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UID:pretalx-workshop2022-BWBK3X@pretalx.opendatascience.eu
DTSTART;TZID=Europe/Prague:20220615T133000
DTEND;TZID=Europe/Prague:20220615T135000
DESCRIPTION:Combining Sentinel-2 Earth Observation data with integrated adm
 inistration and control system (IACS) field parcel boundary data from EU m
 ember states allows new object-orientated approaches to associate field pa
 rcels with their dynamical properties (e.g. cropping and management practi
 ces\, rainfall and soil moisture regime). This approach can better spatial
 ly target soil health related issues specific to field-parcels in agricult
 ural landscapes in Europe\, while incorporating the temporal dynamics of c
 ropping systems when considering risks to soil with a time-dependent compo
 nent. Soil erosion\, a principle threat facing European soils\, is typical
 ly time-concentrated into periods of low or absent crop canopy cover corre
 sponding with erosive rainstorms. Given that these periods of risk vary wi
 th the climatic regime and cropping system employed\, scalable methods bui
 lt on large geospatial datasets can reveal key information on the soil ero
 sion risk associated with field parcels across the European continent. Her
 e\, we present a user case combining gap-filled crop canopy cover dynamics
  from Sentinel-2 with quantifications of rainfall erosive potential (rainf
 all erosivity) from the REDES database to identify the time periods of ele
 vated erosion risk associated with cultivated crops. We utilise a harmonis
 ed form of the available IACS data repository from 10 IACS data regions/me
 mber states as a spatial backbone to associate risk indices o
DTSTAMP:20260613T053754Z
LOCATION:Conference room - C202
SUMMARY:Utilising Sentinel-2 timeseries data at the field parcel scale to i
 dentify the temporal risk of soil erosion in European agricultural landsca
 pes - Francis Matthews
URL:https://pretalx.opendatascience.eu/workshop2022/talk/BWBK3X/
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