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👋 Meet Anjana Khatwa , the author of the new #geoscience book ‘The Whispers of Rock’, and an award-winning Earth Scientist, science communicator, writer, presenter and advocate for diversity in natural heritage spaces.

💫 She shared with us her journey and inspirations while writing her book ‘The Whispers of Rock’.

🧵 Continue reading here in our #GeoTalk: https://egu.eu/7NKGCM

Image description: Anjana Khatwa with a background of mountains and a cover of her book, "The Whispers of Rock,. Text reads:'GeoTalk: Anjana Khatwa, author of ‘The Whispers of Rock. Read Now.’'

Are you a #teacher looking for training opportunities in #geoscience or seeking support and #financial assistance for events that promote geoscience #education?

📝 Applications for the 2026 Field School for Teachers and Geoscience Education Event are now open!

👉 Apply to one of these schemes by 31 December 2025: https://egu.eu/96EKUA

📸 Ole Zeising on https://imaggeo.egu.eu

Image description: A woman wearing an orange jacket using a shovel on a snowy landscape with a tent and mountain in the background. Test reads: ' Apply for a Field School for Teachers, or Geoscience Education Event in 2026!'

#science #wissenschaft #wissen #knowledge #geoscience #scinexx
#geowissen
Nordsee: Wattenmeer verliert seine Substanz
Sedimentablagerung im deutschen Wattenmeer hat stärker abgenommen als gedacht 🤓
https://www.scinexx.de/news/geowissen/nordsee-wattenmeer-verliert-seine-substanz/

#science #wissenschaft #wissen #knowledge #geowissen #scinexx
#geoscience
Erdmagnetfeld: Schwächezone weitet sich aus
Anomalie im Südatlantik wächst und vertieft sich – aber warum?
https://www.scinexx.de/news/geowissen/erdmagnetfeld-schwaechezone-weitet-sich-aus/

Result of a Principal Component Analysis (PCA) created from combined median composites of Sentinel-1 and Sentinel-2 imagery — somewhere in the Sudanese desert.

This PCA composite brings out contrasts between lithologies, structural domains, drainage patterns, and surface materials, highlighting features that are nearly invisible in standard RGB representations.

And yes — it also happens to look stunning.

#RemoteSensing #EarthObservation #Geology #PCA #Sentinel1 #Sentinel2 #SAR #Radar #OpenData #GIS #QGIS #Geomorphology #Geoscience #SAGAGIS #RStats #Desert #Lithology #GeoDataArt #GeoSpectralArt #Sudan #Copernicus #CopernicusSentinel

False-color PCA composite from Sentinel-1 and Sentinel-2 data showing vivid contrasts in lithology and surface materials in a desert region of Sudan. Bright reds, greens, blues, and purples highlight drainage networks, bedrock structures, and geomorphological boundaries.

Exploring large-scale landscape structures with a simple Principal Component Analysis (PCA) applied to a MODIS composite.

The PCA reveals striking contrasts in surface materials, vegetation patterns, and terrain transitions across western Canada — from the Rocky Mountains into the prairies and the Canadian Shield.
Even with moderate-resolution MODIS data, spectral variability produces a surprisingly rich view of regional geography and geomorphology.

#RemoteSensing #EarthObservation #Geology #PCA #MODIS #OpenData #GIS #QGIS #Geomorphology #Geoscience #RStats #Lithology #GeoDataArt #GeoSpectralArt #BorealForest #Taiga #Canada #Alberta

A large composite map showing western Canada, with the Rocky Mountains on the left and the prairies and the Canadian Shield extending to the right.
In the center, a bright false-color PCA image derived from MODIS satellite data is overlaid: vivid reds, purples, greens, cyans, and yellows highlight differences in surface materials, vegetation, and terrain units.

Result of a Principal Component Analysis (PCA) based on combined median composites of Sentinel-1 and Sentinel-2 satellite imagery — somewhere in the desert of Sudan.

The PCA highlights contrasts between different lithologies, structural domains, and surface materials, revealing subtle geological features that are hard to distinguish in standard RGB composites.

And yes — it also looks simply beautiful.

