Multiscale hydrologic remote sensing. Perspectives and applications

Reflecting the current focus of hydrological sciences today, this book discusses interdisciplinary issues of water resources research and remote sensing technology. It presents an exquisite arrangement of sensors, platforms, and problem-oriented features and includes all components of the hydrologic cycle such as precipitation, soil moisture, evaporation, transpiration, lake and reservoir levels, terrestrial water storage, river discharge, and snow pack. Featuring a multi-scale approach, it addresses future concerns of hydrological remote sensing under global change, including population growth, economic development and urbanization, and environmental degradation.

Introduction. Regional and Basin-Scale Hydrological Systems. Rainfall Estimate Using NEXRAD Ground-based Radar Images: Calibration, Validation, and Spatial Analyses. Dual-polarization Radar and Phase Array Radar Rainfall Estimation. A Comparative Analysis of Surface Energy Balance Models for Actual ET Estimation by Means of Remotely Sensed Images. Advanced Ground Penetrating Radar for Soil Moisture Retrieval. MODIS-based Estimation of Crop Water Consumption for Irrigation Management. Urban Watershed-based Soil Moisture Variations under Hurricane Impacts Using MODIS Remote Sensing Data and Genetic Programming. MODIS-based Snow Cover Products and Validation. Merging Multi-frequency Remote Sensing Data for Snow Water Equivalent Estimation. Modeling Snowmelt Runoff under Climate Change Scenarios Using MODIS-Based Snow Cover Products. Regional Scale Drought Assessment Using MODIS Measurements. Using Multi-sensor Data for Composite Drought Index Development and Assessment. Estimating Stream Flow Changes with the Aid of Multi-sources Remote Sensing Data and Neural Network Model in a Poorly Gauged Semi-arid Watershed. Remote Sensing for Flood Monitoring and Inundation Mapping. Determination of the Storm Impact on the Coastal Bathymetry Based on Radar Image Sequences. The Development of Microwave Vegetation Index and Vegetation Water Content Monitoring. Space-borne Water Vapor Differential Absorption Lidar. Satellite-based Cloud Cover Estimation at Regional Scales. Instantaneous Solid Precipitation and Latent Heating Estimation Overland from Combined Space-borne Radar and Microwave Radiometer Observations. Global and Continental Scale Hydrological Systems. Global Cloud Observations, Classifications, and Applications. Using GRACE for Assessment of Multitemporal Global Terrestrial Water Storage Dynamics. Remote Sensing and Modeling for Global Precipitation Estimation and Applications. Remote Sensing and Modeling for Global ET Estimation. Remote Sensing for Monitoring Climate Change - Challenges, Perspectives and Limitations.