Kazimierz becek (8 resultados)

Condición: New. pp. 284.

Taschenbuch. Condición: Neu. Biomass Representation in Synthetic Aperture Radar Data Sets | A comprehensive study of biomass-induced elevation bias in DEMs derived using Synthetic Aperture Radar Interferometry | Kazimierz Becek | Taschenbuch | 284 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844323429 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Becek KazimierzDr 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 Daru. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Condición: New. Print on Demand pp. 284 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 284 pp. Englisch.…

Condición: New. PRINT ON DEMAND pp. 284.