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ARS Home » Pacific West Area » Tucson, Arizona » SWRC » Research » Publications at this Location » Publication #243507
Title: Lidar Remote Sensing for Forest Canopy Studies 2014

Author
item FARID, A. - University Of Arizona
item Goodrich, David - Dave
item SOROOSHIAN, S. - University Of California

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 10/15/2008
Publication Date: N/A
Citation: N/A

Interpretive Summary: Vegetation covering the earth’s surface, whether it be natural or managed is a critical resource for maintaining the sustainability of life on earth. Conventional remote sensing methods from airplanes or satellites have significant limitations for measuring and characterizing the height and structure of the vegetation. The limitations of traditional methods increase with increasing density of the vegetation. Lidar (light detecting and ranging) is an alternative remote sensing technology that is shown to improve our ability to accurately measure the structure and three dimensional aspects of vegetation canopies. This review demonstrates that an airborne lidar (light detecting and ranging) can accurately measure features of forest canopy and leaf areas that are related to above ground biomass and plant water use. Other applications of lidar in forest canopies are already being developed including, identification of faunal habitat, estimation of fuel loading for fires, and above ground estimates of carbon stored in vegetation canopies.

Technical Abstract: Remote sensing has facilitated extraordinary advances in modeling, mapping, and the understanding of ecosystems. Conventional sensors have significant limitations for ecological and forest applications. The sensitivity and accuracy of these devices have repeatedly been shown to fall with increasing aboveground biomass and LAI. They are also limited in their ability to represent the spatial patterns. Ecologists have long understood that the presence of specific organisms and the overall richness of wildlife communities can be highly dependent on the three-dimensional spatial pattern of vegetation. Additionally, aspects of forests, such as productivity, may be related to forest canopy structure. Lidar (light detecting and ranging) is an alternative remote sensing technology that promises to both increase the accuracy of biophysical measurements and extend spatial analysis into the third dimension (z). Multi-return Lidar sensors directly measure the three-dimensional distribution of forest canopies as well as sub-canopy topography, and therefore providing high resolution topographic maps and highly accurate estimates of tree height, cover, and canopy structure. In addition, lidar has been shown to accurately estimate LAI and aboveground biomass, even in those high biomass ecosystems, where passive optical and active radar sensors typically fail to do so. Estimation of forest structural attributes, such as LAI, is an important step in identifying the amount of water use in forest areas.