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English Information

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Authors
# Name
1 Ana Pereira(anabpereira2013@gmail.com)
2 Leonardo Fuzikawa(leonardo.daiki@uel.br)
3 Geovani Santos(geovani.pereira@uel.br)
4 Daniel Kaster(dskaster@uel.br)

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Reference
# Reference
1 Aly, A. M., Mahmood, A. R., Hassan, M. S., Aref, W. G., Ouzzani, M., Elmeleegy, H., and Qadah, T. (2015). Aqwa: adaptive query workload aware partitioning of big spatial data. Proceedings of the VLDB Endowment, 8(13):2062–2073.
2 Baumann, P., Misev, D., Merticariu, V., and Huu, B. P. (2021). Array databases: Concepts, standards, implementations. Journal of Big Data, 8:1–61.
3 Brown, P. G. (2010). Overview of scidb: large scale array storage, processing and analy- sis. In Proceedings of the 2010 ACM SIGMOD International Conference on Manage- ment of data, pages 963–968.
4 Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., et al. (2012). Sentinel-2: Esa’s optical high- resolution mission for gmes operational services. Remote sensing of Environment, 120:25–36.
5 Fu, Y., Zhu, Z., Liu, L., Zhan, W., He, T., Shen, H., Zhao, J., Liu, Y., Zhang, H., Liu, Z., et al. (2024). Remote sensing time series analysis: A review of data and applications. Journal of Remote Sensing, 4:0285.
6 Hojati, M., Roberts, S., and Robertson, C. (2024). Dstree: A spatio-temporal indexing data structure for distributed networks. Mathematical and Computational Applicati- ons, 29:42.
7 Hu, F., Yang, C., Jiang, Y., Li, Y., Song, W., Duffy, D. Q., Schnase, J. L., and Lee, T. (2020). A hierarchical indexing strategy for optimizing apache spark with hdfs to efficiently query big geospatial raster data. International Journal of Digital Earth, 13:410–428.
8 Li, Z., Hu, F., Schnase, J. L., Duffy, D. Q., Lee, T., Bowen, M. K., and Yang, C. (2017). A spatiotemporal indexing approach for efficient processing of big array-based climate data with mapreduce. International Journal of Geographical Information Science, 31(1):17–35
9 Miller, L., Pelletier, C., and Webb, G. I. (2024). Deep learning for satellite image time- series analysis: A review. IEEE Geoscience and Remote Sensing Magazine, 12(3):81– 124.
10 Oracle (2026). Oracle spatial and graph. https://www.oracle.com/database/ spatial-database/.
11 PostGIS (2026). Postgis — spatial and geographic objects for postgresql. https:// postgis.net/.
12 Santos, G. P. and Kaster, D. S. (2025). Particionamento dinâmico espaço-temporal para séries de dados matriciais. In Simpósio Brasileiro de Banco de Dados (SBBD), pages 549–562. SBC.
13 Soltani, K., Padmanabhan, A., and Wang, S. (2022). Geobalance: workload-aware parti- tioning of real-time spatiotemporal data. GeoInformatica, 26(1):67–94.