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An improved view of global sea ice
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By European Space Agency
Global warming is driving the rapid melting of the Greenland Ice Sheet, contributing to global sea level rise and disrupting weather patterns worldwide. Because of this, precise measurements of its changing shape are of critical importance for adapting to climate change.
Now, scientists have delivered the first measurements of the Greenland Ice Sheet’s changing shape using data from ESA's CryoSat and NASA's ICESat-2 ice missions.
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By European Space Agency
Video: 00:04:04 English Paxi explores ice
Join Paxi on an adventure to the North and South poles, to learn more about ice and its role in keeping Earth cool.
Italian Paxi osserva il ghiaccio
Unisciti a Paxi in un'avventura ai poli Nord e Sud, per saperne di più sul ghiaccio e sul suo ruolo nel mantenere la Terra fresca.
German Paxi erforscht das Eis
Begleiten Sie Paxi auf ein Abenteuer zum Nord- und Südpol, um mehr über Eis und seine Rolle bei der Kühlung der Erde zu erfahren.
French Paxi explore la glace
Rejoignez Paxi dans une aventure aux pôles Nord et Sud, pour en savoir plus sur la glace et son rôle dans le refroidissement de la Terre.
Spanish Paxi explora el hielo
Únete a Paxi en una aventura a los polos Norte y Sur, para aprender más sobre el hielo y su papel en mantener la Tierra fría.
Portuguese Paxi explora o gelo
Junte-se a Paxi numa aventura aos pólos Norte e Sul, para aprender mais sobre o gelo e o seu papel na manutenção da Terra fresca.
Greek Ο Πάξι εξερευνά τον πάγο
Ελάτε μαζί με τον Paxi σε μια περιπέτεια στο Βόρειο και το Νότιο Πόλο, για να μάθετε περισσότερα για τον πάγο και το ρόλο του στη διατήρηση της ψύξης της Γης.
Polish Paxi bada lód
Dołącz do Paxi podczas przygody na biegunie północnym i południowym, aby dowiedzieć się więcej o lodzie i jego roli w chłodzeniu Ziemi.
Swedish Paxi utforskar is
Följ med Paxi på ett äventyr till Nord- och Sydpolen för att lära dig mer om is och dess roll för att hålla jorden sval.
Norwegian Paxi utforsker is
Bli med Paxi på et eventyr til Nord- og Sydpolen for å lære mer om is og dens rolle i å holde jorden kjølig.
Danish Paxi udforsker is
Tag med Paxi på eventyr til Nord- og Sydpolen for at lære mere om is og dens rolle i at holde Jorden kølig.
Romanian Paxi explorează gheață
Alăturați-vă lui Paxi într-o aventură la polii Nord și Sud, pentru a afla mai multe despre gheață și rolul său în menținerea Pământului rece.
Finnish Paxi tutkii jäätä
Lähde Paxin mukaan seikkailulle pohjois- ja etelänavoille ja opi lisää jäästä ja sen roolista maapallon viileänä pitämisessä.
Estonian Paxi avastab jääd
Liitu Paxiga seiklusel põhja- ja lõunapoolusele, et õppida rohkem jääst ja selle rollist Maa jahedana hoidmisel.
Czech Paxi zkoumá led
Vydejte se s Paxi na dobrodružnou výpravu na severní a jižní pól, abyste se dozvěděli více o ledu a jeho úloze při udržování chladu na Zemi.
Dutch Paxi onderzoekt ijs
Ga mee met Paxi op avontuur naar de Noord- en Zuidpool om meer te leren over ijs en de rol die ijs speelt bij het koel houden van de aarde.
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By NASA
The Fresh Eyes on Ice team receives the C. Peter Magrath exemplary project award from the Association of Public and Land-grant Universities. H. Buurman Congratulations to the Fresh Eyes on Ice project, which received a C. Peter Magrath exemplary project award from the Association of Public and Land-grant Universities! The award recognizes programs that demonstrate how colleges and universities have redesigned their learning, discovery, and engagement missions to deepen their partnerships and achieve broader impacts in their communities.
“Thank you to all of you for making this project what it is.” said Fresh Eyes on Ice project lead Research Professor Katie Spellman from the University of Alaska, Fairbanks. “We couldn’t do it without you.”
Fresh Eyes on Ice tracks changes in the timing and thickness of ice throughout Alaska and the circumpolar north. You can get involved by downloading the GLOBE Observer app and taking photos of ice conditions using the GLOBE Land Cover protocol.
Fresh Eyes on Ice is supported by the Navigating the New Arctic Program of the U.S. National Science Foundation and the NASA Citizen Science for Earth Systems Program.
