[Câmara 2005] Câmara, G. (2005). Representação computacional de dados geográficos. CASANOVA, MA et al. Banco de dados geográficos. Curitiba: Mundogeo, pages 11– 52.

[Cardille 2022] Cardille, J. A. (2022). Interpreting image series. https:

//google-earth-engine.com/Interpreting-Image-Series/ Filter-Map-Reduce/.

[DAVIS and Fonseca 2001] DAVIS, C. and Fonseca, F. (2001). Introdução aos sistemas de informação geográficos. Belo Horizonte: Departamento de Cartografia/UFMG.

[Ferreira 2014] Ferreira, J. (2014). Google Apps Script: Web Application Development Essentials. "O’Reilly Media, Inc.".

[Gorelick et al. 2017] Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R. (2017). Google earth engine: Planetary-scale geospatial analysis for everyone. Remote sensing of Environment, 202:18–27.

[Longley 2005] Longley, P. (2005). Geographic information systems and science. John Wiley & Sons.

[MapBiomas 2021] MapBiomas (2021). Mapbiomas project-collection 6.0 of the annual series of land use and land cover maps of brazil.

[Smith et al. 2007] Smith, M. J., Goodchild, M. F., and Longley, P. A. (2007). Geospa- tial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools. Troubador Publishing, 2nd edition.

[Tomlin et al. 1990] Tomlin, C. D. et al. (1990). Geographic information systems and cartographic modeling, volume 249. Prentice Hall Englewood Cliffs, NJ.

[Wirfs-Brock and Eich 2020] Wirfs-Brock, A. and Eich, B. (2020). Javascript: the first 20 years.

Proceedings of the ACM on Programming Languages, 4(HOPL):1–189.