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Satellite remote sensing of terrestrial hydrology / / Christopher Ndehedehe



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Autore: Ndehedehe Christopher Visualizza persona
Titolo: Satellite remote sensing of terrestrial hydrology / / Christopher Ndehedehe Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2022]
©2022
Descrizione fisica: 1 online resource (689 pages)
Disciplina: 551.48028
Soggetto topico: Hydrology
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Part I Global Terrestrial Hydrology -- 1 Remote Sensing Hydrology -- 1.1 Introduction -- 1.2 What is Remote Sensing Hydrology? -- 1.2.1 Satellite Hydrology -- 1.2.2 The Concept of Remote Sensing Hydrology -- 1.3 Remote Sensing Hydrology Systems -- 1.3.1 Satellite Radar Missions -- 1.3.2 The Surface Water Ocean Topography Mission -- References -- 2 Global Freshwater Systems -- 2.1 Global Water Cycle -- 2.1.1 Water Scarcity and Crises -- 2.1.2 Water and Agricultural Production -- 2.1.3 Water Infrastructure and Diplomacy -- 2.2 Challenges in Environmental Monitoring -- 2.2.1 Changes in Terrestrial Hydrology -- 2.2.2 Monitoring Architecture and Observational Networks -- 2.2.3 Empirical Methods for Assessment of Hydrological Variability -- References -- Part II Earth Observations -- 3 Optical Remote Sensing Systems -- 3.1 Introductory Remarks -- 3.2 Optical Satellite Remote Sensing Systems -- 3.2.1 Sensors -- 3.2.2 Platforms -- 3.2.3 Characteristics of Remotely Sensed Systems -- 3.2.4 The Concept of Remote Sensing -- 3.2.5 Remote Sensing Image Processing -- 3.2.6 Applications of Remote Sensing -- 3.3 Earth Resources Satellites: The Landsat Legacy -- 3.3.1 Access, Availability, and Retrieval of Landsat Data -- 3.3.2 Applications in Environmental Monitoring -- References -- 4 Satellite Geodetic Missions -- 4.1 Introductory Remarks -- 4.2 Gravity Recovery and Climate Experiment -- 4.2.1 Standard GRACE Observations -- 4.2.2 Correcting for Errors in GRACE Observations -- 4.2.3 GRACE Mass Concentration Solutions -- 4.2.4 Satellite Hydrological Applications -- 4.2.5 Crustal Deformations and Subsidence -- References -- Part III Cloud Computing for Big Data -- 5 Cloud-Based Geospatial Analysis -- 5.1 Introductory Remarks -- 5.2 Cloud Computing Platforms for Big Data.
5.2.1 Google Earth Engine Infrastructure -- 5.2.2 The Australian Geoscience Data Cube -- 5.2.3 OpenEO -- 5.2.4 pipsCloud -- 5.2.5 Sentinel Hub -- 5.2.6 System for Earth Observation Data Access, Processing, and Analysis for Land Monitoring -- 5.3 Applications in Remote Sensing of the Environment -- 5.3.1 Detection and Multi-temporal Analysis of Surface Water Change -- 5.3.2 Land Cover Mapping -- 5.3.3 Extreme Events: Wild Fires, Floods, and Droughts -- 5.3.4 Assessment of Floodplain Productivity -- 5.3.5 Multidisciplinary Applications in Environmental Geoscience -- References -- Part IV Remote Sensing Ecohydrology -- 6 Remote Sensing of Freshwater Habitats -- 6.1 Introductory Remarks -- 6.2 Changes in Floodplain Wetlands and Freshwater Habitats -- 6.2.1 Freshwater Habitats: Mapping and Monitoring -- 6.2.2 Remote Sensing Indicators for Detecting Surface Water -- 6.2.3 Satellite Remote Sensing of Wetlands -- 6.2.4 Optical Remote Sensing Systems in Eco-Hydrology -- 6.3 Assessing Floodplain Productivity in the Gilbert Catchment -- 6.3.1 Framework for Eco-Hydrological Assessment -- 6.3.2 Spectral Separability and Optical Complexities of Aquatic Habitats -- 6.3.3 Understanding Changes in Floodplain Productivity -- 6.3.4 Influence of Climate Variability on the Productivity of Tropical Floodplains -- 6.3.5 Freshwater Needs for the Sustainability of Floodplain Productivity -- 6.4 Concluding Remarks -- References -- 7 Remote Sensing of Surface Vegetation -- 7.1 Introductory Remark -- 7.2 Above Ground Biomass -- 7.2.1 Quantifying Above Ground Biomass -- 7.2.2 Remote Sensing Optical Capabilities -- 7.2.3 Radar Systems -- 7.3 Aquatic Weeds -- 7.3.1 Satellite-Derived Estimates of Aquatic Weeds -- 7.4 Assessing Crop Conditions and Vegetation Health -- 7.4.1 Remote Sensing Applications in Agriculture -- 7.4.2 State-of-the-Art and Emerging Technologies.
