1. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2016). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202(1), 18–27.
2. Vos, K., Splinter, K. D., Harley, M. D., Simmons, J. A., & Turner, I. L. (2019). Coast Sat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery. Environmental Modelling and Software, 122, 1–7.
3. Walter, C. (2020). Future trends in geospatial information management: The five to ten year vision. United Nations Committee of Experts on Global Geospatial Information Management, 3, 13–21.
4. Wang, L., Yan, J., Ma, Y. (2020). Cloud computing in remote sensing. Taylor and Francis.
5. Warren, M. S., Brumby, S. P., Skillman S.W., Kelton T., Wohlberg B., Mathis M., Chartrand R., Keisler R., Johnson M.: Seeing the Earth in the Cloud: processing one petabyte of satellite imagery in one day. IEEE Applied Imagery Pattern Recognition Workshop, 1–12 (2015).