Ryan Engstrom

Ryan Engstrom headshot

Ryan Engstrom

Professor, Director of Data Science

Geospatial Science and Applications


Email: Ryan Engstrom
Office Phone: (202) 994-7979
2036 H St NW, Room 213 Washington, DC 20052

Office Hours
Thursdays 2:00pm – 4:00pm and by appointment via Webex

Remote Sensing
Climate Change
Arctic Environments
Population Estimates

GEOG 1002 - Physical Geography 
GEOG 2107 - Introductory Remote Sensing
GEOG 2136 - Water Resources
GEOG 6307 - Digital Image Processing and Analysis

Engstrom, R., Newhouse, D., and Soundararajan, V. (2020) Estimating Small Area Population Density Using Satellite Imagery: An Application to Sri Lanka, PlosONE 15 (8) https://doi.org/10.1371/journal.pone.0237063

Hersh, J., Engstrom, R. and Mann, M. (2020) Open Data for Development: Mapping Poverty in Belize Using Open Satellite Derived Features and Machine Learning, Information Technology for Development https://doi.org/10.1080/02681102.2020.1811945

Kuffer, M., Thomson, D.R., Boo, G., Mahabir, R.; Grippa, T., Vanhuysse, S., Engstrom, R., Ndugwa, R., Makau, J., Darin, E., de Albuquerque, J.P., and Kabaria, C. (2020) The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries. Remote Sensing12, 982. Doi: 10.3390/rs12060982

Masaka, T., Newhouse, D., Silwal, A., Bedada, A, and Engstrom, R. (2020) Small Area Estimation of Non-Monetary Poverty with Geospatial Data. Policy Research working paper; https://openknowledge.worldbank.org/handle/10986/34469

Hersh, Jonathan; Engstrom, Ryan; Mann, Michael; Martin, Lucia; Mejía, Alejandra. (2020) Mapping Income Poverty in Belize Using Satellite Features and Machine Learning: Inter-American Development Bank Monograph 108, http://dx.doi.org/10.18235/0002345

Kugler, T.A., Grace, K., Wrathall, D.J., de Sherbinin, A., Van Riper, D., Aubrecht, C., Comer, D., Adamo, S.B., Cervone, G., Engstrom, R., Hultquit, C., Gaughan, A.E., Linard, C., Moran, E., Stevens, F., Tatem, A.J.,Tellman, B., Van Den Hoek, J. (2019) People & Pixels 20 years later: The current data landscape and research trends blending population and environmental data. Population and Environment. 41, pages 209–234 doi.org/10.1007/s11111-019-00326-5

Engstrom, Ryan; Newhouse, David Locke; and Soundararajan, Vidhya. (2019). Estimating Small Area Population Density Using Survey Data and Satellite Imagery : An Application to Sri Lanka (English). Poverty and Equity Global Practice Working Paper; no. 194. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/256241552483977593/Estimating-Small-Area-Population-Density-Using-Survey-Data-and-Satellite-Imagery-An-Application-to-Sri-Lanka

Engstrom, R., Pavelesku, D., Tanaka, T., and Wambile, A. (2019) Mapping Poverty and Slums Using Multiple Methodologies in Accra, Ghana, Joint Urban Remote Sensing Event (JURSE 2019) Vannes, France. DOI: 10.1109/JURSE.2019.8809052

Engstrom, R, Harrison, R., Mann, M., and Fletcher, A. (2019) Evaluating the Relationship Between Contextual Features Derived from Very High Spatial Resolution Imagery and Urban Attributes: A Case Study in Sri Lanka, Joint Urban Remote Sensing Event (JURSE 2019) Vannes, France. DOI 10.1109/JURSE.2019.8809041

Nyland, K.E., Gunn, G.E., Shiklomanov, N.I., Engstrom, R. N., and Streletskiy (2018) Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine. Remote Sensing 10, 1226 DOI:10.3390/rs10081226

Olimb, S. K., Dixon, A.P., Dolfi, E., Anderson, K., and Engstrom. R. (2017) Prairie or pasture?: Using time series NDVI to monitor grassland phenology and characteristics in Montana. Geojournal 83 (819-834) https://doi.org/10.1007/s10708-017-9805-8

Qin, Y., Epstein, H., Engstrom, R. and Walker, D. (2017) Circumpolar arctic tundra biomass and productivity dynamics in response to projected climate change and herbivory. Global Change Biology. DOI 10.1111/gcb.13632

Engstrom, Ryan; Hersh, Jonathan Samuel; Newhouse, David Locke. (2017). Poverty from space: using high-resolution satellite imagery for estimating economic well-being (English). Policy Research working paper; no. WPS 8284. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/610771513691888412/Poverty-from-space-using-high-resolution-satellite-imagery-for-estimating-economic-well-being

