This book examines water resources, helps understand complexities in water management, and explains the use of geospatial technology. By 2050, the world will have nearly about 9.8 billion population and which is almost 2.5 to 3 billion added to the present population. Only 3% of world water resources are available for human consumption. Even some resources are polluted because of poor management. Water management is important since it helps determine future irrigation prospects. Management of water resources under set policies and regulations. Water is a more valuable commodity and the world is facing acute water shortages because of drought which is attributed to climate change and overuse. Many rivers are drying up, polluted and encroached. Now the challenge is whether future generations will have enough fresh water for living. Geospatial Technology i.e. Remote Sensing (RS) and GIS have gained considerable interest among earth and hydrological science communities for solving and understanding various complex issues and approaches towards water resources development and management. Water can provide sustainability to any region. Sustainability means that meet the needs of the present, without compromising the ability of future generations to meet their own needs. These are generally integrated to study a variety of natural resources and their characteristics. Major advancements have been accomplished in integrating remote sensing and GIS and they complement each other. RS is used for acquiring information for GIS. Remote sensing and GIS integration provide information on the spatial variation, extent, and potential and limitations of natural resources, which is essential for planning the strategy for sustainable development. Most hydrological or geomorphological models are developed in a GIS framework and these are helpful for the planning and management of water and decision-makers for sustainable development.

This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. It presents recent developments and applications specifically by utilizing new earth observation datasets such as TRMM/GPM, AMSR E/2, SMOS, SMAP and GCOM in combination with GIS, artificial intelligence, and hybrid techniques. By linking geospatial techniques with new satellite missions for earth and environmental science, the book promotes the synergistic and multidisciplinary activities of scientists and users working in the field of hydrological sciences.

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.

This book aims to exchange and share the experiences and research results on the geospatial technology applied in water resources management. It will present the most recent innovations, trends, challenges encountered and the solutions adopted in the area of geospatial technology. It will be beneficial for academicians, scientists, meteorologists, and consultants working in the field of water resources management.

This book focuses on the application of geospatial technologies to study the land use land cover (LULC) dynamics, agricultural water management, water resources assessment and modeling, and studies on natural disasters. LULC dynamics is one of the major research themes for studying global environmental change using remote sensing data. The section on LULC dynamics covers the multi-variate criteria for land use and land cover classification and change assessment in the mountainous regions. Further, LULC change detection of the Tons river basin and LULC dynamics at decadal frequency are studied to derive adaptation and mitigation strategies. Landscape-level forest disturbance modeling, together with conservation implications, is also included. The watershed management approach is necessary for comprehensive management of land and water resources of any region, where studies on multi-criteria analysis for rainwater harvesting planning and its impact on land use land cover transformations in rain-fed areas using geospatial technologies are presented in this book. The book will be useful for academics, water practitioners, scientists, water managers, environmentalists, and administrators, NGOs, researchers, and students who are actively involved in the application of geospatial technologies in LULC studies, agricultural water management and hydrological modelling and natural disasters for addressing the challenges being posed by climate change while addressing issues of food and water securities

Spatial Data on Water: Geospatial Technologies and Data Management focuses on the worldwide corroborated difficulties in accessing data, a major hindrance in conducting water related studies in several domains. Presents examples of research focused on water resource management Includes a guide on how to manage water data using a geographic information system and a spatial data infrastructure Provides several ideas and techniques to support integrated water data management