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Analysis and error assessment on the use of segmentation for estimating forest structural characteristics from lidar and radar

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8 Author(s)
Siqueira, P. ; Microwave Remote Sensing Lab., Univ. of Massachusetts, Amherst, MA, USA ; Dickinson, C. ; Ahmed, R. ; Chapman, B.
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This paper investigates the ability of radar image segmentation to produce meaningful, structurally homogenous objects with respect to lidar-derived forest metrics. A comparative approach is taken to determine if radar-derived segments perform better in this respect than arbitrary, square segments or landcover-derived segments. It is found that segmentation of UAVSAR co- and cross-polarization backscatter magnitudes results in increased lidar homogeneity on the segment level relative to the arbitrary and landcover segmentations.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Date of Conference:

22-27 July 2012