The goals of the study were to (i) determine if there is a direct relationship between waveform LiDAR intensity-by-height and discrete return frequency-by-height (do the distributions match?) and (ii) assess the impact of scale (does this relationship vary by the area used for signal integration?). Results have significant implications in terms of a cost-benefit analysis: The use of a discrete return instead of a waveform system leads to a reduction in cost, data volume, signal complexity, and processing requirements.
Reference:
Van Aardt, JAN, Wu, J, McGlinchy, J, Wessels, K.J., Mathieu, R, Kennedy Bowdoin, T, Knapp, DE and Asner, GP. 2012. On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012
Van Aardt, J., Wu, J., McGlinchy, J., Wessels, K. J., Mathieu, R. S., Kennedy Bowdoin, T., ... Asner, G. (2012). On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure. IGARSS 2012. http://hdl.handle.net/10204/6565
Van Aardt, JAN, J Wu, J McGlinchy, Konrad J Wessels, Renaud SA Mathieu, T Kennedy Bowdoin, DE Knapp, and GP Asner. "On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure." (2012): http://hdl.handle.net/10204/6565
Van Aardt J, Wu J, McGlinchy J, Wessels KJ, Mathieu RS, Kennedy Bowdoin T, et al, On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure; IGARSS 2012; 2012. http://hdl.handle.net/10204/6565 .
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