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The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the local and global scale. The questions addressed concern the estimation of fuel moisture content, the description of fuel structural properties, the estimation of meteorological danger indices, the analysis of human factors associated with fire ignition, and the integration of different risk factors in a geographic information system for fire danger management.
Wildland Fire Danger Estimation and Mapping by Emilio Chuvieco Pdf
The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the local and global scale. The questions addressed concern the estimation of fuel moisture content, the description of fuel structural properties, the estimation of meteorological danger indices, the analysis of human factors associated with fire ignition, and the integration of different risk factors in a geographic information system for fire danger management.
Weather Guide for the Canadian Forest Fire Danger Rating System by B. D. Lawson Pdf
This weather guide includes detailed specifications for locating and instrumenting fire weather stations, taking weather observations, and overwintering the Drought Code component of the FWI System. The sensitivity of the FWI System components to weather elements is represented quantitatively. The importance of weather that is not directly observable is discussed in the context of fuel moisture and fire behavior. Current developments in the observation and measurement of fire weather and the forecasting of fire danger are discussed, along with the implications for the reporting of fire weather of increasingly automated fire management information systems.
Earth Observation of Global Change by Emilio Chuvieco Pdf
Global Change is increasingly considered a critical topic in environmental research. Remote sensing methods provide a useful tool to monitor global variables, since they provide a systematic coverage of the Earth’s surface, at different spatial, spectral and temporal resolutions. This book offers an analysis of the leading missions in global Earth observation, and reviews the main fields in which remote sensing methods are providing vital data for global change studies.
Remote Sensing of Hydrometeorological Hazards by George P. Petropoulos,Tanvir Islam Pdf
Extreme weather and climate change aggravate the frequency and magnitude of disasters. Facing atypical and more severe events, existing early warning and response systems become inadequate both in scale and scope. Earth Observation (EO) provides today information at global, regional and even basin scales related to agrometeorological hazards. This book focuses on drought, flood, frost, landslides, and storms/cyclones and covers different applications of EO data used from prediction to mapping damages as well as recovery for each category. It explains the added value of EO technology in comparison with conventional techniques applied today through many case studies.
Remote Sensing for a Changing Europe by D. Maktav Pdf
These proceedings cover 84 papers, presented earlier at the ‘Remote Sensing for a Changing Europe’ symposium held in Istanbul, Turkey (2-7 June 2008). Technical presentations were on all fields of geoinformation and remote sensing, but especially on the following topics: geoinformation and remote sensing, new sensors and instruments, image processing techniques, time series analysis, data fusion, imaging spectroscopy, urban remote sensing, land use and land cover, radar remote sensing, LIDAR, land degradation and desertification, hydrology, land ice & snow, coastal zone, forestry, agriculture, 3D spatial analysis and world heritage.
The Fire and Fuels Extension to the Forest Vegetation Simulator by Elizabeth D. Reinhardt Pdf
The Fire and Fuels Extension (FFE) to the Forest Vegetation Simulator (FVS) simulates fuel dynamics and potential fire behavior over time, in the context of stand development and management. Existing models of fire behavior and fire effects were added to FVS to form this extension. New submodels representing snag and fuel dynamics were created to complete the linkages. This report contains four chapters. Chapter 1 states the purpose and chronicles some applications of the model. Chapter 2 details the model's content, documents links to the supporting science, and provides annotated examples of the outputs. Chapter 3 is a user's guide that presents options and examples of command usage. Chapter 4 describes how the model was customized for use in different regions. Fuel managers and silviculturists charged with managing fire-prone forests can use the FFEFVS and this document to better understand and display the consequences of alternative management actions.
Geographic Information Systems - Data Science Approach by Rifaat Abdalla Pdf
Dive into the dynamic world of Geographic Information Systems (GIS) and data science with our comprehensive book in which innovation and insights converge. This book presents a pioneering exploration at the intersection of GIS and data science, providing a comprehensive view of their symbiotic relationship and transformative potential. It encapsulates advanced methodologies, real-world applications, and interdisciplinary approaches that redefine how we perceive and utilize spatial data. Offering a gateway to cutting-edge research and practical insights, this book serves as a crucial resource for scholars, practitioners, and enthusiasts alike. It addresses pressing challenges across diverse domains, from environmental studies to public health and predictive analytics, demonstrating the paramount significance of integrating GIS with data science methodologies. It is an essential compass guiding readers toward a deeper understanding and application of these dynamic fields in today's data-driven world.
Earth Observation of Wildland Fires in Mediterranean Ecosystems by Emilio Chuvieco Pdf
Wildland fires are becoming one of the most critical environmental factors affecting a wide range of ecosystems worldwide. In Mediterranean ecosystems (including also South-Africa, California, parts of Chile and Australia), wildland fires are recurrent phenomena every summer, following the seasonal drought. As a result of changes in traditional land use practices, and the impact of recent climate warming, fires have more negative impacts in the last years, threatening lives, socio-economic and ecological values. The book describes the ecological context of fires in the Mediterranean ecosystems, and provides methods to observe fire danger conditions and fire impacts using Earth Observation and Geographic Information System technologies.
