IN33B:
Boundaries, Buildings, and ’Burbs: Foundational Geospatial Data to Support Sustainable Development, Geohealth, Hazard, and Climate Applications II Posters


Submit an Abstract to this Session


Session ID#: 50045

Session Description:
Detailed spatio-temporal data on administrative units and boundaries, human settlements and infrastructure, population distribution, and land use/land cover are the foundations for more integrated sustainable development, including improved resilience to hazards, climate change, and geohealth threats. Remote sensing data from satellites, drones, and other platforms, transactional and consumer data, and crowd sourcing, together with traditional administrative data sources such as censuses and surveys, provide an increasingly complex and dynamic picture about human activity on the planet. Integrating these diverse data sources in usable ways is challenging, requiring careful attention to different units and scales of analysis, measurement and modeling limitations and assumptions, uncertainties and biases, and other factors. This session will report on efforts to improve generation of high-quality foundational data, promote understanding of the expanding suite of data products, develop intercomparison and validation frameworks, apply these data in diverse public- and private-sector applications, and address access and privacy issues.
Primary Convener:  Robert S Chen, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Palisades, United States
Conveners:  Forrest R. Stevens, University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, United States, Deborah Balk, CUNY Institute for Demographic Research, New York, NY, United States and Budhendra L Bhaduri, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Primary Liaison:  Robert S Chen, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Palisades, United States
Chairs:  Robert S Chen, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Palisades, United States and Forrest R. Stevens, University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, United States
OSPA Liaison:  Forrest R. Stevens, University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, United States

Cross-Listed:
  • GC - Global Environmental Change
  • GH - GeoHealth
  • NH - Natural Hazards
  • SI - Societal Impacts and Policy Sciences
Index Terms:

