Remote Sensing in Hydrology and Water Management


Book Description

The book provides comprehensive information on possible applications of remote sensing data for hydrological monitoring and modelling as well as for water management decisions. Mathematical theory is provided only as far as it is necessary for understanding the underlying principles. The book is especially timely because of new programs and sensors that are or will be realised. ESA, NASA, NASDA as well as the Indian and the Brazilian Space Agency have recently launched satellites or developed plans for new sensor systems that will be especially pertinent to hydrology and water management. New techniques are presented whose structure differ from conventional hydrological models due to the nature of remotely sensed data.
















Scaling Up in Hydrology Using Remote Sensing


Book Description

Sealing up in Hydrology using Remote Sensing Edited by J. B. Stewart Institute of Hydrology, UK E. T. Engman NASA Goddard Space Flight Center, USA R. A. Feddes Wageningen Agricultural University, The Netherlands Y. Kerr Centre d’Etudes Spatiales de la Biosphere, France The most pressing modern environmental problems are considered to affect the entire globe. For example, climate change, deforestation and desertification are all happening on such a large scale that they may affect the sustainability of man’s future. What is needed to address this question quantitatively are more reliable data on large scale land use and land-use change, and their impacts on water resources and climate. The catch is that we are never going to be able to measure directly key hydrological and meteorological variables at enough points on the ground to give adequate description of the large areas (regions and continents) for which information is required. The only way to get this is via large scale modelling and the development of remote sensing techniques. This book brings together the presentations made at a recent workshop by experts, who met to consider the problems of scaling up from local to global spatial scales and from the instantaneous satellite measurements to daily or longer time scales. The authors’ collective views represent the state of the art of their science as seen by an active international remote sensing community, and ground and planetary-based measurement scientists and modellers. The front cover illustration is reproduced courtesy of N. Fey




Scale in Remote Sensing and GIS


Book Description

The recent emergence and widespread use of remote sensing and geographic information systems (GIS) has prompted new interest in scale as a key component of these and other geographic information technologies. With a balanced mixture of concepts, practical examples, techniques, and theory, Scale in Remote Sensing and GIS is a guide for students and users of remote sensing and GIS who must deal with the issues raised by multiple temporal and spatial scales. Sixteen pages of full-color photographs help demonstrate key points made in the text.




Remote Sensing in Hydrology and Water Resources Management


Book Description

Water resources are the most valuable resources of sustainable socio-economic development, which is significantly affected by climate change and human activities. Water resources assessment is an urgent need for implementation of the perfect water resources management, but it is difficult to accurately evaluate the quantity and quality of water resources, especially in arid regions and high-altitude regions with sparse gauged data. This book hosts 24 papers devoted to remote sensing in hydrology and water resources management, which summarizes the recent advancement in remote sensing technology for hydrology analysis such as satellite remote sensing for water resources management, water quality monitoring and evaluation using remote sensing data, remote sensing for detecting the global impact of climate extremes, the use of remote sensing data for improved calibration of hydrological models, and so on. In general, the book will contribute to promote the application of remote sensing technology in water resources.




Spatial Patterns in Catchment Hydrology


Book Description

Describes use of observed patterns in understanding and modelling hydrological response, for researchers and graduate students.




Remote Sensing of Energy Fluxes and Soil Moisture Content


Book Description

Integrating decades of research conducted by leading scientists in the field, Remote Sensing of Energy Fluxes and Soil Moisture Content provides an overview of state-of-the-art methods and modeling techniques employed for deriving spatio-temporal estimates of energy fluxes and soil surface moisture from remote sensing. It also underscores the range of such techniques available nowadays as well as the operationally distributed networks that provide today in-situ validated relevant observations. The book brings together three types of articles: Comprehensive reviews that examine the developments in concepts, methods, and techniques employed in deriving land surface heat fluxes as well as soil surface moisture on field, regional, and large scales, paying particular emphasis to the techniques exploiting Earth Observation (EO) technology Detailed insights into the principles and operation of the most widely applied approaches for the quantification and analysis of surface fluxes and soil moisture with case studies that directly show the great applicability of remote sensing in this field, or articles discussing specific issues in the retrievals of those parameters from space Focused articles integrating current knowledge and scientific understanding in the remote sensing of energy fluxes and soil moisture, that are highlighting the main issues, challenges, and future prospects of this emerging technology. Designed with different users in mind, the book is organized in four more or less independent units that make specific information easy to find. It presents a discussion on the future trends and prospects, underlying the scientific challenges that need to be addressed adequately in order to derive more accurate estimates of those parameters from space.