Divisão de Observação da Terra e Geoinformática

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==== Master thesis topic: selection and filtering in space-time fields ====


Given a data structure for regular raster-based space-time field
data, where attribute is continuous or categorical, a prerequisite for
doing powerfull spatio-temporal analysis is to have access to the most
elementary operations on these fields. The first is selection: functions
and are needed to subset a full ST imagery by (i) selecting a spatial
region, (ii) selecting a time period, (iii) subsampling at a lower spatial
resolution, or (iv) subsampling at a lower time-resolution.  The second
function is filtering; one would like to be able to write filters in
the spatio-temporal domain that allow the usual analytical operations of
smoothing and differencing. Especially differencing in space-time is a
promising new tool.  The resulting space-time gradient, a 3D vector with
a direction in ST and a length, is a promising tool for finding temporal
changes in spatial gradients, or for finding space time interactions
such as region growth.  To make these instruments useful in integrated,
unconditional spatio-temporal data analysis, the research requires the
choice of useful, intuitive semantics as well as efficient implementation.

**Supervisors:** Prof.dr. Edzer Pebesma, dr. Lubia Vinhas, Karine Reis Ferreira

**Mobility measure:** the ifgi MSc student should spend 2-3 months at INPE
to get familiar with the space-time imagery data base structures and currently
existing functions currently available in TerraLIB.