Retrieval of canopy height using moderate-resolution imaging spectroradiometer (MODIS) data

Authors

Zhuosen Wang, Beijing Normal UniversityFollow
Crystal B. Schaaf, Boston University
Philip Lewis, University College London
Yuri Knyazikhin, Boston University
Mitchell A. Schull, Boston University
Alan H. Strahler, Boston University
Tian Yao, Beijing Normal University
Ranga B. Myneni, Boston University
Mark J. Chopping, Montclair State University
Bryan J. Blair, NASA Goddard Space Flight Center

Date of this Version

2011

Citation

Remote Sensing of Environment 115 (2011) 1595–1601; doi:10.1016/j.rse.2011.02.010

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 mBRDF 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.