Space Apps Challenge 2017

The observation:

Buenos Aires city is full of beautiful trees. Many of them delight us in spring with their blossoms (see jacarandá), others can give edible fruit (LaCiudadNosRegalaSabores), but many of them produce pollen and volatile particles that cause allergy (see platanus)

The questions:

Can we predict Buenos Aires city trees' pollen production and dispersion?

Can use this data to predict other tree related phenomena such as fruit production and ripening?

Can we expand our idea to other cities? (Including cities without tree data availability?

The data:

• Buenos Aires city official tree database: https://data.buenosaires.gob.ar/dataset/arbolado-p...
• Landsat 8 Operational Land Imager (OLI) images https://landsatlook.usgs.gov/
• Climate data-set?

The idea:

1. Use the tree dataset information to find particle producing trees and locate them.
2. Fech historical Landsat 8 band 4 and 5 imagery for these locations.
3. Calculate the NDVI (https://en.wikipedia.org/wiki/Normalized_Differenc...) for each location and time point.
4. Try to correlate NDVI to critical moments of the tree life cycle in order to predict future allergen producing events.
5. Use these allergen sources and climate data as an input to a dispersion model.