This book is a useful guide to employing remote sensing data to explain and illustrate interactions between atmospheric, oceanic and hydrological processes, incorporating the latest developments in the field. A number of applications, such as water resources management, environmental monitoring, climate prediction, agriculture, and preparation for and mitigation of extreme weather events are characterised by widely varying requirements for the spatial, temporal and spectral resolutions of remotely sensed data. To reflect this diversity of needs, this book considers a range of available data assimilation methods and technology transfer practices to give the reader thorough coverage of the different aspects of the subject area and to identify potential growth areas of remote sensing applications. Ideal for both students and professionals, this book provides a fuller picture of the subject, with the inclusion of related subjects such as data management and geomorphology, and two case histories of water resource management, dealing with water harvesting and water pollution.
Table of Contents
Part 1: Remote-sensing sensors, data retrieval and assimilation, and techonology transfer1 Remote sensing and hydrology 2 Hydrologic data assimilation 3 Analysis of remotely sensed data 4 Technology transfer in remote-sensing applications Part 2: Remote-sensing data applications5 Computing and mapping of evapotranspiration 6 Satellite remote sensing of soil moisture 7 Ensemble streamflow forecasting: methods and applications 8 Regional climatic variability and its impacts on flood and drought hazards 9 Climate drivers, streamflow forecasting, and flood risk management 10 Remote sensing in water resource management 11 Geospatial information technology in watershed Part 3: Water resource management: case histories12 Runoff agroforestry 13 Water pollution and its numerical modeling in coastal watersheds