After several weeks of thinking and DEM preprocessing, I finally generated a complete geomorphons map for the part of Inhulets River basin (Ukraine).
It was far from easy — the original Copernicus GLO-30 DEM required careful cleaning, correction, and multi-step preparation before meaningful terrain forms could emerge.

What makes geomorphons truly valuable for me is how well they correspond to geochemical landscape types — eluvial, transeluvial, superaquatic, and subaquatic zones.
This overlap allows interpreting geomorphons as functional terrains with distinct element migration patterns, bridging geomorphology and environmental geochemistry.

All computations were done using R + SAGA GIS + QGIS, with the excellent Rsagacmd package for seamless tool integration.

#Geomorphons #SAGAGIS #Rsagacmd #QGIS #Geochemistry #RStats #Geospatial #Hydrology #RemoteSensing #Copernicus #OpenData #GIScience #InhuletsRiver #EnvironmentalGeochemistry #FOSS

GEDTM30 – A Global 1-Arc-Second (~30m) Digital Terrain Model (DTM)
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https://github.com/openlandmap/GEDTM30 <-- shared GitHub repository
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#GIS #spatial #mapping #opendata #global #DTM #GEDTM30 #GitHub #30m #landsurface #parameters #documentation #hydrology #remotesensing #earthobservation #slope #geomorphons #hillshade #geomorphometry #geomorphology #topography #Equi7 #terrainheight #DigitalTerrainModel #landform

Assessing The Prediction Accuracy Of Geomorphon-Based Automated Landform Classification - An Example From The Ionian Coastal Belt Of Southern Italy
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https://doi.org/10.3390/ijgi10110725 <-- shared paper
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#GIS #spatial #mapping #automatedlandformclassification #geomorphology #polygenicterraces #ioniancoastalbelt #southernItaly #Italy #landform #extraction #ACL #prediction #accuracy #precision #geomorphometry #geomorphons #coastal #plain #drainage #hydrology #marine #fluvial #alluvial #sediment #sedimentation #terrace #geology #engineeringgeology #tool #remotesensing #model #modeling #hydrology #water #beach #Holocene