Miguel D. Mahecha | Lightnews

International Space Science Institute (ISSI) @issibern.ch · 19d

🌲🌲🌲
This week, @miguelmahecha.bsky.social and international colleagues examine as part of the ISSI Forum how genetic information can enhance the prediction and management of forest futures under accelerating climate change. 🌲🌲

Group photo of the participants of the ISSI Forum "Forest Genetic Resources and the Future Biomass in Forests: Implications for Climate and Policy, and the Pivotal Role of Earth Observation".

Miguel D. Mahecha @miguelmahecha.bsky.social · Aug 26

And published: esd.copernicus.org/articles/15/...

ScaDS.AI Dresden/Leipzig @scadsai.bsky.social · Mar 20

@scadsai.bsky.social offers 34 open topics for Research Associates / PhD Students (f/m/x) within the Graduate School, together with mentors and host institutions. 👩‍🎓 In the upcoming days, we will introduce you to all of those areas and the corresponding topics.

👉 scads.ai/about-us/job...

An advertisement from ScaDS.AI Dresden Leipzig featuring an opportunity for 34 Research Associate and PhD Student positions (f/m/x). The focus areas include knowledge representation and inference, mathematical foundations of AI and representation learning, scalable machine learning (ML) and LLM inference, time series analysis and reinforcement learning, visualization and causal inference, and ML ethics for protein design and chemical reactions. Applications are due by April 9, 2025.

ScaDS.AI Dresden/Leipzig @scadsai.bsky.social · Jun 10

#DataWeekLeipzig 2025 has started!
In the opening keynote @miguelmahecha.bsky.social spoke about "Environmental research in a data-rich age" and discussed how #AI can help to supplement missing information in the field of environmental data.

Find the stream here:
👉 2025.dataweek.de/live.html

Ana Bastos @anabastos.bsky.social · May 20

How long does it take until we detect forced signals in global and regional land carbon fluxes?

And can we use dynamical adjustment to reduce the noise and shorten the detection time?

Check out LiNa's paper 👇
egusphere.copernicus.org/preprints/20...

Co-advised by @sebastian-sippel.bsky.social

Constraining the time of emergence of anthropogenic signal in the global land carbon sink

Abstract. The global land carbon sink has increased since the preindustrial period, driven by increasing atmospheric CO2 concentration and climate change. However, detecting these anthropogenic signal...

egusphere.copernicus.org

Maximilian Söchting @soechting.bsky.social · Apr 29

Major update to Lexcube.org - our interactive Earth System Data Cube visualization tool & my PhD project!

➡️ What’s new?
🌍 Region borders (or any GeoJSON) overlaid in the visualization!
🌎 Record GIF/MP4 animations!
🌏 Progress & dataset boundary indicators!

...and many more improvements 👇

Big Earth Data @bigearthdata1.bsky.social · Apr 3

📢Interactive Earth system data cube visualization in Jupyter notebooks by Maximilian Söchting (@soechting.bsky.social), Miguel D. Mahecha (@miguelmahecha.bsky.social) et al.
👉https://doi.org/10.1080/20964471.2025.2471646
#opensource #3D #datacube #visualization #Jupyter #geoscience #remotesensing

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 23

You’ll work on spatiotemporal anomaly detection and use explainable AI to link impacts to weather, soil, and human land use—paving the way for better predictions.

One of 34 funded PhD topics at ScaDS.AI Dresden/Leipzig, spanning ML, time series, ethics, and more.

More details below! Check T9.3!

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 23

🌍 PhD student wanted in AI for Climate Extremes 🌿

Heatwaves, droughts, and heavy rain are intensifying—threatening vegetation, forestry, and agriculture. Join us to develop weakly supervised ML to detect and explain climate impacts in satellite data.

ScaDS.AI Dresden/Leipzig @scadsai.bsky.social · Mar 20

@scadsai.bsky.social offers 34 open topics for Research Associates / PhD Students (f/m/x) within the Graduate School, together with mentors and host institutions. 👩‍🎓 In the upcoming days, we will introduce you to all of those areas and the corresponding topics.

👉 scads.ai/about-us/job...

Stefan Holzheu @holzheustefan.bsky.social · Mar 21

Vorschau auf die Druckversion des #S4FAppell an die Politik

Zeichnung noch möglich bis Montag 24.03. 23:59 Uhr

Öffentliche Übergabe des Appells:
Dienstag, 25.03. 09:30 Uhr, Nordende Friedrich-Ebert-Platz

www.bayceer.uni-bayreuth.de/s4f/de/top/o...

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

and code here github.com/msoechting/l...

GitHub - msoechting/lexcube: Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

Lexcube: 3D Data Cube Visualization in Jupyter Notebooks - msoechting/lexcube

github.com

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

Supported primarily by the DeepESDL project @esa.int advised by @ancaanghelea.bsky.social in cooperation with with @brockmannconsult.bsky.social but also supported by @nfdi4earth.bsky.social and @belspo.bsky.social BELSPO via the HERMES projects led by Diego Miralles

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

WHAT? YOU DON'T WANT TO USE IT IN JUPYTER? 😊 No worries! Just visit hashtag#Lexcube www.lexcube.org

This work was led by @soechting.bsky.social with support from Gerik Scheuermann, @dmlmont.bsky.social and myself. I am very proud of my strong team!!!

