Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR

Mark Chopping, Crystal B. Schaaf, Feng Zhao, Zhuosen Wang, Anne W. Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull

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Abstract

Red band bidirectional reflectance factor data from the NASA MODerate resolution Imaging Spectroradiometer (MODIS) acquired over the southwestern United States were interpreted through a simple geometric-optical (GO) canopy reflectance model to provide maps of fractional crown cover (dimensionless), mean canopy height (m), and aboveground woody biomass (Mg ha-1) on a 250m grid. Model adjustment was performed after dynamic injection of a background contribution predicted via the kernel weights of a bidirectional reflectance distribution function (BRDF) model. Accuracy was assessed with respect to similar maps obtained with data from the NASA Multiangle Imaging Spectroradiometer (MISR) and to contemporaneous US Forest Service (USFS) maps based partly on Forest Inventory and Analysis (FIA) data. MODIS and MISR retrievals of forest fractional cover and mean height both showed compatibility with the USFS maps, with MODIS mean absolute errors (MAE) of 0.09 and 8.4m respectively, compared with MISR MAE of 0.10 and 2.2m, respectively. The respective MAE for aboveground woody biomass was ~10Mgha-1, the same as that from MISR, although the MODIS retrievals showed a much weaker correlation, noting that these statistics do not represent evaluation with respect to ground survey data. Good height retrieval accuracies with respect to averages from high resolution discrete return lidar data and matches between mean crown aspect ratio and mean crown radius maps and known vegetation type distributions both support the contention that the GO model results are not spurious when adjusted against MISR bidirectional reflectance factor data. These results highlight an alternative to empirical methods for the exploitation of moderate resolution remote sensing data in the mapping of woody plant canopies and assessment of woody biomass loss and recovery from disturbance in the southwestern United States and in parts of the world where similar environmental conditions prevail.

Original languageEnglish
Pages (from-to)2943-2953
Number of pages11
JournalRemote Sensing of Environment
Volume115
Issue number11
DOIs
StatePublished - 15 Nov 2011

Fingerprint

MISR
spectroradiometers
Southwestern United States
moderate resolution imaging spectroradiometer
aboveground biomass
MODIS
Biomass
reflectance
image analysis
Imaging techniques
bidirectional reflectance
tree crown
USDA Forest Service
canopy
biomass
lidar
forest inventory
canopy reflectance
woody plants
NASA

Keywords

  • BRDF
  • Biomass
  • Carbon
  • Disturbance
  • Earth Observing System
  • Forest
  • Land cover
  • Modeling
  • Moderate resolution
  • Multi-angle
  • Structure

Cite this

Chopping, Mark ; Schaaf, Crystal B. ; Zhao, Feng ; Wang, Zhuosen ; Nolin, Anne W. ; Moisen, Gretchen G. ; Martonchik, John V. ; Bull, Michael. / Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR. In: Remote Sensing of Environment. 2011 ; Vol. 115, No. 11. pp. 2943-2953.
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abstract = "Red band bidirectional reflectance factor data from the NASA MODerate resolution Imaging Spectroradiometer (MODIS) acquired over the southwestern United States were interpreted through a simple geometric-optical (GO) canopy reflectance model to provide maps of fractional crown cover (dimensionless), mean canopy height (m), and aboveground woody biomass (Mg ha-1) on a 250m grid. Model adjustment was performed after dynamic injection of a background contribution predicted via the kernel weights of a bidirectional reflectance distribution function (BRDF) model. Accuracy was assessed with respect to similar maps obtained with data from the NASA Multiangle Imaging Spectroradiometer (MISR) and to contemporaneous US Forest Service (USFS) maps based partly on Forest Inventory and Analysis (FIA) data. MODIS and MISR retrievals of forest fractional cover and mean height both showed compatibility with the USFS maps, with MODIS mean absolute errors (MAE) of 0.09 and 8.4m respectively, compared with MISR MAE of 0.10 and 2.2m, respectively. The respective MAE for aboveground woody biomass was ~10Mgha-1, the same as that from MISR, although the MODIS retrievals showed a much weaker correlation, noting that these statistics do not represent evaluation with respect to ground survey data. Good height retrieval accuracies with respect to averages from high resolution discrete return lidar data and matches between mean crown aspect ratio and mean crown radius maps and known vegetation type distributions both support the contention that the GO model results are not spurious when adjusted against MISR bidirectional reflectance factor data. These results highlight an alternative to empirical methods for the exploitation of moderate resolution remote sensing data in the mapping of woody plant canopies and assessment of woody biomass loss and recovery from disturbance in the southwestern United States and in parts of the world where similar environmental conditions prevail.",
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Chopping, M, Schaaf, CB, Zhao, F, Wang, Z, Nolin, AW, Moisen, GG, Martonchik, JV & Bull, M 2011, 'Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR', Remote Sensing of Environment, vol. 115, no. 11, pp. 2943-2953. https://doi.org/10.1016/j.rse.2010.08.031

Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR. / Chopping, Mark; Schaaf, Crystal B.; Zhao, Feng; Wang, Zhuosen; Nolin, Anne W.; Moisen, Gretchen G.; Martonchik, John V.; Bull, Michael.

In: Remote Sensing of Environment, Vol. 115, No. 11, 15.11.2011, p. 2943-2953.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR

AU - Chopping, Mark

AU - Schaaf, Crystal B.

AU - Zhao, Feng

AU - Wang, Zhuosen

AU - Nolin, Anne W.

AU - Moisen, Gretchen G.

AU - Martonchik, John V.

AU - Bull, Michael

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KW - BRDF

KW - Biomass

KW - Carbon

KW - Disturbance

KW - Earth Observing System

KW - Forest

KW - Land cover

KW - Modeling

KW - Moderate resolution

KW - Multi-angle

KW - Structure

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