Remote Sensing of Hydrological Extremes / / edited by Venkat Lakshmi |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIV, 251 p. 74 illus., 71 illus. in color.) |
Disciplina | 551.48 |
Collana | Springer Remote Sensing/Photogrammetry |
Soggetto topico |
Remote sensing
Environmental monitoring Natural disasters Hydrology Climate change Remote Sensing/Photogrammetry Monitoring/Environmental Analysis Natural Hazards Hydrology/Water Resources Climate Change Management and Policy |
ISBN | 9783319437446 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1 Floods -- Chapter 1 Satellite-based estimation Of water discharge and runoff In the Magdalena River, Northern Andes Of Colombia -- Chapter 2 Remote sensing of drivers of spring snowmelt flooding in the North Central US -- Chapter 3 The NASA Global Flood Mapping System -- Chapter 4 Congo flood plain hydraulics with PALSAR InSAR and Envisat Altimetry data -- Chapter 5 Optical and physical methods for mapping flooding with satellite imagery -- Chapter 6 Near real time flood monitoring and impact assessment systems -- Part 2 Droughts -- Chapter 7 Remote sensing of drought: Vegetation, soil moisture and data assimilation -- Chapter 8 Drought monitoring and assessment using remote sensing -- Chapter 9 A framework for assessing soil moisture deficit, and crop water stress at multiple space and time scales under climate change scenarios using model platform, satellite remote sensing and decision support system -- Chapter 10 Monitoring drought in Brazil using remote sensing -- Chapter 11 Multi-sensor remote sensing of drought from space. . |
Record Nr. | UNINA-9910155333703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Remote sensing of the terrestrial water cycle / / Venkat Lakshmi [and twelve others], editors |
Pubbl/distr/stampa | Washington, District of Columbia : , : American Geophysical Union, , 2015 |
Descrizione fisica | 1 online resource (577 p.) |
Disciplina | 363.61 |
Collana | Geophysical Monograph |
Soggetto topico |
Water-supply - Management - History
Water-supply - Management |
ISBN |
1-118-87226-6
1-118-87208-8 1-118-87200-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Remote Sensing of the Terrestrial Water Cycle, Geophysical Monograph 206; Copyright; Contents; Contributors; Preface; Section I: Precipitation; Chapter 1 Rain/No-Rain Classification Using Passive Microwave Radiometers; 1.1. Introduction; 1.2. Principles of Passive Microwave Satellite Measurements; 1.3. Atmospheric Attenuation of Microwaves; 1.4. Rain/No-Rain Classification Methods; 1.5. RNC Performance Analysis; 1.6. Open Questions; 1.7. Conclusions; Acknowledgments; References; Chapter 2 Improvement of TMI Rain Retrieval Over the Indian Subcontinent; 2.1. Introduction
2.2. GSMaP MWR Algorithm 2.3. Improvement of Orographic/Nonorographic Classification Scheme; 2.4. Improvement of Precipitation-Related Variable Models in RTM Calculations; 2.5. Summary and Future Work; 2.6. Acknowledgments; References; Chapter 3 Integrating Information from Satellite Observations and Numerical Models for Improved Global Precipitation Analyses: Exploring for an Optimal Strategy; 3.1. Introduction; 3.2. Current Generation CMORPH and its Limitations; 3.3. Kalman-Filter-Based CMORPH Integration Algorithm; 3.4. Potential Information Sources for Global Precipitation Definition 3.5. Potential Information Sources for the Definition of Cloud Motion Vectors 3.6. Strategy for Constructing Pole-to-Pole CMORPH; 3.7. Conclusions and Discussions; Acknowledgments; References; Chapter 4 Research Framework to Bridge from the Global Precipitation Measurement Mission Core Satellite to the Constellation Sensors Using Ground-Radar-Based National Mosaic QPE; 4.1. Introduction; 4.2. Reference for Evaluation of Level 2 Satellite-Based Precipitation Retrievals; 4.3. Comparison Between Ground-Based and Space-Based Radars 4.4. Comparison Between Ground-Based Radars and Space-Based Passive Sensors 4.5. Conclusions and Perspectives; References; Section II: Evapotranspiration; Chapter 5 Estimating Regional Evapotranspiration Using a Three-Temperature Model and MODIS Products; 