LexCube - Leipzig Explorer of Earth Data Cubes

LexCube is an interactive visualization for large-scale earth data sets. Created at Leipzig University by Maximilian Söchting.

www.lexcube.org

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

Introducing #Lexcube4Jupyter
An open-source tool for interactive 3D data cube visualization, seamlessly integrated into scientific workflows. It enables:
✅ Efficient, memory-aware handling of large datasets
✅ Direct integration into Python workflows (e.g., Jupyter Notebooks)

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

We believe that interactive (!) visualisation is key to making high-dimensional Earth system data more accessible, interpretable, and actionable. With this you can achieve
✅ Real-time exploration of model outputs & residuals
✅ Quick data quality checks & anomaly detection

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

Excited to share the latest paper emerging from the fantastic PhD thesis of @soechting.bsky.social! Interactive Earth System Data Cube visualization in Jupyter Notebooks! www.tandfonline.com/doi/full/10....

Image and Signal Processing • ISP @isp-uv-es.bsky.social · Feb 25

🚨 New paper out in @naturecomms.bsky.social

We review how #AI is transforming modeling & understanding extreme weather & climate events like floods, heatwaves, and wildfires🌍🔥💨

🔗Read it! isp-uv.short.gy/AIforExtreme...

Miguel D. Mahecha @miguelmahecha.bsky.social · Feb 12

Fascinating work indeed!

Chris Mooney @chriscmooney.bsky.social · Feb 12

4. What does that look like? Here's an example I recently came across in the journal Climatic Change. I have not seen any formal press coverage of this work, though I may certainly have missed it. link.springer.com/article/10.1...

How fast is climate changing? One generation is sufficient for unfamiliar heatwave characteristics to emerge in Europe - Climatic Change

We analyze the observed (1950–2020) and expected (2021–2050) change in temperature extremes and heatwave characteristics over Europe across time, and the emergence of unfamiliar (Signal to Noise ratio...

link.springer.com

Chris Mooney @chriscmooney.bsky.social · Feb 12

4. What does that look like? Here's an example I recently came across in the journal Climatic Change. I have not seen any formal press coverage of this work, though I may certainly have missed it. link.springer.com/article/10.1...

How fast is climate changing? One generation is sufficient for unfamiliar heatwave characteristics to emerge in Europe - Climatic Change

We analyze the observed (1950–2020) and expected (2021–2050) change in temperature extremes and heatwave characteristics over Europe across time, and the emergence of unfamiliar (Signal to Noise ratio...

link.springer.com

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

This is one outcome of the DeepExtremes project funded by @esa.int excellently guided by @Anca Anghelea! Thank you!

The idea of the paper in a nutshell was already presented by @dmlmont.bsky.social (2025) in Earth System Data Cubes: Avenues for advancing Earth system research. EnvDataSci, 3, e27

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

From the @mpi-bgc.bsky.social we have @vitusbenson.bsky.social Fabian Gans @clair3rbn.bsky.social and Melanie Weynants and from @brockmannconsult.bsky.social we have the amazing Tonio Fincke!

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

Authors Uni Leipzig: @chaonanji.bsky.social @gdkrmr.bsky.social @martinuzzi.bsky.social @dmlmont.bsky.social @soechting.bsky.social Karin Mora. Uni Valencia: @isp-uv-es.bsky.social with Gustau Camps-Valls, Miguel Ángel Fernández Torres, J Pellicer-Valero, Oscar J Pellicer-Valero,

This link will take you to a page that’s not on LinkedIn

lnkd.in

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

Please find the paper here: rdcu.be/d7udC Ji, C., Fincke, T., Benson, V. et al. DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Sci Data 12, 149 (2025). lnkd.in/en4ZHt3F

DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts

Scientific Data - DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts

rdcu.be

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

🌿 The dataset focuses on sampling areas impacted by climate extremes, across diverse vegetation types. By prioritizing compound heatwave and drought events, it provides a globally representative and reproducible resource for studying these phenomena!

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

💡 DeepExtremeCubes is a new database designed to address this gap. 📊 Key features of DeepExtremeCubes: 40,000 globally sampled mini data cubes (2.5 x 2.5 km) with Sentinel-2 L2A for vegetation monitoring, ERA5-Land variables, and ancillary data, including land cover and topography maps.

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 25

🌍 Climate extremes, such as compound heatwaves and droughts, are increasing in both frequency and intensity, yet predicting their impacts on terrestrial ecosystems remains a challenge. Machine learning holds promise, but traditional datasets often struggle to represent these rare events effectively.

Miguel D. Mahecha @miguelmahecha.bsky.social · Jan 24

Are you interested in how vegetation influences climate? We tried to summarise a bit what comes to our mind 😀. Great experience working with Diego Miralles, Jordi Vila, and Tim McVicar! 🌳

nyaspubs.onlinelibrary.wiley.com/doi/10.1111/...

NYAS Publications

Vegetation does not merely respond to climate: it actively shapes it. Plants cool and moisten the air, regulate carbon dioxide levels, alter sunlight reflection, and influence winds. These impacts ca...

nyaspubs.onlinelibrary.wiley.com

Elif Oezmen @elifoezmen.bsky.social · Jan 5

Point of no return.
Diesen Tag und diese Nachricht werde ich den Rest meines Lebens nicht vergessen. Denn heute habe ich eingesehen, dass man mir und meinesgleichen in meinem Geburts- und Heimatland niemals eine sichere Heimat bieten wird.
search.app/kscX74bMF3Qj...

Merz gibt deutliche Botschaft: „Aberkennung der deutschen Staatsbürgerschaft“

Merz zeigt sich unzufrieden mit den Einbürgerungsrichtlinien der Ampel. Bei einem Sieg bei der Bundestagswahl hat der CDU-Chef vor, einiges grundlegend zu verändern.

search.app

Light upyour news

Sign in to Lightnews

Sign up to start reading

Connect Bluesky

Connect with Bluesky

Light up
your news