Chang / Hong Multiscale Hydrologic Remote Sensing

Perspectives and Applications
1. Auflage 2012
ISBN: 978-1-4398-7763-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 568 Seiten

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes.

Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such as

- What are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models?

- How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed?

- How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale?

Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies.
This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

Zielgruppe

Academic and industrial researchers, graduate students, and field professionals who use remote-sensing technologies for water resources management; undergraduate and graduate students in various workshops on hydrology, environmental engineering, remote sensing, and earth observation.

Autoren/Hrsg.

Chang, Ni-Bin

Hong, Yang

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Radartechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
• Geowissenschaften Geologie Hydrologie, Hydrogeologie

Inhaltsverzeichnis

Toward Multiscale Hydrologic Remote Sensing for Creating Integrated Hydrologic Observatories
Ni-Bin Chang and Yang Hong

Local-Scale Hydrological Remote Sensing

Advanced Ground Penetrating Radar for Soil Moisture Retrieval
Julien Minet, Khan Zaib Jadoon, François Jonard, Mohammad Reza Mahmoudzadeh, Tran Phuong Anh, and Sébastien Lambot

Storm Impact on the Coastal Geomorphology and Current Field by Wave Field Image Sequences
Stylianos Flampouris, Joerg Seemann, Christian Senet, and Friedwart Ziemer

Comparative Analysis of Surface Energy Balance Models for Actual Evapotranspiration Estimation through Remotely Sensed Images
Carmelo Cammalleri, Giuseppe Ciraolo, Antonino Maltese, and Mario Minacapilli

Thermal Radiation and Energy Closure Assessment in Evapotranspiration Estimation for Remote Sensing Validation
John H. Prueger, Joe Alfieri, William Kustas, Lawrence Hipps, Christopher Neale, Steven R. Evett, Jerry Hatfield, Lynn G. McKee, and Jose L. Chavez

Urban-Scale Hydrological Remote Sensing

Spatiotemporal Interactions between Soil Moisture, Vegetation Cover, and Evapotranspiration in the Tampa Bay Urban Region, Florida
Ni-Bin Chang and Zhemin Xuan

Developing a Composite Indicator with Landsat Thematic Mapper/Enhanced Thematic Mapper Plus Images for Drought Assessment in a Coastal Urban Region
Zhiqiang Gao, Wei Gao, and Ni-Bin Chang

Watershed-Scale Hydrological Remote Sensing

Modeling Stream Flow Changes with the Aid of Multisourced Remote Sensing Data in a Poorly Gauged Watershed
Zhandong Sun, Christian Opp, Thomas Hennig, and Ni-Bin Chang

MODIS-Based Snow Cover Products, Validation, and Hydrologic Applications
Juraj Parajka and Günter Blöschl

Modeling Snowmelt Runoff under Climate Change Scenarios Using MODIS-Based Snow Cover Products
Russell J. Qualls and Ayodeji Arogundade

Multispectral Satellite Data for Flood Monitoring and Inundation Mapping
Sadiq Ibrahim Khan, Yang Hong, and Jiahu Wang

Regional-Scale Hydrological Remote Sensing

Precipitation Estimate Using NEXRAD Ground-Based Radar Images: Validation, Calibration, and Spatial Analysis
Xuesong Zhang

Radar Polarimetry for Rain Estimation
Qing Cao and Guifu Zhang

Airborne Water Vapor Differential Absorption Lidar
Xin Wang, Hans-Joachim Eichler, and Adalbert Ding

Continental- and Global-Scale Hydrological Remote Sensing

Global Precipitation Estimation and Applications
Yang Hong, Sheng Chen, Xianwu Xue, and Gina Hodges

Instantaneous Precipitation and Latent Heating Estimation over Land from Combined Spaceborne Radar and Microwave Radiometer Observations
Mircea Grecu, William S. Olson, and Chung-Lin Shie

Global Soil Moisture Estimation Using Microwave Remote Sensing
Yang Hong, Sadiq Ibrahim Khan, Chun Liu, and Yu Zhang

Microwave Vegetation Indices from Satellite Passive Microwave Sensors for Mapping Global Vegetation Cover
Jiancheng Shi and Thomas J. Jackson

Remote Sensing and Modeling of Global Evapotranspiration
Qiaozhen Mu, Maosheng Zhao, and Steven W. Running

Validation of Gravity Recovery and Climate Experiment Data for Assessment of Terrestrial Water Storage Variations
Pat J.-F. Yeh, Qiuhong Tang, and Hyungjun Kim

Remote Sensing of Soil and Vegetation Moisture from Space for Monitoring Drought and Forest Fire Events
Lingli Wang, John J. Qu, and Xianjun Hao

Index

Über Autor(innen)

Dr. Ni-Bin Chang is currently a professor with the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. He is also a senior member of the Institute of Electronics and Electrical Engineers (IEEE) and is affiliated with the IEEE Geoscience and Remote Sensing Society and the IEEE Computational Intelligence Society. He has earned the selectively awarded titles of Certificate of Leadership in Energy and Environment Design (LEED) in 2004, Board Certified Environmental Engineer (BCEE) in 2006, Diplomat of Water Resources Engineer (DWRE) in 2007, elected Member of the European Academy of Sciences (EAS) in 2008, elected Fellow of the American Society of Civil Engineers (ASCE) in 2009, and elected Fellow of the American Association for the Advancement of Science (AAAS) in 2011. He was one of the founders of International Society of Environmental Information Management and the former editor-in-chief of the Journal of Environmental Informatics. He is currently an editor, associate editor, or editorial board member of more than 30 international journals.
Dr. Yang Hong is currently an associate professor with the School of Civil Engineering and Environmental Sciences and Adjunct Faculty with the School of Meteorology at the University of Oklahoma. He directs the HyDROS Lab (Hydrometeorology and Remote Sensing Laboratory) at National Weather Center and also serves as the co-director of WaTER (Water Technology for Emerging Regions) center, faculty member with the Atmospheric Radar Research Center, and affiliated member of Center for Analysis and Prediction of Storms at the University of Oklahoma. He has served as Chair of the AGU-Hydrology Section Technique Committee on Precipitation (2008–2012) and as editor for three journals. He is the recipient of the NASA Award "for significant achievements in systematically promoting and accelerating the use of NASA scientific research results for societal benefits" by NASA Headquarter Administrator in 2008. He has extensively published in journals of remote sensing, hydrology, and hazards and has released several technologies to universities, governmental agencies, and private companies.