Safety and Reliability. Theory and Applications by Marko Cepin,Radim Bris Pdf
Safety and Reliability – Theory and Applications contains the contributions presented at the 27th European Safety and Reliability Conference (ESREL 2017, Portorož, Slovenia, June 18-22, 2017). The book covers a wide range of topics, including: • Accident and Incident modelling • Economic Analysis in Risk Management • Foundational Issues in Risk Assessment and Management • Human Factors and Human Reliability • Maintenance Modeling and Applications • Mathematical Methods in Reliability and Safety • Prognostics and System Health Management • Resilience Engineering • Risk Assessment • Risk Management • Simulation for Safety and Reliability Analysis • Structural Reliability • System Reliability, and • Uncertainty Analysis. Selected special sessions include contributions on: the Marie Skłodowska-Curie innovative training network in structural safety; risk approaches in insurance and fi nance sectors; dynamic reliability and probabilistic safety assessment; Bayesian and statistical methods, reliability data and testing; oganizational factors and safety culture; software reliability and safety; probabilistic methods applied to power systems; socio-technical-economic systems; advanced safety assessment methodologies: extended Probabilistic Safety Assessment; reliability; availability; maintainability and safety in railways: theory & practice; big data risk analysis and management, and model-based reliability and safety engineering. Safety and Reliability – Theory and Applications will be of interest to professionals and academics working in a wide range of industrial and governmental sectors including: Aeronautics and Aerospace, Automotive Engineering, Civil Engineering, Electrical and Electronic Engineering, Energy Production and Distribution, Environmental Engineering, Information Technology and Telecommunications, Critical Infrastructures, Insurance and Finance, Manufacturing, Marine Industry, Mechanical Engineering, Natural Hazards, Nuclear Engineering, Offshore Oil and Gas, Security and Protection, Transportation, and Policy Making.
Wildfire Risk by Wade E. Martin,Carol Raish,Brian Kent Pdf
The continuing encroachment of human settlements into fire-prone areas and extreme fire seasons in recent years make it urgent that we better understand both the physical and human dimensions of managing the risk from wildfire. Wildfire Risk follows from our awareness that increasing public knowledge about wildfire hazard does not necessarily lead to appropriate risk reduction behavior. Drawing heavily upon health and risk communication, and risk modeling, the authors advance our understanding of how individuals and communities respond to wildfire hazard. They present results of original research on the social, economic, and psychological factors in responses to risk, discuss how outreach and education can influence behavior, and consider differences among ethnic/racial groups and between genders with regard to values, views, and attitudes about wildfire risk. They explore the role of public participation in risk assessment and mitigation, as well as in planning for evacuation and recovery after fire. Wildfire Risk concludes with a dedicated section on risk-modeling, with perspectives from decision sciences, geography, operations research, psychology, experimental economics, and other social sciences.
Handbook of Environmental and Ecological Statistics by Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith Pdf
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Geo-information for Disaster Management by Peter van Oosterom,Siyka Zlatanova,Elfriede Fendel Pdf
Geo-information technology can be of considerable use in disaster management, but with considerable challenge in integrating systems, interoperability and reliability. This book provides a broad overview of geo-information technology, software, systems needed, currently used and to be developed for disaster management. The text invites discussion on systems and requirements for use of geo-information under time and stress constraints and unfamiliar situations, environments and circumstances.
Fundamentals of Satellite Remote Sensing by Emilio Chuvieco Pdf
An extensive review of remote sensing principles with an emphasis on environmental applications, Fundamentals of Satellite Remote Sensing discusses a wide range of topics, from physical principles to data acquisition systems and on to visual and digital interpretation techniques. The text focuses on the interpretation and analysis of remote sensing images and how they improve our understanding of environmental processes and their interaction with human activities. The authors discuss new interpretation approaches, including hyperspectral analysis, high-spatial resolution data, and radiative transfer models. The presentation includes an analysis of accuracy assessment methods and demonstrates how to integrate remote sensing results with geographic information systems. It also covers recent missions, such as Terra-Aqua, Envisat, Ikonos-Quickbird-Geoeye and SPOT-5, as well as LIDAR and interpherometric radar. The discussion of visual criteria to extract interpretation from satellite images emphasizes differences and similarities with conventional photo-interpretation techniques. A chapter on accuracy assessment and the connection between remote sensing and geographic information systems helps readers extend the interpretation of satellite images to a more operational, applications-oriented framework.
Spatial Modeling in GIS and R for Earth and Environmental Sciences by Hamid Reza Pourghasemi,Candan Gokceoglu Pdf
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example