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Author: Emilio Chuvieco
Publisher: World Scientific
ISBN: 981238569X
Category : Technology & Engineering
Languages : en
Pages : 280
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Book Description
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.
Author: Emilio Chuvieco
Publisher: World Scientific
ISBN: 981238569X
Category : Technology & Engineering
Languages : en
Pages : 280
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Book Description
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.
Author: Emilio Chuvieco
Publisher: World Scientific
ISBN: 981448525X
Category : Technology & Engineering
Languages : en
Pages : 280
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Book Description
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.
Author: Emilio Chuvieco
Publisher: Springer Science & Business Media
ISBN: 3642601642
Category : Science
Languages : en
Pages : 325
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Book Description
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.
Author: Emilio Chuvieco
Publisher: Springer Science & Business Media
ISBN: 140206358X
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
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.
Author: Peter van Oosterom
Publisher: Springer Science & Business Media
ISBN: 3540274685
Category : Science
Languages : en
Pages : 1412
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Book Description
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.
Author: Emilio Chuvieco
Publisher: Springer Science & Business Media
ISBN: 3642017541
Category : Technology & Engineering
Languages : en
Pages : 262
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Book Description
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.
Author: Ying Li
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 304
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Book Description
"This thesis deals with fire monitoring using remote sensing images. The first part of this thesis is devoted to novel global wildland fire detection algorithms, while the remainder concerns mapping of fire regions in high resolution remote sensing images. As a major natural disturbance that has tremendous impact on the environment, humans and the climate, fire is drawing increased attention from both scientists and the general public alike. The most practical and economically feasible manner of monitoring wild land fires is through remote sensing. To date, remote fire detection has been an active research field for many years and a number of algorithms have been proposed for processing satellite and airborne image data. Different from the current algorithms used in forest fire detection, this thesis proposes new approaches based on statistics and image models. These approaches are brought forward using different statistical image models. They incorporate the statistical properties of multi-spectral images and essentially treat fire pixels as anomalies in images. These algorithms discriminate fire pixels based on the Mahalanobis distance in multi-spectral feature space. The use of the Mahalanobis distance naturally incorporates the covariance of the multi-spectral image into the decision and requires the setting of a single detection threshold. ... We demonstrate the flexibility of our algorithm with images taken by two different types of sensors, the MODIS sensors and the Wildfire Airborne Sensor Project (WASP). ... To estimate the extent and spread of wild-land fires in high spatial resolution multi-spectral images, we propose fuzzy clustering algorithms to map fire extent, the active fire front, hot burn scar and smoke region based on a statistical model"--Abstract.
Author: D. Maktav
Publisher: IOS Press
ISBN: 1607504154
Category : Technology & Engineering
Languages : en
Pages : 648
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Book Description
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.
Author: George P. Petropoulos
Publisher: CRC Press
ISBN: 1498777597
Category : Mathematics
Languages : en
Pages : 551
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Book Description
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.
Author: John J. Qu
Publisher: Springer
ISBN: 3642325300
Category : Nature
Languages : en
Pages : 386
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Book Description
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.
