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Book Remote Sensing Modeling and Applications to Wildland Fires

Download or read book Remote Sensing Modeling and Applications to Wildland Fires written by John J. Qu and published by Springer. This book was released on 2014-12-12 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists and managers alike need timely, cost-effective, and technically appropriate fire-related information to develop functional strategies for the diverse fire communities. "Remote Sensing Modeling and Applications to Wildland Fires" addresses wildland fire management needs by presenting discussions that link ecology and the physical sciences from local to regional levels, views on integrated decision support data for policy and decision makers, new technologies and techniques, and future challenges and how remote sensing might help to address them. While creating awareness of wildland fire management and rehabilitation issues, hands-on experience in applying remote sensing and simulation modeling is also shared. This book will be a useful reference work for researchers, practitioners and graduate students in the fields of fire science, remote sensing and modeling applications. Professor John J. Qu works at the Department of Geography and GeoInformation Science at George Mason University (GMU), USA. He is the Founder and Director of the Environmental Science and Technology Center (ESTC) and EastFIRE Lab at GMU.

Book Forest Fire Risk Prediction

Download or read book Forest Fire Risk Prediction written by Rachael Nolan and published by Mdpi AG. This book was released on 2021-09-30 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globally, fire regimes are being altered by changing climatic conditions and land use changes. This has the potential to drive species extinctions and cause ecosystem state changes, with a range of consequences for ecosystem services. Accurate prediction of the risk of forest fires over short timescales (weeks or months) is required for land managers to target suppression resources in order to protect people, property, and infrastructure, as well as fire-sensitive ecosystems. Over longer timescales, prediction of changes in forest fire regimes is required to model the effect of wildfires on the terrestrial carbon cycle and subsequent feedbacks into the climate system. This was the motivation to publish this book, which is focused on quantifying and modelling the risk factors of forest fires. More specifically, the chapters in this book address four topics: (i) the use of fire danger metrics and other approaches to understand variation in wildfire activity; (ii) understanding changes in the flammability of live fuel; (iii) modeling dead fuel moisture content; and (iv) estimations of emission factors. The book will be of broad relevance to scientists and managers working with fire in different forest ecosystems globally.

Book Wildland Fire Danger Estimation and Mapping

Download or read book Wildland Fire Danger Estimation and Mapping written by Emilio Chuvieco and published by World Scientific. This book was released on 2003 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Development of GIS based Methods for Modeling Fire Hazard

Download or read book Development of GIS based Methods for Modeling Fire Hazard written by Mohamed Mansour Elshabrawy and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wildland fires are natural occurrences in the woodland landscape that play a vital ecological role in Canada's boreal forest region. However, they also endanger human life and can disrupt timber resources and other economic assets. Recently, wildfires have ravaged areas of British Columbia, Alberta, California, and other parts of North America, Europe, and Australia. Loss of human life, the economic repercussions in terms of suppression expenses and property damage have been staggering. Many of these fires have occurred near the wildland-urban interface, mostly natural regions increasingly subject to human development. As the population in these areas grows, there is a greater risk of economic impact and human loss. As a result, it is critical to provide an accurate classification of the green spaces as well as which areas pose the greatest risk of fire depending on the ignition sources found in the forested areas. Consequently, developing a fire risk assessment model can be used to effectively locate high risk areas/zones and form a foundational building block for conducting future research for fire prevention strategies or evacuation plans, and policy intervention. This model would also help in locating the low-risk areas/zones to be developed since they could add to the destructive consequences if ignored in the planning and expansion process. To develop an effective assessment model, this thesis has three main tasks. The first task is to provide a thorough review of existing literature, followed by background information that will help to build a contemporary, urban fire risk model. As a case study to form the basis of a fire risk model, this research uses anthropogenic, biologic, topographic, and climatic data from the City of Edmonton (CoE). This is then layered and mapped onto the City's geographic location using ArcGIS and Python scripting language and then combined with data obtained from large datasets. The datasets in this research are satellite imaginary, aerial LiDAR dataset, urban Primary Land and Vegetation Inventory (uPLVI), and Road Weather Information Systems (RWIS) data, used to extract 12 variables that represent the fire risk assessment model. Fire risk assessment maps are subsequently generated by processing and analyzing all the datasets using the analytical hierarchy process (AHP) technique. The output of this research effort is a fire risk model that identifies the locations with the highest risk of wildfire within the CoE. Secondly, this study forecasts the wildland fire risk for 2050 and 2080, given the climatic projections from IPCC RCP4.5 and RCP8.5 (Representative Concentration Pathway). This analysis offers a better understanding of the forecasted climate change by highlighting transportation development and evacuation planning and integrating a multitude of data sources, including temperatures, precipitation, wind speed, and humidity levels. Results indicate that from 2021 to 2050, the fire risk may increase by almost 20%. Furthermore, the risk will increase by another 11% from 2050 to 2080 for the City of Edmonton. Finally, a comprehensive discussion that illustrates all the findings of the fire risk maps, current and forecasted, is presented. The fire risk map and the road map of the CoE are overlayed to facilitate insight into transportation development and evacuation planning. To help create a climate resilient municipality, an ecological vulnerability classification map is constructed to identify developable areas and areas that should remain under preservation. Since creating awareness for climate adaptation and zone resiliency is a shared goal among stakeholders, a brief discussion on the role of each stakeholder is provided. The discussion covers strategies for fire prevention and mitigation in high-risk areas/zones, as well as establishing several cornerstones for strategic planning and action to strengthen climate resilience and the transportation development foundation of urban communities.

