Ryan N. Engstrom

Orcid: 0000-0002-3063-0551

According to our database1, Ryan N. Engstrom authored at least 17 papers between 2011 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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
A Methodology for Georeferencing and Mosaicking Corona Imagery in Semi-Arid Environments.
Remote. Sens., 2022

2021
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., 2021

Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning.
Inf. Technol. Dev., 2021

Development of a Multi-City Deprived Area Mapping Ecosystem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
The Role of Earth Observation in an Integrated Deprived Area Mapping "System" for Low-to-Middle Income Countries.
Remote. Sens., 2020

2019
Mapping Poverty and Slums Using Multiple Methodologies in Accra, Ghana.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Evaluating the Relationship Between Contextual Features Derived from Very High Spatial Resolution Imagery and Urban Attributes: A Case Study in Sri Lanka.
Proceedings of the Joint Urban Remote Sensing Event, 2019

2018
Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine.
Remote. Sens., 2018

2017
Evaluating the relationship between spatial and spectral features derived from high spatial resolution satellite data and urban poverty in Colombo, Sri Lanka.
Proceedings of the Joint Urban Remote Sensing Event, 2017

2016
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., 2016

Contextural feature evaluation of multi-resolution imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Evaluating the use of multiple imagery-derived spatial features to predict census demographic variables in Accra, Ghana.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Mapping slums using spatial features in Accra, Ghana.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Assessing the relationship between spatial features derived from high resolution satellite imagery and census variables in Accra, Ghana.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2011
Do the most vulnerable people live in the worst slums? A spatial analysis of Accra, Ghana.
Ann. GIS, 2011

Using remotely sensed data to map variability in health and wealth indicators in Accra, Ghana.
Proceedings of the Joint Urban Remote Sensing Event, 2011


  Loading...