NH43A:
Advances in Remote Sensing of Natural Hazards I Posters


Session ID#: 7997

Session Description:
Recent advances in remote sensing technologies, such as optical-infrared imaging, passive/active microwave remote sensing, InSAR, LiDAR, and hyperspectral remote sensing have been a primary impetus to advancing the studies of natural hazards. Fast-growing remote sensing observations have provided large information and data for understanding, detecting, and assessing natural hazards, while improved remote sensing technologies have improved the resolution, accuracy, and precision of remote sensing imagery. This session invites all studies on the advances in theories and applications of remote sensing technologies for observational, theoretical, and numerical modeling studies of natural hazards.
Primary Convener:  Ke Zhang, University of Oklahoma Norman Campus, Norman, OK, United States
Conveners:  Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States, Amir AghaKouchak, University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States and Dalia Kirschbaum, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
Chairs:  Ke Zhang, University of Oklahoma Norman Campus, Norman, OK, United States, Dalia Kirschbaum, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States and Amir Aghakouchak, University of California Irvine, The Henry Samueli School of Engineering, Irvine, CA, United States
OSPA Liaison:  Ke Zhang, University of Oklahoma Norman Campus, Norman, OK, United States

Cross-Listed:
  • G - Geodesy
  • H - Hydrology
  • IN - Earth and Space Science Informatics
  • NS - Near Surface Geophysics
Index Terms:

4314 Mathematical and computer modeling [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4337 Remote sensing and disasters [NATURAL HAZARDS]
4341 Early warning systems [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Estimating the Agricultural Water Consumption of the Yellow River Basin Based on Remote Sensing data (59381)
Guoqiang Wang, Beijing Normal University, College of Water Sciences, Beijing, China
Delineating Floodplain in North Korea using Remote Sensing and Geographic Information System (62345)
Joongbin Lim, National Institute of Forest Science, Forest ICT Research Center, Seoul, South Korea and Kyoo-seock Lee, Sungkyunkwan University, Landscape Architecture, Suwon, Gyeonggi-do, South Korea
Application of merged satellite and radar data for flood risk reduction in urban area (78398)
Kyungwon Park1, Sunkwon Yoon2, Sangmin Jang2 and Seongkyu Lee2, (1)APEC Climate Center, Climate Services and Research Department, Busan, South Korea, (2)APEC Climate Center, Busan, Korea, Republic of (South)
Evaluation and Sensitivity Analysis of An Ensemble-based Coupled Flash Flood and Landslide Modelling System Using Remote Sensing Forcing (76738)
Ke Zhang, University of Oklahoma Norman Campus, Norman, OK, United States, Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States, Jonathan J Gourley, National Severe Storms Lab, Oklahoma City, United States, Xianwu Xue, The University of Oklahoma, Norman, OK, United States and Xiaogang He, Princeton University, Princeton, NJ, United States
Mapping Slumgullion Landslide in Colorado, USA Using Airborne Repeat-Pass InSAR (84754)
Hyongki Lee1, Ramesh L Shrestha2, William E Carter3, Craig Len Glennie3, Guoquan Wang4, Zhong Lu5, Juan Carlos Fernandez-Diaz3, Ning Cao2 and Evan Zaugg6, (1)University of Houston, Department of Civil and Environmental Engineering, Houston, TX, United States, (2)University of Houston, Houston, TX, United States, (3)National Center for Airborne Laser Mapping, Houston, TX, United States, (4)University of Houston, Department of Earth and Atmospheric Sciences, Houston, TX, United States, (5)Southern Methodist University, Roy M. Huffington Department of Earth Sciences, Dallas, TX, United States, (6)Artemis, Inc., Spanish Fork, UT, United States
Determination of Destructed and Infracted Forest Areas with Multi-temporal High Resolution Satellite Images (64933)
Dursun Zafer Seker, ITU, Istanbul Technical University, Geomatics Engineering, Istanbul, Turkey, Alper Unal, Istanbul Technical University, Istanbul, Turkey, Sinasi Kaya, Istanbul Technical University, Geomatics Engineering Department, Maslak, Turkey and Ugur Alganci, ITU, Istanbul, Turkey
Mineralogical Composition and Potential Dust Source of Playas in the Western U.S. and Australia as Remotely Identified Through Imaging Spectroscopy. (63616)
Logan Wren Raming1, William H Farrand2 and Brenda B. Bowen1, (1)University of Utah, Salt Lake City, UT, United States, (2)Space Science Inst, Boulder, CO, United States
Tracing the spatio-temporal evolution of the Merapi 2010 erupted deposits based on object-oriented classification and object-based image analysis of multi-temporal VHR optical and ALOS radar imagery (61468)
Jean-Claude Thouret1,2, Akhmad Solikhin1,3, Virginie Pinel4, Zeineb Kassouk1, Avijit Gupta5, Soo Chin Liew6 and Jean-François Oehler7, (1)University Blaise Pascal Clermont-Ferrand II, Clermont-Ferrand, France, (2)Univ Blaise Pascal-Clermont II, Clermont-Ferrand, France, (3)CVGHM, Bandung, Indonesia, (4)Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, Université Gustave Eiffel, ISTerre, Grenoble, France, (5)University of Wollongong, Wollongong, NSW, Australia, (6)National University of Singapore, Singapore, Singapore, (7)ALTRAN Ouest, Brest, France
People and Volcanoes: How many and how close? (68540)
Karen Holmberg, New York University, New York, NY, United States and Christopher Small, Columbia University of New York, Palisades, NY, United States
Hot Spot Detection System Using Landsat 8/OLI Data (77226)
Soushi Kato1, Ryosuke Nakamura2, Atsushi Oda2, Akihiro Iijima2, Toru Kouyama3 and Toshiaki Iwata3, (1)National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, (2)National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, (3)AIST - National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Comparison of airborne and spaceborne TIR data for studying volcanic geothermal areas (82904)
Richard Gregory Vaughan1, Henry Heasler2, Cheryl Jaworowski2, Deborah Bergfeld3 and William Evans4, (1)USGS Astrogeology Science Center, Flagstaff, AZ, United States, (2)National Park Service Yellowstone, Yellowstone National Park, WY, United States, (3)USGS Central Region Offices Denver, Denver, CO, United States, (4)USGS Volcano Science Center, Menlo Park, CA, United States
Spatial and temporal variations of the Longxi river channel in Sichuan province after the 2008 Wenchuan earthquake, China (73330)
Biyun Guo, Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, Zhejiang, 316000, P.R. China, Zhoushan, China, Taiping Xie, College of Politics,Tongling University, Tongling, China and Guangzhe Liu, College of Forestry ,Northwest A&F University,College of Forestry, Yangling, China
Space-Based Detection of Sinkhole Activity in Central Florida (73625)
Talib Oliver-Cabrera1, Sarah Kruse2 and Shimon Wdowinski1, (1)University of Miami, Marine Geology and Geophysics, Miami, FL, United States, (2)University of South Florida Tampa, Tampa, FL, United States
Integrated Geohazard Screening Using Remote Sensing, Including Satellite and Helicopter Based Imagery, LiDAR, and Geophysics, in Tajikistan and Kyrgyzstan, Central Asia (85297)
Adam Michael Wade1, Ozgur Kozaci1, Christopher S Hitchcock2, Graham Konieczny3 and Doug Garrie3, (1)Fugro Consultants, Inc. Walnut Creek, Walnut Creek, CA, United States, (2)InfraTerra, San Francisco, CA, United States, (3)CGG, Calgary, Canada
REMOTE SENSING ANALYSIS OF A RAPIDLY ERODING SEA CLIFF AT POINT GREY, BRITISH COLUMBIA (65598)
Allison M Westin1, Mirko Francioni1, Ryan Kremsater1, Douglas Stead1 and John J Clague2, (1)Simon Fraser University, Burnaby, BC, Canada, (2)Simon Fraser University, Department of Earth Sciences, Burnaby, BC, Canada
The Significant Roles of Landscape Pattern and Spatial Scale in Assessing Aeolian Desertification (69400)
Wenping Kang, Kangwon National University, Chuncheon, Korea, Republic of (South) and Sinkyu Kang, Kangwon National University, Chuncheon, South Korea
Remote Sensing Based Vulnerability Assessment of Desertification in Mongolia and Myanmar (82643)
Eun Jung Lee1, Chul-Hee Lim2, Cholho Song3, Woo-Kyun Lee4 and Seong Woo Jeon1, (1)Korea University, Seoul, South Korea, (2)Kookmin University, College of General Education, Seoul, South Korea, (3)Korea University, OJEong Resilience Institute (OJERI), Seoul, Korea, Republic of (South), (4)Korea University, Department of Environmental Science and Ecological Engineering, Seoul, South Korea
Utilizing Remote Sensing Landsat 7 Data to Measure Changes in Soil Salinity in Central Valley, CA (86466)
Kristen L. Whitney, Chapman University, Center of Excellence in Earth Systems Modeling & Observations, Orange, CA, United States and Hesham Mohamed El-Askary, Chapman University, Orange, CA, United States
Remote Sensing Soil Salinity Map for the San Joaquin Vally, California (62933)
Elia Scudiero1, Todd H Skaggs2, Ray G Anderson2 and Dennis Lee Corwin2, (1)USDA-ARS, US Salinity Laboratory, Riverside, CA, United States, (2)USDA-ARS, U.S. Salinity Laboratory, Riverside, CA, United States
Determination of the Factors Governing Soil Erodibility Using Hyperspectral Visible and Near Infrared Reflectance Spectroscopy (59835)
Qingqing Fang II and Guangyu Ma, Beijing Normal University, Beijing, China

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