IN015
Harnessing the Geospatial Data Revolution to Advance Sustainability Science

Session ID#: 160864

Session Description:
Many sustainability challenges, including for example biodiversity loss, and food and water insecurity, among others, are interdependent across space and over time. Tackling these challenges, as a geospatial data deluge permeates broad scientific and societal realms, requires transformative understanding of the complex interactions between driving processes and local sustainability stresses across the full range of spatial, temporal, and domain-specific scales. How to harness geospatial data for multi-scale discoveries aimed at the sustainable development goals is a grand challenge. Conventional scientific approaches tend to be fragmented in space and time, and too frequently they fail to extend beyond siloed domains. These limitations preclude the full and informed use of complex geospatial data, making multi-scale inference and prediction difficult or infeasible. This session invites submissions that address how to holistically integrate heterogeneous geospatial data, innovative artificial intelligence and data science approaches, and domain-specific models with computational reproducibility to advance sustainability science.
Index Terms:

1630 Impacts of global change [GLOBAL CHANGE]
1808 Dams [HYDROLOGY]
1926 Geospatial [INFORMATICS]
4329 Sustainable development [NATURAL HAZARDS]

Primary Convener:  Shaowen Wang, University of Illinois at Urbana Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, Urbana, IL, United States
Conveners:  Thomas W Hertel, Purdue University, West Lafayette, IN, United States and Upmanu Lall, Columbia University, Earth and Environmental Engineering, New York, United States
Student/Early Career Convener:  Deanna A Hence, University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, United States
 
Machine Learning Based High-resolution Soil Moisture Mapping and Spatial-temporal Analysis across the Contiguous USA: The mlhrsm Package (1067143)
Jingyi Huang, University of Wisconsin Madison, Soil Science, Madison, WI, United States, Yuliang Peng, University of Wisconsin-Madison, Statistics, Madison, United States, Zhengwei Yang, USDA National Agricultural Statistics Service, Research and Development Division, Washington, United States and Zhou Zhang, University of Wisconsin-Madison, Biological Systems Engineering, Madison, United States
 
High-resolution Mapping of US-China Bilateral Agricultural and Food Supply Chains (1101786)
Akshay Pandit, University of Illinois at Urbana Champaign, Urbana, IL, United States, Deniz Berfin Karakoc, University of Illinois at Urbana-Champaign, Urbana, IL, United States and Megan Konar, University of Illinois at Urbana Champaign, Urbana, United States
 
Data Collection and Data Processing Methods for Creating Grid-Based Flood Hazard Maps (1102001)
Kuyoon Kim, Miran Lee, Changjae Kwak, Jiwon Moon Dr. and Jihye Han, National Disaster Management Research Institute, Ulsan, South Korea
 
Mangrove Spatial Monitoring In Zanzibar Archipelago For Blue Carbon Storage (1110476)
Abraham Kavana, Mwambao Coastal Community Network, Unguja, Zanzibar, Tanzania; United States Forestry Services (USFS), Washington, United States
 
Towards a Federated “Climate Network” through the Efficient Federation of Geospatial Data and Analytics (1128949)
Campbell Watson, IBM Research USA, Yorktown Heights, NY, United States, Hendrik Hamann, IBM Research, Yorktown Heights, United States, Johannes Schmude, IBM Research, New York, United States, Blair Edwards, IBM Research, Europe, Daresbury, United Kingdom, Anne Jones, IBM Research, Daresbury, United Kingdom and Komminist Weldemariam, IBM Research, Watson Research Center, Yorktown Heights, United States
 
Comparison of Deep Learning Models for Post Disaster Response (1144136)
Byungyun Yang and Junho Ser, Dongguk University, Department of Geography Education, Seoul, South Korea
 
Mapping Biogeophysical Parameters for Indian Cities Using Long-Term Satellite Data and Geospatial Technologies (1145202)
Swarnalee Mazumder, Manpa Barman, Harini Nagendra and Santonu Goswami, Azim Premji University, Centre for Climate Change and Sustainability, Bangalore, India
 
