Chen, S., Lund, K., Murphy-Dunning, C., Seto, KC. (2024). More extremely hot days, more heat exposure and fewer cooling options for people of color in Connecticut, U.S. npj Urban Sustainability, 4, 47. 

Gollnow, F., Cortner, O., Chen, S., Olofsson, P., Garrett, RD. (2024). Georgia’s potentials for sustainable intensification, increasing food security and rural incomes. Environmental Research: Food Systems.

Chen, S., Bruhn, S., & Seto, K. C. (2024). Trends in socioeconomic disparities in urban heat exposure and adaptation options in mid-sized US cities. Remote Sensing Applications: Society and Environment, 101313.  

Cortner, O., Chen, S., Olofsson, P., Gollnow, F., Torchinava, P., & Garrett, R. D. (2024). Exploring natural and social drivers of forest degradation in post-Soviet Georgia. Global Environmental Change, 84, 102775.

Chen, S., Woodcock, C., Dong, L., Tarrio, K., Mohammadi, D., & Olofsson, P. (2023). Review of drivers of forest degradation and deforestation in Southeast Asia. Remote Sensing Applications: Society and Environment, 101129.

Stanimirova, R., Tarrio, K., Turleg, K., McAvoy, K., Stonebrook, S., Hu, K., Arévalo, P., Bullock, E., Zhang, Y., Woodcock, C., Olofsson, P., Zhu, Z., Barber, C., Souza, C., Chen, S., … Friedl, M. (2023). A Global Land Cover Training Dataset from 1984 to 2020. Scientific Data, 10(1), 879.

Chen, S., Woodcock, C.E., Saphangthong, T., Olofsson, P. (2023). Shifting cultivation in Laos has been intensifying and the associated carbon emissions increased recently. Environmental Research Letters, 18, 114012. (Highlighted by Mongabay News)

Chen, S., Olofsson, P., Saphangthong, T., Woodcock, C.E. (2023). Monitoring shifting cultivation in Laos with Landsat time series. Remote Sensing of Environment, 288, 113507. (Highlighted by NASA Earth Observatory)

Zhang, Y., Woodcock, C.E., Chen, S., Wang, J.A., Sulla-Menashe, D., Zuo, Z., Olofsson, P., Wang, Y. and Friedl, M.A. (2022). Mapping causal agents of disturbance in boreal and arctic ecosystems of North America using time series of Landsat data. Remote Sensing of Environment, 272, 112935.

Chen, S., Woodcock, C.E., Bullock, E.L., Arévalo, P., Torchinava, P., Peng, S., & Olofsson, P. (2021). Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis. Remote Sensing of Environment, 265, 112648. (Highlighted by Ladies of Landsat – Manuscript Monday)

Chen, S., McDermid, G.J., Castilla, G., & Linke, J. (2017). Measuring Vegetation Height in Linear Disturbances in the Boreal Forest with UAV Photogrammetry. Remote Sensing, 9(12), 1257.