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University of Nebraska - Lincoln

United States National Aeronautics and Space Administration: Publications

Series

Biomass

Publication Year

Articles 1 - 5 of 5

Full-Text Articles in Physical Sciences and Mathematics

Forest Structure And Aboveground Biomass In The Southwestern United States From Modis And Misr, Mark Chopping, Crystal B. Schaaf, Feng Zhao, Anne W. Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull Jan 2011

Forest Structure And Aboveground Biomass In The Southwestern United States From Modis And Misr, Mark Chopping, Crystal B. Schaaf, Feng Zhao, Anne W. Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull

United States National Aeronautics and Space Administration: Publications

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 250 m 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 …


Characterizing 3d Vegetation Structure From Space: Mission Requirements, Forrest G. Hall, Kathleen Bergen, James B. Blair, Ralph Dubayah, Richard Houghton, George Hurtt, Josef Kellndorfer, Michael Lefsky, Jon Ranson, Sassan Saatchi, H.H. Shugart, Diane Wickland Jan 2011

Characterizing 3d Vegetation Structure From Space: Mission Requirements, Forrest G. Hall, Kathleen Bergen, James B. Blair, Ralph Dubayah, Richard Houghton, George Hurtt, Josef Kellndorfer, Michael Lefsky, Jon Ranson, Sassan Saatchi, H.H. Shugart, Diane Wickland

United States National Aeronautics and Space Administration: Publications

Human and natural forces are rapidly modifying the global distribution and structure of terrestrial ecosystems on which all of life depends, altering the global carbon cycle, affecting our climate now and for the foreseeable future, causing steep reductions in species diversity, and endangering Earth's sustainability. To understand changes and trends in terrestrial ecosystems and their functioning as carbon sources and sinks, and to characterize the impact of their changes on climate, habitat and biodiversity, new space assets are urgently needed to produce high spatial resolution global maps of the three-dimensional (3D) structure of vegetation, its biomass above ground, the carbon …


Mapping Biomass And Stress In The Sierra Nevada Using Lidar And Hyperspectral Data Fusion, Anu Swatantran, Ralph Dubayah, Dar A. Roberts, Michelle Hofton, J. Bryan Blair Jan 2011

Mapping Biomass And Stress In The Sierra Nevada Using Lidar And Hyperspectral Data Fusion, Anu Swatantran, Ralph Dubayah, Dar A. Roberts, Michelle Hofton, J. Bryan Blair

United States National Aeronautics and Space Administration: Publications

In this paper, we explored fusion of structural metrics from the Laser Vegetation Imaging Sensor (LVIS) and spectral characteristics from the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) for biomass estimation in the Sierra Nevada. In addition, we combined the two sensors to map species-specific biomass and stress at landscape scale. Multiple endmember spectral mixture analysis (MESMA) was used to classify vegetation from AVIRIS images and obtain sub-pixel fractions of green vegetation, non-photosynthetic vegetation, soil, and shade. LVIS metrics, AVIRIS spectral indices, and MESMA fractions were compared with field measures of biomass using linear and stepwise regressions at stand (1 ha) …


Retrieval Of Canopy Height Using Moderate-Resolution Imaging Spectroradiometer (Modis) Data, Zhuosen Wang, Crystal B. Schaaf, Philip Lewis, Yuri Knyazikhin, Mitchell A. Schull, Alan H. Strahler, Tian Yao, Ranga B. Myneni, Mark J. Chopping, Bryan J. Blair Jan 2011

Retrieval Of Canopy Height Using Moderate-Resolution Imaging Spectroradiometer (Modis) Data, Zhuosen Wang, Crystal B. Schaaf, Philip Lewis, Yuri Knyazikhin, Mitchell A. Schull, Alan H. Strahler, Tian Yao, Ranga B. Myneni, Mark J. Chopping, Bryan J. Blair

United States National Aeronautics and Space Administration: Publications

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 …


Forest Canopy Height From The Multiangle Imaging Spectroradiometer (Misr) Assessed With High Resolution Discrete Return Lidar, Mark Chopping, Anne Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull May 2009

Forest Canopy Height From The Multiangle Imaging Spectroradiometer (Misr) Assessed With High Resolution Discrete Return Lidar, Mark Chopping, Anne Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull

United States National Aeronautics and Space Administration: Publications

In this study retrievals of forest canopy height were obtained through adjustment of a simple geometricoptical (GO) model against red band surface bidirectional reflectance estimates from NASA's Multiangle Imaging SpectroRadiometer (MISR), mapped to a 250 m grid. The soil-understory background contribution was partly isolated prior to inversion using regression relationships with the isotropic, geometric, and volume scattering kernel weights of a Li-Ross kernel-driven bidirectional reflectance distribution function (BRDF) model. The height retrievals were assessed using discrete return lidar data acquired over sites in Colorado as part of the Cold Land Processes Experiment (CLPX) and used with fractional crown cover retrievals …