Conference Agenda
Session | ||
Young Scientist Awards: Session includes a pre-selection of oral presentations by YSc authors who have applied for the award.
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Presentations | ||
ID: 243
/ Young Scientist Awards: 1
Deciphering Exterior: Building Energy Efficiency Prediction with Emerging Urban Big Data 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 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 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 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 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 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 |