Richard Sliuzas

Orcid: 0000-0001-5243-4431

According to our database1, Richard Sliuzas authored at least 34 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2022
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas.
Comput. Environ. Urban Syst., 2022

The Missing Millions in Maps: Exploring Causes of Uncertainties in Global Gridded Population Datasets.
ISPRS Int. J. Geo Inf., 2022

2021
EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Spatial and Temporal Human Settlement Growth Differentiation with Symbolic Machine Learning for Verifying Spatial Policy Targets: Assiut Governorate, Egypt as a Case Study.
Remote. Sens., 2020

Evaluating Spatial Scenarios for Sustainable Development in Quito, Ecuador.
ISPRS Int. J. Geo Inf., 2020

Enhanced data and methods for improving open and free global population grids: putting 'leaving no one behind' into practice.
Int. J. Digit. Earth, 2020

Measuring and understanding global human settlements patterns and processes: innovation, progress and application.
Int. J. Digit. Earth, 2020

Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
An Improved Global Analysis of Population Distribution in Proximity to Active Volcanoes, 1975-2015.
ISPRS Int. J. Geo Inf., 2019

Do we underestimate the global slum population?
Proceedings of the Joint Urban Remote Sensing Event, 2019

2018
Capturing the Urban Divide in Nighttime Light Images From the International Space Station.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia.
Remote. Sens., 2018

The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator.
ISPRS Int. J. Geo Inf., 2018

Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects.
ISPRS Int. J. Geo Inf., 2018

2017
Developing a cellular automata model of urban growth to inform spatial policy for flood mitigation: A case study in Kampala, Uganda.
Comput. Environ. Urban Syst., 2017

Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai.
Remote. Sens., 2017

Assessing the quality of Global Human Settlement Layer products for Kampala, Uganda.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Slum mapping.
Proceedings of the Joint Urban Remote Sensing Event, 2017

City nighttime light variations using ISS images.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Spatial patterns of slums: Comparing African and Asian cities.
Proceedings of the Joint Urban Remote Sensing Event, 2017

An automated technique for basemap updating using UAV data.
Proceedings of the Joint Urban Remote Sensing Event, 2017

2016
Uncertainty analysis for image interpretations of urban slums.
Comput. Environ. Urban Syst., 2016

Extraction of Slum Areas From VHR Imagery Using GLCM Variance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Slums from Space - 15 Years of Slum Mapping Using Remote Sensing.
Remote. Sens., 2016

Modelling the impacts of urban upgrading on population dynamics.
Environ. Model. Softw., 2016

Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
The utility of the co-occurrence matrix to extract slum areas from VHR imagery.
Proceedings of the Joint Urban Remote Sensing Event, 2015

2014
The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery.
Comput. Environ. Urban Syst., 2014

2013
Transferability of Object-Oriented Image Analysis Methods for Slum Identification.
Remote. Sens., 2013

2012
An ontology of slums for image-based classification.
Comput. Environ. Urban Syst., 2012

Exploring spatial evolution of economic clusters: A case study of Beijing.
Int. J. Appl. Earth Obs. Geoinformation, 2012

2010
Understanding heterogeneity in metropolitan India: The added value of remote sensing data for analyzing sub-standard residential areas.
Int. J. Appl. Earth Obs. Geoinformation, 2010

2007
Evaluating the compatibility of multi-functional and intensive urban land uses.
Int. J. Appl. Earth Obs. Geoinformation, 2007


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