Characterizing leaf area index (LAI) and vertical foliage profile (VFP) over the United States

Characterizing leaf area index (LAI) and vertical foliage profile (VFP) over the United States

Leaf area index (LAI) and vertical foliage profile (VFP) are among the important canopy structural variables. Recent advances in lidar remote sensing technology have demonstrated the capability of accurately mapping LAI and VFP over large areas. The primary objective of this study was to derive and validate a LAI and VFP product over the contiguous United States (CONUS) using spaceborne wavefor...

Characterizing Leaf Area Index (LAI) and Vertical Foliage Profile (VFP)

Characterizing Leaf Area Index (LAI) and Vertical Foliage Profile (VFP) over the United States H. Tang, S. Ganguly, G. Zhang, M. A. Hofton, R. F. Nelson, and R. Dubayah Department of Geographical Sciences, University of Maryland, College Park, Maryland, USA Bay Area Environmental Research Institute (BAERI)/NASA Ames Research Center, Moffett Field, California, USA Biospheric Sciences Branch, Cod...

Interactive comment on “Characterizing Leaf Area Index (LAI) and Vertical Foliage Profile (VFP) over the United States” by H. Tang et al

The referee is correct about the bias introduced by seasonality, and a simple average of GLAS LAI over different months supports this hypothesis: 3.02 for May, 3.14 for June, 2.93 for October and 2.22 for November. However, we did not exclude the leaf flushing/senescence periods because we tried to maximize the usage of GLAS shots. The GLAS/ICESat mission was not operated year round but deploye...

Large-scale retrieval of leaf area index and vertical foliage profile from the spaceborne waveform lidar (GLAS/ICESat)

Intercomparison and sensitivity analysis of Leaf Area Index retrievals from LAI-2000, AccuPAR, and digital hemispherical photography over croplands

Validation of Leaf Area Index (LAI) derived from moderate resolution remote sensing observations generally involves optical technique to measure ground LAI. As the current validation datasets are derived using multiple optical retrieval techniques, assessment of the consistency between these techniques is required. In this study the effective Plant Area Index (PAIeff) retrievals by three major ...