Abstract
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.
Highlights
Since the first artificial satellites were launched, there have been several advances in the area of environmental sustainability, especially in developing countries such as Brazil [1]
Space agencies have been tracking individual satellites, placed in orbit, to obtain a synoptic view with a multitude of spectral signatures that are used to provide a rapid understanding of the dynamics of land use/cover (LUC) changes, ranging from a regional to a continental scale [2]
Brazil’s continuous data-based monitoring programs of clear-cut deforestation (PRODES) [9], and the alert warning system for near-real time deforestation detection (DETER) [10,11], conducted by the Brazilian National Institute for Space Research (INPE), have operated in response to evidence of shifts in anthropology resulting from changes in native vegetation and laid the groundwork for a detailed examination
Summary
Since the first artificial satellites were launched, there have been several advances in the area of environmental sustainability, especially in developing countries such as Brazil [1]. The quality and flexibility of the large amount of spatial information can assist the scientific community in a wide range of environmental applications: deforestation modelling [3], monitoring disasters [4], estimation of total water body [5] and making a biodiversity assessment of agriculture [6,7]. Brazil’s continuous data-based monitoring programs of clear-cut deforestation (PRODES) [9], and the alert warning system for near-real time deforestation detection (DETER) [10,11], conducted by the Brazilian National Institute for Space Research (INPE), have operated in response to evidence of shifts in anthropology resulting from changes in native vegetation and laid the groundwork for a detailed examination. DETER addresses the sparser and scattered deforestation activities on a daily basis in constrast with PRODES [12]
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