Geospatial Information Handbook for Water Resources and Watershed Management, Volume I (eBook, ePUB)
Fundamentals and Analyses
Redaktion: Lyon, John G; Lyon, Lynn
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Geospatial Information Handbook for Water Resources and Watershed Management, Volume I (eBook, ePUB)
Fundamentals and Analyses
Redaktion: Lyon, John G; Lyon, Lynn
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Volume I discusses fundamental characteristics, measurements and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. This is the most comprehensive reference for the water research community worldwide.
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Volume I discusses fundamental characteristics, measurements and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. This is the most comprehensive reference for the water research community worldwide.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 236
- Erscheinungstermin: 21. Dezember 2022
- Englisch
- ISBN-13: 9781000798982
- Artikelnr.: 66023108
- Verlag: Taylor & Francis
- Seitenzahl: 236
- Erscheinungstermin: 21. Dezember 2022
- Englisch
- ISBN-13: 9781000798982
- Artikelnr.: 66023108
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Over the years John and Lynn Lyon have worked on water issues with great interest and heart. A hallmark of their scholarship has been helping others with scientific authorship. Books are a great way to capture thoughts and methods making them accessible to others worldwide. In that vein here they have advanced a whole cadre of thought leaders with a broad focus on water. Whether local, regional, continental, or global scale water issues unite passions. Part of the challenge is the breadth and complexity of water. If many people take a piece the whole society can fashion sustainable outcomes. The Handbook is focused on presenting a number of ways to facilitate these thoughtful contributions. John earned his Doctorate at the University of Michigan and Lynn earned her Master's Degree at Ohio State University.
1. Introduction to Volume I of the Water Geospatial Handbook
2. Introduction to Volume I
3. Large-Scale Mapping and Monitoring Inland Waters by Google Earth Engine and Remote Sensing Techniques
4. Identification of Potential Runoff Storage Zones within Watersheds
5. Flood Risk Zone Mapping Using a Rational Model in Highly Weathered Nitisols of Southeastern Nigeria
6. Morphometric Indicators-Based Flood Vulnerability Assessment of Upper Satluj Basin
Western Himalayas
India
7. Remote Sensing Measures of Sandbars along the Shoreline of Sonadia Island
Bangladesh
1972-2006
8. Integrated Soil Fertility Management for Climate Change Mitigation and Agricultural Sustainability
9. Monitoring Common Agricultural Cropping Across the US and Canadian Laurentian Great Lakes Basin Watershed Using MODIS-NDVI Data
10. SWAT Modeling of Sediment Yields for Selected Watersheds in the Laurentian Great Lakes Basin
11. Temporal Downscaling of Daily to Minute Interval Precipitation by Emulator Modeling-Based Genetic Optimization
2. Introduction to Volume I
3. Large-Scale Mapping and Monitoring Inland Waters by Google Earth Engine and Remote Sensing Techniques
4. Identification of Potential Runoff Storage Zones within Watersheds
5. Flood Risk Zone Mapping Using a Rational Model in Highly Weathered Nitisols of Southeastern Nigeria
6. Morphometric Indicators-Based Flood Vulnerability Assessment of Upper Satluj Basin
Western Himalayas
India
7. Remote Sensing Measures of Sandbars along the Shoreline of Sonadia Island
Bangladesh
1972-2006
8. Integrated Soil Fertility Management for Climate Change Mitigation and Agricultural Sustainability
9. Monitoring Common Agricultural Cropping Across the US and Canadian Laurentian Great Lakes Basin Watershed Using MODIS-NDVI Data
10. SWAT Modeling of Sediment Yields for Selected Watersheds in the Laurentian Great Lakes Basin
11. Temporal Downscaling of Daily to Minute Interval Precipitation by Emulator Modeling-Based Genetic Optimization
1. Introduction to Volume I of the Water Geospatial Handbook
2. Introduction to Volume I
3. Large-Scale Mapping and Monitoring Inland Waters by Google Earth Engine and Remote Sensing Techniques
4. Identification of Potential Runoff Storage Zones within Watersheds
5. Flood Risk Zone Mapping Using a Rational Model in Highly Weathered Nitisols of Southeastern Nigeria
6. Morphometric Indicators-Based Flood Vulnerability Assessment of Upper Satluj Basin
Western Himalayas
India
7. Remote Sensing Measures of Sandbars along the Shoreline of Sonadia Island
Bangladesh
1972-2006
8. Integrated Soil Fertility Management for Climate Change Mitigation and Agricultural Sustainability
9. Monitoring Common Agricultural Cropping Across the US and Canadian Laurentian Great Lakes Basin Watershed Using MODIS-NDVI Data
10. SWAT Modeling of Sediment Yields for Selected Watersheds in the Laurentian Great Lakes Basin
11. Temporal Downscaling of Daily to Minute Interval Precipitation by Emulator Modeling-Based Genetic Optimization
2. Introduction to Volume I
3. Large-Scale Mapping and Monitoring Inland Waters by Google Earth Engine and Remote Sensing Techniques
4. Identification of Potential Runoff Storage Zones within Watersheds
5. Flood Risk Zone Mapping Using a Rational Model in Highly Weathered Nitisols of Southeastern Nigeria
6. Morphometric Indicators-Based Flood Vulnerability Assessment of Upper Satluj Basin
Western Himalayas
India
7. Remote Sensing Measures of Sandbars along the Shoreline of Sonadia Island
Bangladesh
1972-2006
8. Integrated Soil Fertility Management for Climate Change Mitigation and Agricultural Sustainability
9. Monitoring Common Agricultural Cropping Across the US and Canadian Laurentian Great Lakes Basin Watershed Using MODIS-NDVI Data
10. SWAT Modeling of Sediment Yields for Selected Watersheds in the Laurentian Great Lakes Basin
11. Temporal Downscaling of Daily to Minute Interval Precipitation by Emulator Modeling-Based Genetic Optimization