Life Sciences Commons^™

Rapid Response Tools And Datasets For Post-Fire Modeling: Linking Earth Observations And Process-Based Hydrological Models To Support Post-Fire Remediation, Mary Ellen Miller, Michael Billmire, William J. Elliot, K. A. Endsley, P. R. Robichaud

Michigan Tech Research Institute Publications

Preparation is key to utilizing Earth Observations and process-based models to support post-wildfire mitigation. Post-fire flooding and erosion can pose a serious threat to life, property and municipal water supplies. Increased runoff and sediment delivery due to the loss of surface cover and fire-induced changes in soil properties are of great concern. Remediation plans and treatments must be developed and implemented before the first major storms in order to be effective. One of the primary sources of information for making remediation decisions is a soil burn severity map derived from Earth Observation data (typically Landsat) that reflects fire induced changes …

Using The Landsat Data Archive To Assess Long-Term Regional Forest Dynamics Assessment In Eastern Europe, 1985-2012, S. Turubanova, P. Potapov, A. Krylov, A. Tyukavina, Jessica L. Mccarty, V. C. Radeloff, M. C. Hansen

Michigan Tech Research Institute Publications

Abstract. Dramatic political and economic changes in Eastern European countries following the dissolution of the “Eastern Bloc” and the collapse of the Soviet Union greatly affected land-cover and land-use trends. In particular, changes in forest cover dynamics may be attributed to the collapse of the planned economy, agricultural land abandonment, economy liberalization, and market conditions. However, changes in forest cover are hard to quantify given inconsistent forest statistics collected by different countries over the last 30 years. The objective of our research was to consistently quantify forest cover change across Eastern Europe from 1985 until 2012 using the complete Landsat …

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

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

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 …

Modeling Acute Respiratory Illness During The 2007 San Diego Wildland Fires Using A Coupled Emissions-Transport System And General Additive Modeling, Brian Thelen, Nancy H. F. French, Benjamin W. Koziol, Michael Billmire, Robert Chris Owen, Jeffrey Johnson, Michele Ginsberg, Tatiana Loboda, Shiliang Wu

Michigan Tech Research Institute Publications

Background

A study of the impacts on respiratory health of the 2007 wildland fires in and around San Diego County, California is presented. This study helps to address the impact of fire emissions on human health by modeling the exposure potential of proximate populations to atmospheric particulate matter (PM) from vegetation fires. Currently, there is no standard methodology to model and forecast the potential respiratory health effects of PM plumes from wildland fires, and in part this is due to a lack of methodology for rigorously relating the two. The contribution in this research specifically targets that absence by modeling …

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 …