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Full-Text Articles in Life Sciences
Model Comparisons For Estimating Carbon Emissions From North American Wildland Fire, Nancy H. F. French, Willam J. De Groot, Liza K. Jenkins, Brendan M. Rogers, Ernesto Alvarado, Brian Amiro, Bernardus De Jong, Scott Goetz, Elizabeth Hoy, Edward Hyer, Robert Keane, B. E. Law, Donald Mckenzie, Steven G. Mcnulty, Roger Ottmar, Diego R. Perez-Salicrup, James Randerson, Kevin M. Robertson, Merritt Turetsky
Model Comparisons For Estimating Carbon Emissions From North American Wildland Fire, Nancy H. F. French, Willam J. De Groot, Liza K. Jenkins, Brendan M. Rogers, Ernesto Alvarado, Brian Amiro, Bernardus De Jong, Scott Goetz, Elizabeth Hoy, Edward Hyer, Robert Keane, B. E. Law, Donald Mckenzie, Steven G. Mcnulty, Roger Ottmar, Diego R. Perez-Salicrup, James Randerson, Kevin M. Robertson, Merritt Turetsky
Michigan Tech Research Institute Publications
Research activities focused on estimating the direct emissions of carbon from wildland fires across North America are reviewed as part of the North American Carbon Program disturbance synthesis. A comparison of methods to estimate the loss of carbon from the terrestrial biosphere to the atmosphere from wildland fires is presented. Published studies on emissions from recent and historic time periods and five specific cases are summarized, and new emissions estimates are made using contemporary methods for a set of specific fire events. Results from as many as six terrestrial models are compared. We find that methods generally produce similar results …
Forest Structure And Aboveground Biomass In The Southwestern United States From Modis And Misr, Mark Chopping, Crystal B. Schaaf, Feng Zhao, Zhuosen Wang, Anne Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull
Forest Structure And Aboveground Biomass In The Southwestern United States From Modis And Misr, Mark Chopping, Crystal B. Schaaf, Feng Zhao, Zhuosen Wang, Anne Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull
USDA Forest Service / UNL Faculty 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 …