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Last Updated Dec 05, 2024 Related Terms
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By NASA
4 min read
Expanded AI Model with Global Data Enhances Earth Science Applications
On June 22, 2013, the Operational Land Imager (OLI) on Landsat 8 captured this false-color image of the East Peak fire burning in southern Colorado near Trinidad. Burned areas appear dark red, while actively burning areas look orange. Dark green areas are forests; light green areas are grasslands. Data from Landsat 8 were used to train the Prithvi artificial intelligence model, which can help detect burn scars. NASA Earth Observatory NASA, IBM, and Forschungszentrum Jülich have released an expanded version of the open-source Prithvi Geospatial artificial intelligence (AI) foundation model to support a broader range of geographical applications. Now, with the inclusion of global data, the foundation model can support tracking changes in land use, monitoring disasters, and predicting crop yields worldwide.
The Prithvi Geospatial foundation model, first released in August 2023 by NASA and IBM, is pre-trained on NASA’s Harmonized Landsat and Sentinel-2 (HLS) dataset and learns by filling in masked information. The model is available on Hugging Face, a data science platform where machine learning developers openly build, train, deploy, and share models. Because NASA releases data, products, and research in the open, businesses and commercial entities can take these models and transform them into marketable products and services that generate economic value.
“We’re excited about the downstream applications that are made possible with the addition of global HLS data to the Prithvi Geospatial foundation model. We’ve embedded NASA’s scientific expertise directly into these foundation models, enabling them to quickly translate petabytes of data into actionable insights,” said Kevin Murphy, NASA chief science data officer. “It’s like having a powerful assistant that leverages NASA’s knowledge to help make faster, more informed decisions, leading to economic and societal benefits.”
AI foundation models are pre-trained on large datasets with self-supervised learning techniques, providing flexible base models that can be fine-tuned for domain-specific downstream tasks.
Crop classification prediction generated by NASA and IBM’s open-source Prithvi Geospatial artificial intelligence model. Focusing on diverse land use and ecosystems, researchers selected HLS satellite images that represented various landscapes while avoiding lower-quality data caused by clouds or gaps. Urban areas were emphasized to ensure better coverage, and strict quality controls were applied to create a large, well-balanced dataset. The final dataset is significantly larger than previous versions, offering improved global representation and reliability for environmental analysis. These methods created a robust and representative dataset, ideal for reliable model training and analysis.
The Prithvi Geospatial foundation model has already proven valuable in several applications, including post-disaster flood mapping and detecting burn scars caused by fires.
One application, the Multi-Temporal Cloud Gap Imputation, leverages the foundation model to reconstruct the gaps in satellite imagery caused by cloud cover, enabling a clearer view of Earth’s surface over time. This approach supports a variety of applications, including environmental monitoring and agricultural planning.
Another application, Multi-Temporal Crop Segmentation, uses satellite imagery to classify and map different crop types and land cover across the United States. By analyzing time-sequenced data and layering U.S. Department of Agriculture’s Crop Data, Prithvi Geospatial can accurately identify crop patterns, which in turn could improve agricultural monitoring and resource management on a large scale.
The flood mapping dataset can classify flood water and permanent water across diverse biomes and ecosystems, supporting flood management by training models to detect surface water.
Wildfire scar mapping combines satellite imagery with wildfire data to capture detailed views of wildfire scars shortly after fires occurred. This approach provides valuable data for training models to map fire-affected areas, aiding in wildfire management and recovery efforts.
Burn scar mapping generated by NASA and IBM’s open-source Prithvi Geospatial artificial intelligence model. This model has also been tested with additional downstream applications including estimation of gross primary productivity, above ground biomass estimation, landslide detection, and burn intensity estimations.
“The updates to this Prithvi Geospatial model have been driven by valuable feedback from users of the initial version,” said Rahul Ramachandran, AI foundation model for science lead and senior data science strategist at NASA’s Marshall Space Flight Center in Huntsville, Alabama. “This enhanced model has also undergone rigorous testing across a broader range of downstream use cases, ensuring improved versatility and performance, resulting in a version of the model that will empower diverse environmental monitoring applications, delivering significant societal benefits.”
The Prithvi Geospatial Foundation Model was developed as part of an initiative of NASA’s Office of the Chief Science Data Officer to unlock the value of NASA’s vast collection of science data using AI. NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT), based at Marshall, IBM Research, and the Jülich Supercomputing Centre, Forschungszentrum, Jülich, designed the foundation model on the supercomputer Jülich Wizard for European Leadership Science (JUWELS), operated by Jülich Supercomputing Centre. This collaboration was facilitated by IEEE Geoscience and Remote Sensing Society.
For more information about NASA’s strategy of developing foundation models for science, visit https://science.nasa.gov/artificial-intelligence-science.
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Last Updated Dec 04, 2024 Related Terms
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By European Space Agency
Researchers have achieved a breakthrough in bringing 5G technology to space, marking a pivotal moment in telecommunications history. The 5G Infrastructure Study (5G-IS), funded by ESA’s Connectivity and Secure Communications directorate, has mapped out how satellites can deliver reliable 5G connectivity worldwide.
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