0240 Public health [GEOHEALTH]
1630 Impacts of global change [GLOBAL CHANGE]
1980 Spatial analysis and representation [INFORMATICS]
4330 Vulnerability [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Can remote sensing data complement or even replace the current sampling frames in household surveys in developing countries? (443892)
Brian Blankespoor1, Talip Kilic2, Siobhan Murray3, Espen Beer Prydz2 and Michael Wild4, (1)World Bank Group, Development Economics Data Group, Washington, DC, United States, (2)World Bank, Development Economics Data Group, Rome, Italy, (3)World Bank, Development Economics Data Group, Washington, DC, United States, (4)World Bank, Development Economics Data Group, Washington, United States
Smart and Actionable Information from Space – A New Platform for Multi-Source Data Exploration on Human Activity on Earth (404373)
Thomas Esch1, Felix Bachofer1, Jakub Balhar2, Martin Böttcher3, Enguerran Boissier4, Emmanuel Mathot4, Mattia Marconcini1, Annekatrin Metz-Marconcini1, Tomas Soukup2, Vaclav Svaton5 and Julian Zeidler1, (1)German Aerospace Center (DLR), Land Surface Dynamics, Weßling, Germany, (2)Gisat, Prague, Czech Republic, (3)Brockmann Consult, Geesthacht, Germany, (4)Terradue, Rome, Italy, (5)IT4Innovations, VŠB – Technical University of Ostrava, Ostrava, Czech Republic
Fusing Land Use Data and Population Density Estimates for High Resolution Population Modeling: LandScan HD (450051)
Sean Reid1, Eric Weber1, Jessica Moehl2, Jacob Alex Cooper3 and Cassidy Levy3, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, GSHS, Geoinformatics Engineering, Oak Ridge, United States, (3)Oak Ridge National Laboratory, Oak Ridge, United States
A global typological framework for mapping neighborhood variation using machine learning and remote sensing. (442935)
St. Thomas Majeau LeDoux, Jeanette Weaver, Dalton Lunga and Eric Weber, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Fire Analysis of the Thomas Fire in California Using NASA Data in a Geographical Information System (343848)
Ross Bagwell1, Byron Peters1 and Min Minnie Wong2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Science Systems and Applications, Inc., Lanham, MD, United States
Flood Analysis of the Thomas Flood in California Using NASA Data in a GIS (375326)
Byron Peters, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Ross Bagwell, Science Systems & Applications, Inc, Greenbelt, United States and Min Minnie Wong, Science Systems and Applications, Inc., Lanham, MD, United States
Mapping Regional Effects of Exposure to Hydraulic Fracturing Fluid and Linking with Information on Toxicity (350285)
Mary Regina Boland, University of Pennsylvania, Philadelphia, PA, United States and Caroline DeVoto, University of Pennsylvania, Biostatistics, Epidemiology & Informatics, Philadelphia, United States
U.S. State Level Futuristic Population Downscaling at 1 KM Resolution under SSPs for Integrated Assessment Modeling (398743)
Hamidreza Zoraghein, National Center for Atmospheric Research, Boulder, CO, United States
Large-scale annual mapping of urban extent using nighttime VIIRS and daytime MODIS satellite data and a combination of machine learning models (419041)
Xue Liu1, Alex M de Sherbinin2, Yanni Zhan3 and Robert S Chen2, (1)Center for International Earth Science Information Network, Columbia University, Palisades, NY, United States, (2)Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Palisades, United States, (3)Columbia University, Center for International Earth Science Information Network, Palisades, United States
Multi-Disciplinary Determination of the Rural/Urban Boundary: A Case Study in Xi’an, China (432626)
Lei Fang, UCAS University of Chinese Academy of Sciences, Beijing, China; Institute of Geographic Sciences and Natural Resources Research, CAS, State Key Laboratory of Resources and Environmental Information System, Beijing, China and Yingjie Wang, Centre d'Etudes Spatiales de la Biosphere, Toulouse Cedex 9, France
What the People are Within, the Buildings Express Without: Understanding Facility-Use Variability on a Global Scale (439869)
Sarah Elizabeth Walters, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Marie Urban, Oak Ridge National Laboratory, GSHS, Human Geography, Oak Ridge, TN, United States
Inclusion of Ancillary Data for Systematic Selection of Training Data for Convolutional Neural Networks (449975)
Katherine Wakefield1, Gene Bailey1, Kyle Landolt2, Melanie Laverdiere3, Jessica Moehl4, Jacob McKee1 and Eric Weber3, (1)Oak Ridge National Laboratory, Geographic Information Science and Technology, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Geographic Information Science and Technology, Oak Ridge, United States, (3)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (4)Oak Ridge National Laboratory, GSHS, Geoinformatics Engineering, Oak Ridge, United States
Combining time series InSAR with GIS for assessing health condition of urban facilities: a case study of Hangzhou, China (371430)
Yonghong Zhang1, Hongan Wu1, Yan Jin2 and Aiqin Li2, (1)Chinese Academy of Surveying and Mapping, Beijing, China, (2)Zhejiang Academy of Surveying and Mapping, Hangzhou, China
What We See Versus What We Know: Detecting Slum Locations Through Satellite Imagery Analysis and Primary Source Research in the City of Johannesburg (413639)
Sarah Ann Tennille1, Jeanette Weaver2 and Dalton Lunga2, (1)Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States
Demographic, Economic and Physical Data Integration: Measuring Hillside’s Urban Occupation in Metropolitan Region of São Paulo (Brazil) (454623)
Mayumi Cursino de Moura Hirye1, Timon McPhearson2, Angelo Salvador Filardo Jr.3 and Diógenes Salas Alves Sr.1, (1)INPE National Institute for Space Research, Departamento de Processsamento de Imagens, São José dos Campos, Brazil, (2)Urban Systems Lab, New York University, New York, United States, (3)Universidade de São Paulo, Faculdade de Arquitetura e Urbanismo, São Paulo, Brazil
Utilisation of High Resolution Satellite Image for Planning and Development of Per capita Green cover in the city of Bhimavaram, Andhra Pradesh, India (463724)
Madhu BABU Kanaparthi, JNTUK, Hyderabad, India, Sreenivasulu Vemu Dr, JNTUK, Civil Engineering, Kakinada, India and Sitiraju Srinivasa Rao, RRSC- W National Remote Sensing center, ISRO, Jodhpur, India
Settlement of sea level rise zones in the United States: Using Zillow data to investigate historical development patterns (444133)
Anna Elizabeth Braswell, University of Florida, Ft Walton Beach, FL, United States and Stefan Leyk, University of Colorado at Boulder, Geography, Boulder, CO, United States
‘Leave No-One Behind’ - Estimating and Mapping Populations in Off-Grid and Hard-to-Reach Places in Mangrove Areas of West Africa (456973)
Sylwia Trzaska1, Gregory Yetman2, Susana B Adamo3, Kytt MacManus4, Paola Kim Blanco4 and Sandra Baptista4, (1)International Research Institute for Climate and Society (IRI), Columbia University, Palisades, NY, United States, (2)Columbia University, Center for International Earth Science Information Network (CIESIN), Palisades, United States, (3)Center for International Earth Science Information Network, Palisades, United States, (4)Center for International Earth Science Information Network, Palisades, NY, United States
Summarized groundwater monitoring well data in hydrogeological units of mountainous regions, Taiwan (461666)
Jung-Jun Alan Lin1, Feng-Mei Li1, Chien-Chung Ke1, Su-Yun Chi1 and Yen-Tsu Lin2, (1)Sinotech Engineering Consultants, Inc., Taipei, Taiwan, (2)Central Geological Survey, Ministry of Economic Affairs, Taipei, Taiwan
Differentiating natural and anthropogenic nitrate contamination to groundwater through conventional and unconventional geochemistry (456090)
Benjamin Linhoff, Stuart Norton, Rebecca Travis, Zachary Romero and Brandon Waters, USGS New Mexico Water Science Center, Albuquerque, NM, United States
Legacy Pesticides in Riverine Marsh Sediment Cores from the Tidal Freshwater Potomac River (416175)
Elizabeth Lang, George Mason University Fairfax, Fairfax, VA, United States, Greg Foster, George Mason University, Chemistry & Biochemistry, Fairfax, VA, United States, Randolph McBride, George Mason University, Department of Atmospheric, Oceanic, and Earth Sciences, Fairfax, VA, United States and David Velinsky, Academy Natural Science of Drexel University, Philadelphia, PA, United States

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