{"id":31596,"date":"2026-05-26T09:00:00","date_gmt":"2026-05-26T09:00:00","guid":{"rendered":"https:\/\/cit.upc.edu\/?post_type=portfolio&p=31596"},"modified":"2026-05-27T16:14:32","modified_gmt":"2026-05-27T16:14:32","slug":"ai4eo-intelligencia-artificial-aplicada-a-lobservacio-de-la-terra","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/ca\/portfolio-item\/ai4eo-intelligencia-artificial-aplicada-a-lobservacio-de-la-terra\/","title":{"rendered":"AI4EO: Intel\u00b7lig\u00e8ncia Artificial aplicada a l\u2019Observaci\u00f3 de la Terra"},"content":{"rendered":"\n

<\/span>

26\/05\/2026<\/p>
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Un equip de recerca de la UPC, integrat pel CommSensLab-UPC i el Remote Sensing Lab (RSLAB) de la Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC), juntament amb l\u2019Institut d\u2019Estudis Espacials de Catalunya (IEEC), ha participat en el projecte AI4EO, amb l\u2019objectiu d\u2019impulsar solucions i posar en pr\u00e0ctica eines d\u2019intel\u00b7lig\u00e8ncia artificial aplicades a dades d\u2019observaci\u00f3 de la Terra en diversos casos d\u2019\u00fas sobre el territori catal\u00e0.<\/h4>
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En els darrers anys, l\u2019\u00fas de dades provinents de l\u2019observaci\u00f3 de la Terra ha crescut de manera significativa, principalment per la necessitat d\u2019abordar reptes vinculats al canvi clim\u00e0tic i pels m\u00faltiples casos d\u2019\u00fas que se\u2019n deriven. Entre d\u2019altres, aquestes dades permeten el monitoratge agr\u00edcola i forestal, el seguiment d\u2019incendis, sequeres, inundacions i desbordaments fluvials, el control de costes, l\u2019an\u00e0lisi de moviments del terreny i terratr\u00e8mols, aix\u00ed com l\u2019estudi de zones afectades per fen\u00f2mens naturals o antr\u00f2pics.<\/p>

Aquest volum creixent de dades, sovint complexes i heterog\u00e8nies, requereix una gran capacitat de tractament i eines capaces d\u2019extreure informaci\u00f3 \u00fatil de manera r\u00e0pida i eficient. \u00c9s en aquest context que les eines d\u2019intel\u00b7lig\u00e8ncia artificial entren en acci\u00f3. Actualment, la IA s\u2019aplica en pr\u00e0cticament tots els sectors, des de la medicina i les finances fins als recursos humans o la telefonia, perqu\u00e8 permet interpretar grans volums de dades de manera m\u00e9s simple i extreure\u2019n patrons i informaci\u00f3 rellevant.<\/p>

En el m\u00f3n de l\u2019observaci\u00f3 de la Terra, l\u2019\u00fas d\u2019aquestes eines \u00e9s especialment pertinent per la gran quantitat de dades disponibles i per la complexitat del seu processament i an\u00e0lisi. El projecte AI4EO (pel seu nom en angl\u00e8s, Artificial Intelligence for Earth Observation), neix com a resposta a aquesta necessitat, amb l\u2019objectiu d\u2019aplicar tecnologies d\u2019intel\u00b7lig\u00e8ncia artificial, incloent-hi Machine Learning i Deep Learning, a l\u2019an\u00e0lisi de dades de teledetecci\u00f3 satel\u00b7lit\u00e0ria.<\/p>

En aquest context, els investigadors van mapar l\u2019ecosistema p\u00fablic i privat catal\u00e0 que desenvolupa activitats vinculades a AI4EO. Aquesta tasca ha perm\u00e8s catalogar quines activitats s\u2019estan duent a terme, quins actors hi participen i com evolucionen, aix\u00ed com valorar les perspectives d\u2019\u00fas d\u2019aquestes tecnologies en l\u2019ecosistema catal\u00e0.<\/p>

El projecte ha avan\u00e7at cap al desenvolupament de projectes i casos d\u2019\u00fas concrets, en qu\u00e8 aquestes tecnologies poden aportar informaci\u00f3 rellevant sobre el territori catal\u00e0. En concret, s\u2019han aplicat en l\u2019\u00e0mbit forestal, amb l\u2019objectiu d\u2019estimar de manera quantitativa l\u2019al\u00e7ada dels boscos i la biomassa en una zona pilot als Pirineus.<\/p>

La novetat del projecte rau en la integraci\u00f3 avan\u00e7ada d\u2019IA amb dades satel\u00b7lit\u00e0ries per generar productes operatius que puguin ser utilitzats per empreses i administracions en la presa de decisions, aix\u00ed com en la creaci\u00f3 de nous models de negoci basats en dades (mercats de carboni). La soluci\u00f3 se centra en el desenvolupament de models capa\u00e7os d\u2019automatitzar i millorar l\u2019an\u00e0lisi de grans volums d\u2019informaci\u00f3, reduint la c\u00e0rrega manual i augmentant la velocitat i la precisi\u00f3 dels resultats.<\/p>

