IN51H:
Where We Live and Work: Improving Data and Models for Human Settlements, Infrastructure, and Population Distribution II: Methods and Sources

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Session ID#: 33686

Session Description:
Our exposure and vulnerability to extreme events, climate change, conflict, and other threats, as well as our ability to develop sustainably and build resilience, are conditioned on where we live and work and on our ability to develop and maintain protective infrastructure in sustainable human settlements. An increasing array of remote sensing and other data sources are opening up opportunities to better assess, monitor, model, and predict population and infrastructure patterns, characteristics, and change on diverse spatial and temporal scales. This session will focus on "Methods and Sources," highlighting new data sources and approaches, innovative data mining and analytic methods, and evolving modeling and validation approaches from a range of natural, social, health, and engineering science communities. The second session will focus on applications and user needs.
Primary Convener:  Robert S Chen, Columbia University of New York, Palisades, NY, United States
Conveners:  Budhendra L Bhaduri, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Andrea E Gaughan, University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, United States and Gregory Yetman, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States
Chairs:  Gregory Yetman, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States and Budhendra L Bhaduri, Oak Ridge National Laboratory, Oak Ridge, TN, United States
OSPA Liaison:  Gregory Yetman, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States
Index Terms:

1640 Remote sensing [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
1980 Spatial analysis and representation [INFORMATICS]
4323 Human impact [NATURAL HAZARDS]

Abstracts Submitted to this Session:

What is Urban? A study of census and satellite-derived urban classes in the United States (1990-2010) with comparisons to India and Mexico (282316)
Deborah Balk1, Stefan Leyk2, Bryan Jones3, Anastasia Clark1 and Mark Montgomery4, (1)CUNY Institute for Demographic Research, New York, NY, United States, (2)University of Colorado at Boulder, Geography, Boulder, CO, United States, (3)CUNY Institute for Demographic Research, New York, United States, (4)Population Council, New York, United States
The Dynamics of Population, Built-up Areas and their Evolving Associations in Gridded Population across Time and Space (289570)
Forrest R. Stevens1, Andrea E Gaughan2, Andrew J Tatem3, Catherine Linard4, Alessandro Sorichetta3, Jeremiah J. Nieves3 and Philip Reed5, (1)University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, United States, (2)University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, United States, (3)University of Southampton, Southampton, United Kingdom, (4)Free University of Brussells, Geography, Brusells, Belgium, (5)University of Louisville, Louisville, KY, United States
Recommended GIS Analysis Methods for Global Gridded Population Data (255232)
Charles E. Frye, Environmental Systems Research Institute, Living Atlas of the World, Redlands, CA, United States, Alessandro Sorichetta, University of Southampton, Southampton, United Kingdom and Amy Rose, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Geoscience Meets Social Science: A Flexible Data Driven Approach for Developing High Resolution Population Datasets at Global Scale (301016)
Amy Rose1, Jacob McKee2, Eric Weber1 and Budhendra L Bhaduri1, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Geographic Information Science and Technology, Oak Ridge, TN, United States
Mapping the Urban Side of the Earth– the new GUF+ Layer (293629)
Mattia Marconcini1, Soner Üreyen1, Julian Zeidler1, Vaclav Svaton2, Noel Gorelick3 and Thomas Esch1, (1)German Aerospace Center DLR Oberpfaffenhofen, Land Surface, Oberpfaffenhofen, Germany, (2)IT4Innovations, VŠB – Technical University of Ostrava, Ostrava, Czech Republic, (3)Google, Mountian View, CA, United States
Improved Mapping of Human Population and Settlements through Integration of Remote Sensing and Socioeconomic Data (270094)
Alex M de Sherbinin, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Palisades, United States, Gregory Yetman, Columbia University, Center for International Earth Science Information Network (CIESIN), Palisades, United States, Kytt MacManus, Center for International Earth Science Information Network, Columbia University, Palisades, United States and Sri Vinay, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States
Creating the High-Resolution Settlement Layer -- lessons learned (292575)
Andreas Gros, Meta Inc, Core Data Science Team, Menlo Park, United States and Infra Data Science Team
IPUMS: Detailed global data on population characteristics (233179)
Tracy Kugler, University of Minnesota, Minneapolis, MN, United States

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