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DTSTART:20001029T030000
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UID:pretalx-global-workshop-2026-QGFTAX@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261008T180000
DTEND;TZID=Europe/Amsterdam:20261008T184500
DESCRIPTION:Sampling is not actual resolution: the 1 km illusion in satelli
 te hydrology refers to the discrepancy between a dataset's digital samplin
 g grid and its true physical resolution. The "rush" to create high-resolut
 ion data has outpaced the ability to validate it on the ground due to miss
 ing in situ monitoring networks required to independently validate 1 km al
 gorithms on a global scale. While many modern satellite hydrological produ
 cts are labeled as "1 km" resolution\, this often reflects how the data is
  stored on a grid rather than what the sensor actually "sees". These produ
 cts frequently remain "physically blind" to hyper-local anomalies. The fun
 damental challenge resides in the intrinsic trade-off between spatial reso
 lution and temporal frequency.\n\nWith regard to satellite soil moisture p
 roducts\, active radar sensors (e.g. Sentinel-1) provide true 1 km spatial
  acuity but suffer from temporal gaps\, while passive radiometers (e.g. SM
 AP) offer excellent daily tracking but produce oversampled illusions at th
 e 1 km scale. For practitioners\, the selection of a dataset must be dicta
 ted by the physical scale of the hydrological event—ranging from farm-sc
 ale irrigation to continental-scale drought—rather than the digital labe
 l on the file.\n\nIn the workshop\, a series of real-world stress tests of
  the "1 km illusion in satellite hydrology" will be presented. These stres
 s tests will demonstrate the hydrological applications of the 1 km illusio
 n\, including the mapping of localised summer storms\, the estimation of i
 rrigation at the field scale\, and the impact of wildfires on water infilt
 ration.
DTSTAMP:20260624T071512Z
LOCATION:Aula Magna
SUMMARY:The 1-km illusion in remote sensing for hydrology - Luca Brocca
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/QGFTAX/
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