Resumen

CASTILLO MOINE, M. A  y  BALZARINI, M. G. Spatio-temporal data management of satellite imagery. Agriscientia [online]. 2019, vol.36, n.2, pp.67-80. ISSN 1668-298X.  http://dx.doi.org/10.31047/1668.298x.v36.n2.23410.

The management of long time series data of Normalized Difference Vegetation Index (NDVI) over large territories demands efficient use of computational resources. This paper discusses and illustrates strategies for the construction and statistical processing of massive spatio-temporal databases from satellite images. The implementation of a data management protocol in the R software is detailed, with implementation of parallel computations. The results show that the concept divide-apply-combine was adequate to filter and classify long time series of NDVI territorially distributed at a regional scale.

Palabras clave : GIS; MODIS; Satellite image time series; Divide-apply-combine; Data management protocol; Parallel processing.

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