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Regional Distribution of Forest Height and Biomass from Multisensor Data FusionElevation data acquired from radar interferometry at C-band from SRTM are used in data fusion techniques to estimate regional scale forest height and aboveground live biomass (AGLB) over the state of Maine. Two fusion techniques have been developed to perform post-processing and parameter estimations from four data sets: 1 arc sec National Elevation Data (NED), SRTM derived elevation (30 m), Landsat Enhanced Thematic Mapper (ETM) bands (30 m), derived vegetation index (VI) and NLCD2001 land cover map. The first fusion algorithm corrects for missing or erroneous NED data using an iterative interpolation approach and produces distribution of scattering phase centers from SRTM-NED in three dominant forest types of evergreen conifers, deciduous, and mixed stands. The second fusion technique integrates the USDA Forest Service, Forest Inventory and Analysis (FIA) ground-based plot data to develop an algorithm to transform the scattering phase centers into mean forest height and aboveground biomass. Height estimates over evergreen (R2 = 0.86, P < 0.001; RMSE = 1.1 m) and mixed forests (R2 = 0.93, P < 0.001, RMSE = 0.8 m) produced the best results. Estimates over deciduous forests were less accurate because of the winter acquisition of SRTM data and loss of scattering phase center from tree ]surface interaction. We used two methods to estimate AGLB; algorithms based on direct estimation from the scattering phase center produced higher precision (R2 = 0.79, RMSE = 25 Mg/ha) than those estimated from forest height (R2 = 0.25, RMSE = 66 Mg/ha). We discuss sources of uncertainty and implications of the results in the context of mapping regional and continental scale forest biomass distribution.
Document ID
20110005485
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Yu, Yifan (California Univ. Los Angeles, CA, United States)
Saatchi, Sassan (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Heath, Linda S. (Forest Service Durham, NH, United States)
LaPoint, Elizabeth (Forest Service Durham, NH, United States)
Myneni, Ranga (Boston Univ. Boston, MA, United States)
Knyazikhin, Yuri (Boston Univ. Boston, MA, United States)
Date Acquired
August 25, 2013
Publication Date
August 21, 2010
Publication Information
Publication: Journal of Geophysical Research - Biogeosciences
Volume: 115
ISSN: 0148-0227
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNX08AE81G
Distribution Limits
Public
Copyright
Other