GPIT

This research line focuses on the processing of multispectral data from very high resolution sensors to expand the research capacity related to the management of the marine environment (both coastal and oceanic), the natural resources, etc.

At this time, we are currently researching in the development of robust techniques for the correction, segmentation, classification and fusion of multiresolution and multispectral data, as well as in the development of efficient tools for land, marine and atmospheric applications.

This line focuses on generating, through image processing techniques, geophysical value-added products after processing the original bands. Depending on the spectral and spatial characteristics of each Earth observation space sensor, the appropriate products can be generated.

In particular, using data from low/medium resolution can be obtained, for example sea surface temperature, chlorophyll concentration, suspended sediments, etc., while using images from very high resolution sensor we can produce products for terrestrial and environmental applications, such as coastal monitoring, analysis of protected natural areas, vegetation cover studies, water quality, land use, urban growth, etc.

In addition to the generation of accurate and validated products, if long data series are available, statistical studies can be conducted to analyze the temporal and spatial variations of each product of interest and to study its relationship with the climate change.