Using remotely sensed data to map variability in health and wealth indicators in Accra, Ghana. - Ryan N. Engstrom; Eric Ashcroft; Henry Jewell; David Rain (JURSE, 2011)

Do the most vulnerable people live in the worst slums? A spatial analysis of Accra, Ghana. - Marta M. Jankowska; John R. Weeks; Ryan N. Engstrom (Ann. GIS, 2011)

Assessing the relationship between spatial features derived from high resolution satellite imagery and census variables in Accra, Ghana. - Ryan N. Engstrom; Avery Sandborn; Qin Yu; Jordan Graesser (IGARSS, 2015)

Mapping slums using spatial features in Accra, Ghana. - Ryan N. Engstrom; Avery Sandborn; Qin Yu; Jason Burgdorfer; Douglas A. Stow; John R. Weeks; Jordan Graesser (JURSE, 2015)

Evaluating the use of multiple imagery-derived spatial features to predict census demographic variables in Accra, Ghana. - Ryan N. Engstrom; Andrew Copenhaver; Yang Qi (IGARSS, 2016)

Contextural feature evaluation of multi-resolution imagery. - Qin Yu; Ryan N. Engstrom; Jordan Graesser (IGARSS, 2016)

Determining the Relationship Between Census Data and Spatial Features Derived From High-Resolution Imagery in Accra, Ghana. - Avery Sandborn; Ryan N. Engstrom (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Evaluating the relationship between spatial and spectral features derived from high spatial resolution satellite data and urban poverty in Colombo, Sri Lanka. - Ryan N. Engstrom; David Newhouse; Vishwesh Haldavanekar; Andrew Copenhaver; Jonathan Hersh (JURSE, 2017)

Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine. - Kelsey E. Nyland; Grant E. Gunn; Nikolay I. Shiklomanov; Ryan N. Engstrom; Dmitry A. Streletskiy (Remote. Sens., 2018)

Evaluating the Relationship Between Contextual Features Derived from Very High Spatial Resolution Imagery and Urban Attributes: A Case Study in Sri Lanka. - Ryan N. Engstrom; Robert Harrison; Michael L. Mann; Amanda Fletcher (JURSE, 2019)

Mapping Poverty and Slums Using Multiple Methodologies in Accra, Ghana. - Ryan N. Engstrom; Dan Pavelesku; Tomomi Tanaka; Ayago Wambile (JURSE, 2019)

The Role of Earth Observation in an Integrated Deprived Area Mapping "System" for Low-to-Middle Income Countries. - Monika Kuffer; Dana R. Thomson; Gianluca Boo; Ron Mahabir; Taïs Grippa; Sabine Vanhuysse; Ryan N. Engstrom; Robert Ndugwa; Jack Makau; Edith Darin; João Porto de Albuquerque; Caroline Kabaria (Remote. Sens., 2020)

Development of a Multi-City Deprived Area Mapping Ecosystem. - Ryan N. Engstrom; Dana R. Thomson; Julia Ek; Monika Kuffer (IGARSS, 2021)

Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning. - Jonathan Hersh; Ryan N. Engstrom; Michael L. Mann (Inf. Technol. Dev., 2021)

Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions. - Steven Chao; Ryan N. Engstrom; Michael L. Mann; Adane Bedada (Remote. Sens., 2021)

A Methodology for Georeferencing and Mosaicking Corona Imagery in Semi-Arid Environments. - Brooke Iacone; Ginger R. H. Allington; Ryan N. Engstrom (Remote. Sens., 2022)

Evaluating the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple Cities. - Ryan N. Engstrom; Maxwell Owusu; Arathi Nair; Amir Jafari; Dana R. Thomson; Monika Kuffer (IGARSS, 2023)

Large Area Mapping of Urban Deprivation from Sentinel-2 and Google Open Buildings using Deep Learning. - Ryan N. Engstrom; Maxwell Owusu; Mina Hanna; Amir Jafari; Dana R. Thomson; Monika Kuffer (IGARSS, 2024)

IDEAMAPS: Modelling Sub-Domains of Deprivation with EO and AI. - Monika Kuffer; Ángela Abascal; Ryan N. Engstrom; Dana R. Thomson; Grant Tregonning; Adenike Shonowo; Qunshan Zhao; João Porto de Albuquerque; Peter Elias 002; Francis C. Onyambu; Caroline Kabaria (IGARSS, 2024)

Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning. - Maxwell Owusu; Arathi Nair; Amir Jafari; Dana R. Thomson; Monika Kuffer; Ryan N. Engstrom (Comput. Environ. Urban Syst., 2024)

Evaluating the Ability to Map the Degree of Informality within a City using a Scalable, Machine Learning Methodology in Nairobi, Kenya. - Ryan N. Engstrom; Akhil Bharadwaj; Maxwell Owusu; Qunshan Zhao; Sebastian Hafner; Monika Kuffer; Francis C. Onyambu; Caroline Kabaria; Peter Elias 002; Oluwatoyin Odulana; Grant Tregonning; Bunmi Alugbin; et al. (JURSE, 2025)

Mapping Indicators for Morphological Informality in Nairobi, Kenya Using Satellite Imagery. - Sebastian Hafner; Manuella Comerio De Paulo; Qunshan Zhao; Monika Kuffer; Ryan N. Engstrom; Dana R. Thomson; Francis C. Onyambu; Caroline Kabaria; Peter Elias 002; Ángela Abascal; Grant Tregonning; Oluwatoyin Odulana; et al. (JURSE, 2025)