際際滷shows by User: myebra12 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: myebra12 / Wed, 11 Jun 2014 21:09:21 GMT 際際滷Share feed for 際際滷shows by User: myebra12 Marselis 2014 Vegetation Structure mapping with LiDAR for forest fire research /slideshow/marselis-2014-vegetation-structure-mapping-with-lidar-for-forest-fire-research/35771592 marselis2014-internshippresentation-140611210921-phpapp01
Assessing the three dimensional vegetation structure is important in fire management. Manually mapping forest structural characteristics is time consuming and hence expensive and automated methods should prove beneficial. In this research I investigated the use of airborne light detection and ranging (LiDAR) for mapping vegetation height and canopy cover and to derive information on the understory. Airborne LiDAR data provided good quality information on both vegetation height and canopy cover, but understory information was more uncertain. The use of automated hand-held LiDAR data collection to obtain information on the understory and to complement the airborne LiDAR data was investigated and looks to have strong potential.]]>
Assessing the three dimensional vegetation structure is important in fire management. Manually mapping forest structural characteristics is time consuming and hence expensive and automated methods should prove beneficial. In this research I investigated the use of airborne light detection and ranging (LiDAR) for mapping vegetation height and canopy cover and to derive information on the understory. Airborne LiDAR data provided good quality information on both vegetation height and canopy cover, but understory information was more uncertain. The use of automated hand-held LiDAR data collection to obtain information on the understory and to complement the airborne LiDAR data was investigated and looks to have strong potential.]]> Wed, 11 Jun 2014 21:09:21 GMT /slideshow/marselis-2014-vegetation-structure-mapping-with-lidar-for-forest-fire-research/35771592 myebra12@slideshare.net(myebra12) Marselis 2014 Vegetation Structure mapping with LiDAR for forest fire research myebra12 Assessing the three dimensional vegetation structure is important in fire management. Manually mapping forest structural characteristics is time consuming and hence expensive and automated methods should prove beneficial. In this research I investigated the use of airborne light detection and ranging (LiDAR) for mapping vegetation height and canopy cover and to derive information on the understory. Airborne LiDAR data provided good quality information on both vegetation height and canopy cover, but understory information was more uncertain. The use of automated hand-held LiDAR data collection to obtain information on the understory and to complement the airborne LiDAR data was investigated and looks to have strong potential. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/marselis2014-internshippresentation-140611210921-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Assessing the three dimensional vegetation structure is important in fire management. Manually mapping forest structural characteristics is time consuming and hence expensive and automated methods should prove beneficial. In this research I investigated the use of airborne light detection and ranging (LiDAR) for mapping vegetation height and canopy cover and to derive information on the understory. Airborne LiDAR data provided good quality information on both vegetation height and canopy cover, but understory information was more uncertain. The use of automated hand-held LiDAR data collection to obtain information on the understory and to complement the airborne LiDAR data was investigated and looks to have strong potential.
Marselis 2014 Vegetation Structure mapping with LiDAR for forest fire research from Australian National University College of Medicine, Biology
]]> 2121 14 https://cdn.slidesharecdn.com/ss_thumbnails/marselis2014-internshippresentation-140611210921-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-myebra12-48x48.jpg?cb=1523515228 Dr. Marta Yebra is Research Fellow at Fenner School of Enviroment and Society. Her main background is in remote sensing of vegetation biophysical properties, such as fuel load and moisture content for spatial fire risk analysis, and canopy conductance for carbon sequestration and water balance studies. She has authored more than 44 publications (follow the link under 'Related websites' for a full list of publications). From 2004-2010 she was employed at the University of Alcala, where she was involved in two large multidisciplinary projects which assessed and integrated the main fire risk factors, validated the results and analysed fire risk trends, considering potencial changes in socio- https://researchers.anu.edu.au/researchers/yebra-m