Book Advances in Remote Sensing and GIS Analysis

Download or read book Advances in Remote Sensing and GIS Analysis written by Peter M. Atkinson and published by John Wiley & Sons. This book was released on 1999-09-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications. With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.

Book Hazard Modeling and Assessment of the Nile Delta Coast

Download or read book Hazard Modeling and Assessment of the Nile Delta Coast written by Kamal Srogy Darwish and published by Springer Nature. This book was released on 2023-11-04 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the results of a doctoral thesis conducted under the supervision of two international governmental universities in Egypt and the USA. This book is very important for specialists in the field of Physical Geography with concentration of Geographic Information Science and Remote Sensing techniques for Coastal Hazard Assessment. It deals with coastal hazards and disasters using unique techniques and methods, such as Coastline Change Detection, Sea-Level Rise Modeling and Future Predication, Coastal Erosion Hazard Mapping, and Coastal Vulnerability Index. The integration of geospatial technologies that applied accurately in this book especially for the coastal hazard mitigation and protection devise evaluation makes it very helpful for researchers and academics, as well as for coastal and civil engineers.

Book Remote Sensing of Large Wildfires

Download or read book Remote Sensing of Large Wildfires written by Emilio Chuvieco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a systematic review of the different applications for remote sensing and geographical information system techniques in research and management of forest fires. The authors have been involved in this field of research for several years. The book also benefits from data generated within the Megafires project, founded under the DG-XII of the European Union. A clear integration of research and experience is provided. New data gathered from fires affecting European countries between 1991 and 1997 are included as well as satellite images and auxiliary cartographic information. Geographic Information System files have been included in the attached CD-ROM depicting land cover, elevation, Koeppen classification climates and NOAA-AVHRR data of all European Mediterranean Europe at 1 sq km resolution. All these files are in Idrisi format and can be easily accessed from any GIS program. An Idrisi viewer has also been included in the CD-ROM.

Book Spatial Modeling in GIS and R for Earth and Environmental Sciences

Download or read book Spatial Modeling in GIS and R for Earth and Environmental Sciences written by Hamid Reza Pourghasemi and published by Elsevier. This book was released on 2019-01-18 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Remote Sensing of Natural Hazards

Download or read book Remote Sensing of Natural Hazards written by Jay Gao and published by CRC Press. This book was released on 2023-06-16 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive coverage of remote sensing technology used to gather information on 12 types of natural hazards in the terrestrial sphere, biosphere, hydrosphere, and atmosphere. It clarifies in detail how to yield spatial and quantitative data on a natural hazard, including its spatial distribution, severity, causes, and the likelihood of occurrence. The author explains multiple methods of attaining data, describes the pros and cons of each method, and encourages readers to choose the best method applicable to their case. The author offers a practical approach to data analysis using the most appropriate methods and software. 1. Covers all major natural hazards including hurricanes, tornadoes, wildfires, and avalanches. 2. Studies each natural hazard holistically, ranging from spatial extent, severity, impact assessment, causes, and prediction of occurrence. 3. Explains different remotely sensed data and the most appropriate method used. 4. Compares different ways of sensing and clarifies the pros and cons of any selected data or their analysis. 5. Provides ample examples of each aspect of a natural hazard studied augmented with graphic illustrations and quality assurance information. All professionals working in the field of natural hazards, senior undergraduate, and graduate students, will find in-depth approaches and sufficient information to become knowledgeable in the methods of yielding and analyzing data provided with remote sensing technology, ultimately providing a deeper understanding of natural hazards.

