Gabriel Parodi (and externals)
Big Geodata Processing, Radar Remote Sensing
There is not a single area with all the data set available. However there are data sets available for different areas that, among them, complete the data set requirements. It means that the students might deal with different sets of data that might require more comprehension time than a comparable data set of a single area. Fieldwork is not planned.
Flooding is becoming more recurrent. In agricultural fields and local scale the presence of water is highly beneficial as long as it stays close to the rooting depth. Recurrent presence of water in the surface alters the production balance of farms located in flood prone areas and wetlands.
The mapping technique of recurrent wet areas is feasible due to the long term availability of RS sources and even products on floods that already exists for long time. As in these areas there is a tight relation between geomorphology, soils, topography and water, the student taking the topic should be willing to explore those areas of expertise, at least understand those conditions in the chosen study area. Modelling of surface floods could be part of the topic.
Detection of free water on flood prone areas and wetlands. Radar and shortwave.
Construction of long term time series of floods. Flood evolution: building and recessions.
Construction of flood recurrence maps and water permanence maps.
Summarizing the findings into a "water hazard risk" maps
To be discussed later