#RemoteSensing #EarthObservation #Geology #PCA #Sentinel1 #Sentinel2 #Radar #OpenData #GIS #QGIS #Geomorphology #Geoscience #SAR #SAGAGIS #RStats #Desert #Lithology #GeoDataArt #GeoSpectralArt

Result of a Principal Component Analysis (PCA) based on combined median composites of Sentinel-1 and Sentinel-2 imagery

🫐 The Blueberry Map Experiment — modelling meets the mountains

In 2022, while living with my family in the Czech Republic, I built a digital map of wild blueberry hotspots in the Jizera Mountains.

At first, it looked like a fun summer project — our neighbors used the map to find the best berry spots and enjoy the landscape.
But behind it was a serious experiment: I tested species distribution modelling (SDM) methods, later adapted for wide-world rare earth element prediction.

Within this “blueberry project” I:
🔹 automated the full spatial workflow in R and QGIS,
🔹 generated geomorphons and other terrain-based predictors,
🔹 built and validated ML models,
🔹 created probability maps and tested them in the field.

✨ What started as a family hobby became a field-tested workflow for predictive geoscience.

#DataScience #MachineLearning #GIS #SpatialModeling #SDM #CzechRepublic #RemoteSensing #Geoscience #RStats #EnvironmentalData #PredictiveMapping #LandscapeEcology #RareEarthElements #CriticalMinerals

Panoramic view of the Jizera Mountains with spruce forest and granite formations under a bright summer sky.

Close-up photo of ripe wild blueberries in a mountain forest.

Model validation plot (ROC curve) demonstrating high predictive accuracy for the blueberry occurrence model, with AUC near 1.0.

Map (Ukrainian text) — Probability map of ripe blueberry occurrence in the Jizera Mountains, generated using species distribution modelling. Green areas show high-probability zones (>0.8).

#knowledge #wissen #history #Geschichte #wissenschaft #science #Geowissen #geoscience

Geowissen
Ältestes Eis der Erde entdeckt
Sechs Millionen Jahre altes Eis aus der Ostantarktis zeugt von einer wärmeren Ära 🤓

https://www.scinexx.de/news/geowissen/aeltestes-eis-der-erde-entdeckt-2/

Geo X

https://fed.brid.gy/r/https://fedi.directory/geo-x/

#knowledge #wissen #Geowissen #geoscience #wissenschaft #science

Grönland schrumpft und wandert
Die größte Insel der Welt bewegt sich anders als gedacht 🤓

https://www.scinexx.de/news/geowissen/groenland-schrumpft-und-wandert/

🚨 talk announcement! 🚨

How does the geological record form?

We can observe modern depositional environments using advanced remote sensing and direct sampling.
We can observe geological strata through seismics, drillcores, and direct sampling.

What happens in between?

Xianyi Liu in my team is trying to find out, using the oldest known aerial photographs of the #Bahamas, and comparing them with today's facies distribution. It's a journey through #carbonate #sedimentology, #GIS, modelling and #MachineLearning. If you'd like a sneak peek, join his talk coming Tuesday at 17:00 CET at PaleoPERCS.
Please register at https://paleopercs.com/ - you get a Zoom link when you've registered.
#EarthScience #geoscience #RemoteSensing #geology

Vintage grayscale photograph of an island in the Bahamas, showing a strip of land surrounded by underwater sand dunes

I am giving a series of talks on #datascience for #geoscience (in german). You can join online and see me trying to persuade undergrad students to use #qgis, #rstats and the gang.

A Flyer in german advertising a series of hybrid talks on geodatascience.

Some more #work stuff.

Getting an European Research Council (ERC) grant had this terrible outcome that I thought: now we can do in-depth, thoughtful research without cutting corners and ducktape solutions. Understanding #evolution in the #fossil record required a reproducible model representation of that record and we weren't satisfied with any of the existing models. Computer models made by (Earth) scientists are rarely very good, because we are not necessarily trained to make them, but to model events happening over hundreds of thousands of years, we crucially rely on their quality.

So we decided to develop one. Thanks to its main developer Johan Hidding @eScienceCenter and the collaboration with Peter Burgess, Xianyi Liu and @Niklas_Hohmann we have a fast, sustainable, #OpenSource package in #julialang for modeling #carbonate platforms.

The preprint is out for public review: please leave us a comment at https://egusphere.copernicus.org/preprints/2025/egusphere-2025-4561/ or try CarboKitten.jl at https://mindthegap-erc.github.io/CarboKitten.jl/
#geoscience #stratigraphy #sedimentology