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Full-Text Articles in Life Sciences

Biomass Burning Fuel Consumption Rates: A Field Measurement Database, T. T. Van Leeuwen, G. R. Van Der Werf, A. A. Hoffmann, R. G. Detmers, G. Rücker, Nancy H. F. French, S. Archibald, J. A. Carvalho Jr, G. D. Cook, William J. De Groot, C. Hély, Eric S. Kasischke, S. Kloster, Jessica Mccarty, M. L. Pettinari, P. Savadogo, E. C. Alvarado, L. Boschetti, S. Manuri, C. P. Meyer, F. Siegert, L. A. Trollope, W. S. W. Trollope Dec 2014

Biomass Burning Fuel Consumption Rates: A Field Measurement Database, T. T. Van Leeuwen, G. R. Van Der Werf, A. A. Hoffmann, R. G. Detmers, G. Rücker, Nancy H. F. French, S. Archibald, J. A. Carvalho Jr, G. D. Cook, William J. De Groot, C. Hély, Eric S. Kasischke, S. Kloster, Jessica Mccarty, M. L. Pettinari, P. Savadogo, E. C. Alvarado, L. Boschetti, S. Manuri, C. P. Meyer, F. Siegert, L. A. Trollope, W. S. W. Trollope

Michigan Tech Research Institute Publications

Landscape fires show large variability in the amount of biomass or fuel consumed per unit area burned. Fuel consumption (FC) depends on the biomass available to burn and the fraction of the biomass that is actually combusted, and can be combined with estimates of area burned to assess emissions. While burned area can be detected from space and estimates are becoming more reliable due to improved algorithms and sensors, FC is usually modeled or taken selectively from the literature. We compiled the peer-reviewed literature on FC for various biomes and fuel categories to understand FC and its variability better, and …


Remote Sensing Estimates Of Stand-Replacement Fires In Russia, 2002–2011, Alexander Krylov, Jessica L. Mccarty, Peter Potapov, Tatiana Loboda, Alexandra Tyukavina, Svetlana Turubanova, Matthew Hansen Oct 2014

Remote Sensing Estimates Of Stand-Replacement Fires In Russia, 2002–2011, Alexander Krylov, Jessica L. Mccarty, Peter Potapov, Tatiana Loboda, Alexandra Tyukavina, Svetlana Turubanova, Matthew Hansen

Michigan Tech Research Institute Publications

The presented study quantifies the proportion of stand-replacement fires in Russian forests through the integrated analysis of Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) data products. We employed 30 m Landsat Enhanced Thematic Mapper Plus derived tree canopy cover and decadal (2001–2012) forest cover loss (Hansen et al 2013 High-resolution global maps of 21st-century forest cover change Science 342 850–53) to identify forest extent and disturbance. These data were overlaid with 1 km MODIS active fire (earthdata.nasa.gov/data/near-real-time-data/firms) and 500 m regional burned area data (Loboda et al 2007 Regionally adaptable dNBR-based algorithm for burned area mapping from …


Modeling Regional-Scale Wildland Fire Emissions With The Wildland Fire Emissions Information System, Nancy H. F. French, Donald Mckenzie, Tyler Erickson, Benjamin Koziol, Michael Billmire, K. A. Endsley, Naomi K. Yager Scheinerman, Liza K. Jenkins, Mary Ellen Miller, Roger Ottmar, Susan Prichard Sep 2014

Modeling Regional-Scale Wildland Fire Emissions With The Wildland Fire Emissions Information System, Nancy H. F. French, Donald Mckenzie, Tyler Erickson, Benjamin Koziol, Michael Billmire, K. A. Endsley, Naomi K. Yager Scheinerman, Liza K. Jenkins, Mary Ellen Miller, Roger Ottmar, Susan Prichard

Michigan Tech Research Institute Publications

As carbon modeling tools become more comprehensive, spatial data are needed to improve quantitative maps of carbon emissions from fire. The Wildland Fire Emissions Information System (WFEIS) provides mapped estimates of carbon emissions from historical forest fires in the United States through a web browser. WFEIS improves access to data and provides a consistent approach to estimating emissions at landscape, regional, and continental scales. The system taps into data and tools developed by the U.S. Forest Service to describe fuels, fuel loadings, and fuel consumption and merges information from the U.S. Geological Survey (USGS) and National Aeronautics and Space Administration …