IN52B:
Where We Live and Work: Improving Data and Models for Human Settlements, Infrastructure, and Population Distribution III: Needs and Applications

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Session ID#: 35770

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 second session on "Needs and Applications" will showcase emerging applications of new human settlement, infrastructure, and population data to address pressing societal decisions, challenges in open data access, integration, and use, and ways to facilitate interdisciplinary collaboration across the public and private sectors. The first session focuses on new data sources and methods.
Primary Convener:  Robert S Chen, Columbia University, Center for International Earth Science Information Network, 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:  Robert S Chen, Columbia University, Center for International Earth Science Information Network, Palisades, NY, United States and Andrea E Gaughan, University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, 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]
4323 Human impact [NATURAL HAZARDS]
4329 Sustainable development [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Predicting Intra-Urban Population Densities in Africa using SAR and Optical Remote Sensing Data (Invited) (268815)
Catherine Linard1,2, Jessica Steele3, Yann Forget1, Juanfran Lopez4 and Michal Shimoni4, (1)Université Libre de Bruxelles, Spatial Epidemiology Lab (SpELL), Brussels, Belgium, (2)Université de Namur, Department of Geography, Namur, Belgium, (3)University of Southampton, Department of Geography and Environment, Southampton, United Kingdom, (4)Belgian Royal Military Academy, Signal and Image Centre, Dept. of Electrical Engineering, Brussels, Belgium
CONSOLIDATING DATA OF GLOBAL URBAN POPULATIONS: A COMPARATIVE APPROACH (301429)
Brian Blankespoor, World Bank Group, Development Economics Data Group, Washington, DC, United States, Amjad Khan, George Washington University, Economics, Washington, DC, United States and Harris Selod, World Bank Group, Development Economics Research Group, Washington, DC, United States
An Evaluation of Population Density Mapping and Built up Area Estimates in Sri Lanka Using Multiple Methodologies (293955)
Ryan Engstrom1, Vidhya Soundararajan2 and David Newhouse2, (1)George Washington University, Washington, DC, United States, (2)World Bank, Washington, DC, United States
Cloud Geospatial Analysis Tools for Global-Scale Comparisons of Population Models for Decision Making (267763)
Allie Lieber1, Matthew Hancher2 and Lauren Scott2, (1)Indian Institute of Technology Dhanbad, Dhanbad, India, (2)Google, Mountain View, CA, United States
Utilizing Suomi NPP’s Day-Night Band to Assess Energy Consumption in Rural and Urban Areas as an Input for Poverty Analysis (283213)
Helen Blue Parache1, Margaret Klug2, Krisda Tapracharoen2 and Chayanan Visudchindaporn2, (1)NASA DEVELOP Program - SSAI, Marshall Space Flight Center, Huntsville, United States, (2)NASA DEVELOP Program - SSAI, Marshall Space Flight Center, Huntsville, AL, United States

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