
Applications of Remote Sensing/ GIS in Water Resources and Flooding Risk Managements
MDPI (Publisher)
1st Edition
Published on 14. June 2018
Book
Paperback/Softback
VIII, 222 pages
978-3-03842-982-1 (ISBN)
Description
Remote sensing and GIS play critical roles in water resource and flood inundation mapping and risk management. Remote sensing provides data sources for mapping water resources (snow and glaciers, water bodies, soil moisture and groundwater), measuring hydrological fluxes (ET, precipitation and river discharge), and monitoring drought and flooding inundation, while GIS provides the best tools for water resources, drought and flooding risk management and for setting up hydrologic models, inputting data processing and output analyses and visualizations. This Special Issue Book presents the best practices, cutting-edge technologies and applications of remote sensing, GIS and hydrologic models for water resources mapping, satellite rainfall measurements, runoff simulation, water body and flood inundation mapping and risk management. The latest technologies applied include 3D model analysis and visualization of glaciers, UAV video image classification for turf grass mapping and irrigation planning, ground penetration radar for soil moisture estimates, TRMM and GPM satellite rainfall measurements, storm hyetograph analysis, rainfall runoff and urban flooding simulation, satellite radar and optical image classification for urban water bodies and flooding inundation. The application of these technologies is expected to greatly relieve the pressures on water resources and assist in better mitigating and adapting to the impact of drought and flooding.
More details
Language
English
Place of publication
Basel
Switzerland
Target group
College/higher education
Professional and scholarly
Professionals/Scholars
Edition type
New edition
Product notice
Klappenbroschur
Illustrations
Illustrations
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 16 mm
Weight
499 gr
ISBN-13
978-3-03842-982-1 (9783038429821)
Schweitzer Classification
Persons
Guest editor
Department of Geological Sciences, University of Texas at San Antonio, TX, USA
School of Geography and Planning, Sun Yat-sen University