Ryan N. Engstrom

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 16

Top Topics

Spatial Resolution

Spatial Features

Top Venues

Inf. Technol. Dev.

Publications

Maxwell Owusu, Arathi Nair, Amir Jafari, Dana R. Thomson, Monika Kuffer, Ryan N. Engstrom
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning. Comput. Environ. Urban Syst. 109 (2024)
Ryan N. Engstrom, Maxwell Owusu, Arathi Nair, Amir Jafari, Dana R. Thomson, Monika Kuffer
Evaluating the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple Cities. IGARSS (2023)
Brooke Iacone, Ginger R. H. Allington, Ryan N. Engstrom
A Methodology for Georeferencing and Mosaicking Corona Imagery in Semi-Arid Environments. Remote. Sens. 14 (21) (2022)
Steven Chao, Ryan N. Engstrom, Michael L. Mann, Adane Bedada
Evaluating the Ability to Use Contextual Features Derived from Multi-Scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions. Remote. Sens. 13 (19) (2021)
Jonathan Hersh, Ryan N. Engstrom, Michael L. Mann
Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning. Inf. Technol. Dev. 27 (2) (2021)
Ryan N. Engstrom, Dana R. Thomson, Julia Ek, Monika Kuffer
Development of a Multi-City Deprived Area Mapping Ecosystem. IGARSS (2021)
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
The Role of Earth Observation in an Integrated Deprived Area Mapping "System" for Low-to-Middle Income Countries. Remote. Sens. 12 (6) (2020)
Ryan N. Engstrom, Dan Pavelesku, Tomomi Tanaka, Ayago Wambile
Mapping Poverty and Slums Using Multiple Methodologies in Accra, Ghana. JURSE (2019)
Ryan N. Engstrom, Robert Harrison, Michael L. Mann, Amanda Fletcher
Evaluating the Relationship Between Contextual Features Derived from Very High Spatial Resolution Imagery and Urban Attributes: A Case Study in Sri Lanka. JURSE (2019)
Kelsey E. Nyland, Grant E. Gunn, Nikolay I. Shiklomanov, Ryan N. Engstrom, Dmitry A. Streletskiy
Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine. Remote. Sens. 10 (8) (2018)
Ryan N. Engstrom, David Newhouse, Vishwesh Haldavanekar, Andrew Copenhaver, Jonathan Hersh
Evaluating the relationship between spatial and spectral features derived from high spatial resolution satellite data and urban poverty in Colombo, Sri Lanka. JURSE (2017)
Avery Sandborn, Ryan N. Engstrom
Determining the Relationship Between Census Data and Spatial Features Derived From High-Resolution Imagery in Accra, Ghana. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (5) (2016)
Qin Yu, Ryan N. Engstrom, Jordan Graesser
Contextural feature evaluation of multi-resolution imagery. IGARSS (2016)
Ryan N. Engstrom, Andrew Copenhaver, Yang Qi
Evaluating the use of multiple imagery-derived spatial features to predict census demographic variables in Accra, Ghana. IGARSS (2016)
Ryan N. Engstrom, Avery Sandborn, Qin Yu, Jason Burgdorfer, Douglas A. Stow, John R. Weeks, Jordan Graesser
Mapping slums using spatial features in Accra, Ghana. JURSE (2015)
Ryan N. Engstrom, Avery Sandborn, Qin Yu, Jordan Graesser
Assessing the relationship between spatial features derived from high resolution satellite imagery and census variables in Accra, Ghana. IGARSS (2015)
Ryan N. Engstrom, Eric Ashcroft, Henry Jewell, David Rain
Using remotely sensed data to map variability in health and wealth indicators in Accra, Ghana. JURSE (2011)
Marta M. Jankowska, John R. Weeks, Ryan N. Engstrom
Do the most vulnerable people live in the worst slums? A spatial analysis of Accra, Ghana. Ann. GIS 17 (4) (2011)