L\u2019equip de recerca de la UPC ha aportat el seu coneixement expert en processament de dades de teledetecci\u00f3 i desenvolupament d\u2019algoritmes avan\u00e7ats. La seva contribuci\u00f3 s\u2019ha centrat a adaptar les tecnologies d\u2019IA a les particularitats de les dades satel\u00b7lit\u00e0ries i garantir resultats fiables i escalables per a aplicacions reals.<\/p>

Pressupost i finan\u00e7ament<\/h4>

El projecte ha tingut una durada d\u2019un any (30\/04\/2024 – 30\/04\/2025), finan\u00e7at per l\u2019Institut d\u2019Estudis Espacials de Catalunya (IEEC) amb un pressupost de 55.000 \u20ac en el marc de l\u2019estrat\u00e8gia NewSpace de Catalunya, promoguda per la Generalitat de Catalunya.<\/p>
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\"AI4E0\"

Tecnologia<\/h5>

Energia<\/a><\/p>

Medi Ambient<\/a><\/p>

Salut<\/a><\/p>

Producci\u00f3 Avan\u00e7ada<\/a><\/p>

Materials<\/a><\/p>

Transformaci\u00f3 digital<\/a><\/p>

Urbanisme i Sostenibilitat<\/a><\/p>

Infraestructures<\/a><\/p>

Log\u00edstica i Mobilitat<\/a><\/p>

Agrotech<\/a><\/p>

Qu\u00edmica<\/a><\/p>
Tecnolog\u00eda
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Sector<\/h5>

Aeron\u00e0utica<\/a><\/p>

Alimentaci\u00f3, Agricultura i Medi Mar\u00ed<\/a><\/p>

Automoci\u00f3<\/a><\/p>

Construcci\u00f3<\/a><\/p>

Distribuci\u00f3 i Gran Consum<\/a><\/p>

Economia Circular<\/a><\/p>

Educaci\u00f3 i Editorial<\/a><\/p>

Electr\u00f2nica<\/a><\/p>

Energia<\/a><\/p>

Fabricants de B\u00e9ns d\\’Equip<\/a><\/p>

Ind\u00fastria Manufacturera<\/a><\/p>

Marketing, Publicitat i Mitjans<\/a><\/p>

Oci, Esport i Benestar<\/a><\/p>

Turisme<\/a><\/p>

Sector Salut<\/a><\/p>

Telecom i Desenvolupadors de Software<\/a><\/p>

Transport i Mobilitat<\/a><\/p>
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Tema<\/h5>

Fusta<\/a><\/p>

Audiovisual<\/a><\/p>

Espai de Dades<\/a><\/p>

\u00d2ptica i Fot\u00f2nica<\/a><\/p>

Aigua<\/a><\/p>

Automoci\u00f3<\/a><\/p>

Economia Circular<\/a><\/p>

Materials de Frontera<\/a><\/p>

Qualitat de l\\’Aire Interior<\/a><\/p>

Economia Blava<\/a><\/p>

Mobile Technologies<\/a><\/p>

Intel\u00b7lig\u00e8ncia Artificial<\/a><\/p>

Smart City<\/a><\/p>

Internet of Things<\/a><\/p>

Ind\u00fastria 4.0<\/a><\/p>

Realitat Virtual i Realitat Augmentada<\/a><\/p>

Open Innovation<\/a><\/p>

Ciberseguretat<\/a><\/p>

Vehicle El\u00e8ctric<\/a><\/p>

Big Data<\/a><\/p>

Biomaterials<\/a><\/p>

Rob\u00f2tica i Visi\u00f3<\/a><\/p>

Serious Games<\/a><\/p>

Smart Grids<\/a><\/p>

Materials compostos<\/a><\/p>
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Vols saber m\u00e9s?<\/h5>
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<\/p>\n","protected":false},"excerpt":{"rendered":"

Un equip de recerca de la UPC, integrat pel CommSensLab-UPC i el Remote Sensing Lab (RSLAB) de la Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC), juntament amb l\u2019Institut d\u2019Estudis Espacials de Catalunya (IEEC), ha participat en el projecte AI4EO, amb l\u2019objectiu d\u2019impulsar solucions i posar en pr\u00e0ctica eines d\u2019intel\u00b7lig\u00e8ncia artificial aplicades a dades d\u2019observaci\u00f3 de la Terra en diversos casos d\u2019\u00fas sobre el territori catal\u00e0. <\/p>\n","protected":false},"author":5,"featured_media":31597,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"portfolio-types":[376,1186,221,188],"class_list":["post-31596","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-types-aeronautic","portfolio-types-fusta","portfolio-types-tecnologias-de-las-tic-ca","portfolio-types-tecnologias-de-la-energia-y-del-medio-ambiente-ca"],"yoast_head":"\nAI4EO: Intel\u00b7lig\u00e8ncia Artificial aplicada a l\u2019Observaci\u00f3 de la Terra - 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