HR: 1340h
AN: B43C-1445    [Abstracts]
TI: A Comparison Of Tree Crown Recognition Techniques
AU: * Greenberg, J A
EM: greenberg@ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, University of California, Davis, 1 Shields Ave., Davis, CA 95616,
AU: Smith, A
EM: alistair@uidaho.edu
AF: University of Idaho, Department of Forest Resources, PO Box 441133, Moscow, ID 83844,
AU: Ho, J
EM: trwho@ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, University of California, Davis, 1 Shields Ave., Davis, CA 95616,
AU: Dobrowski, S Z
EM: szdobrowski@ucdavis.edu
AF: The University of Montana, College of Forestry and Conservation, Missoula, MT 59812,
AU: Kefauver, S
EM: sckefauver@ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, University of California, Davis, 1 Shields Ave., Davis, CA 95616,
AU: Vanderbilt, V
EM: vvanderbilt@arc.nasa.gov
AF: NASA Ames Research Center, MS 242-4, Moffett Field, CA 94035,
AU: Ustin, S L
EM: slustin@ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, University of California, Davis, 1 Shields Ave., Davis, CA 95616,
AB: The derivation of tree crown maps from high resolution remote sensing yields critical information on forest structure that can be used, via allometric relationships, to predict per-tree biomass, crown bulk density, and leaf area index. These relationships have the potential to be much more accurate at predicting biomass than coarse scale passive and active approaches since they do not rely on the direct retrieval of signals from the deep canopy, and rather use the areal crown extent linked with allometric relationships. However, techniques for mapping tree crowns are still being developed, and carry their own set of assumptions and errors, namely in their ability to accurately detect trees as individual scene objects (omission/commission errors), and the ability to accurately predict crown extent. We compare several published tree crown mapping algorithms for their ability to predict the presence/absence of trees and their individual crown area using photointerpreted subscenes and field data for validation.
DE: 0430 Computational methods and data processing
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: 2007 Fall Meeting