How can we capture the true complexity of Earth's ecosystems?🌿 Our new paper moves beyond simple average trait values to map full statistical distributions (spread, skewness) at 1-km resolution across global ecosystems. Read at: www.nature.com/articles/s41... #Ecology #Biodiversity #RemoteSensing

🔥 How can we ensure AI models are both powerful and trustworthy? 📹 https://www.nature.com/articles/s41467-025-56573-8 🔎 https://youtu.be/VOWNyfhxApc #AI #ClimateChange #ExtremeWeather

ISP · Image and Signal Processing

Artificial intelligence for modeling and understanding extreme weather and climate events

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Why AI needs a new philosophy of science? Read the new paper at The Innovation: lnkd.in/edYmdDuE and with a short layman's story in Spanish here: lnkd.in/ej97iVRP #AI #ethics #trustworthiness #science #causality #reasoning @elliot-eu.bsky.social @erc.europa.eu

❔ How can we represent hierarchies inside data? 🗞️ Read "A Flag Decomposition for Hierarchical Datasets" to find out!  🔗 https://tr.ee/FlagDecomposition 💻 https://github.com/nmank/FD #DataScience #MachineLearning

A Flag Decomposition for Hierarchical Datasets

Read the full article here: https://tr.ee/FlagDecompositionFlag manifolds encode hierarchical nested sequences of subspaces and serve as powerful structures ...

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❔How do we estimate aerosol levels when a single satellite signal can match multiple physical scenarios? 🗞️"Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval"! 🔗https://tr.ee/InvertibleNeuralNetworks #EarthObservation

Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval

Read the full paper here: https://tr.ee/InvertibleNeuralNetworksSatellite remote sensing is the primary source of global aerosol observations, providing esse...

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Want to play with the idea?? greenwave.earth

Very happy to finally share a paper that has been in my mind for a long time 🌍 🔗 www.pnas.org/doi/10.1073/...

Accelerated north–east shift of the global green wave trajectory | PNAS

Viewed from space, a “green wave” seasonally traverses Earth’s surface, from the north in boreal summer to the south in austral summer. This wave r...

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Big news from the IPL, University of Valencia!🚨Two new MSCA projects joining the lab! 📈 Dr. Katerina Giamalaki (STOCKCLIM): Bridging climate extremes and financial risk with integrated AI. 🛰️ Dr. Dimitri Gominski (GEODE): Bringing transparency and explainability to satellite-based object detection.

❔Can flood detection models really work everywhere? Find out in "Understanding flood detection models across Sentinel-1 and Sentinel-2 modalities and benchmark datasets"! 🔗https://tr.ee/UnderstandingFloodDetectionModels #Floods #RemoteSensing

Can flood detection models really work everywhere? #floods #RemoteSensing #machinelearning

"Understanding flood detection models across Sentinel-1 and Sentinel-2 modalities and benchmark datasets"Read the full article here: https://tr.ee/Understand...

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Our colleagues Roberto Fernández Moran, Moritz Link, Andrés Terrer, and Maria Piles recently joined the ESA CIMR L2PAD workshop to refine the algorithms behind the Copernicus Imaging Microwave Radiometer. 🔗Details: ir.uv.es/j0oIUJr #CIMR #ESA #Climate #RemoteSensing #Science

📢 Call for Papers: PGM 2026 Join us in Valencia this September for an incredible program: • ✨ Two world-class keynote speakers. • 🎓 Pre-conference workshop for young researchers. • 🤝 Great networking with the Probabilistic Graphical Models community. 🔗 More details: uv.es/pgm2026/cfp.html

📢 Call for papers: AI4Earth Join us at ICANN 2026 (Padua, Italy) for our special session on ML & Signal Processing for Earth Systems 🌍 📄 Accepted papers published in Springer LNCS. 🗓️ Deadline: 16 March 2026 📌Details & topics: links.uv.es/ipluv/icann2... #ICANN2026 #AI4Earth #ML

❔What if water turbidity could be monitored globally every few days? 🗞️Read more in "Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques"! 🔗 https://tr.ee/Near-Real-TimeTurbidityMonitoring #EarthObservation #MachineLearning

Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques

HighlightsWhat are the main findings?We have developed a machine-learning algorithm able to quantify high-turbid environments.We use open-source and free databases to train the model and open-source and free tools to develop it, which makes it easily replicable and transferable.What are the implications of the main findings?The social impact of our work implies improved monitoring of areas with high turbidity, which can lead to a better understanding and use of forecasting.Ocean color and water quality communities can take advantage of the lessons learned for developing new products or services.

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🧑‍🏫👩‍🏫 Do you want to dive deeper into AI, Earth observation, statistics or color vision? 🔍 Learn about dimensionality reduction, radiative transfer models, explainable AI, hyperspectral imaging, spatial information, and more. 🔗 https://isp.uv.es/courses

Do you want to dive deeper into #AI, #Earthobservation, statistics or color vision?

Learn about dimensionality reduction, radiative transfer models, explainable AI, hyperspectral imaging, spatial information, and more.isp.uv.es/courses

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❔ How do extreme weather events disrupt the stability of forest carbon fluxes? 🗞️ Learn about it in "Sub-Seasonal Forest Carbon Dynamics Lose Persistence Under Extremes"! 🔗 http://tr.ee/Sub-SeasonalForestCarbonDynamics #ExtremeWeather #ClimateChange

Sub-Seasonal Forest Carbon Dynamics Lose Persistence Under Extremes

Read the full paper here: http://tr.ee/Sub-SeasonalForestCarbonDynamicsExtreme weather events pose a growing threat to the stability of terrestrial ecosystem...

