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GIS and geocomputation for water resource science and engineering / / Barnali Dixon and Venkatesh Uddameri
| GIS and geocomputation for water resource science and engineering / / Barnali Dixon and Venkatesh Uddameri |
| Autore | Dixon Barnali |
| Pubbl/distr/stampa | West Sussex, England : , : American Geophysical Union : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (1095 p.) |
| Disciplina | 628.10285 |
| Collana | Wiley Works |
| Soggetto topico |
Watershed management - Data processing
Water resources development - Data processing Geographic information systems - Industrial applications |
| ISBN |
1-118-82621-3
1-118-82618-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
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 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 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 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 7.4 Workflow for GPS data collection |
| Record Nr. | UNINA-9910271027103321 |
Dixon Barnali
|
||
| West Sussex, England : , : American Geophysical Union : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
GIS and geocomputation for water resource science and engineering / / Barnali Dixon and Venkatesh Uddameri
| GIS and geocomputation for water resource science and engineering / / Barnali Dixon and Venkatesh Uddameri |
| Autore | Dixon Barnali |
| Pubbl/distr/stampa | West Sussex, England : , : American Geophysical Union : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (1095 p.) |
| Disciplina | 628.10285 |
| Collana | Wiley Works |
| Soggetto topico |
Watershed management - Data processing
Water resources development - Data processing Geographic information systems - Industrial applications |
| ISBN |
1-118-82621-3
1-118-82618-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
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 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 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 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 7.4 Workflow for GPS data collection |
| Record Nr. | UNINA-9910808117803321 |
|
Dixon Barnali
|
||
| West Sussex, England : , : American Geophysical Union : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Interdisciplinary Environmental Solutions : Using Geospatial Technologies for Bridging Disciplines, Scale and Data / / by Barnali Dixon
| Interdisciplinary Environmental Solutions : Using Geospatial Technologies for Bridging Disciplines, Scale and Data / / by Barnali Dixon |
| Autore | Dixon Barnali |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2025 |
| Descrizione fisica | 1 online resource (784 pages) |
| Disciplina | 338.927 |
| Collana | Social Sciences Series |
| Soggetto topico |
Environmental geography
Geographic information systems Environmental sciences - Social aspects Human ecology - Study and teaching Ecology Integrated Geography Geographical Information System Environmental Social Sciences Environmental Studies Environmental Sciences |
| ISBN | 9783031167638 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction Interdisciplinary Environmental Solutions -- Chapter 2:Introduction Complexity of environmental systems -- Chapter 3: Illustration of System Complexity and Need for integrative analysis for effective solutions -- Chapter 4: Place, Space, Scale, Geospatial Analysis and GIS -- Chapter 5: Uncertainty Issues with Complex System -- Chapter 6: Role of Place (Space) in Decision Support Systems -- Chapter 7: Place-based approaches to Integrated Environment Solutions -- Chapter 8: Role of place and space in identification of environmental problems and finding solutions -- Chapter 9: Geographic Problem Solving: Summary of key environmental problems that need integrative approaches and the notion of uncertainty associated with ‘ways of knowing’ -- Chapter 10: GIS, GeoAI, and Geospatial Framework For Integrated Place-Based Approach -- Chapter 11:Conceptual Framework for Integration of Terrestrial Systems and Aquatic Sinks using Systems Thinking and Place-based Approach -- Chapter 12: Spato-temporal variability of water quality and watershed relationship -- Chapter 13: The Impact of Wildfire on Soil Erosion and Water Quality using a GIS-integrated Framework -- Chapter 14: Geospatially Integrated Drainage Basin Scale Sediment Dynamics Under Projected Future Climate Conditions In South East Georgia, USA -- Chapter 15: Linking Watershed’s Properties to MPAs: Integration of Terrestrial Source, Landuse, and Watershed Hydrogeology in Coastal MPA Management -- Chapter 16: Modeling of Surface and Groundwater Contamination to Assess Human Health Risk: An Integrated Geospatial Approach -- Chapter 17: Application of a geospatially integrated species distribution model for seagrass in an urbanized estuary -- Chapter 18: Role of Place/Space in Conservation and Multi-scale Analysis -- Chapter 19: Analyzing Public Responses from Qualitative Data through Spatial Distribution Analysis Utilizing GIS for Effective Resilience Planning -- Chapter 20: Sensitivity Analysis and the use of Geospatial Framework: a Case Study of Soil Moisture and Soil Water Balance -- Chapter 21: Comparison of RUSLE and MUSLE models to predict and estimate soil erosion : a geospatially integrated sensitivity analysis -- Chapter 22: Comparison of Sensitivity analysis with ANN and SVM for Water Budget Calculations. |
| Record Nr. | UNINA-9911015637803321 |
|
Dixon Barnali
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||