Listed below are known citations to the NASA Socioeconomic Data and Applications Center (SEDAC) Urban Spatial Data data collection. The data collection, and specific data set (if known), being cited are beneath each citation. Citations to multiple collections/sets are listed on separate lines. If a publication cites remotely sensed earth observation data, whether from NASA or another source, those instruments and/or platforms are listed as well.
List last updated on 3 October 2023.

Bhanjee, S., & Zhang, S. (2020). Physical determinants of planned and informal development in Dar Es Salaam—a regression approach to construct multi-temporal land-use data. Papers in Applied Geography, 29(2), 331-344. doi:10.1080/23754931.2019.1676821
Urban Spatial Data (Dar es Salaam Land Use and Informal Settlement Data Set, v1)

Doignon, Y., Blöss-Widmer, I., Ambrosetti, E., & Oliveau, S. (2023). Spatial Distribution of Population and Urbanisation. In Population Dynamics in the Mediterranean: A Demographic Convergence? (pp. 19-32). Cham: Springer International Publishing.
Urban Spatial Data (Historical Urban Population, v1) - 10.7927/H4ZG6QBX

Frolking, S., Mahtta, R., Milliman, T., & Seto, K. C. (2022). Three decades of global trends in urban microwave backscatter, building volume and city GDP. Remote Sensing of Environment, 281, 113225. doi:10.1016/j.rse.2022.113225
Urban Spatial Data (Global Monthly and Seasonal Urban and Land Backscatter Time Series, v1) - 10.7927/gr2e-dh86

Harrington, J., & Frohlich, T. C. (2021). Mega Cities of the Ancient World. 24/7 Wall St. Retrieved from https://247wallst.com/special-report/2021/09/29/mega-cities-of-the-ancient-world/
Urban Spatial Data (Historical Urban Population, v1)

Kiacz, S., Wang, H.-H., & Brightsmith, D. J. (2023). Presence of endangered red-crowned parrots (Amazona viridigenalis) depends on urban landscapes. Diversity, 15(7), 878. doi:10.3390/d15070878
Gridded Population of the World (GPW) v4.11 (population density)
Urban Spatial Data (Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods, v1)

Kuld, L., & Mitchell, S. (2023). Market structure and creative cluster formation: the origins of urban clusters in German literature, 1700–1932. European Review of Economic History, 27(3), 380-411. doi:10.1093/ereh/head003
Urban Spatial Data (Historical Urban Population, v1)

Mboga, N., Persello, C., Bergado, J. R., & Stein, A. (2017, 23-28 July 2017). Detection of informal settlements from VHR satellite images using convolutional neural networks. Paper presented at the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
Urban Spatial Data (Dar es Salaam Land Use and Informal Settlement Data Set, v1)
REMOTE SENSING (Quickbird)

Mottelson, J. (2020). A new hypothesis on informal land supply, livelihood, and urban form in Sub-Saharan African cities. Land, 9(11), 435. doi:10.3390/land9110435
Urban Spatial Data (Dar es Salaam Land Use and Informal Settlement Data Set, v1)

Rausch, L., Friesen, J., Altherr, L., Meck, M., & Pelz, P. (2018). A holistic concept to design optimal water supply infrastructures for informal settlements using remote sensing data. Remote Sensing, 10(2), 23pp. doi:10.3390/rs10020216
Urban Spatial Data (Dar es Salaam Land Use and Informal Settlement Data Set, v1)
REMOTE SENSING (Quickbird)

Tuna, C., Merciol, F., & Lefèvre, S. (2019). Monitoring urban growth with spatial filtering of satellite image time series. Paper presented at the JURSE (Joint Urban Remote Sensing Event), Vannes, France. https://hal.archives-ouvertes.fr/hal-02118714
Urban Spatial Data (Dar es Salaam Land Use and Informal Settlement Data Set, v1)
REMOTE SENSING (Landsat)