ℹ️ This mission spans a wide range of variables including sea ice, ocean, winds, snow, soil moisture, lakes, and beyond.
🔗 More about the CIMR-L2PAD project ➡️ github.com/CIMR-L2PADCIMR mission and the CIMR mission ➡️ www.esa.int/Applications...
@isp-uv-es.bsky.social
#Artificial #Intelligence for #Earth, #Brain, #Social and #Climate sciences • Universitat de València @uv.es More papers from our team ➡️ http://linktr.ee/ISPUV
ℹ️ This mission spans a wide range of variables including sea ice, ocean, winds, snow, soil moisture, lakes, and beyond.
🔗 More about the CIMR-L2PAD project ➡️ github.com/CIMR-L2PADCIMR mission and the CIMR mission ➡️ www.esa.int/Applications...
⏮️ Last week some of our colleagues attended the CIMR L2PAD workshop organized by the @icmcsic.bsky.social - CSIC.
👥 The activity brought together the community around open Level-2 algorithms and the Ground Processing Prototype for @esa.int's Copernicus CIMR mission.
👏 Big congrats to Gustau Camps-Valls on being named one of the AGU's 2025 Fellows by the @agu.org!
ℹ️ This program recognizes AGU members who have made exceptional contributions to Earth and space science through breakthroughs, discoveries, or innovations in their field.
#AGU25
🛰️🧑🏫 Last week, our colleagues Luis Gómez-Chova and Cesar Aybar attended the 4th IADF School and offered a workshop diving into trustworthy super-resolution for multispectral remote sensing images.
👐 Thanks to the IEEE Geoscience and Remote Sensing Society for the opportunity!
#EarthObservation
👥 This week, we welcomed Tobias Braun, from the Institute for Earth System Science & Remote Sensing (Leipzig University).
🌏 During his talk today, he discussed the potential of complexity science to bridge the gap between synoptic processes and planetary-scale dynamics.
🙌 Thanks for visiting us!
🤝 A research in collaboration with @camunigeography.bsky.social @bgc-jena.mpg.de @creaf.cat @uni-jena.de
15.09.2025 13:03 — 👍 1 🔁 0 💬 0 📌 0✍ The findings offer essential insights for enhancing drought prediction and ecosystem management—calling for integrated models that account for both soil moisture and atmospheric demand across diverse climates.
15.09.2025 13:03 — 👍 0 🔁 0 💬 1 📌 0🌍 By comparing field observations with datasets like GLEAM, SEVIRI and ERA5-Land, the study validates key mechanisms controlling ET—pointing to the need for models that respond dynamically to both land and atmospheric drivers.
15.09.2025 13:03 — 👍 0 🔁 0 💬 1 📌 0📊 Declines in ET during dry spells can be up to 50%, mirroring substantial reductions in soil moisture. These dramatic shifts underscore how sensitive water exchange is to drought stress.
15.09.2025 13:03 — 👍 0 🔁 0 💬 1 📌 0☔ In contrast, during wet or non-limited periods, ET is more controlled by atmospheric demand (i.e. VPD) than soil moisture, highlighting a shift in dominant drivers across conditions.
15.09.2025 13:03 — 👍 0 🔁 0 💬 1 📌 0🌱 Using remote sensing, models and in-situ flux tower data, the authors show that during drought years ET dramatically decreases due to dropping soil moisture (SM) and rising vapor pressure deficit (VPD).
15.09.2025 13:03 — 👍 0 🔁 0 💬 1 📌 0🆕 New paper out dissecting evapotranspiration (ET) dynamics across Central Europe under varying moisture conditions to better understand how drought impacts plant–atmosphere water fluxes.
🔗 Read it here: https://tr.ee/AssessingEvapotranspirationDynamics
#ClimateScience #Drought
🤝 A research in collab with the Indian Institute of Technology Bombay, @inrae-france.bsky.social, Southwest Jiaotong University, Mitti Labs and Chinese
Academy of Sciences.
