Notes on a first project
Land use change from remote sensing data
Outline: Get Remote Sensing Data (mostely Satellite Images) automatically from NASA/ESA etc. databases, classify different land use types (forest, city...) using different methods and then present/analyse the data as time series
Possible outcome: A nice web tool where you can input a GPS position or an area and then get a nice figure with the changes in land use as well as the data so that others can do more detailed analyses
- Another possibility: Create a large dataset with a global map of land use change and then compare this data to other datasets ("ground data", ecosystem quality metrices) that we will have gahtered until then
- Might be interesting as part of the relevant background
- (though in German)
- An example how spatial data can be visualised and linked with eco-societal-political arguments:
Correctiv won UmweltMedienPreis 2018 with this research: https://www.duh.de/ump_preistraeger/
How would this project look like in smaller steps? (PLEASE fill in details and complete this!)
1. Write something that automatically fetches the correct images from NASA/ESA sources.
- "Correct" in the sense that the user can define the region and a range in time
- This might need to be optimized to be fast
- Algorithms/tools that do this:
(Site generated by E2H, an "Etherpad hypermedia" project by @dcht00).
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