Geospatial Information Handbook for Water Resources and Watershed Management, Volume 1: Fundamentals and Analyses

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Volume I of Geospatial Information Handbook for Water Resources and Watershed Management discusses fundamental characteristics, measurements, and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. It presents contemporary knowledge on Geospatial Technology (GT)–supported functional analyses of water runoff, storage and balance, flooding and floodplains, water quality, soils and moisture, climate vulnerabilities, and ecosystem services.

    • Captures advanced Geospatial Technologies (GTs) addressing a wide range of water issues

    • Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models

    • Details applications of ArcInfo/ArcGIS, Google Earth Engine, and other systems using advanced remote sensors, including hyperspectral ER2 AVIRIS, Sentinel-1 and -2, MODIS, Landsat 7 ETM+, Landsat 8 OLI and TIPS, SAR radar, and thermal imaging

    • Global in coverage with applications contributed by more than 170 authors with lifelong expertise in water sciences and engineering

    This handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scales and is an in-depth resource for professionals and the water research community worldwide.

    Author(s): John G. Lyon, Lynn Lyon
    Publisher: CRC Press
    Year: 2022

    Language: English
    Pages: 235
    City: Boca Raton

    Cover
    Half Title
    Title Page
    Copyright Page
    Table of Contents
    Editors
    Contributors
    1. Introduction to Volume I of the Water Geospatial Handbook
    History
    Traditional Approaches Augmented
    Building Spatial Datasets
    Spatial Positioning
    Spectral Resolution
    Scaling and Modeling
    Deterministic Modeling
    Verification
    Applications
    2. Introduction to Volume I
    Volume I, Chapter 3, Lake Measurements and Google Earth Engine
    Volume I, Chapter 4, Flood Mapping and Ground Water Recharge
    Volume I, Chapter 5, Flood Risk Modeling
    Volume I, Chapter 6, Flood Vulnerability Assessment
    Climate and Geospatial
    Volume I, Chapter 7, Climate and Sandbars
    Volume I, Chapter 8, Climate, Agriculture, and Nitrogen Cycle Air and Water Quality
    Volume I, Chapter 9, Climate, Agriculture, and Large Lakes
    Volume I, Chapter 10, Climate, Great Lakes, and SWAT Modeling
    Volume I, Chapter 11, Climate and Precipitation Time Periods
    3. Large-Scale Mapping and Monitoring Inland Waters by Google Earth Engine and Remote Sensing Techniques
    Introduction
    Materials and Methods
    Materials
    Methodology
    Results
    Discussion and Conclusions
    Recommendations
    References
    4. Identification of Potential Runoff Storage Zones within Watersheds
    Introduction
    Role of Remote Sensing and Geographic Information System
    Identification of Potential Runoff Storage Zones
    Rainfall Analysis
    Processing and Creation of Spatial Data Layers
    Topographic Wetness Index (TWI)
    Land Use Land Cover
    Soil Texture
    Curve Number (CN)
    Stream Order
    Height Above Nearest Drainage (HAND)
    Determining Criteria Weights Using AHP
    Weighted Overlay Process (WOP) within GIS
    Results and Discussion
    Rainfall Analysis
    Topography Wetness Index (TWI)
    Generation of Slope Maps Using Topography Position Index (TPI)
    Land Use/ Land Cover
    Response Curves of LULC Classes in PCA Bands
    Soil Texture
    Curve Number (CN)
    Stream Order
    Height Above Nearest Drainage (HAND)
    Determining Criteria Weights Using AHP
    Weighted Overlay Process (WOP) within the GIS
    Conclusions
    Acknowledgement
    References
    5. Flood Risk Zone Mapping Using a Rational Model in Highly Weathered Nitisols of Southeastern Nigeria
    Introduction
    Material and Method
    Description of the Study Area
    Data Sources and Methods
    Data Sources
    Run-Off Estimation Models
    Determination of Peak Run-Off Using the Rational Model
    Sub-Catchments Delineation
    Peak Run-Off Map Development
    Flood Covariates and Acquisition Methods
    LULC Analysis
