Grassfirespresents the latest information from CSIRO on the behavior and spread of fires in grasslands. This second edition follows ten years of research aimed at improving the understanding of fundamental processes involved in the behavior of bushfires and grassfires. The book has been extensively revised and new case studies have been added to reflect the latest findings in research and investigations. The book covers all aspects of fire behavior and spread in the major types of grasses in Australia. It examines the factors that affect fire behavior in continuous grassy fuels; fire in spinifex fuels; the effect of weather and topography on fire spread; wildfire suppression strategies; and how to reconstruct grassfire spread after the fact. The three fire-spread meters designed by CSIRO and used for the prediction of fire danger and rate of spread of grassfires are explained and their use and limitations discussed. This new edition expands on the historical view of grassfires with respect to extensive Aboriginal burning, combustion chemistry, flame structure and temperature, spotting and spread in discontinuous/eaten out fuels, and the effect of wind in complex terrain. The case studies in the chapter "Wildfires and Their Suppression" have been updated and include the major wild grassfire events of recent years, the January 2003 ACT fires and the 2005 Wangary, SA fire. The "Myths, Facts and Fallacies" chapter includes new myths and a new section on personal safety during a wild grass fire. Of interest to all rural fire fighters and rural landholders, students and teachers of courses on landscape and ecological processes, rural and peri-urban dwellers, fire authorities and researchers.

Although ecosystems, humans, and fire have coexisted for millennia, changes in geology, ecology, hydrology, and climate as well as sociocultural, regulatory, and economic factors have converged to make wildland fire management exceptionally challenging for U.S. federal, state, and local authorities. Given the mounting, unsustainable costs and difficulty translating existing wildland fire science into policy, the National Academies of Sciences, Engineering, and Medicine organized a 1-day workshop to focus on how a century of wildland fire research can contribute to improving wildland fire management. This publication summarizes the presentations and discussions from the workshop.

Describes the experiences of a newcomer to the Yukon when he attempts to hike through the snow to reach a mining claim.

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

This report describes a new set of standard fire behavior fuel models for use with Rothermels surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.