Engstrom, R., Copenhaver, A., Newhouse, D., Hersh, J., and Haldavanekar, V. (2017) Evaluating the Relationship between Spatial and Spectral Features Derived from High Spatial Resolution Satellite Data and Urban Poverty in Colombo, Sri Lanka.  Joint Urban Remote Sensing Event (JURSE 2017) Dubai, UAE. DOI: 10.1109/JURSE.2017.7924590

Toure, S., Stow, D., Shih, H.S., Coulter, L., Weeks, J. Engstrom, R., and Sandborn, A. (2016) An object-based temporal inversion approach to urban land use change analysis. Remote Sensing Letters. DOI 10.1080/2150704X.2016.1157640

Sandborn, A. and Engstrom, R (2016) Determining the Relationship Between Census Data and Spatial Features Derived From High Resolution Imagery in Accra, Ghana. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) Special Issue on Urban Remote Sensing. DOI 10.1109/JSTARS.2016.2519843

Engstrom, R., Copenhaver, A. and Qi, Yang (2016) Evaluating the use of Multiple Imagery Derived Spatial Features to Predict Census Demographic Variables in Accra, Ghana. International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China 10.1109/IGARSS.2016.7730909

Yu, Q., Engstrom, R., and Graesser, J. (2016) Contextural Feature Evaluation of Multi-Resolution Imagery. International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China 10.1109/IGARSS.2016.7730770

Yu, Q., Epstein, H., Engstrom, R., Shiklomanov, N. and Streletskiy, D. (2015) Land Cover and Land Use Changes in the Oil/Gas Regions of Northwestern Siberia under Changing Climatic Conditions. Environmental Research Letters. DOI:10.1088/1748-9326/10/12/124020

Gregory EF, Chamberlain JM, Teach S, Engstrom R, and Mathison DJ. (2015) Geographic Variation in the use of low acuity pediatric Emergency Medical Services. Pediatric Emergency Care DOI: 10.1097/PEC.0000000000000581

Engstrom, R., Sandborn, A., Yu, Q. and Graesser, J. (2015) Assessing the Relationship Between Spatial Features Derived from High Resolution Satellite Imagery and Census Variables in Accra, Ghana. International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, p. 2544-2547, DOI:10.1109/IGARSS.2015.7326330

Engstrom, R., Sandborn, A., Yu, Q. Burgdorfer, J., Stow, D., Weeks, J., and Graesser, J. (2015) Mapping Slums Using Spatial Features in Accra, Ghana.  Joint Urban and Remote Sensing Event Proceedings (JURSE), Lausanne, Switzerland, DOI:  10.1109/JURSE.2015.7120494

Mathison, D., Chamberlain, J., Cowan, N., Engstrom, R., Fu, L., Shoo, A., and Teach, S. (2013) Association of Primary Care Spatial Density with Non-Urgent Visits to a Pediatric Emergency Department Academic Pediatrics 13 (3):278-285 DOI: 10.1016/j.acap.2013.02.006

Engstrom, R., Ofiesh, C., Rain, D., Jewell, H., and Weeks, J. (2013) Defining Neighborhood Boundaries for Urban Health Research in Developing Countries: A Case Study of Accra, Ghana Journal of Maps DOI:10.1080/17445647.2013.765366

Azar,D., Engstrom, R., Graesser, J. and Comenetz, J. (2013) Generation of fine-scale population layers using multi-resolution satellite imagery and geospatial data Remote Sensing of Environment 130 219-232. DOI: 10.1016/j.rse.2012.11.022

Engstrom, R., Ofiesh, C., Rain, D., Jewell, H. and Weeks, J. (2013). Defining Neighborhood Boundaries for Urban Health Research: A Case Study of Accra, Ghana. In Weeks, J., Hill, A., and Stoler, J. (Eds.), Spatial Inequalities: Health, Poverty and Place in Accra, Ghana (pp. 27-38). Netherlands, Springer. DOI: 10.1007/978-94-007-6732-4_2

Weeks, J., Getis, A., Stow, D., Hill, A., Rain, D., Engstrom, R., Stoler, J., Lippitt, C., Jankowska, M., Lopez, A.C., Coulter, L, and Ofiesh, C., Connecting the Dots between Health, Poverty, and Place in Accra, Ghana (2012) Annals of the Association of American Geographers DOI: 10.1080/00045608.2012.671132

Liljedahl, A., Hinzman, L., Harazano, Y., Zona, D., Tweedie, C., Hollister, R., Engstrom, R. and Oechel, W.C., (2011) Nonlinear controls on evapotranspiration in Arctic coastal wetlands. Biogeosciences 8, 3375-3389. doi:10.5194/bgd-8-6307-2011

 Jankowska, M., Weeks, J., and Engstrom, R. (2011) Do the Most Vulnerable People Live in the Worst Slums? A Spatial Analysis of Accra Ghana. Annals of GIS 17:4, 221-235. DOI:10.1080/19475683.2011.625976

Engstrom, R. and Hope, A.S. Parameter Sensitivity of the Arctic BIOME BGC Model for Estimating Evapotranspiration in the Arctic Coastal Plain (2011) Arctic, Antarctic, and Alpine Research 43(3):380-388 DOI: 10.1657/1938-4246-43.3.380.

