NH010
Geospatial Approaches and Crowdsourced Geo-Information for the Study of Natural Hazards

Session ID#: 160907

Session Description:
Although occasionally incomplete and noisy, crowdsourced Geo-Information (CG) originating from social media, volunteered geographic information, and citizen science platforms presents today significant value for a wide range of scientific disciplines. In terms of natural hazards, CG can be used to interrogate the characteristics of an event as well as assist in monitoring and managing cascading events, especially in regions with no sensors or other quantitative data. The vast available information can be curated, parsed, and examined spatially and temporally thus contributing applicative support and an important layer of information. Prominent examples of this include analyzing the spatial distribution of tweets in the case of an earthquake or the role of OpenStreetMap within humanitarian response to disasters. In this session we cordially invite studies focusing on methodological and theoretical innovations related to the usage of geospatial approaches in conjunction with CG for the study of natural hazards.
Co-Organized:
  • SY - Science and Society
Index Terms:

1926 Geospatial [INFORMATICS]
1928 GIS science [INFORMATICS]
4306 Multihazards [NATURAL HAZARDS]
4345 Community management [NATURAL HAZARDS]

Primary Convener:  Motti Zohar, University of Haifa, Geography and Environmental Studies, Haifa, Israel
Conveners:  Yair Grinberger, Hebrew University of Jerusalem, Geography, Jerusalem, Israel and Carolin Klonner, University of Heidelberg, Institute of Geography, Heidelberg, Germany
 
Which Earthquakes Are the Most Damaging? An Examination of Community-Collected ‘Did You Feel It’ Data in California, USA (1068626)
Jenna Chaffeur1,2, Sarah E Minson1, Jessie K Saunders3, Annemarie Baltay1, Elizabeth S Cochran4, Susan Elizabeth Hough4, Vincent Paul R Quitoriano5, Sara K McBride1 and J Luke Blair1, (1)U.S. Geological Survey, Earthquake Science Center, Moffett Field, United States, (2)Western Washington University, Geology Department, Bellingham, WA, United States, (3)Caltech, Pasadena, United States, (4)U.S. Geological Survey, Earthquake Science Center, Pasadena, United States, (5)USGS Geologic Hazards Science Center, Golden, United States
 
Geocoding Applications for social science to improve Earthquake Early Warning systems (1074871)
Danielle F Sumy, Incorporated Research Institutions for Seismology, Seattle, WA, United States
 
Spatio-temporal analysis in high resolution of curated tweets associated with the November 2016 wildfire in Haifa (Israel) (1084473)
Motti Zohar, University of Haifa, Geography and Environmental Studies, Haifa, Israel, Bar Gennosar, Technion - Israel Institute of Technology, Haifa, Israel, Ronnen Avni, Corvinus University of Budapest, Budapest, Hungary, Naama Tessler, Ecologist at Hanuch Borger Agronomy, Haifa, Israel and Avigdor Gal, Israel Institute of Technology, Haifa, Israel
 
Landslide Susceptibility Assessment and its Future Predicted Projection in Western Himalayas Using Machine Learning and Geo-Informatics (1194948)
Rudraksh Mohapatra, Delhi Public School, Vasant Kunj, New Delhi, India
 
An automated framework to develop electronic media based flood inventory from crowd sourced data (1196710)
Padmini Ponukumati, Indian Institute of Technology Hyderabad, Hydearbad, India and Satish Kumar Regonda, Indian Institute of Technology Hyderabad, Department of Civil Engineering and Department of Climate Change, Hydearbad, India
See more of: Natural Hazards
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