Geospatial information handbook for water resources and watershed management : Volume II: Methods and modelling / edited by John G. Lyon, Lynn Lyon

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Boca Raton, FL : CRC Press, [2023]Beschreibung: 1 Online-Ressource (x, 266 pages)ISBN:

9781003175025
1003175023
9781000798975
1000798976
1000798909
9781000798906

Weitere Titel:

Methods and modelling

Schlagwörter:

Andere physische Formen: 9781032006512 | 9781032006499 LOC-Klassifikation:

TC405

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: 1. Introduction to Volume II and Neuse River Watershed and Water Quality Case StudyJohn G. Lyon and Lynn Lyon2. Neuse Case Study and Water Quality⁰́₃Related MethodsJohn G. Lyon, Ross S. Lunetta, and Lynn Lyon3. Virtual Field Reference Database for Assessment of Land Cover Data and VariabilityRoss S. Lunetta, John Liames, Joseph Knight, Russell G. Congalton, and Thomas H. Mace4. Vegetation Dynamics and Identification of Land Cover Change in a Complex Land Use CommunityRoss S. Lunetta, Jayantha Ediriwickrema, David M. Johnson, John G. Lyon, and Alexa McKerrow5. Land-Cover Change Detection Using Multi-Temporal MODIS NDVI DataRoss S. Lunetta, Joseph F. Knight, Jayantha Ediriwickrema, John G. Lyon, and L. Dorsey Worthy6. Spectral and GIS Rule-Based Land-Cover Classification in the Neuse RiverRoss S. Lunetta, Jayantha Ediriwickrema, John Liames, David M. Johnson, John G. Lyon, Alexa McKerrow, and Andrew Pilant7. Modeling the Distribution of Diffuse Nitrogen Sources and Sinks in the Neuse River BasinRoss S. Lunetta, Richard G. Greene, and John G. Lyon8. Monitoring of Water Colorants Using AVIRIS Hyperspectral SensingRoss S. Lunetta, John G. Lyon, Joseph Knight, Hans Paerl, John Streicher, Benjamin Peierls, Tom Gall, Thomas H. Mace, and Christopher Buzzelli9. DEM Resolution and Roughness Effect in Relation to Model PerformanceNancy Joy Lim and S. Anders Brandt10. Application of Densely Stacked Satellite Image Classification and Multinomial Logistic Regression Analysis in Predicting Urban SprawlAbhinav Wadhwa, Pavan Kumar Kummamuru, and B. Srimuruganandam11. A Feasibility Study of Seabed Cover Classification StandardsDewayany Sutrisno, Rizka Windiastuti, Nadya Oktaviani, Aninda W. Rudiastuti, and Ati RahadiatiZusammenfassung: Volume II of Geospatial Information Handbook for Water Resources and Watershed Management discusses Geospatial Technology (GT) approaches using integrated modeling as applied to advanced water resource assessments. Features include multiple date land cover analyses as change in land cover influences water quality, model sensitivity analyses of DEM resolution and influences on modeling water characteristics like Manning⁰́₉s n, development of seabed cover classification and sensitivity, and forecasting urban growth over time with climate vulnerability impacts on water. A detailed case study presents a range of water quality issues, all effectively demonstrating GT inputs to water quality studies from headwaters to receiving estuarine waters. Also analyzed are the comparison of evapotranspiration simulation performance by APEX model in dryland and irrigated cropping systems and perspectives on the future of transient storage modeling. Captures advanced technologies and applications for implementation with models to address a broad spectrum of water issues Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models Features a Neuse River Basin case study integrating hydrologic methods and modeling along with remote sensing and GIS technologies for nonpoint source water quality evaluations Global coverage with applications demonstrated by more than 170 experts from around the world 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 worldwidePPN: PPN: 1882639200Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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