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UID:pretalx-global-workshop-2026-EN3X39@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Madrid:20261008T144500
DTEND;TZID=Europe/Madrid:20261008T150000
DESCRIPTION:Increasing forest cover is generally perceived positively. Pote
 ntially\, more trees can capture more carbon\, along with bringing other b
 eneficial ecosystem services if they become sustainable ecosystems. Howeve
 r\, this also changes some key properties of the surface of the Earth (e.g
 . albedo\, latent heat flux\, etc) that can affect the local climate throu
 gh biophysical mechanisms\, notably by changing the local land surface tem
 perature (LST). This aspect is still largely ignored by policy-makers\, in
  part because they are difficult to model given they depend much on local 
 context which is spatio-temporally variable. As demonstrated by several st
 udies\, satellite remote sensing has a role to play here. In this presenta
 tion we will illustrate how\, within a dedicated OEMC use case\, we adapte
 d an established methodology to retrieve the local effect of forest cover 
 change on LST and made the processing pipeline openly available and reprod
 ucible. We applied it for the first time on geostationary satellite data w
 ith a 15 minute revisit frequency over Europe and Africa to generate estim
 ations of the change of LST along the entire daily cycle. This was done in
  collaboration with the European Commission Joint Research Centre on their
  BDAP platform opening the possibility to expand results within their EU F
 orest Observatory. In parallel work we also explored how the spatial heter
 ogeneity of tree cover could also have an effect on LST and further into c
 loud formation across Africa.
DTSTAMP:20261023T012421Z
LOCATION:Rooms 12+14
SUMMARY:Assessing how changing local forest cover affects diurnal surface t
 emperature across Europe and Africa - Gregory Duveiller
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/EN3X39/
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