rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: GIS and geocomputation for water resource science and engineering
  name:
    name part: Dixon, Barnali
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Uddameri, Venkatesh
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: 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.
  table of contents: Title Page; Copyright; Table of Contents; Dedication; Preface; About the Companion Website; List of Acronyms; Part I: GIS, Geocomputation, and GIS Data; Chapter 1: Introduction; 1.1 What is geocomputation?; 1.2 Geocomputation and water resources science and engineering; 1.3 GIS-enabled geocomputation in water resources science and engineering; 1.4 Why should water resources engineers and scientists study GIS; 1.5 Motivation and organization of this book; 1.6 Concluding remarks; Conceptual questions; References; Chapter 2: A Brief History of GIS and Its Use in Water Resources Engineering
  table of contents: 2.1 Introduction2.2 Geographic Information Systems (GIS)-software and hardware; 2.3 Remote sensing and global positioning systems and development of GIS; 2.4 History of GIS in water resources applications; 2.5 Recent trends in GIS; 2.6 Benefits of using GIS in water resources engineering and science; 2.7 Challenges and limitations of GIS-based approach to water resources engineering; 2.8 Concluding remarks; Conceptual questions; References; Chapter 3: Hydrologic Systems and Spatial Datasets; 3.1 Introduction; 3.2 Hydrological processes in a watershed
  table of contents: 3.3 Fundamental spatial datasets for water resources planning: management and modeling studies3.4 Sources of data for developing digital elevation models; 3.5 Sensitivity of hydrologic models to DEM resolution; 3.6 Accuracy issues surrounding land use land cover maps; 3.7 Sensitivity of hydrologic models to LULC resolution; 3.8 Sources of data for developing soil maps; 3.9 Accuracy issues surrounding soil mapping; 3.10 Sensitivity of hydrologic models to soils resolution; 3.11 Concluding remarks; Conceptual questions; References; Chapter 4: Water-Related Geospatial Datasets; 4.1 Introduction
  table of contents: 4.2 River basin, watershed, and subwatershed delineations4.3 Streamflow and river stage data; 4.4 Groundwater level data; 4.5 Climate datasets; 4.6 Vegetation indices; 4.7 Soil moisture mapping; 4.8 Water quality datasets; 4.9 Monitoring strategies and needs; 4.10 Sampling techniques and recent advancements in sensing technologies; 4.11 Concluding remarks; Conceptual questions; References; Chapter 5: Data Sources and Models; 5.1 Digital data warehouses and repositories; 5.2 Software for GIS and geocomputations; 5.3 Software and data models for water resources applications
  table of contents: 5.4 Concluding remarksConceptual questions; References; Part II: Foundations of GIS; Chapter 6: Data Models for GIS; 6.1 Introduction; 6.2 Data types, data entry, and data models; 6.3 Categorization of spatial datasets; 6.4 Database structure, storage, and organization; 6.5 Data storage and encoding; 6.6 Data conversion; 6.7 Concluding remarks; Conceptual questions; Hands-on exercises; References; Chapter 7: Global Positioning Systems (GPS) and Remote Sensing; 7.1 Introduction; 7.2 The global positioning system (GPS); 7.3 Use of GPS in water resources engineering studies
  note: Barnali Dixon, Venkatesh Uddameri.
  note: Includes bibliographical references and index.
  subject:
    topic: Watershed management
    topic: Data processing
  subject:
    topic: Water resources development
    topic: Data processing
  subject:
    topic: Geographic information systems
    topic: Industrial applications
  classification: TC413 .D58 2015
  classification: 628.10285
  related item:
    title info:
      title: GIS and geocomputation for water resource science and engineering
    name:
      name part: Dixon, Barnali.
    origin info:
      publisher: Chichester, West Sussex, UK : John Wiley & Sons, Ltd, 2015
    identifier: (DLC) 2014046085
  related item:
    title info:
      title: GIS and geocomputation for water resource science and engineering
    name:
      name part: Dixon, Barnali.
    origin info:
      publisher: Chichester, West Sussex, UK : John Wiley & Sons, Ltd, 2015
    identifier: (DLC) 2014046085
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  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 141203
    record change date: 20260215000458.0
    record identifier: in00005689967
    language of cataloging:
      language term: eng