7.4.3 Impact Assessment of Wildfire Events on Vegetation -- 7.4.4 Water-Driven Changes in Crops and Vegetation -- 7.5 Understanding Changes in Surface Vegetation -- 7.5.1 Rainfall as Indicators of Changes in Surface Vegetation -- 7.5.2 Soil Moisture as an Ideal Indicator for Surface Vegetation Greenness -- 7.5.3 Satellite Gravity Approach to Assessing Water-Driven Variations in Vegetation -- 7.6 Surface Vegetation Over West and Central Africa -- 7.6.1 West Africa -- 7.6.2 Vegetation Distribution Along Climatic Gradients -- 7.6.3 Inter-annual Changes in Vegetation Greenness -- 7.6.4 Terrestrial Water Storage and Rainfall as Drivers of Changes in Surface Vegetation -- 7.7 Concluding Remark -- References -- 8 Remotely Piloted Aircraft Systems -- 8.1 Unmanned Aerial Vehicles-Close-Range Remote Sensing -- 8.1.1 Concepts and Operations -- 8.1.2 Sensor Characteristics and Capabilities of Low-Cost Unmanned Aerial Vehicles -- 8.2 Remotely Piloted Systems in Environmental Monitoring -- 8.2.1 Coastal Management -- 8.2.2 Vegetation and Forestry -- 8.2.3 Agriculture and Wetlands -- 8.2.4 Water Resources -- 8.2.5 Environmental Science -- 8.2.6 Digital Mapping -- 8.3 Conclusion -- References -- Part V Groundwater -- 9 Groundwater from Space -- 9.1 Introductory Remarks -- 9.2 Groundwater Hydrology -- 9.2.1 Quantifying Changes in Groundwater from Satellite -- 9.2.2 Water Budget Approach -- 9.2.3 Signal Separation -- 9.2.4 Data Assimilation -- 9.2.5 Global Hydrological Models -- 9.2.6 Big Data Fusion and Inversion Approach -- 9.3 Understanding Groundwater Systems and Drivers -- 9.3.1 Impacts of Climate Change and Groundwater Pumping -- 9.3.2 Hydrological Response to Climate and Water Extraction: Example from the Murray-Darling Basin -- 9.3.3 Surface-Groundwater Interaction -- References -- Part VI Environmental Hazards -- 10 Climate Change and Hydrological Systems.
