| Title | Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model |
| Authors | Choi, Sungho Ni, Xiliang Shi, Yuli Ganguly, Sangram Zhang, Gong Duong, Hieu V. Lefsky, Michael A. Simard, Marc Saatchi, Sassan S. Lee, Shihyan Ni-Meister, Wenge Piao, Shilong Cao, Chunxiang Nemani, Ramakrishna R. Myneni, Ranga B. |
| Affiliation | Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA. Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. Nanjing Univ Informat Sci & Technol, Sch Remote Sensing, Nanjing 210044, Jiangsu, Peoples R China. NASA, Ames Res Ctr, BAERI, Moffett Field, CA 94035 USA. Utah State Univ, Dept Watershed Sci, Logan, UT 84322 USA. Colorado State Univ, Ctr Ecol Anal Lidar, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA. CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA. CUNY Hunter Coll, Dept Geog, New York, NY 10065 USA. Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China. Peking Univ, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China. NASA, Ames Res Ctr, Biospher Sci Branch, Moffett Field, CA 94035 USA. Boston Univ, Dept Earth & Environm, 675 Commonwealth Ave, Boston, MA 02215 USA. |
| Keywords | tree height allometric scaling law resource limitation GLAS model optimization WAVE-FORM LIDAR VERTICAL STRUCTURE ICESAT/GLAS DATA FOREST STRUCTURE LASER ALTIMETER CARBON-DIOXIDE CANOPY HEIGHT NEW-HAMPSHIRE LEAF-AREA VEGETATION |
| Issue Date | 2013 |
| Publisher | remote sens basel |
| Citation | REMOTE SENSING.2013,5,(1),202-223. |
| Abstract | The ultimate goal of this multi-article series is to develop a methodology to generate continuous fields of tree height and biomass. The first paper demonstrated the need for Allometric Scaling and Resource Limitation (ASRL) model optimization and its ability to generate spatially continuous fields of tree heights over the continental USA at coarse (1 km) spatial resolution. The objective of this second paper is to provide an assessment of that approach at site scale, specifically at 12 FLUXNET sites where more accurate data are available. Estimates of tree heights from the Geoscience Laser Altimeter System (GLAS) waveform data are used for model optimization. Amongst the five possible GLAS metrics that are representative of tree heights, the best metric is selected based on how closely the metric resembles field-measured and Laser Vegetation Imaging Sensor tree heights. In the optimization process, three parameters of the ASRL model (area of single leaf, alpha; exponent for canopy radius, eta; and root absorption efficiency, gamma) are simultaneously adjusted to minimize the difference between model predictions and observations at the study sites (distances to valid GLAS footprints <= 10 km). Performance of the optimized ASRL model was evaluated through comparisons to the best GLAS metric of tree height using a two-fold cross validation approach (R-2 = 0.85; RMSE = 1.81 m) and a bootstrapping approach (R-2 = 0.66; RMSE = 2.60 m). The optimized model satisfactorily performed at the site scale, thus corroborating results presented in part one of this series. Future investigations will focus on generalizing these results and extending the model formulation using similar allometric concepts for the estimation of woody biomass. |
| URI | http://hdl.handle.net/20.500.11897/392314 |
| ISSN | 2072-4292 |
| DOI | 10.3390/rs5010202 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 城市与环境学院 |
