Multiscale Hydrologic Remote Sensing: Perspectives and Applications

ISBN-13: 9781439877456 / Angielski / Twarda / 2012 / 568 str.

Ni-Bin Chang

Opis

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes. Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such as

• What are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models?
• How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed?
• How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale?

Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies. This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

Spis treści

Toward Multiscale Hydrologic Remote Sensing for Creating Integrated Hydrologic Observatories. Local-Scale Hydrological Remote Sensing: Advanced Ground Penetrating Radar for Soil Moisture Retrieval. Storm Impact on the Coastal Geomorphology and Current Field by Wave Field Image Sequences. Comparative Analysis of Surface Energy Balance Models for Actual Evapotranspiration Estimation through Remotely Sensed Images. Thermal Radiation and Energy Closure Assessment in Evapotranspiration Estimation for Remote Sensing Validation. Urban-Scale Hydrological Remote Sensing: Spatiotemporal Interactions between Soil Moisture, Vegetation Cover, and Evapotranspiration in the Tampa Bay Urban Region, Florida. Developing a Composite Indicator with Landsat Thematic Mapper/Enhanced Thematic Mapper Plus Images for Drought Assessment in a Coastal Urban Region. Watershed-Scale Hydrological Remote Sensing: Modeling Stream Flow Changes with the Aid of Multisourced Remote Sensing Data in a Poorly Gauged Watershed. MODIS-Based Snow Cover Products, Validation, and Hydrologic Applications. Modeling Snowmelt Runoff under Climate Change Scenarios Using MODIS-Based Snow Cover Products. Multispectral Satellite Data for Flood Monitoring and Inundation Mapping. Regional-Scale Hydrological Remote Sensing: Precipitation Estimate Using NEXRAD Ground-Based Radar Images: Validation, Calibration, and Spatial Analysis. Radar Polarimetry for Rain Estimation. Airborne Water Vapor Differential Absorption Lidar. Continental- and Global-Scale Hydrological Remote Sensing: Global Precipitation Estimation and Applications. Instantaneous Precipitation and Latent Heating Estimation over Land from Combined Spaceborne Radar and Microwave Radiometer Observations. Global Soil Moisture Estimation Using Microwave Remote Sensing. Microwave Vegetation Indices from Satellite Passive Microwave Sensors for Mapping Global Vegetation Cover. Remote Sensing and Modeling of Global Evapotranspiration. Validation of Gravity Recovery and Climate Experiment Data for Assessment of Terrestrial Water Storage Variations. Remote Sensing of Soil and Vegetation Moisture from Space for Monitoring Drought and Forest Fire Events. Index.