BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Fusion of hyperspectral and ALS remote sensing data for the analys
 is of forest areas
DTSTART:20141118T161500
DTEND:20141118T171500
DTSTAMP:20260916T062819Z
UID:405c8a9cc88b0d50555178ef62d25284f704d457ef5f6ebec6c00091
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Michele Dalponte\, Department of Sustainable Agroecosystems
  and Bioresources\, Research and Innovation Centre\, Fondazione Edmund Mac
 h\nAbstract:\nNowadays\, the use of remote sensing data for forest invento
 ry purposes is increasing. Remote sensing data represent a very useful too
 l for the estimation of forest attributes needed in forest inventories: i.
 e. tree species\, stem volume\, diameter at breast height (DBH)\, and tree
  heights. A remote sensing based forest inventory can be carried out at tw
 o different spatial scales: plot level and individual tree crown (ITC) lev
 el. In plot level forest inventories\, forest attributes are estimated for
  plots of a given size (usually circular areas of a given radius). Differe
 ntly for ITC level forest inventories forest attributes are estimated for 
 each ITC delineated using specific algorithms. These kind of methods provi
 des a more spatially detailed inventory as theoretically for each tree in 
 the forest the volume\, DBH and species are estimated.\nMany kinds of remo
 te sensing data can be considered for a forest inventory. In the last year
 s large attention have been devoted to the use of hyperspectral and airbor
 ne laser scanning (ALS) data. Hyperspectral data showed to be very useful 
 for the fine characterization of tree species distribution.\, while ALS da
 ta showed to be very useful for the characterization of structural forest 
 attributes (height\, volume\, DBH) in many kinds of forest environments. M
 oreover with ALS data it is possible to have accurate tree crowns delineat
 ions that are a key step in ITC level forest inventories.ALS and hyperspec
 tral data can be considered complementary\, and their combination can be v
 ery useful as they provide a detailed spectral and spatial information. Th
 eir fusion have been studied in the literature for forestry application\, 
 showing the benefits of their combined use.\nIn this seminar after a gener
 al approach on the use of remote sensing for forestry applications some ca
 se studies will be presented in which both hyperspectral and LIDAR data ar
 e used for forest attributes estimation at both plot and ITC level.Short b
 iography:\nMichele Dalponte received the M.Sc. degree in Telecommunication
 s Engineering\, and the PhD in Information and Communication Technologies 
 from the University of Trento\, Italy in 2006 and 2010\, respectively. He 
 is currently working within the Forests and Biogeochemical Cycles Group at
  the Research and Innovation Center of the Edmund Mach Foundation (Italy).
  His research interests are in the field of remote sensing\, in particular
  the analysis of hyperspectral\, multispectral and LIDAR data for forest m
 onitoring. His work has been published in international journals and prese
 nted at international conferences. He is a reviewer for many remote sensin
 g journals.
LOCATION:GR A3 31 http://plan.epfl.ch/?room=GR%20A3%2031
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR