Remote Sensing of Water-Related Hazards
eBook - ePub

Remote Sensing of Water-Related Hazards

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eBook - ePub

Remote Sensing of Water-Related Hazards

About this book

Applications of remote sensing technology for monitoring and predicting water-related hazards

Water-related hazards such as floods and droughts have serious impacts on society. Their incidence has increased in recent decades, a trend set to continue with ongoing climate change. Adaptation and mitigation measures require accurate detection, monitoring, and forecasting, much of which comes from remote sensing technologies.

Remote Sensing of Water-Related Hazards takes an interdisciplinary approach, presenting recent advances in the available data, sensors, models, and indicators developed for monitoring and prediction.

Volume highlights include:

  • Progress in remote sensing of precipitation, storms, and tornados
  • Different techniques for flood mapping, forecasting, and early warning
  • Integrated approach for predicting flood and landslide cascading hazards
  • Satellite monitoring of water cycle variation, water scarcity, and drought conditions
  • Multi-indicator and multi-sensor approaches for quantifying drought impacts

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

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Yes, you can access Remote Sensing of Water-Related Hazards by Ke Zhang, Yang Hong, Amir AghaKouchak, Ke Zhang,Yang Hong,Amir AghaKouchak in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.

1
Interdisciplinary Perspectives on Remote Sensing for Monitoring and Predicting Water‐Related Hazards

Ke Zhang1, Yang Hong2,3, and Amir AghaKouchak4
1 State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, and Yangtze Institute for Conservation and Development, and College of Hydrology and Water Resources, and CMA‐HHU Joint Laboratory for HydroMeteorological Studies, Hohai University, Nanjing, China
2 School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma, USA
3 Advanced Radar Research Center, and Center for Spatial Analysis, National Weather Center, Norman, Oklahoma, USA
4 Department of Civil and Environmental Engineering, University of California, Irvine, California, USA

ABSTRACT

Water‐related hazards, including floods, droughts, rainfall‐triggered landslides, water‐scarcity‐induced soil salinization, and other interconnected hazards related to water, have caused considerable loss of human life and damage to property and infrastructure throughout human history. As significant progress has been achieved in satellite technology in recent decades, remote sensing of water‐related hazards has emerged as an effective tool for better monitoring of hazards and reducing our vulnerability to extreme events. This chapter presents an overview of this book, which reviews recent advances and presents new studies in remote sensing of floods, droughts, rainfall‐triggered landslides, and their associated cascading hazards. The main objective is to offer an up‐to‐date perspective on remote sensing of water‐related hazards across disciplines by presenting the work of scientists from different backgrounds.

1.1. BACKGROUND

Water‐related hazards broadly include floods, droughts, rainfall‐triggered landslides, water‐scarcity‐induced soil salinization, and many other interconnected hazards related to water. Floods and droughts, as the core types of water‐related hazards, have caused numerous losses of human lives and properties throughout human history (Du et al., 2018; Paprotny et al., 2018). With rapid socioeconomic development, population and industrial growth, and other anthropogenic activities over recent decades, many new water‐related challenges have emerged and imposed increasing threats on the built and natural environment (Lehnert et al., 2017; Wear et al., 2021; Zhang et al., 2021). Moreover, climate change and variability have altered regional to global water cycles (Huntington, 2010; Zhang et al., 2018; Y. Q. Zhang et al., 2016), causing an overall increase in the frequency and intensity of drought and floods around the world (AghaKouchak et al., 2015; Gu et al., 2020). Importantly, climate change is projected to increase the frequency and intensity of drought and floods in the mid‐ to late 21st century (IPCC, 2013; Wu et al., 2020), and to combine with other anthropogenic activities (AghaKouchak et al., 2021; Zhang et al., 2015; Y. Q. Zhang et al., 2016), leading to a rising risk to humans (Kam et al., 2021; Roudier et al., 2016). The growing impacts of water hazards have spurred research into improving monitoring and prediction of water hazards (Khaing et al., 2019; Makinano‐Santillan et al., 2019), understanding the underlying drivers (Gui et al., 2020), implementing various mitigation and adaptation strategies (Xu et al., 2020), and identifying other relevant factors such as climate change, population growth, exposure, and socioeconomic development.
Historically, water‐related hazards have been monitored and studied using ground‐based point observations or spatially interpolated grids (AghaKouchak et al., 2014; He et al., 2018; Sheffield et al., 2012). Globally, many areas are not well instrumented to provide sufficient ground‐based observations of precipitation, near‐surface air temperature, relative humidity, soil moisture, and atmospheric water vapor among other hydrometeorological variables that are necessary for monitoring and investigating the water‐related hazards (AghaKouchak et al., 2015). In addition, ground‐based gauges are often destroyed by water‐related hazards such as flash floods, hurricanes, and landslides, making real‐time observation and consistent analysis of water‐related hazards challenging.
Remote sensing refers to the process of detecting and monitoring an object at a distance from sensors, often onboard platforms such as aircrafts, satellites, unmanned aerial vehicles (UAVs), and towers. Satellite remote sensing of the Earth’s weather started in earnest with the Television and Infrared Observation Satellite (TIROS‐1) mission 1960 (NASA, 1987). TIROS‐1 became a very successful mission and led to a series of additional meteorological satellite missions such as the Nimbus series, the Environmental Science Services Administration Satellite Program (ESSA), the NOAA satellites, QuikScat, Landsat, and Tropical Rainfall Measuring Mission (TRMM). NASA launched the Earth Resources Technology Satellite, which was eventually renamed Landsat 1 in 1975, on 23 July 1972. The Landsat program is a joint NASA/USGS program that provides the longest continuous space‐based record of Earth’s land in existence. In 1997, NASA launched the Earth Observing System (EOS) program (https://eospso.nasa.gov) that is composed of a series of satellite missions and scientific instruments in Earth orbit, making it possible for long‐term global observations of the land surface, biosphere, atmosphere, and oceans. There are mainly two common types of Earth‐observing satellites, namely, geostationary satellites and sun‐synchronous polar‐orbiting satellites (Njoku, 2014). Geostationary satellites, at altitudes of approximately 36,000 kilometers, revolve at speeds that match the rotation of the Earth so they are stationary relative to the Earth’s surface (Njoku, 2014). This allows the satellites to observe and collect information continuously over specific areas, which are particularly valuable for monitoring weather and forecasting water‐related hazards (Njoku, 2014). In contrast, sun‐synchronous polar‐orbiting satellites are designed to follow a north‐south orbit, allowing them to cover most of the Earth’s surface over a certain period and collect data at the same local solar time, which are extremely valuable to observe the Earth’s surface to a larger extent and monitor changes over a long time period (Njoku, 2014).
The emergence of remote sensing techniques has provided new avenues to study, monitor, and predict water‐related hazards (AghaKouchak et al., 2015; Andreas et al., 2020; Argaz et al., 2019; Boni et al., 2020;...

Table of contents

  1. Cover
  2. Table of Contents
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. LIST OF CONTRIBUTORS
  7. PREFACE
  8. 1 Interdisciplinary Perspectives on Remote Sensing for Monitoring and Predicting Water‐Related Hazards
  9. Part I: Remote Sensing of Precipitation and Storms
  10. Part II: Remote Sensing of Precipitation and Storms
  11. Part III: Remote Sensing of Precipitation and Storms
  12. Index
  13. End User License Agreement