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Canopy Density Model: A New ALS-Derived Product to Generate Multi layer Crown Cover Maps

作     者:Ferraz, Antonio Mallet, Clement Jacquemoud, Stephane Goncalves, Gil Rito Tome, Margarida Soares, Paula Pereira, Luisa Gomes Bretar, Frederic 

作者机构:CALTECH NASA Jet Prop Lab Pasadena CA 91109 USA Univ Paris Est MATIS SRIG Inst Natl Informat Geog & Forestiere IGN F-94160 St Mande France Univ Paris Diderot Sorbonne Paris Cite CNRS Inst Phys Globe ParisUMR 7154 F-75013 Paris France Univ Coimbra INESC Coimbra P-3001501 Coimbra Portugal Univ Coimbra Dept Math P-3001501 Coimbra Portugal Univ Lisbon Sch Agron Forest Res Ctr P-1349017 Lisbon Portugal Univ Aveiro Escola Super Tecnol & Gestao Agueda P-3754909 Agueda Portugal Consulate Gen France Shanghai Shanghai 200001 Peoples R China 

出 版 物:《IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING》 (IEEE Trans Geosci Remote Sens)

年 卷 期:2015年第53卷第12期

页      面:6776-6790页

核心收录:

学科分类:0808[工学-电气工程] 1002[医学-临床医学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基  金:Portuguese Foundation for Science and Technology [PTDC/AGR-CFL/72380/2006, Pest-OE/EEI/UI308/2014, UID/MULTI/00308/2013] French National Research Agency (ANR) through the FORESEE Project [ANR-2010-BIOE-008] Jet Propulsion Laboratory through the NASA Postdoctoral Program Portuguese Foundation for Science and Technology through the Forest Research Center Project [UID/AGR/00239/2013] Fundação para a Ciência e a Tecnologia [PTDC/AGR-CFL/72380/2006] Funding Source: FCT 

主  题:Density estimation robust algorithm forestry lasers probability density function remote sensing vegetation mapping 

摘      要:The canopy density model (CDM), a new product interpolated from airborne laser scanner (ALS) data and dedicated to forest structure characterization is presented. It exploits both the multiecho capability of the ALS and a nonparametric density estimation technique called kernel density estimators (KDEs). The CDM is used to delineate the outmost perimeter of vegetation features and to compute forest crown cover (CrC0). Contrary to other works that focus on single-layer forest canopies, Cr Co is derived here for each layer, namely, the overstory, the understory, and ground vegetation. The root-mean-square error of prediction determined by using field data acquired over 44 forest stands in a forest in Portugal allows the testing of the reliability of the method: It ranges from 6.21% (overstory) to 13.76% (ground vegetation). In addition, we investigate the ability of the CDM to map the CrCo for individual trees. Finally, two existing methods have been applied to our study site in order to assess improvements, advantages, and drawbacks of our approach.

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