Geostatistics and Remote Sensing

LiDAR technology supported by Photogrammetry allows detailed information to be obtained from both bare soil (digital elevation models) and land cover (digital surface model). Remote sensing images, both satellite and airborne, provide data at wavelengths that the human eye cannot perceive, which allows, through their processing and analysis, to obtain valuable information, for example, on the state of vegetation.

The different methods of Geostatistics help to understand and model the spatial relationships of the information obtained by including the location of the observations in the analysis.

Our lines of research in this area include:

• Photogrammetry and LiDAR as spatial data acquisition tools with airborne and ground-based sensors.
• Remote sensing. Management of satellite images as a source of spatial data.
• Precision agriculture based on remote sensors to optimize crop management.
• Geostatistics for the analysis of spatial variables and indicators related to the Sustainable Development Goals.

The results and developments of the research carried out are disseminated through congresses and scientific journals.