RefDoc
Haut

Faire une nouvelle recherche
Make a new search
Lancer la recherche


Titre du document / Document title

Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy

Auteur(s) / Author(s)

HYDE Peter (1) ; DUBAYAH Ralph (1) ; WALKER Wayne (2) ; BLAIR J. Bryan (3) ; HOFTON Michelle (1) ; HUNSAKER Carolyn (4) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Department of Geography, University of Maryland, College Park, Maryland 20742, ETATS-UNIS
(2) Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, ETATS-UNIS
(3) Laboratory for Terrestrial Physics, NASA's Goddard Space Flight Center, Greenbelt, Maryland 20771, ETATS-UNIS
(4) U.S. Forest Service, Department of Agriculture, Fresno, California 93729, ETATS-UNIS

Résumé / Abstract

Measurements of forest structure are important for wildlife habitat management. An optimal strategy for mapping forest structure would include detailed measurements of the vertical dimension, which are traditionally provided by field sampling, together with the broad spatial coverage afforded by remote sensing. While no single sensor is capable of delivering this at the present time, it should be possible to combine information from multiple sensors to achieve a reasonable approximation. In this study, we compare estimates of forest structural metrics derived from remote sensing to measurements obtained in the field (large tree maximum canopy height, mean canopy height, standard deviation canopy height, and biomass). We then statistically combine structural information from LiDAR, RaDAR, and passive optical sensors in an attempt to improve accuracy of our estimates. The results of this study indicate that LiDAR is the best single sensor for estimating canopy height and biomass. The addition of ETM+ metrics significantly improved LiDAR estimates of large tree structure, while Quickbird and InSAR/SAR improved estimates either marginally or not at all. The combination of all sensors was more accurate than LiDAR alone, but only marginally better than the combination of LiDAR and ETM+. Structure metrics from LiDAR and RaDAR are essentially redundant, as are ETM+ and Quickbird.

Revue / Journal Title

Remote sensing of environment    ISSN  0034-4257   CODEN RSEEA7 

Source / Source

2006, vol. 102, no1-2, pp. 63-73 [11 page(s) (article)] (27 ref.)

Langue / Language

Anglais

Editeur / Publisher

Elsevier, New York, NY, ETATS-UNIS  (1969) (Revue)

Mots-clés anglais / English Keywords

Optical sensor

;

radar methods

;

biomass

;

standard deviation

;

Height

;

Canopy(vegetation)

;

trees

;

Approximation

;

Multisensor

;

Information

;

remote sensing

;

sampling

;

dimensions

;

Optimal strategy

;

management

;

Synergism

;

synthetic aperture radar

;

Lidar

;

measurement sensor

;

analysis

;

habitat

;

Wild life

;

Structure

;

forests

;

cartography

;

Mots-clés français / French Keywords

<<>>

;

Capteur optique

;

Méthode radar

;

Biomasse

;

Ecart type

;

Hauteur

;

Canopée

;

Arbre

;

Approximation

;

Capteur multiple

;

Information

;

Télédétection

;

Echantillonnage

;

Dimension

;

Stratégie optimale

;

Gestion

;

Synergie

;

Radar antenne synthétique

;

Radar optique

;

Capteur mesure

;

Analyse

;

Habitat

;

Vie sauvage

;

Structure

;

Forêt

;

Cartographie

;

Mots-clés espagnols / Spanish Keywords

Captador óptico

;

Radar

;

Biomasa

;

Desviación típica

;

Altura

;

Dosel

;

Aproximación

;

Multisensor

;

Información

;

Detección a distancia

;

Muestreo

;

Dimensión

;

Estrategia optima

;

Gestión

;

Sinergia

;

Radar óptico

;

Habitat

;

Vida salvaje

;

Estructura

;

Bosque

;

Cartografía

;

Mots-clés d'auteur / Author Keywords

LiDAR

;

RaDAR

;

SAR

;

InSAR

;

Fusion

;

Habitat

;

Forest structure

;

Canopy height

;

Biomass

;

Localisation / Location

INIST-CNRS, Cote INIST : 14287, 35400011546471.0060

Nº notice refdoc (ud4) : 17773666



Faire une nouvelle recherche
Make a new search
Lancer la recherche
Bas