Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees

A. Farid, D. Rautenkranz, D. C. Goodrich, Stuart Marsh, S. Sorooshian

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The high point density of airborne laser mapping systems enables achieving a detailed description of geographic objects and the terrain. Growing experience indicates, however, that extracting useful information directly from the data can be difficult. In this study, small-footprint lidar data were used to differentiate between young, mature, and old cottonwood trees in the San Pedro River Basin near Benson, Arizona, USA. The lidar data were acquired in June 2003, using the Optech Incorporated ALTM 1233 (Optech Incorporated, Toronto, Ont.), during flyovers conducted at an altitude of 750 m. The lidar data were preprocessed to create a two-band image of the study site: a high-accuracy canopy altitude model band, and a near-infrared intensity band. These lidar-derived images provided the basis for supervised classification of cottonwood age categories, using a maximum likelihood algorithm. The results of classification illustrate the potential of airborne lidar data to differentiate age classes of cottonwood trees for riparian areas quickly and accurately.

Original languageEnglish (US)
Pages (from-to)15-18
Number of pages4
JournalCanadian Journal of Remote Sensing
Volume32
Issue number1
StatePublished - 2006

Fingerprint

vegetation classification
riparian vegetation
Optical radar
lidar
laser
Scanning
Lasers
image classification
age class
footprint
Catchments
Maximum likelihood
near infrared
river basin
Rivers
canopy
Infrared radiation

ASJC Scopus subject areas

  • Computers in Earth Sciences

Cite this

Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees. / Farid, A.; Rautenkranz, D.; Goodrich, D. C.; Marsh, Stuart; Sorooshian, S.

In: Canadian Journal of Remote Sensing, Vol. 32, No. 1, 2006, p. 15-18.

Research output: Contribution to journalArticle

Farid, A. ; Rautenkranz, D. ; Goodrich, D. C. ; Marsh, Stuart ; Sorooshian, S. / Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees. In: Canadian Journal of Remote Sensing. 2006 ; Vol. 32, No. 1. pp. 15-18.
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