@inproceedings{068f4e8f3d7447e0b48443fc85b95266,
title = "Exploring small footprint lidar intensity data in a forested environment",
abstract = "Lidar intensity, a quantity analogous to backscatter, has yet to be fully exploited as an information source in the characterization of forests. Intensity images appear noisy due to complex laser interactions in a forested environment; however, we expect that these data are inherently spatially structured. We found that (1) the scale and variability of global estimates of spatial autocorrelation derived from raw intensity data were markedly different between stands of different age, and (2) the magnitude of local estimates of spatial autocorrelation varied with canopy height. We believe that these height and age-related differences in intensity are due to both structural and compositional features unique to each stand.",
keywords = "Forest structure, Lidar intensity, Spatial autocorrelation",
author = "Jaden Langford and Olaf Niemann and Frazer, {Gordon W.} and Wulder, {Michael A.} and Trisalyn Nelson",
year = "2006",
doi = "10.1109/IGARSS.2006.626",
language = "English (US)",
isbn = "0780395107",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "2416--2419",
booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",
note = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 31-07-2006 Through 04-08-2006",
}