This is the module for students interested in exploring, mining and communicating the wealth of relevant information in state-of-
the-art geospatial data. Different ways to visualize and process geospatial data, in different formats and projections, on
geographic information systems will be explored. It will be discussed how to assess the quality of input Earth observation data,
and how this quality propagates through a processing chain towards a quality description of a final product. Methodology will be
analysed to assess the spatial-temporal contents of data in terms of repetitive patterns and the scales at which information is
present in both the spatial and temporal domain. Finally, it will be discussed how such different information can be extracted
from data, and how the significance of the extracted information can be accessed and communicated to different stakeholders in
effective and attractive ways. After completing this module, students will be able to:
Assess the quality of EO data and derived products
Design and apply hypothesis testing procedures to select the model which best represents physical reality
Apply spectral analysis techniques to extract relevant geophysical information from EO data
Model and estimate the spatial and temporal variability of EO data and relate it to the underlying geophysical processes
Select and apply appropriate geo-informatics tools to extract, process and communicate information from EO data
Present findings in a precise and organized way, both numerically as well as graphically