10.1 Changes in the Global Climate System -- 10.1.1 The Earth System -- 10.1.2 Understanding Climate Change -- 10.2 Hydro-meteorological Changes and Links to Global Climate -- 10.2.1 Rainfall Variability -- 10.2.2 Temperature -- 10.2.3 Extreme Climatic Events -- 10.2.4 Changes in Freshwater -- 10.2.5 Groundwater -- References -- 11 Drought Events -- 11.1 Introductory Remarks -- 11.2 Drought Events: Concepts, Causes, and Consequences -- 11.2.1 Drought Classification Based on Concepts and Causes -- 11.3 Characterization and Diagnoses -- 11.3.1 Drought Metrics -- 11.3.2 Drought Statistics and Characteristics -- 11.3.3 Assessing Drought Characteristics and Variability -- 11.4 When the Rains Do Not Come -- 11.4.1 Impacts on Agricultural Systems -- 11.4.2 Response of Hydrological Systems to Droughts -- 11.4.3 Drought Impact on Food Security -- 11.4.4 Drought Impacts in Australia: An Example of the Millennium Drought -- 11.5 Understanding Droughts and the Impacts of Global Climate -- 11.5.1 The Complexities of Droughts -- 11.5.2 Optimizing Drought Indicators -- 11.5.3 Coupled Variability of Climate Modes and Droughts -- 11.6 Conclusion -- References -- Part VII Human Interventions on Hydrology -- 12 Anthropogenic Influence on Terrestrial Hydrology -- 12.1 Introductory Remarks -- 12.2 Human Influence on Surface Water Hydrology -- 12.2.1 Lake Volta -- 12.2.2 Lake Victoria -- 12.2.3 Lake Urmia -- 12.2.4 Lake Chad -- 12.2.5 Large-Scale Water Diversion Projects -- 12.2.6 Impacts on River Systems -- 12.3 Human Water Extraction -- 12.3.1 Groundwater and Irrigation -- 12.3.2 Hydrological Paradox -- References -- Part VIII Multivariate Methods in Hydrology -- 13 Statistical Methods in Hydrology -- 13.1 Advanced Statistical Decomposition Methods -- 13.1.1 Principal Component Analysis -- 13.1.2 Other Variants of Principal Component Analysis.
13.1.3 Applications and Benefits of the PCA Technique -- 13.1.4 Independent Component Analysis -- 13.2 Modelling and Understanding Relationships in Hydrology -- 13.2.1 Partial Least Square Regression -- 13.2.2 Canonical Correlation Analysis -- 13.2.3 Singular Spectral Analysis -- 13.2.4 Multiple Linear Regression Analysis -- 13.2.5 Machine Learning -- 13.2.6 Quantile Function of Hydrological Stores -- 13.2.7 Quantifying Trends in Hydrological Data -- 13.2.8 Correlation Analyses -- References -- Part IX Satellite Hydrology -- 14 Satellite Observations of Terrestrial Water Storage -- 14.1 Introduction -- 14.2 Satellite Gravity Missions: Potential in Global Freshwater Monitoring -- 14.2.1 Downscaling and Machine Learning -- 14.2.2 Global Groundwater -- 14.2.3 Climate Change Impacts on Freshwater -- 14.2.4 Global Navigation Satellite Systems -- 14.2.5 Reconstructing GRACE-Derived Terrestrial Water Storage -- 14.3 Satellite Remote Sensing for River Discharge Estimation -- 14.3.1 Scientific Advancements in River Discharge Estimation -- 14.4 Understanding Changes in Land Water Storage -- 14.5 Terrestrial Water Storage over South America -- 14.5.1 Data and Methods -- 14.5.2 Rotation of Terrestrial Water Storage Using Higher Order Statistical Algorithms -- 14.5.3 Assessing Inter-Annual Variations and Changes in TWS -- 14.5.4 Modelling TWS Using Parameter Estimation Techniques -- 14.5.5 Assessing Drivers of Land Water Storage -- 14.5.6 Predicting Land Water Storage -- 14.6 Conclusion -- References -- Part X Human Water Management on Hydrology -- 15 Impacts of Water Resources Development on Hydrology -- 15.1 Contributions of Human Activities to Hydrology -- 15.1.1 Anthropogenic Influence on Stored Water -- 15.1.2 How Does Human Influence Affect Water Balance? -- 15.1.3 Assessing Impacts of Human Activities on Water Resources.
15.1.4 Hydropower Dam Operations and Repercussions on Hydrology.
Titolo autorizzato: Satellite Remote Sensing of Terrestrial Hydrology  Visualizza cluster
ISBN: 9783030995775
9783030995768
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910584486103321
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