Remote Sensing of Water-Related Hazards. Группа авторов

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СКАЧАТЬ Science University of Oklahoma Norman, Oklahoma, USA

      Jonathan J. Gourley Hydrometeorology and Remote Sensing Laboratory School of Civil Engineering and Environmental Sciences University of Oklahoma and NOAA National Severe Storms Laboratoryand Cooperative Institute for Mesoscale Meteorological StudiesUniversity of OklahomaNorman, Oklahoma, USA

      Emad Hasan Center for Space Research The University of Texas at Austin Austin, Texas, USA and Geology Department Faculty of ScienceDamietta University New Damietta, Egypt

      Yang Hong Hydrometeorology and Remote Sensing LaboratorySchool of Civil Engineering and Environmental Sciences University of Oklahoma Norman, Oklahoma, USA and Advanced Radar Research Center, and Center for Spatial Analysis National Weather Center Norman, Oklahoma, USA

      Kazuki Inoue Institute of Industrial Science University of Tokyo Tokyo, Japan

      Zaw Myo Khaing State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, and Yangtze Institute for Conservation and Development, and College of Hydrology and Water Resources Hohai University Nanjing, China

      Xin Li College of Hydrology and Water Resources Hohai University Nanjing, China

      Yunping Li State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, and Yangtze Institute for Conservation and Development, and College of Hydrology and Water Resources Hohai University Nanjing, China

      Zhi Li Hydrology and Water Security Program School of Civil Engineering and Environmental Science University of Oklahoma Norman, Oklahoma, USA

      Zhijia Li College of Hydrology and Water Resources Hohai University Nanjing, China

      Linxin Liu State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, and Yangtze Institute for Conservation and Development, and College of Hydrology and Water Resources Hohai University Nanjing, China

      Wen Liu Graduate School of Engineering Chiba University Chiba, Japan

      Meixia Lv Key Laboratory of Regional Climate–Environment for Temperate East Asia Institute of Atmospheric Physics Chinese Academy of Sciences Beijing, China

      Feng Lyu Institute of Remote Sensing and Geographical Information Systems School of Earth and Space Sciences Peking University Beijing, China

      Meihong Ma School of Geographic and Environmental Sciences Tianjin Normal University Tianjin, China

      Zhuguo Ma Key Laboratory of Regional Climate–Environment for Temperate East Asia Institute of Atmospheric Physics Chinese Academy of Sciences Beijing, China and College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing, China

      Ziqiang Ma Institute of Remote Sensing and Geographical Information Systems School of Earth and Space Sciences Peking University Beijing, China

      Elia Scudiero Department of Environmental Sciences University of California Riverside, California, USA

      Guoqiang Tang Centre for Hydrology University of Saskatchewan Canmore, Alberta, Canada

      Ran Tao State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering andYangtze Institute for Conservation and Development, and College of Hydrology and Water Resources Hohai UniversityJoint Laboratory for Hydrometeorological Studies Hohai University Nanjing, China

      Aondover Tarhule Department of Geography, Geology, and the Environment Illinois State University Normal, Illinois, USA

      Humberto Vergara Hydrometeorology and Remote Sensing Laboratory School of Civil Engineering and Environmental Sciences, and Cooperative Institute for Mesoscale Meteorological Studies University of Oklahoma Norman, Oklahoma, USA and Advanced Radar Research Center, and Center for Spatial AnalysisNational Weather Center and NOAA National Severe Storms Laboratory Norman, Oklahoma, USA

      Zhanming Wan Colaberry Inc. Creve Coeur, Missouri, USA and The Climate Corporation Dallas, Texas, USA

      Sheng Wang State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, and Yangtze Institute for Conservation and Development, and College of Hydrology and Water Resources Hohai University Nanjing, China

      Tsechun Wang Institute of Remote Sensing and Geographical Information Systems School of Earth and Space Sciences Peking University Beijing, China

      Yi Xia State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering, and College of Hydrology and Water Recourses Hohai University Nanjing, China

      Wentao Xiong Institute of Remote Sensing and Geographical Information Systems School of Earth and Space Sciences Peking University Beijing, China

      Xianwu Xue Systems Research GroupEnvironmental Modeling Center United States National Centers for Environmental PredictionCollege Park, Maryland, USA

      Fumio Yamazaki National Research Institute for Earth Science and Disaster Resilience Ibaraki, Japan

      Ke Zhang 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

PREFACE

      Water‐related hazards—including floods, droughts, rainfall‐triggered landslides, soil salinization—and their impacts have increased significantly in the past decades. This increase has spurred research into improving monitoring and prediction, understanding the underlying drivers, implementing various mitigation and adaptation strategies, and identifying interconnectivity with other factors such as climate change, population growth, exposure, and socioeconomic development. The detection, monitoring, and forecasting of water hazards is critical to develop adaptation and mitigation measures and to prevent natural hazards from becoming human disasters.

      Progress in computational modeling and remote sensing technology has transformed the field beyond recognition in just two decades. The wealth of sensors currently in orbit include a capability for large‐scale optical remote sensing, near‐infrared remote sensing, thermal imaging, passive and active microwave sensing, hyperspectral remote sensing, and multitemporal high‐resolution synthetic aperture radar (SAR) sensing, among others. A multitude of algorithms has subsequently emerged to extract information from this data, which can be used for different a range of applications, from ecology to climate science.

      Remote sensing of hazards will be increasingly looked upon to reduce our vulnerability and increase our resilience against extreme events. However, understanding the breadth of the available contributions in this area is challenging because scientists from different fields have used satellite observations to address problems in their own disciplines. For this reason, publications on remote sensing of hazards have appeared in disciplinary journals of many fields (such as hydrology, ecology, climatology, geography, agriculture, sensor deign, and social sciences). This can limit the visibility of disciplinary studies within the broader water hazards community.

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