5.1. Introduction; 5.2. Materials and Methods; 5.3. Results and Discussions; 5.4. Conclusion; Acknowledgments; References; Chapter 6 Water Use and Stream-Aquifer-Phreatophyte Interaction Along a Tamarisk-Dominated Segment of the Lower Colorado River; 6.1. Introduction; 6.2. Methods and Materials; 6.3. Results and Discussion; 6.4. Conclusions Acknowledgments References; Section III: Surface Water; Chapter 7 Controls of Terrestrial Water Storage Changes Over the Central Congo Basin Determined by Integrating Palsar ScanSar, Envisat Altimetry, and Grace Data; 7.1. Introduction; 7.2. Data Sets; 7.3. Results; 7.4. Conclusion and Discussions; Acknowledgments; References; Chapter 8 Spatial Patterns of River Width in the Yukon River Basin; 8.1. Introduction; 8.2. Study Area; 8.3. Data and Methods; 8.4. Results; 8.5. Discussion and Conclusions; Acknowledgments; References; Chapter 9 Near-Nadir Ka-band Field Observations of Freshwater Bodies 9.1. Introduction |
Record Nr. | UNINA-9910140510203321 |
Washington, District of Columbia : , : American Geophysical Union, , 2015 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Remote sensing of the terrestrial water cycle / / Venkat Lakshmi [and twelve others], editors |
Pubbl/distr/stampa | Washington, District of Columbia : , : American Geophysical Union, , 2015 |
Descrizione fisica | 1 online resource (577 p.) |
Disciplina | 363.61 |
Collana | Geophysical Monograph |
Soggetto topico |
Water-supply - Management - History
Water-supply - Management |
ISBN |
1-118-87226-6
1-118-87208-8 1-118-87200-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Remote Sensing of the Terrestrial Water Cycle, Geophysical Monograph 206; Copyright; Contents; Contributors; Preface; Section I: Precipitation; Chapter 1 Rain/No-Rain Classification Using Passive Microwave Radiometers; 1.1. Introduction; 1.2. Principles of Passive Microwave Satellite Measurements; 1.3. Atmospheric Attenuation of Microwaves; 1.4. Rain/No-Rain Classification Methods; 1.5. RNC Performance Analysis; 1.6. Open Questions; 1.7. Conclusions; Acknowledgments; References; Chapter 2 Improvement of TMI Rain Retrieval Over the Indian Subcontinent; 2.1. Introduction
2.2. GSMaP MWR Algorithm 2.3. Improvement of Orographic/Nonorographic Classification Scheme; 2.4. Improvement of Precipitation-Related Variable Models in RTM Calculations; 2.5. Summary and Future Work; 2.6. Acknowledgments; References; Chapter 3 Integrating Information from Satellite Observations and Numerical Models for Improved Global Precipitation Analyses: Exploring for an Optimal Strategy; 3.1. Introduction; 3.2. Current Generation CMORPH and its Limitations; 3.3. Kalman-Filter-Based CMORPH Integration Algorithm; 3.4. Potential Information Sources for Global Precipitation Definition 3.5. Potential Information Sources for the Definition of Cloud Motion Vectors 3.6. Strategy for Constructing Pole-to-Pole CMORPH; 3.7. Conclusions and Discussions; Acknowledgments; References; Chapter 4 Research Framework to Bridge from the Global Precipitation Measurement Mission Core Satellite to the Constellation Sensors Using Ground-Radar-Based National Mosaic QPE; 4.1. Introduction; 4.2. Reference for Evaluation of Level 2 Satellite-Based Precipitation Retrievals; 4.3. Comparison Between Ground-Based and Space-Based Radars 4.4. Comparison Between Ground-Based Radars and Space-Based Passive Sensors 4.5. Conclusions and Perspectives; References; Section II: Evapotranspiration; Chapter 5 Estimating Regional Evapotranspiration Using a Three-Temperature Model and MODIS Products; 5.1. Introduction; 5.2. Materials and Methods; 5.3. Results and Discussions; 5.4. Conclusion; Acknowledgments; References; Chapter 6 Water Use and Stream-Aquifer-Phreatophyte Interaction Along a Tamarisk-Dominated Segment of the Lower Colorado River; 6.1. Introduction; 6.2. Methods and Materials; 6.3. Results and Discussion; 6.4. Conclusions Acknowledgments References; Section III: Surface Water; Chapter 7 Controls of Terrestrial Water Storage Changes Over the Central Congo Basin Determined by Integrating Palsar ScanSar, Envisat Altimetry, and Grace Data; 7.1. Introduction; 7.2. Data Sets; 7.3. Results; 7.4. Conclusion and Discussions; Acknowledgments; References; Chapter 8 Spatial Patterns of River Width in the Yukon River Basin; 8.1. Introduction; 8.2. Study Area; 8.3. Data and Methods; 8.4. Results; 8.5. Discussion and Conclusions; Acknowledgments; References; Chapter 9 Near-Nadir Ka-band Field Observations of Freshwater Bodies 9.1. Introduction |