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❔ Can we make machine learning models more resilient to distribution shifts? 🗞️ Find out in "Out-of-distribution robustness for multivariate analysis via causal regularisation"! 🔗 http://tr.ee/Out-of-DistributionRobustness #ML #CausalInference

Can we make machine learning models more resilient to distribution shifts? #machinelearning

"Out-of-distribution robustness for multivariate analysis via causal regularisation"Read the full article here: http://tr.ee/Out-of-DistributionRobustness

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You can still take part! ⌛ Just 5 minutes of your time is all it takes! ⬇️ 🎨 Database based on board games for testing vision models: huesandcues-d76ee.web.app

Summer temperatures have strongly been influenced by circulation changes in the northern mid-latitudes. In our new study we evaluate and compare 4 statistical and ML methods that decompose trends into a "thermodynamical" and a "circulation induced" part. wcd.copernicus.org/articles/7/8...

Considerable yet contrasting regional imprint of circulation change on summer temperature trends across the Northern hemisphere mid-latitudes

Abstract. Rising summer temperatures and more frequent heat extremes are well-documented outcomes of anthropogenic climate change. However, the extent to which atmospheric circulation changes contribu...

wcd.copernicus.org

❔ How can AI help us fill the gaps in satellite imagery? 🗞️ More about it in "Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances"! 🔗 https://tr.ee/GapFillingSentinel2 #EarthObservation #RemoteSensing #Sentinel2

Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances

Read the full article here: https://tr.ee/GapFillingSentinel2Earth observation from satellite sensors offers the possibility to monitor natural ecosystems by...

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Submit your abstract to our #EGU26 session: Machine Learning for Climate Science Details: www.egu26.eu/session/57569 With @blankabalogh.bsky.social, Tom Beucler, Gustau Camps-Valls and @dwatsonparris.bsky.social #ML #climateAI #ML4climate #ESM @isp-uv-es.bsky.social @unibremen.bsky.social

✨ A dynamic second half of the year has come to an end! 👏 Our team has been busy attending conferences, workshops and presentations. We have also welcomed new researchers and celebrated our colleagues' PhD thesis defenses. ⏩ Thanks to everyone who engaged with us!

ISP - 2025 Recap (II)

Here's a short recap of what has happened at the ISP during the second half of this year!#research #machinelearning #sentinel2 #earthobservation #geoscience ...

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🤝 Take part and help us! 🎨 Our team is developing a database based on board games for testing vision models. It only takes five minutes to complete it and works best on a PC. 🔗 Instructions and link: https://huesandcues-d76ee.web.app

👏 Congratulations to Gustau Camps-Valls on receiving the Blaise Pascal Medal in Earth and Environmental Sciences at the #EurASc 2025 Symposium! 🏅 This award recognises his pioneering contributions to integrating AI into Earth and climate sciences. 🔗 https://www.eurasc.eu/2025-award-recipients/

⏪ Last week, the ISP attended the six-day @euripsconf.bsky.social conference in Copenhagen! 📷 Jordi Cerdà ("Causal Effects of Price Spikes on Food Insecurity") and Gustau Camps ("Causality in Earth Science") during their presentations.  #EurIPS #ELLIS

🗞️ 🆕 New paper published which explores the environmental and scientific context behind turbidity monitoring: "Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques". #RemoteSensing #EarthObservation

Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques

HighlightsWhat are the main findings?We have developed a machine-learning algorithm able to quantify high-turbid environments.We use open-source and free databases to train the model and open-source and free tools to develop it, which makes it easily replicable and transferable.What are the implications of the main findings?The social impact of our work implies improved monitoring of areas with high turbidity, which can lead to a better understanding and use of forecasting.Ocean color and water quality communities can take advantage of the lessons learned for developing new products or services.

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🥳🎓 Many congrats to Pablo Hernández Cámara, one of our PhD students, who successfully defended his thesis today: "Perceptual Alignment in Artificial Vision: Bio-Inspired Design and Psychophysical Evaluation"! 🧵

✍️ Register for the Joint Winter School “AI for Earth System, Hazards & Climate Extremes” here tr.ee/RegistrationWinterSchool2026 📅 March 16 – 20 2026 📍 Venue, NTUA, Athens, Greece ℹ️ More info at tr.ee/JointWinterSchool2026 @ai4pex.bsky.social @bgc-jena.mpg.de @ellisunitjena.bsky.social @ecmwf.int

👋 Pleased to welcome our new PhD students and postdoc researchers: Carmen Oliver (@elliot-eu.bsky.social), Paula Costa (MeDiTwin Project), Kexuan Zhang, Paolo Frazzetto (Thinking Earth project), and Feini Huang. 👏 We're happy you are joining the ISP team!

✨ Ever wondered what life looks like inside the ISP lab? Here’s a quick peek at what we do! 🛰️ Our work spans across Earth observation, visual cognition, and societal dynamics. Take a glimpse into our daily work!

What do we do at the ISP?

Here you can take a look at what we do at the ISP.

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YA tenéis disponible un NUEVO PROGRAMA: “Inteligencia Artificial: Aplicaciones en Ciencia y Humanidades” Con Gustau Camps-Valls, físico y catedrático de Ingeniería Electrónica en la @uv.es @isp-uv-es.bsky.social Desde el IFIC go.ivoox.com/rf/161143333

Inteligencia Artificial: Aplicaciones en Ciencia y Humanidades. Oscilador Armónico 90 - Oscilador Armónico - Podcast en iVoox

Escucha este episodio de Oscilador Armónico gratis en iVoox. En el programa de esta semana hablamos con Gustau Camps-Valls, Físico y catedrático en el Departamento de Ingeniería Electrónica de la Univ...

go.ivoox.com