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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data
International Journal of Applied Earth Observation and Geoinformation, Volume 13, No. 4, Year 2011
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Description
A tree survey and an analysis of high resolution satellite data were performed to characterise the woody vegetation within a 10 × 10 km2 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 r2-values of about 0.7-0.8. © 2011 Elsevier B.V.
Authors & Co-Authors
Rasmussen, Mads Olander
Denmark, Copenhagen
Københavns Universitet
Göttsche, Frank M.
Germany, Eggenstein-leopoldshafen
Karlsruher Institut Für Technologie, Campus Nord
Diop, Doudou
Senegal, Dakar
Université Cheikh Anta Diop de Dakar
Mbow, Cheikh
Senegal, Dakar
Université Cheikh Anta Diop de Dakar
Olesen, Folke S.
Germany, Eggenstein-leopoldshafen
Karlsruher Institut Für Technologie, Campus Nord
Fensholt, R.
Denmark, Copenhagen
Københavns Universitet
Sandholt, Inge
Denmark, Copenhagen
Københavns Universitet
Statistics
Citations: 44
Authors: 7
Affiliations: 3
Identifiers
Doi:
10.1016/j.jag.2011.01.007
ISSN:
15698432
e-ISSN:
1872826X
Study Design
Cross Sectional Study
Study Approach
Quantitative
Study Locations
Senegal