Record Nr. | UNINA-9910810018603321 |
Washington, District of Columbia : , : American Geophysical Union, , 2015 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Remote sensing of the terrestrial water cycle / / Venkat Lakshmi [and twelve others], editors |
Pubbl/distr/stampa | Washington, District of Columbia : , : American Geophysical Union, , 2015 |
Descrizione fisica | 1 online resource (577 p.) |
Disciplina | 363.61 |
Collana | Geophysical Monograph |
Soggetto topico |
Water-supply - Management - History
Water-supply - Management |
ISBN |
1-118-87226-6
1-118-87208-8 1-118-87200-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Remote Sensing of the Terrestrial Water Cycle, Geophysical Monograph 206; Copyright; Contents; Contributors; Preface; Section I: Precipitation; Chapter 1 Rain/No-Rain Classification Using Passive Microwave Radiometers; 1.1. Introduction; 1.2. Principles of Passive Microwave Satellite Measurements; 1.3. Atmospheric Attenuation of Microwaves; 1.4. Rain/No-Rain Classification Methods; 1.5. RNC Performance Analysis; 1.6. Open Questions; 1.7. Conclusions; Acknowledgments; References; Chapter 2 Improvement of TMI Rain Retrieval Over the Indian Subcontinent; 2.1. Introduction
2.2. GSMaP MWR Algorithm 2.3. Improvement of Orographic/Nonorographic Classification Scheme; 2.4. Improvement of Precipitation-Related Variable Models in RTM Calculations; 2.5. Summary and Future Work; 2.6. Acknowledgments; References; Chapter 3 Integrating Information from Satellite Observations and Numerical Models for Improved Global Precipitation Analyses: Exploring for an Optimal Strategy; 3.1. Introduction; 3.2. Current Generation CMORPH and its Limitations; 3.3. Kalman-Filter-Based CMORPH Integration Algorithm; 3.4. Potential Information Sources for Global Precipitation Definition 3.5. Potential Information Sources for the Definition of Cloud Motion Vectors 3.6. Strategy for Constructing Pole-to-Pole CMORPH; 3.7. Conclusions and Discussions; Acknowledgments; References; Chapter 4 Research Framework to Bridge from the Global Precipitation Measurement Mission Core Satellite to the Constellation Sensors Using Ground-Radar-Based National Mosaic QPE; 4.1. Introduction; 4.2. Reference for Evaluation of Level 2 Satellite-Based Precipitation Retrievals; 4.3. Comparison Between Ground-Based and Space-Based Radars 4.4. Comparison Between Ground-Based Radars and Space-Based Passive Sensors 4.5. Conclusions and Perspectives; References; Section II: Evapotranspiration; Chapter 5 Estimating Regional Evapotranspiration Using a Three-Temperature Model and MODIS Products; 5.1. Introduction; 5.2. Materials and Methods; 5.3. Results and Discussions; 5.4. Conclusion; Acknowledgments; References; Chapter 6 Water Use and Stream-Aquifer-Phreatophyte Interaction Along a Tamarisk-Dominated Segment of the Lower Colorado River; 6.1. Introduction; 6.2. Methods and Materials; 6.3. Results and Discussion; 6.4. Conclusions Acknowledgments References; Section III: Surface Water; Chapter 7 Controls of Terrestrial Water Storage Changes Over the Central Congo Basin Determined by Integrating Palsar ScanSar, Envisat Altimetry, and Grace Data; 7.1. Introduction; 7.2. Data Sets; 7.3. Results; 7.4. Conclusion and Discussions; Acknowledgments; References; Chapter 8 Spatial Patterns of River Width in the Yukon River Basin; 8.1. Introduction; 8.2. Study Area; 8.3. Data and Methods; 8.4. Results; 8.5. Discussion and Conclusions; Acknowledgments; References; Chapter 9 Near-Nadir Ka-band Field Observations of Freshwater Bodies 9.1. Introduction |
Record Nr. | UNISA-996203605503316 |
Washington, District of Columbia : , : American Geophysical Union, , 2015 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|