Articles liés à Biomass Representation in Synthetic Aperture Radar...

Biomass Representation in Synthetic Aperture Radar Data Sets: A comprehensive study of biomass-induced elevation bias in DEMs derived using Synthetic Aperture Radar Interferometry - Couverture souple

Becek, Kazimierz

 
9783844323429: Biomass Representation in Synthetic Aperture Radar Data Sets: A comprehensive study of biomass-induced elevation bias in DEMs derived using Synthetic Aperture Radar Interferometry
Couverture souple
ISBN 10 : 3844323422 ISBN 13 : 9783844323429
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

This study is concerned with biomass-induced elevation bias of the digital elevation model (DEM) derived using Synthetic Aperture Radar Interferometry. A linear dependency between this bias and biomass density allows for its use to assess the degree of depletion of forest stands. The advantage of this measure is its sensitivity to both the horizontal distribution of forest and vertical properties of forest including canopy density. This bias may be estimated by subtracting the bare-ground DEM from the vegetation-included DEM. Tests were conducted using the C- and X-band SRTM DEMs. It was found that both the C- and X-band DEMs represent similar surfaces within the vegetation layer. With this discovery in mind, one may infer that gaps in the canopy cover are the major contributor to the magnitude of the vegetation-induced elevation bias. Also, experiments on the sensitivity of the L-band PALSAR data to biomass are presented. The book may be useful to remote sensing students, forest ecologists and other professionals interested in forest studies as well as decision makers.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This study is concerned with biomass-induced elevation bias of the digital elevation model (DEM) derived using Synthetic Aperture Radar Interferometry. A linear dependency between this bias and biomass density allows for its use to assess the degree of depletion of forest stands. The advantage of this measure is its sensitivity to both the horizontal distribution of forest and vertical properties of forest including canopy density. This bias may be estimated by subtracting the bare-ground DEM from the vegetation-included DEM. Tests were conducted using the C- and X-band SRTM DEMs. It was found that both the C- and X-band DEMs represent similar surfaces within the vegetation layer. With this discovery in mind, one may infer that gaps in the canopy cover are the major contributor to the magnitude of the vegetation-induced elevation bias. Also, experiments on the sensitivity of the L-band PALSAR data to biomass are presented. The book may be useful to remote sensing students, forest ecologists and other professionals interested in forest studies as well as decision makers.

Biographie de l'auteur

Dr Becek obtained his MSc in Geodesy from the Agricultural University, Wroclaw and PhD from the Technical University, Dresden. He worked at the UNSW, Sydney. Since 2003 he has been with the University of Brunei Darussalam, teaching Geomatics & Remote Sensing. His interests include applications of active Remote Sensing in environmental studies.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844323422
ISBN 13 
9783844323429
Reliure
Broché
Nombre de pages
284
Coordonnées du fabricant
non disponible
Personne responsable
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