Integrating geospatial metrics to evaluate the built-form of tourist destinations in relation to sustainable development (1145381)
Tagore Sai Priya Nunna, Indian Institute of Technology Kharagpur, Kharagpur, India and Ankhi Banerjee, Indian Institute of Technology Kharagpur, Ranbir & Chitra Gupta School of Infrastructure Design & Management, Kharagpur, India
 
Evaluating green roofing subsidy program performance in Berlin using geodata and deep learning (1152021)
Margaux Antonia Huth1,2, Siling Chen1,2 and Andrea Cominola1,2, (1)Technische Universität Berlin, Chair of Smart Water Networks, Berlin, Germany, (2)Einstein Center Digital Future, Berlin, Germany
 
SIMPLE-G: Integrating Spatially and Temporally Heterogeneous Data to Inform a Multi-Scale and Multi-System Framework of Sustainability and Food Security (1161098)
Iman Haqiqi, Purdue University, West Lafayette, United States
 
Role of Machine Learning in Climate Change Impact Assessment on Population Decline of African Lion (1161931)
Priyanka Singh, University of Petroleum and Energy Studies, School of Computer Sciences, Burdwan, India
 
Open Science Approaches for Integrating Socioeconomic and Biophysical Data (1164325)
Gregory Yetman1, Kytt MacManus2, Sri Vinay3, Juan F Martinez4, John Squires5 and Robert S Chen4, (1)Center for International Earth Science Information Network, Palisades, NY, United States, (2)Center for International Earth Science Information Network, Columbia University, Palisades, NY, United States, (3)Columbia University, Palisades, NY, United States, (4)Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Palisades, United States, (5)Columbia University of New York, Center for International Earth Science Information Network, Palisades, United States
 
Effects of Variability of Climatic Conditions on the Production of Mosquitoes from Urban and Rural Stormwater Infrastructure in Central Illinois (1168135)
Pranjali Borse, University of Illinois at Urbana-Champaign, Urbana, United States, Deanna A Hence, University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, United States and Brian F. Allan, University of Illinois at Urbana Champaign, Department of Entomology, Urbana, United States
 
Combining FAIR Principles with Semantic Interoperability to Empower Sustainability Science (1168449)
Ingo Simonis, Open Geospatial Consortium, Kriftel, Germany
 
Estimating Cyanobacteria Abundance and Bloom Occurrence in Western Lake Superior with Satellite Remote Sensing. (1184626)
Hector Barreras, Environmental Protection Agency Narragansett, Narragansett, RI, United States and Darryl J Keith, US Environmental Protection Ag, Narragansett, RI, United States
 
CyberGIS-Jupyter for Water - An Open Geospatial Computing Platform for Collaborative Water Research (1186546)
Zhiyu Li1, Alexander Michels1, Anand Padmanabhan2, Ayman Nassar3, David G Tarboton4 and Shaowen Wang5, (1)University of Illinois at Urbana-Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Urbana, United States, (2)University of Illinois at Urbana Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Urbana, IL, United States, (3)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States, (4)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, (5)University of Illinois at Urbana Champaign, CyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, Urbana, IL, United States
 
Characterization of Transitional Urban Growth in an Arctic City (1191407)
Matthew G Jull1, Benjamin DiNapoli2 and Marantha Dawkins1, (1)University of Virginia, School of Architecture, Charlottesville, United States, (2)Skidmore, Owings & Merrill, Chicago, United States
 
A convergence approach to the drying Great Salt Lake (1195985)
David G Tarboton1, Sara A Goeking2, Ayman Nassar3, Motasem Abualqumboz4, Upmanu Lall5 and Bhuwan Ghimire4, (1)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, (2)United States Forest Service, Rocky Mountain Research Station, Ogden, United States, (3)Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States, (4)Utah State University, Logan, UT, United States, (5)Columbia University, Earth and Environmental Engineering, New York, United States
 
Modeling the Impact of Climate Change on Space-Time Patterns of Fallowing in Contiguous United States Under Data Uncertainty (1199046)
Orhun Aydin, Redlands, ca, UNITED STATES
See more of: Earth and Space Science Informatics
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