Skip all navigation and jump to content Jump to site navigation
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Wang, ZS; Schaaf, CB; Lewis, P; Knyazikhin, Y; Schull, MA; Strahler, AH; Yao, T; Myneni, RB; Chopping, MJ; Blair, BJ (2011). Retrieval of canopy height using moderate-resolution imaging spectroradiometer (MODIS) data. REMOTE SENSING OF ENVIRONMENT, 115(6), 1595-1601.

Abstract
In this study we use the 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product to develop multivariate linear regression models that estimate canopy heights over study sites at Howland Forest, Maine, Harvard Forest, Massachusetts and La Selva Forest, Costa Rica using (1) directional escape probabilities that are spectrally independent and (2) the directional spectral reflectances used to derive the directional escape probabilities. These measures of canopy architecture are compared with canopy height information retrieved from the airborne laser Vegetation Imaging Sensor (LVIS). Both the escape probability and the directional reflectance approaches achieve good results, with correlation coefficients in the range 0.54-0.82, although escape probability results are usually slightly better. This suggests that MODIS 500 m BRDF data can be used to extrapolate canopy heights observed by widely-spaced satellite LIDAR swaths to larger areas, thus providing wide-area coverage of canopy height. (C) 2011 Elsevier Inc. All rights reserved.

DOI:
0034-4257

ISSN:
10.1016/j.rse.2011.02.010

NASA Home Page Goddard Space Flight Center Home Page