➡️ By decoupling roughness from vegetation effects, the new framework provides a stronger geophysical basis for SMOS products and offers a transferable approach for future missions such as SMAP and the upcoming Copernicus CIMR.
10.09.2025 15:39 — 👍 0 🔁 0 💬 1 📌 0🌱 This calibration improves the accuracy of soil moisture estimates when evaluated against ground networks and model simulations (ECMWF), while also enhancing the spatial and temporal consistency of vegetation optical depth (L-VOD) with reference biomass and vegetation indices.
10.09.2025 15:39 — 👍 0 🔁 0 💬 1 📌 0📊 The study replaces empirical approximations with a machine learning model trained on soil and terrain properties, producing a physically based global map of roughness that better captures surface heterogeneity.
10.09.2025 15:39 — 👍 1 🔁 0 💬 1 📌 0🆕 🗞️ New paper presenting a new global calibration of soil surface roughness for the SMOS-IC algorithm, which retrieves soil moisture and vegetation optical depth from passive L-band microwave satellite observations.
🔗 Read it here: tr.ee/NovelCalibrationoGlobalSoilRoughness
#RemoteSensing
🔹Nuria Alabau-Bosque sharing her work on "Hues and Cues: Human vs. CLIP"
🔗 tr.ee/HuesandCuesHumanvsCLIP
#CCN2025
🔹Paula Daudén-Oliver with her poster "Response to Affine Transforms of Image Distance Metrics and Humans"
🔗 tr.ee/ResponsetoAffineTransforms
#CCN2025
🔹 "Contrast Sensitivity Function of Multimodal Vision-Language Models" (Alexandra Gomez-Villa)
🔗 tr.ee/ContrastSensitivityFunction
#CCN2025
🔹 Pablo Hernández-Cámara sharing his poster on "Evolution of Low-Level and Texture Human-CLIP Alignment" and "From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images"
🔗 tr.ee/EvolutionofLow-LevelandTextureHuman
🔗 tr.ee/FromImagestoPerception
#CCN2025
🔹"Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment" (Jose Manuel Jaén-Lorites)
🔗 tr.ee/DoVisionTransformersSeeLikeHumans
#CCN2025
🧠 Some of our colleagues presented their work at #CCN2025 this month!
👥 This event brings together researchers in cognitive science, neuroscience, and AI to explore the computations behind complex behaviour.
🥳 Proud to see our team contributing to these conversations!
🧵
Postdoc in AI + Earth Science
Join ELLIOT (€25M EU project) in València to build next-gen foundation models for climate + Earth data 🌍🤖
🔗 Apply: docs.google.com/forms/d/e/1F...
🗓 Deadline: Sept 15
#AI #Postdoc #ML #HorizonEurope #OpenScience #ELLIS @esa @esascience
🤔🏢 Have you ever wondered where the ISP team turns science into action?
👀 Take a peek inside our workspace, where Earth observation meets innovation!
🤝 A research by Enrique Portalés-Julià, gonzmg88.bsky.social, and Luis Gómez-Chova.
🔗 Full paper: tr.ee/Understandin...
#RemoteSensing #MachineLearning #DisasterManagement
📊 Our findings are particularly valuable for operational flood monitoring in data-scarce regions or areas with high environmental variability, where developing robust methods is most challenging.
07.08.2025 08:30 — 👍 0 🔁 0 💬 1 📌 0🗺️ This unified framework leverages the full diversity of available satellite imagery for more reliable #floodmapping.
07.08.2025 08:30 — 👍 0 🔁 0 💬 1 📌 0🛰️ We developed a dual-stream multimodal architecture that seamlessly integrates both SAR (Sentinel-1) and optical (Sentinel-2) data, enabling comprehensive evaluation across single and multi-modal scenarios.
07.08.2025 08:30 — 👍 0 🔁 0 💬 1 📌 0🔍 Even high-performing flood detection models trained on single datasets often fail when applied to new regions or different sensor conditions. However, we demonstrate that multi-dataset training strategies significantly enhance model robustness and generalization capabilities.
07.08.2025 08:30 — 👍 0 🔁 0 💬 1 📌 0