Book Natural Hazards GIS Based Spatial Modeling Using Data Mining Techniques

Download or read book Natural Hazards GIS Based Spatial Modeling Using Data Mining Techniques written by Hamid Reza Pourghasemi and published by Springer. This book was released on 2018-12-13 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

Book Remote Sensing Techniques Aid in Preattack Planning for Fire Management

Download or read book Remote Sensing Techniques Aid in Preattack Planning for Fire Management written by Lucy Anne Salazar and published by . This book was released on 1982 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing techniques were investigated as an alternative for documenting selected preattack fire planning information. Locations of fuel models, road systems, and water i sources were recorded by Landsat satellite imagery and aerial photography for a portion of the Six Rivers National Forest in northwestern California. The two fuel model groups used were from the 1978 National Fire Danger Rating System and the Northern Forest Fire Laboratory. Landsat-derived fuel model data were digitized and computer analyzed by unsupervised and guided clustering techniques to produce a fuel model map of the area. Overall Landsat classification accuracies of fuel models were moderate-71 percent. This was mainly due to the incompatibilities found between fuel model descriptions and remote sensing capabilities. The results suggest, however, that a basic preattack plan that is moderately reliable, quickly attainable, and easily updated is feasible by applying remote sensing techniques.

Book Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management

Download or read book Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management written by Vijay P. Singh and published by Springer Nature. This book was released on 2023-01-01 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the problems in planning, building, and management strategies in the wake of application and expansion of remote sensing and GIS products in natural resources and infrastructure management. The book suggests proactive solutions to problems of natural resources and infrastructure management, providing alternatives for strategic planning, effective delivery, and growth perspectives. The uniqueness of the book is its broader spectrum of coverage with related interconnections and interdependences across science, engineering, and innovation. The book contains information that can be downscaled to the local level. Presenting a wide spectrum of viewpoints and approaches, the book is a collective of topics such as application to agriculture and forestry (land and landscape, agriculture, forestry management and deforestation), water resources and ecology (hydro-meteorological, climate diagnostics, and prognostics, water resources management, environment management, cross-scale ecology and resilience), urban management (urban planning, design, construction and operations of infrastructure, natural disasters, novel approaches to upgrade old infrastructure), hydro informatics, predictive and geospatial data analytics, synthesis, and management through the various processes, tools, and technologies.

Book Advances in Remote Sensing for Forest Monitoring

Download or read book Advances in Remote Sensing for Forest Monitoring written by Prem C. Pandey and published by John Wiley & Sons. This book was released on 2022-10-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Remote Sensing for Forest Monitoring An expert overview of remote sensing as applied to forests and other vegetation In Advances in Remote Sensing for Forest Monitoring, a team of distinguished researchers delivers an expansive and insightful discussion of the latest research on remote sensing technologies as they relate to the monitoring of forests, plantations, and other vegetation. The authors also explore the use of unmanned aerial vehicles and drones, as well as multisource and multi-sensor data – such as optical, SAR, LIDAR, and hyperspectral data. The book draws on the latest data and research to show how remote sensing solutions are being used in real-world settings. It offers contributions from researchers and practitioners from a wide variety of backgrounds and geographical regions to provide a diverse and global set of perspectives on the subject. Readers will also find: A thorough introduction to forest monitoring using remote sensing including recent advances in remote sensing technology Comprehensive explorations of sustainable forest management to enhance ecosystem services and livelihood security using a geospatial approach Case studies of monitoring the biochemical and biophysical parameters of forests, including carotene and xanthophyll content Practical advice on how to apply machine learning tools to remote sensing data Perfect for postgraduates, lecturers, and researchers in the fields of environmental science, forestry, and natural resource management, Advances in Remote Sensing for Forest Monitoring will also earn a place in the libraries of professionals and researchers working with remote sensing technology.

Book Handbook on Advances in Remote Sensing and Geographic Information Systems

Download or read book Handbook on Advances in Remote Sensing and Geographic Information Systems written by Margarita N. Favorskaya and published by Springer. This book was released on 2017-02-24 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling. Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications.

Book The Ecology of Fire

    Book Details:
  • Author : Robert J. Whelan
  • Publisher : Cambridge University Press
  • Release : 1995-08-10
  • ISBN : 0521328721
  • Pages : 364 pages

Download or read book The Ecology of Fire written by Robert J. Whelan and published by Cambridge University Press. This book was released on 1995-08-10 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wildfires kill many animals, but are populations of animals affected? How do animals survive the passage of fire? Why do some tree species survive and others die in a fire? Do frequent fires cause changes in plant community composition? Answering questions such as these requires an understanding of the ecological effects of fire. Aimed at senior undergraduate students, researchers, foresters and other land managers, Dr Whelan's book examines the changes wrought by fires with reference to general ecological theory. The impacts of fires on individual organisms, populations and communities are examined separately, and emphasis is placed on the importance of fire regime. Each chapter includes a listing of 'outstanding questions' that identify gaps in current knowledge. The book finishes by summarising the major aspects of ecology that are of particular relevance to management of fires - both protection against wildfires and deliberate use of fire.