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Open AccessArticle

TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping

Image Processing Division, National Institute for Space Research (INPE), São José dos Campos/SP 12227-010, Brazil
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This paper is an extended version of our paper published in Assis, L. F. F. G.; Ferreira, K. R.; Vinhas, L.; Maurano, L.; Almeida, C. A., Nascimento, J. R., Carvalho, A. F. A.; Camargo, C.; Maciel, A. M. TerraBrasilis: A Spatial Data Infrastructure for Disseminating Deforestation Data from Brazil. In Proceedings of the XIX Brazilian Symposium on Remote Sensing, Santos, São Paulo, Brazil, 2019.
ISPRS Int. J. Geo-Inf. 2019, 8(11), 513; https://doi.org/10.3390/ijgi8110513
Received: 26 September 2019 / Revised: 4 November 2019 / Accepted: 6 November 2019 / Published: 12 November 2019
(This article belongs to the Special Issue Free and Open Source Tools for Geospatial Analysis and Mapping)
The physical phenomena derived from an analysis of remotely sensed imagery provide a clearer understanding of the spectral variations of a large number of land use and cover (LUC) classes. The creation of LUC maps have corroborated this view by enabling the scientific community to estimate the parameter heterogeneity of the Earth’s surface. Along with descriptions of features and statistics for aggregating spatio-temporal information, the government programs have disseminated thematic maps to further the implementation of effective public policies and foster sustainable development. In Brazil, PRODES and DETER have shown that they are committed to monitoring the mapping areas of large-scale deforestation systematically and by means of data quality assurance. However, these programs are so complex that they require the designing, implementation and deployment of a spatial data infrastructure based on extensive data analytics features so that users who lack a necessary understanding of standard spatial interfaces can still carry out research on them. With this in mind, the Brazilian National Institute for Space Research (INPE) has designed TerraBrasilis, a spatial data analytics infrastructure that provides interfaces that are not only found within traditional geographic information systems but also in data analytics environments with complex algorithms. To ensure it achieved its best performance, we leveraged a micro-service architecture with virtualized computer resources to enable high availability, lower size, simplicity to produce an increment, reliable to change and fault tolerance in unstable computer network scenarios. In addition, we tuned and optimized our databases both to adjust to the input format of complex algorithms and speed up the loading of the web application so that it was faster than other systems. View Full-Text
Keywords: spatial data infrastructure; data analytics; thematic mappping spatial data infrastructure; data analytics; thematic mappping
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F. G. Assis, L.F.; Ferreira, K.R.; Vinhas, L.; Maurano, L.; Almeida, C.; Carvalho, A.; Rodrigues, J.; Maciel, A.; Camargo, C. TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping. ISPRS Int. J. Geo-Inf. 2019, 8, 513.

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