Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data

Mads Olander Rasmussen, Frank-M. Göttsche, Doudou Diop, Cheikh Mbow, Folke-S. Olesen, Rasmus Fensholt, Inge Sandholt

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A tree survey and an analysis of high resolution satellite data were performed to characterise the woody vegetation within a 10 x 10 km(2) area around a site located close to the town of Dahra in the semiarid northern part of Senegal. The surveyed parameters were tree species, height, tree crown radius, and diameter at breast height (DBH), for which allometric models were determined. An object-based classification method was used to determine tree crown cover (TCC) from Quickbird data. The average TCC from the tree survey and the respective TCC from remote sensing were both about 3.0%. For areas beyond the surveyed areas TCC varied between 3.0% and 4.5%. Furthermore, an empirical correction factor for tree clumping was obtained, which considerably improved the estimated number of trees and the estimated average tree crown area and radius. An allometric model linking TCC to tree stem crosssectional area (CSA) was developed, which allows to estimate tree biomass from remote sensing. The allometric models for the three main tree species found performed well and had r(2)-values of about 0.7-0.8. (C) 2011 Elsevier B.V. All rights reserved.
Original languageEnglish
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume13
Issue number4
Pages (from-to)517-527
ISSN0303-2434
DOIs
Publication statusPublished - 2011
Externally publishedYes

Keywords

  • Tree inventory
  • Field survey
  • Tree clumping
  • Image analysis
  • Allometric models
  • Remote sensing

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