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Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest

J. Appl. Remote Sens. 5, 053504 (Mar 11, 2011); http://dx.doi.org/10.1117/1.3554639

Jeanne E. Anderson, Mary E. Martin, and Lucie Lepine

University of New Hampshire, Complex Systems Research Center, Institute for the Study of Earth, Oceans, and Space, Durham, New Hampshire 03824-3589

Mark J. Ducey and Thomas D. Lee

University of New Hampshire, Department of Natural Resources and the Environment, Durham, New Hampshire 03824-3589

Andrew Fast

University of New Hampshire, Cooperative Extension, Durham, New Hampshire 03824-3589

Marie-Louise Smith

U.S.D.A. Forest Service, Washington, D.C. 20250

Ralph O. Dubayah, Michelle A. Hofton, and Peter Hyde

University of Maryland, Department of Geography, College Park, Maryland 20742

Birgit E. Peterson

USGS Center for Earth Resources Observation and Science, Sioux Falls, South Dakota 57198

J. Bryan Blair

Goddard Space Flight Center, NASA, Laser Remote Sensing Branch, Greenbelt, Maryland, 20771

Waveform lidar imagery was acquired on September 26, 1999 over the Bartlett Experimental Forest (BEF) in New Hampshire (USA) using NASA's Laser Vegetation Imaging Sensor (LVIS). This flight occurred 20 months after an ice storm damaged millions of hectares of forestland in northeastern North America. Lidar measurements of the amplitude and intensity of ground energy returns appeared to readily detect areas of moderate to severe ice storm damage associated with the worst damage. Southern through eastern aspects on side slopes were particularly susceptible to higher levels of damage, in large part overlapping tracts of forest that had suffered the highest levels of wind damage from the 1938 hurricane and containing the highest levels of sugar maple basal area and biomass. The levels of sugar maple abundance were determined through analysis of the 1997 Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) high resolution spectral imagery and inventory of USFS Northern Research Station field plots. We found a relationship between field measurements of stem volume losses and the LVIS metric of mean canopy height (r2 = 0.66; root mean square errors = 5.7 m3/ha, p < 0.0001) in areas that had been subjected to moderate-to-severe ice storm damage, accurately documenting the short-term outcome of a single disturbance event.

© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

History
Received Mar 05, 2010
Accepted Jan 21, 2011
Revised Jan 07, 2011
Published online Mar 11, 2011
Citation
Jeanne E. Anderson, Mark J. Ducey, Andrew Fast, Mary E. Martin, Lucie Lepine, Marie-Louise Smith, Thomas D. Lee, Ralph O. Dubayah, Michelle A. Hofton, Peter Hyde, Birgit E. Peterson and J. Bryan Blair, "Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest", J. Appl. Remote Sens. 5, 053504 (Mar 11, 2011); http://dx.doi.org/10.1117/1.3554639

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