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Full Description
Volume III of Geospatial Information Handbook for Water Resources and Watershed Management discusses water and watershed issues such as water quality, evapotranspiration, water resource management, and ecological services.
Featured is a two-stage ditch and river geomorphology case study section with related water geospatial applications, including historical image analyses of floodplains and channels and resulting change in river geomorphology through erosion and transport and influence on dependent vegetation communities.
Captures advanced Geospatial Technologies (GT) and their applications to address a wide spectrum of water issues
Provides real-world two-stage ditch and river geomorphology case studies using river, stream and channel measures and change models, and bankfull discharge modeling
Global in coverage with applications demonstrated by more than 170 experts in water sciences and two-stage ditch and river geomorphology
This handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scale and is an in-depth resource for professionals and the water research community worldwide.
Contents
1. Introduction to Volume III, 2. Introduction to Volume III and Two-Stage Ditch and River Geomorphology Case Study, 3. Water Resources and Agricultural Ditch Management, 4. Active Floodplain Requirements for Sustaining Two-Stage Channel Geometry, 5. Enhanced Channel Design v2.6: A Design Tool for Two-Stage Ditches and Self-Forming Channels, 6. Evaluating Geomorphic Change in Constructed Two-Stage Ditches, 7. Air-Photo-Based Change in Channel Width Sedimentation in the Minnesota River Basin, 8. Hydrologic Alteration Drives Channel Widening and Alters Sandbar Vegetation Dynamics on a Large, Alluvial River in Minnesota, USA, 9. A Comparison of Methods for Prioritizing Lakes in Minnesota, 10. Water Yield Ecosystem Services Assessment in Periyar Tiger Reserve, 11. Water Quality Parameters as Related to Small Watershed Land Cover, 12. Soil Moisture Estimation Using a SAR Water Cloud Model for an Improved Anchor Pixel Selection Process in SEBAL