments for enhanced vegetation classification and registration of habitat qualities and structures. Initially a number of key variables (vertical and horizontal structure, influence of land use, and site conditions) have been explored through visual interpretation of two time sets of high resolution 3D laser point data (density>5 points/m²) and derivates processed to enhance objects of interest. The initial results from a wooded pasture indicate that key properties, such as ditches, field and shrub layer characteristics and distribution, fallen trees and various man made remnants are in fact detectable. The use of laser-generated high-quality bare earth models is crucial to distinguish the field layer and low shrubs from boulders and uneven ground surface. These bare earth models will as they become widely available enhance all types of habitat modeling and landscape analysis.

Place, publisher, year, edition, pages
2010.
National Category
Landscape Architecture Agricultural Science
Research subject
Physical Geography
Identifiers
URN: urn:nbn:se:su:diva-50983OAI: oai:DiVA.org:su-50983DiVA: diva2:383565
Conference
International Conference in Landscape Ecology ”Landscape structures, functions and management: response to global ecological change
Projects
EMMA
Note
Oral presentation at International Conference in Landscape Ecology ”Landscape structures, functions and management: response to global ecological change”. Brno/Prag Tjeckien 3-7 SeptemberAvailable from: 2011-01-05 Created: 2011-01-05 Last updated: 2011-01-19Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
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Output format
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