Global Changes and Natural Disaster Management: Geo-information Technologies. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2017
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- Neu
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Artikelbeschreibung des Verkäufers
Global Changes and Natural Disaster Management: Geo-information Technologies | Saied Pirasteh (u. a.) | Buch | xv | Englisch | 2017 | Springer | EAN 9783319518435 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Bestandsnummer des Verkäufers 111066074
- Titel
- Global Changes and Natural Disaster Management: Geo-information Technologies
- Autor
- Saied Pirasteh (u. a.)
- Verlag
- Springer
- Erscheinungsjahr
- 2017
- Zustand
- Neu
- Einband
- Buch
- Sprache
- Englisch
- ISBN-10
- 3319518437
- ISBN-13
- 9783319518435
- Artikelgewicht
- 580 Gramm
- Abmessungen
- 241 x 160 x 18 mm
- Verkäuferkataloge
- Bücher
This book presents ongoing research and ideas related to earth observations and global change, natural hazards and disaster management studies, with respect to geospatial information technology, remote sensing, and global navigation satellite systems. Readers will discover uses of advanced geospatial tools, spatiotemporal models, and earth observation systems. Chapters identify the international aspects of the coupled social, land and climate systems in global change studies, and consider such global challenges as agriculture monitoring, the smart city, and risk assessment.
The work presented here has been carefully selected, edited, and peer reviewed in order to advance research and development, as well as to encourage innovative applications of Geomatics technologies in global change studies. The book will appeal not only to academicians, but also to professionals, politicians and decision makers who wish to learn from the very latest and most innovative, quality research in this area of global change and natural disaster management.
Contributions are drawn from revised submissions based on state-of-the-art papers from the 7th GiT4NDM - 5th EOGC, 2015 event.
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Über die Autorin bzw. den Autor
Saied Pirasteh is the Director of WIDM.Inc (www.widm.ca) Canada. He is also a Senior Scientist and the Assistant Head of the Mobile Mapping Lab at University of Waterloo. His research skills are in multi-disciplinary in applied geology and remote sensing & GIS applications including structural geology, exploration, and tectonic geomorphology, hydrology, watershed basin analysis, environmental issues and climate change, natural resources, natural hazards, and disaster management.
He obtained his Bachelor (1998), Master (2000), and PhD in 2004 from Aligarh Muslim University, India. He has supervised 14 PhD and MSc students internationally. He is also pursuing his second PhD in geography and environmental management (Applied LiDAR and Mobile Laser Scanning Systems) at the University of Waterloo. He is author/co-author of more than 150 publications in refereed journals, conference proceedings and books. He is currently the Editor-in-Chief of the International Geoinformatics Research and Development Journal (IGRDJ); and the founder of the International Association of Geo-information and Communication Technologies (GeoICT) Ontario, as well as International Conference on Geo-information Technologies for Natural Disaster Management (GiT4NDM).
Jonathan Li is professor of geomatics at the Department of Geography and Environmental Management. He holds a Ph.D. degree in geomatics engineering from the University of Cape Town, South Africa in 2000. Prior to joining the University of Waterloo in 2007, he was on the faculty at Ryerson University and the University of Regina (2000-2006).
Professor Li’s research interests lie mainly in the areas of remote sensing and geographical information science. The focus is placed on use of the state-of-the-art Earth observation and mobile mapping systems to derive spatial and attribute information to support effective urban-suburban planning and environmental management activities; to extract geometric information of urban structures for developing theories and models of urban morphology; to detect land use and land cover changes to study spatiotemporal dynamics and consequences of urbanization as a major form of global changes.
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