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SUMMARY:PlotToSat: A Tool for Generating Time-series Signatures from Senti
 nel-1 and Sentinel-2 at field-based plots for Machine Learning application
 s - Dr Milto Miltiadou
DTSTART:20240618T110000Z
DTEND:20240618T100000Z
UID:TALK218962@talks.cam.ac.uk
DESCRIPTION:PlotToSat is a new open-source framework that uses the Python 
 API of Google Earth Engine (GEE) to solve the problem of creating time-ser
 ies of Earth Observation (EO) satellite data at multiple plot locations sp
 read out within a landscape. Forest ecologists gather data from predetermi
 ned sites known as plots. Plots are usually circular\, defined by their ce
 ntre (latitude\, longitude) and a radius. A plot network consists of a few
  to hundreds of thousands of plots\, which are systematically placed to re
 present the forests of a region\, e.g.\, a country. PlotToSat extracts tim
 e-series of multispectral and Synthetic Aperture Radar (SAR) data for a gi
 ven year. By running it multiple times\, the time-series can be extended. 
 The first application of PlotToSat is tree genera classifications from spa
 ce. PlotToSat is useful for any application requiring EO time-series data 
 from multiple spatially disconnected locations.
LOCATION:Large Lecture Theatre\, Department of Geography\, Downing Site
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