Copernicus Land Monitoring System (CLMS) High-Resolution Layers (HRL) Croplands (2017–2023) geoserver.vlcc.geoville.com/geoserver/HR...
Grasslands (2017–2021/3) geoserver.vlcc.geoville.com/geoserver/HR...
Data viewer wekeo.copernicus.eu
Copernicus Land Monitoring System (CLMS) High-Resolution Layers (HRL) Croplands (2017–2023) geoserver.vlcc.geoville.com/geoserver/HR...
Grasslands (2017–2021/3) geoserver.vlcc.geoville.com/geoserver/HR...
Data viewer wekeo.copernicus.eu
#Requires AutoHotkey v2.0
$SC01A::Click "right" ;Å = right-click
^SC01A::Send "å" ;Ctrl + Å = å
^+SC01A::Send "Å" ;Ctrl + Shift + Å = Å
#Requires AutoHotkey v2.0
$SC01A::Click "right" ;Å = right-click
^SC01A::Send "å" ;Ctrl + Å = å
^+SC01A::Send "Å" ;Ctrl + Shift + Å = Å
Presentation by Valerie Pasquarella at GDG AI for Science - Australia, 2025-08-06
www.youtube.com/watch?v=1oiy...
Presentation by Valerie Pasquarella at GDG AI for Science - Australia, 2025-08-06
www.youtube.com/watch?v=1oiy...
github.com/meengel/Sent...
github.com/meengel/Sent...
Our linear prediction padding method gives slightly better CNN super-resolution results than zero or replicate. It better extrapolates activations spatially.
Our linear prediction padding method gives slightly better CNN super-resolution results than zero or replicate. It better extrapolates activations spatially.