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Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data

Naghavi, Hamed and Fallah, Asghar and Shataee, Shaban and Latifi, Hooman and Soosani, Javad and Ramezani, Habib and Conrad, Christopher (2014) Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data. Journal of Applied Remote Sensing, 8 (3), pp. 1-23. Society of Photo-optical Instrumentation Engineers (SPIE). DOI: 10.1117/1.JRS.8.083524 ISSN 1931-3195

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Official URL: http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=1934676

Abstract

"The semi-Mediterranean Zagros forests in western Iran are a crucial source of environmental services, but are severely threatened by climatic and anthropological constraints. Thus, an adequate inventory of existing tree cover is essential for conservation purposes. We combined ground samples and Quickbird imagery for mapping the canopy cover in a portion of unmanaged Quercus brantii stands. Orthorectified Quickbird imagery was preprocessed to derive a set of features to enhance the vegetation signal by minimizing solar irradiance effects. A recursive feature elimination was conducted to screen the predictor feature space. The random forest (RF) and support vector machines (SVMs) were applied for modeling. The input datasets were composed of four sets of predictors including the full set of predictors, the four original Quickbird bands, selected vegetation indices, and the soil line-based vegetation indices. The highest r2 and lowest relative root mean square error (RMSE) were observed in modeling with total indices and the full data set in both modeling methods. Regardless of the input dataset used, the RF models outperformed the SVM by returning higher r2 and lower relative RMSEs. It can be concluded that applying these methods and vegetation indices can provide useful information for the retrieval of canopy cover in mountainous, semiarid stands which is crucial for conservation practices in such areas."

Item URL in elib:https://elib.dlr.de/92293/
Document Type:Article
Title:Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Naghavi, HamedSari University of Agricultural Sciences and Natural ResourcesUNSPECIFIED
Fallah, AsgharSari University of Agricultural Sciences and Natural ResourcesUNSPECIFIED
Shataee, ShabanGorgan University of Agricultural Sciences and Natural ResourcesUNSPECIFIED
Latifi, Hoomanhooman.latifi (at) uni-wuerzburg.deUNSPECIFIED
Soosani, JavadLorestan UniversityUNSPECIFIED
Ramezani, HabibSwedish University of Agricultural SciencesUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Date:January 2014
Journal or Publication Title:Journal of Applied Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI :10.1117/1.JRS.8.083524
Page Range:pp. 1-23
Publisher:Society of Photo-optical Instrumentation Engineers (SPIE)
ISSN:1931-3195
Status:Published
Keywords:Zagros forests; Quickbird; nonparametric modeling; recursive feature selection; forest canopy cover
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:12 Dec 2014 14:52
Last Modified:11 Apr 2019 08:47

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