Remote Sensing in Hydrology and Water Management

Remote Sensing in Hydrology and Water Management PDF

Author: Gert A. Schultz

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 498

ISBN-13: 3642595839

DOWNLOAD EBOOK →

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.

The Use of Remote Sensing in Hydrology

The Use of Remote Sensing in Hydrology PDF

Author: Frédéric Frappart

Publisher: MDPI

Published: 2018-06-01

Total Pages: 259

ISBN-13: 3038429090

DOWNLOAD EBOOK →

This book is a printed edition of the Special Issue "The Use of Remote Sensing in Hydrology" that was published in Water

Groundwater and Society

Groundwater and Society PDF

Author: Pravat Kumar Shit

Publisher: Springer Nature

Published: 2021-03-12

Total Pages: 535

ISBN-13: 3030641368

DOWNLOAD EBOOK →

This volume advances the scientific understanding, development, and application of geospatial technologies related to groundwater resource management, mapping, monitoring, and modelling using up-to-date remote sensing and GIS techniques. The book further provides a critical analysis of the debates and discourses surrounding groundwater resources and society, illustrates the relationship between groundwater resources and precision agriculture for societal development, and describes novel, region-specific management strategies and techniques for sustainability with case studies. The book is organized into three parts: (I) Groundwater resources and societal development; (II) Groundwater availability, quality and pollution; and (III) Sustainable groundwater resources management. Each section begins with a short introduction that includes an overview of the papers in that section. Individual chapters focus on the core themes of research and knowledge along with some topics that have received lesser attention. The book will be of interest to water resource planners and decision-makers, academic researchers, policy makers, NGOs, and academic researchers and students in Geography, Geophysics, Hydrology, Remote Sensing & GIS, Agriculture, Soil Science, and Agronomy.

Remote Sensing and Water Resources

Remote Sensing and Water Resources PDF

Author: A. Cazenave

Publisher: Springer

Published: 2016-05-04

Total Pages: 337

ISBN-13: 3319324497

DOWNLOAD EBOOK →

This book is a collection of overview articles showing how space-based observations, combined with hydrological modeling, have considerably improved our knowledge of the continental water cycle and its sensitivity to climate change. Two main issues are highlighted: (1) the use in combination of space observations for monitoring water storage changes in river basins worldwide, and (2) the use of space data in hydrological modeling either through data assimilation or as external constraints. The water resources aspect is also addressed, as well as the impacts of direct anthropogenic forcing on land hydrology (e.g. ground water depletion, dam building on rivers, crop irrigation, changes in land use and agricultural practices, etc.). Remote sensing observations offer important new information on this important topic as well, which is highly useful for achieving water management objectives.Over the past 15 years, remote sensing techniques have increasingly demonstrated their capability to monitor components of the water balance of large river basins on time scales ranging from months to decades: satellite altimetry routinely monitors water level changes in large rivers, lakes and floodplains. When combined with satellite imagery, this technique can also measure surface water volume variations. Passive and active microwave sensors offer important information on soil moisture (e.g. the SMOS mission) as well as wetlands and snowpack. The GRACE space gravity mission offers, for the first time, the possibility of directly measuring spatio-temporal variations in the total vertically integrated terrestrial water storage. When combined with other space observations (e.g. from satellite altimetry and SMOS) or model estimates of surface waters and soil moisture, space gravity data can effectively measure groundwater storage variations. New satellite missions, planned for the coming years, will complement the constellation of satellites monitoring waters on land. This is particularly the case for the SWOT mission, which is expected to revolutionize land surface hydrology. Previously published in Surveys in Geophysics, Volume 37, No. 2, 2016

Geographical Information Systems in Hydrology

Geographical Information Systems in Hydrology PDF

Author: V.P. Singh

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 453

ISBN-13: 9401587450

DOWNLOAD EBOOK →

The last few years have witnessed an enormous interest in application of GIS in hydrology and water resources. This is partly evidenced by organization of sev eral national and international symposia or conferences under the sponsorship of various professional organizations. This increased interest is, in a large measure, in response to growing public sensitivity to environmental quality and management. The GIS technology has the ability to capture, store, manipulate, analyze, and visualize the diverse sets of geo-referenced data. On the other hand, hydrology is inherently spatial and distributed hydrologic models have large data requirements. The integration of hydrology and GIS is therefore quite natural. The integration involves three major components: (1) spatial data construction, (2) integration of spatial model layers, and (3) GIS and model interface. GIS can assist in design, calibration, modification and comparison of models. This integration is spreading worldwide and is expected to accelerate in the foreseeable future. Substantial op portunities exist in integration of GIS and hydrology. We believe there are enough challenges in use of GIS for conceptualizing and modeling complex hydrologic processes and for globalization of hydrology. The motivation for this book grew out of the desire to provide under one cover a range of applications of GIS tech nology in hydrology. It is hoped that the book will stimulate others to write more comprehensive texts on this subject of growing importance.

GIS and Geocomputation for Water Resource Science and Engineering

GIS and Geocomputation for Water Resource Science and Engineering PDF

Author: Barnali Dixon

Publisher: John Wiley & Sons

Published: 2016-02-08

Total Pages: 579

ISBN-13: 1118354133

DOWNLOAD EBOOK →

GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals of geographic information systems but also demonstrates how GIS and mathematical models can be integrated to develop spatial decision support systems to support water resources planning, management and engineering. The book uses a hands-on active learning approach to introduce fundamental concepts and numerous case-studies are provided to reinforce learning and demonstrate practical aspects. The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially-oriented sustainable solutions. In addition to providing a strong grounding on fundamentals, the book also demonstrates how GIS can be combined with traditional physics-based and statistical models as well as information-theoretic tools like neural networks and fuzzy set theory.