Remote Sensing of Water-Related Hazards

ISBN-13: 9781119159124 / Angielski / Twarda / 2022 / 272 str.

Zhang, Ke

Opis

Every year, natural disasters cause substantial loss of life and livelihoods globally, costing an estimated over $100 billion per year in the form of property loss and mobilization of emergency response personnel and equipment. It is critical to monitor, model and predict the risks of natural hazards in order to save lives, enhance societal resilience to natural hazards, and reduce economic losses. Modern technologies such as remote sensing, geographical information system, and high-performance computation have greatly propelled advances in the studies of natural hazards. Remote sensing, in particular, is a useful and important tool for monitoring, modeling and early warning of natural hazards (e.g. landslides, floods, earthquakes, tornados). Recent advanced methods include but not limited in: optical images, satellite and ground-based SAR, airborne and terrestrial laser scanning, GNSS, hyperspectral imaging and sensor network. With the rapid development of technology, future improvements in resolution, precision, efficiency, accuracy and smartness can be expected. The overall objectives of this proposed book is to review and summarize the recent progresses in the monitoring, modeling and early warning of natural hazards, including floods, landslides, droughts, hurricanes, wildfires, earthquakes, tornadoes and volcanoes, and collect novel techniques and discover potential applications. The first section of the book will thus cover the methods and techniques used to monitor, detect and measure the natural hazard events and the means to obtain important informant and data to study nature hazards. The second section will describe the uses of remote sensing technologies to investigate the processes and causes of natural hazards and recent advances in the theories and mechanisms of natural hazards. Last, the third section will introduce the existing operational, early warning and forecasting systems for natural hazards.

This proposed book will include four sections: section one describes the methodologies used to monitor and detect the occurrences of natural hazards; section two summarizes the application of remote sensing technologies in investigating and understanding natural hazards; and section three provides an overview of the existing early warning and forecasting systems for natural hazards. In section one, we will present recent studies and advances that are focused on how to obtain important and necessary data to conduct the studies of natural hazards. In section two, we will compile recent advances in the theories and mechanisms that govern the processes and occurrences of natural hazards. In section three, the topic is shifted to the operational, early warning and forecasting systems for natural hazards.

Spis treści

List of Contributors viiPreface xi1. Interdisciplinary Perspectives on Remote Sensing for Monitoring and Predicting Water-Related Hazards 1Ke Zhang, Yang Hong, and Amir AghaKouchakPart I Remote Sensing of Precipitation and Storms2. Progress in Satellite Precipitation Products over the Past Two Decades: Evaluation and Application in Flash Flood Warning 13Guoqiang Tang, Tsechun Wang, Meihong Ma, Wentao Xiong, Feng Lyu, and Ziqiang Ma3. Observations of Tornadoes and Their Parent Supercells Using Ground-Based, Mobile Doppler Radars 31Howard B. BluesteinPart II Remote Sensing of Floods and Associated Hazards4. Remote Sensing Mapping and Modeling for Flood Hazards in Data-Scarce Areas: A Case Study in Nyaungdon Area, Myanmar 71Ke Zhang, Zaw Myo Khaing, and Zhijia Li5. Multisensor Remote Sensing and the Multidimensional Modeling of Extreme Flood Events: A Case Study of Hurricane Harvey--Triggered Floods in Houston, Texas, USA 87Mengye Chen, Zhi Li, and Shang Gao6. A Multisource, Data-Driven, Web-GIS-Based Hydrological Modeling Framework for Flood Forecasting and Prevention 105Zhanming Wan, Xianwu Xue, Ke Zhang, Yang Hong, Jonathan J. Gourley, and Humberto Vergara7. An Ensemble-Based, Remote-Sensing-Driven, Flood-Landslide Early Warning System 123Ke Zhang, Guoding Chen, Yi Xia, and Sheng Wang8. Detection of Hazard-Damaged Bridges Using Multitemporal High-Resolution SAR Imagery 135Wen Liu, Kazuki Inoue, and Fumio YamazakiPart III Remote Sensing of Droughts and Associated Hazards9. Drought Monitoring Based on Remote Sensing 151Xin Li, Ran Tao, and Ke Zhang10. Remote Sensing of Vegetation Responses to Drought Disturbances Using Spaceborne Optical and Near-Infrared Sensors 169Ke Zhang, Linxin Liu, Yunping Li, and Ran Tao11. Recent Advances in Physical Water Scarcity Assessment Using GRACE Satellite Data 187Emad Hasan and Aondover Tarhule12. Study of Water Cycle Variation in the Yellow River Basin Based on Satellite Remote Sensing and Numerical Modeling 203Meixia Lv and Zhuguo Ma13. Assessing the Impact of Climate Change-Induced Droughts on Soil Salinity Development in Agricultural Areas Using Ground and Satellite Sensors 223Dennis L. Corwin and Elia ScudieroIndex 245

O autorze

Ke Zhang, Hohai University, China.Yang Hong, University of Oklahoma, USA.Amir AghaKouchak, University of California, Irvine, USA.