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Remote Sensing of Water-Related Hazards [Kõva köide]

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  • Formaat: Hardback, 272 pages, kõrgus x laius x paksus: 277x218x18 mm, kaal: 930 g
  • Sari: Geophysical Monograph Series
  • Ilmumisaeg: 01-Apr-2022
  • Kirjastus: American Geophysical Union
  • ISBN-10: 1119159121
  • ISBN-13: 9781119159124
  • Formaat: Hardback, 272 pages, kõrgus x laius x paksus: 277x218x18 mm, kaal: 930 g
  • Sari: Geophysical Monograph Series
  • Ilmumisaeg: 01-Apr-2022
  • Kirjastus: American Geophysical Union
  • ISBN-10: 1119159121
  • ISBN-13: 9781119159124
"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."--

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.

 

List of Contributors
vii
Preface xi
1 Interdisciplinary Perspectives on Remote Sensing for Monitoring and Predicting Water-Related Hazards
1(12)
Ke Zhang
Yang Hong
Amir AghaKouchak
Part I Remote Sensing of Precipitation and Storms
2 Progress in Satellite Precipitation Products over the Past Two Decades: Evaluation and Application in Flash Flood Warning
13(18)
Cuoqiang Tang
Tsechun Wang
Meihong Ma
Wentao Xiong
Feng Lyu
Ziqiang Ma
3 Observations of Tornadoes and Their Parent Supercells Using Ground-Based, Mobile Doppler Radars
31(40)
Howard B. Bluestein
Part II Remote Sensing of Floods and Associated Hazards
4 Remote Sensing Mapping and Modeling for Flood Hazards in Data-Scarce Areas: A Case Study in Nyaungdon Area, Myanmar
71(16)
Ke Zhang
Zaw Myo Khaing
Zhijia Li
5 Multisensor Remote Sensing and the Multidimensional Modeling of Extreme Flood Events: A Case Study of Hurricane Harvey-Triggered Floods in Houston, Texas, USA
87(18)
Mengye Chen
Zhi Li
Shang Cao
6 A Multisource, Data-Driven, Web-GIS-Based Hydrological Modeling Framework for Flood Forecasting and Prevention
105(18)
Zhanming Wan
Xianwu Xue
Ke Zhang
Yang Hong
Jonathan J. Courley
Humberto Vergara
7 An Ensemble-Based, Remote-Sensing-Driven, Flood-Landslide Early Warning System
123(12)
Ke Zhang
Cuoding Chen
Yi Xia
Sheng Wang
8 Detection of Hazard-Damaged Bridges Using Multitemporal High-Resolution SAR Imagery
135(16)
Wen Liu
Kazuki Inoue
Fumio Yamazaki
Part III Remote Sensing of Droughts and Associated Hazards
9 Drought Monitoring Based on Remote Sensing
151(18)
Xin Li
Ran Tao
Ke Zhang
10 Remote Sensing of Vegetation Responses to Drought Disturbances Using Spaceborne Optical and Near-Infrared Sensors
169(18)
Ke Zhang
Linxin Liu
Yunping Li
Ran Tao
11 Recent Advances in Physical Water Scarcity Assessment Using GRACE Satellite Data
187(16)
Emad Hasan
Aondover Tarhule
12 Study of Water Cycle Variation in the Yellow River Basin Based on Satellite Remote Sensing and Numerical Modeling
203(20)
Meixia Lv
Zhuguo Ma
13 Assessing the Impact of Climate Change-Induced Droughts on Soil Salinity Development in Agricultural Areas Using Ground and Satellite Sensors
223(22)
Dennis L. Corwin
Elia Scudiero
Index 245
Ke Zhang, Hohai University, China.

Yang Hong, University of Oklahoma, USA.

Amir AghaKouchak, University of California, Irvine, USA.