    Soil Type and Texture
    Integration of GIS Model
    Results
    LULC Changes from 1986 to 2016
    Soil Textural Class and Elevation of the Sub-Catchments
    Peak Run-Off Analysis
    Flood Hazard Intensity Map
    Discussion
    Conclusion
    Acknowledgment
    References
    6. Morphometric Indicators-Based Flood Vulnerability Assessment of Upper Satluj Basin, Western Himalayas, India
    Introduction
    Study Area
    Methodology
    Hydrological Parameters Analysis
    Results and Discussion
    Relative Relief
    Surface Slope
    Stream Length Ratio (Rl)
    Mean Stream Length (Lsm)
    Bifurcation Ratio (Rb)
    Stream Frequency (Fs)
    Drainage Density (Dd)
    Infiltration Number (If)
    Drainage Texture (T)
    Length of Overland Flow (Lg)
    RHO Coefficient
    Compactness Constant (Cc)
    Channel Constant Maintenance (C)
    Elongation Ratio (Re)
    Circularity Ratio (Rc)
    Sinuosity (Si)
    Ruggedness Number
    Form Factor
    The Channel Slope Gradient
    The Hypsometric Curve (HC) and Hypsometric Integral (HI)
    River Cross-Section Measurement
    River Discharge
    Temperature and Rainfall
    Land Use and Land Cover
    Regional Flood Vulnerability
    Final Outcomes and Suggestive Measures
    Funding Statement
    Acknowledgments
    References
    7. Remote Sensing Measures of Sandbars along the Shoreline of Sonadia Island, Bangladesh, 1972–2006
    Introduction
    What Is a Sandbar?
    Changes in Sandbar Morphology over Time
    Sandbar Change Studies Using Remote Sensing Analysis
    Materials and Methods
    Satellite Images with Source
    Image Analysis
    GIS Analysis of Morphological Change
    Results
    Discussion
    Conclusion
    Acknowledgments
    References
    8. Integrated Soil Fertility Management for Climate Change Mitigation and Agricultural Sustainability
    Introduction
    Background and Justification
    Objectives
    General Objective
    Specific Objectives
    Literature Review
    Concepts of ISFM
    Principles of ISFM
    Effect of ISFM for Soil Fertility Improvement
    Residual Advantage of Integrated Soil Fertility Management
    Effect Integrated Soil Fertility Management on Climate Mitigation
    Improving Nitrogen-Use Efficiency
    Effect of Integrated Soil Fertility Management on Agricultural Sustainability
    Effect of Integrated Soil Fertility Management on Crop Productivity
    Effect of Integrated Soil Fertility Management on Environmental Sustainability
    Conclusions
    Personal Arguments
    Acknowledgment
    References
    9. Monitoring Common Agricultural Cropping Across the US and Canadian Laurentian Great Lakes Basin Watershed Using MODIS-NDVI Data
    Introduction
    Study Area
    Methods
    General Cropland Mapping
    Crop-Specific Mapping
    Crop Statistics and Crop Rotation Analysis
    Results
    General Cropland
    Crop-Specific Mapping
    Crop Statistics
    Crop Rotation Analysis
    Discussion
    Conclusions
    Acknowledgments
    References
    10. SWAT Modeling of Sediment Yields for Selected Watersheds in the Laurentian Great Lakes Basin
    Introduction
    Study Objectives
    Study Area
    Watershed Assessment and the SWAT Model
    Methods
    Watershed Selection
    SWAT Input Data
    SWAT Calibration and Validation
    Future Land Cover Scenarios
    Results and Discussion
    SWAT Stream Flows
    Sediment Yields
    Conclusions
    Acknowledgments
    References
    11. Temporal Downscaling of Daily to Minute Interval Precipitation by Emulator Modeling-Based Genetic Optimization
    Introduction
    Materials and Methods
    Framework
    Emulator Models
    Artificial Neural Networks (ANN)
    Classification and Regression Tree (CART)
    K-Nearest Neighbor (K-NN)
    Random Forest (RF)
    Support Vector Machines (SVM)
    Genetic Algorithm Optimization
    Validation Measures and Cross-Validation
    Study Area and Its Characterization
    Pre-processing of GCMs
    GCM Ranking
    Results and Discussion
    Selection of Best-Suited Emulator Model
    Selection of Best-Suited GCMs
    Evaluation of RCP Scenarios
    Summary
    References
    Index