Monika Kuffer
Orcid: 0000-0002-1915-2069
According to our database1,
Monika Kuffer
authored at least 59 papers
between 2010 and 2024.
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Bibliography
2024
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning.
Comput. Environ. Urban Syst., 2024
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
User and Data-Centric Artificial Intelligence for Mapping Urban Deprivation in Multiple Cities Across the Globe.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
Large Area Mapping of Urban Deprivation from Sentinel-2 and Google Open Buildings using Deep Learning.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
2023
Planning Walkable Cities: Generative Design Approach towards Digital Twin Implementation.
Remote. Sens., February, 2023
Toward 3D Property Valuation - A Review of Urban 3D Modelling Methods for Digital Twin Creation.
ISPRS Int. J. Geo Inf., January, 2023
Three-Dimensional Modelling of Past and Present Shahjahanabad through Multi-Temporal Remotely Sensed Data.
Remote. Sens., 2023
Proceedings of the Joint Urban Remote Sensing Event, 2023
Proceedings of the Joint Urban Remote Sensing Event, 2023
Evaluating the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple Cities.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
ISPRS Int. J. Geo Inf., December, 2022
In-Between the Lines and Pixels: Cartography's Transition from Tool of the State to Humanitarian Mapping of Deprived Urban Areas.
Digit. Soc., July, 2022
Comput. Environ. Urban Syst., 2022
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas.
Comput. Environ. Urban Syst., 2022
"Domains of deprivation framework" for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review.
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
A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Comput. Environ. Urban Syst., 2021
Is It All the Same? Mapping and Characterizing Deprived Urban Areas Using WorldView-3 Superspectral Imagery. A Case Study in Nairobi, Kenya.
Remote. Sens., 2021
Gridded Urban Deprivation Probability from Open Optical Imagery and Dual-Pol Sar Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
Extracting Urban Deprivation Indicators Using Superspectral Very-High-Resolution Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Foreword to the Special Issue on Paving the Way for the Future of Urban Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data.
Remote. Sens., 2020
The Role of Earth Observation in an Integrated Deprived Area Mapping "System" for Low-to-Middle Income Countries.
Remote. Sens., 2020
Remote. Sens., 2020
Cloud Computation Using High-Resolution Images for Improving the SDG Indicator on Open Spaces.
Remote. Sens., 2020
The Spatial Dimension of COVID-19: The Potential of Earth Observation Data in Support of Slum Communities with Evidence from Brazil.
ISPRS Int. J. Geo Inf., 2020
Towards Uncovering Socio-Economic Inequalities Using VHR Satellite Images and Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Comput. Environ. Urban Syst., 2019
Post-Disaster Recovery Assessment with Machine Learning-Derived Land Cover and Land Use Information.
Remote. Sens., 2019
Remote. Sens., 2019
Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks.
Remote. Sens., 2019
Proceedings of the Joint Urban Remote Sensing Event, 2019
Proceedings of the Joint Urban Remote Sensing Event, 2019
Proceedings of the Joint Urban Remote Sensing Event, 2019
Detection of Informal Graveyards in Lima using Fully Convolutional Network with VHR Images.
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
Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia.
Remote. Sens., 2018
ISPRS Int. J. Geo Inf., 2018
2017
Coupling Uncertainties with Accuracy Assessment in Object-Based Slum Detections, Case Study: Jakarta, Indonesia.
Remote. Sens., 2017
Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai.
Remote. Sens., 2017
Proceedings of the Joint Urban Remote Sensing Event, 2017
Proceedings of the Joint Urban Remote Sensing Event, 2017
Proceedings of the Joint Urban Remote Sensing Event, 2017
2016
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Remote. Sens., 2016
2015
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
2011
An integrative methodology to improve brownfield redevelopment planning in Chinese cities: A case study of Futian, Shenzhen.
Comput. Environ. Urban Syst., 2011
Proceedings of the Joint Urban Remote Sensing Event, 2011
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