Rain, D., Engstrom, R., Ludlow C., and Antos, S. (2011). Accra Ghana: A City Vulnerable to Flooding and Drought-Induced Migration, in Global Report on Human Settlements 2011: Human Settlements Background Study for Chapter 4: UN Publications. 


Engstrom, R., Ashcroft, E., Jewell, H., and Rain, D. (2011) Using Remotely Sensed Data to Map Variability in Health and Wealth Indicators in Accra, Ghana. Joint Urban and Remote Sensing Event Proceedings, Munich, Germany p. 145-148, DOI: 10.1109/JURSE.2011.5764740

Azar, D., Graesser, J., Engstrom, R., Comenetz, J., Leddy, R., Schechtman, and Andrews, T. (2010) Spatial Refinement of census population distribution using remotely sensed estimates of impervious surface in Haiti. International Journal of Remote Sensing. 31: 21, 5635-5655 DOI: 10.1080/01431161.2010.496799.

Fu, L., Cowan, N., McLaren, R., Engstrom, R, and Teach, S. (2009) Is spatial accessibility to primary care providers associated with vaccination coverage among children with Medicaid insurance? Pediatrics 124(6) pp. 1579-1586; DOI: 10.1542/peds.2009-0233.

Engstrom, R.N., Hope, A.S., Kwon, H. and Stow, D. (2008) The Relationship between Soil Moisture and NDVI near Barrow, Alaska, Physical Geography. 29(1), pp. 38-53; DOI: 10.2747/0272-3646.29.1.38.

Stow, D., Peterson, A., Hope, A., Engstrom. R. and Coulter L. (2007) Greenness Trends of Arctic Tundra Vegetation in the 1990s: Comparison of Two Normalized Difference Vegetation Index Data Sets from NOAA Advanced Very High Resolution Radiometer Systems International Journal of Remote Sensing. Vol. 28 Issue 21, p4807-4822, 16p; DOI: 10.1080/01431160701264284; (AN 27217146).

Sitch, S., McGuire, A. D., Kimball, J., Gedney, N., Gamon, J., Engstrom, R.N., Wolf, A., Zhuang, Q. and Clein, J. (2007) Assessing the circumpolar carbon balance of arctic tundra with remote sensing and process-based modeling approaches. Ecological Applications. 17(1), pp. 213–234, DOI: 10.1890/1051-0761(2007)017[0213:atcboc]2.0.co;2

Engstrom, R., Hope, A.S., Kwon, H., Harazano, Y., Oechel, W.C., and Mano, M (2006) Modeling evaporation in Arctic coastal plain ecosystems using a modified version of BIOME BGC. Journal of Geophysical Research Biogeosciences- 111, G02021, doi:10.1029/2005JG000102

Engstrom, R. N., Hope, A.S., Kwon, H., Stow, D.A. and Zamolodchikov, D. (2005) Spatial distribution of near surface soil moisture and its relationship to microtopography in the Arctic coastal plain. Hydrology Research, 36 (3): 219-234., doi: 10.2166/nh.2005.0016

Hope, A.S., Engstrom, R., and Stow, D.A. (2005) Relationship between AVHRR surface temperature and NDVI in Arctic Tundra Ecosystems. International Journal of Remote Sensing, 26:8, p. 1771-1776.

Vourlitis, G.L., Verfaille, J., Oechel, W.C., Hope, A.S., Stow, D.A. and Engstrom, R. (2003) Spatial variation in regional CO2 exchange for the Kuparuk river basin, Alaska over the summer growing season. Global Change Biology 9, p. 930-941., doi: 10.1080/01431160500043780

Engstrom, R. N., Hope, A. S., Stow, D.A., Vourlitis, G. L., and Oechel, W. C. (2002) Co-variability of the Priestley-Taylor alpha coefficient and regional NDVI in Arctic landscapes, Journal of the American Water Resources Association (JAWRA), 38:6, p. 1647-1659., doi: 10.1111/j.1752-1688.2002.tb04371.x

Ph.D. (San Diego State - UC Santa Barbara)