ID: 243
/ Young Scientist Awards: 1
Deciphering Exterior: Building Energy Efficiency Prediction with Emerging Urban Big Data
Maoran Sun1, Ce Hou2, Qiaosi Li3, Fan Zhang4, Ronita Bardhan1, Qunshan Zhao3
1Sustainable Design Group, University of Cambridge, United Kingdom; 2Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong; 3Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow, United Kingdom; 4Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing, China
ID: 167
/ Young Scientist Awards: 2
Mapping Agricultural Landscape Heterogeneity over Six Decades: Automatic Field Segmentation Using Historic and Modern Remote Sensing Data
Eric Kosczor1, Matthias Forkel1, Anna Cord2
1TUD Dresden University of Technology, Junior Professorship in Environmental Remote Sensing, Dresden, Germany; 2University of Bonn, Institute of Crop Science and Resource Conservation, Bonn, Germany
ID: 259
/ Young Scientist Awards: 3
Mapping Slums in Kenya by a Combination of Building Footprint Metrics and Optical Imagery
Hang Yang1, Eunice Jimmy2, Jasper van Vliet1
1Institute of Environmental Studies, Vrije University Amsterdam, The Netherlands; 2Department of Architecture, University of Naples Federico II, Italy
ID: 120
/ Young Scientist Awards: 4
The Role Of Land Use Intensity On Vegetation Recovery Gradients After Land Abandonment In The Semiarid SE Alentejo, Portugal
Henrique Morgado Cerqueira1, Maria José Roxo1, Adolfo Calvo-Cases2
1CICS.NOVA - Centro Interdisciplinar de Ciências Sociais, FCSH-UNL, Lisbon, Portugal; 2Inter-University Institute for Local Development, Unversitat de València, Spain
ID: 139
/ Young Scientist Awards: 5
How The Variability Of Tree Predictors And Biomass Changes With The Different Complexity Of Virtual 3D Scenes
Tomáš Hanousek1,2, Jan Novotný1, Barbora Navrátilová1, Růžena Janoutová1
1Global Change Research Institute of the Czech Academy of Sciences; 2Department of Geography, Faculty of Science, Masaryk University
ID: 200
/ Young Scientist Awards: 6
Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint Data
Sebastian Hafner1, Qunshan Zhao1, Angela Abascal2, Manuella Comerio de Paulo1, Grant Tregonning1, Alexandra Middleton3, Adenike Shonowo1, Monika Kuffer4, Ryan Engstrom5, Dana R. Thomson6, Francis C. Onyambu7, Caroline Kabaria7, Peter Elias8, Oluwatoyin Odulana8, Bunmi Alugbin8, Kehinde Baruwa8, João Porto de Albuquerque1
1Urban Big Data Centre (UBDC), University of Glasgow, Glasgow, United Kingdom; 2Engineer Department, Public University of Navarra, Pamplona, Spain; 3University of Warwick, Warwick, United Kingdom; 4Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enchede Netherlands; 5Department of Geography & Environment, George Washinton University, Washington, D.C., United States; 6Center for Integrated Earth System Information (CIESIN), Columbia University, New York, United States; 7African Population and Health Research Center (APHRC), Nairobi, Kenya; 8University of Lagos, Lagos, Nigeria
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