QSpace Collection: http://hdl.handle.net/1974/1858
2014-03-10T23:13:29Z 2014-03-10T23:13:29Z Canopy Height Modeling
for Improved Forest Biomass Inventory Benzie, Alexandra
http://hdl.handle.net/1974/8275 2013-09-13T17:41:55Z
2013-09-13T04:00:00Z Title: Canopy Height Modeling for Improved
Forest Biomass Inventory Authors: Benzie, Alexandra Abstract: In
Ontario, an up-to-date forest biomass inventory is critical for
forest management decisions and to ensure sustainable
development. Due to recent pressures of climate change, economic
downturns, and rising energy prices, inventory users are
demanding increasingly accurate, timely, and spatially explicit
biomass data from producers. This study focuses specifically on
the inventory measurement of forest height, as height is an
important yet elusive variable for determining biomass quality
and quantity, along with a myriad of other forest and ecological
attributes. Two types of remote sensing methods are used to
model height, Light Detection and Ranging (LiDAR) and