Remote sensing provides us with a continuous and constant source of information about the Earth, and geographic information systems (GIS) are a methodology for handling all of this geographic data. The marriage of the two disciplines has allowed us to carry out large scale analyses of the Earth`s surface and, at the same time, provide increasingly detailed knowledge on many planetary variables and improve our understanding of its functioning. These analyses are essential for decision-making on the sustainable management of natural resources, designing networks of protected areas, and addressing the threats of global change.
Broadly speaking, geographical information would not be so useful without validation and knowledge about measurement accuracies, documentation of its quality, and a capacity to deal with any errors that arise. It is in this particular area, within the research line of GIS and remote sensing methods and applications, that CREAF has the highest degree of expertise. This work is carried out by the Research Group on Methods and Applications in Remote Sensing and Geographic Information Systems (GRUMETS).
We study the spatial distribution of uncertainty in categorical maps. We also test approaches for the visualization of uncertainty as a support tool for decision-making. Finally, we incorporate quality parameters in metadata documentation.