Sliuzas, R.
* 2009: Object-Oriented Analysis of Very High Resolution Orthophotos for Estimating the Population of Slum Areas, A Case of Dar-Es-Salaam, Tanzania
* 2011: Spatio-temporal modelling of informal settlement development in Sancaktepe district, Istanbul, Turkey
* 2013: Transferability of Object-Oriented Image Analysis Methods for Slum Identification
* 2016: Slums from Space: 15 Years of Slum Mapping Using Remote Sensing
* 2017: Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai
* 2017: Informal settlement classification using point-cloud and image-based features from UAV data
* 2018: Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects
* 2018: Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia
* 2018: Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator, The
* 2019: Improved Global Analysis of Population Distribution in Proximity to Active Volcanoes, 1975-2015, An
* 2020: Evaluating Spatial Scenarios for Sustainable Development in Quito, Ecuador
* 2020: Spatial and Temporal Human Settlement Growth Differentiation with Symbolic Machine Learning for Verifying Spatial Policy Targets: Assiut Governorate, Egypt as a Case Study
* 2022: Missing Millions in Maps: Exploring Causes of Uncertainties in Global Gridded Population Datasets, The
Includes: Sliuzas, R. Sliuzas, R.[Richard]
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