As #EvoLand concludes, we thank everyone who engaged with us across this journey!

EvoLand leaves behind open assets for the #EarthฮŸbservation community:
๐Ÿ›ฐ๏ธ Results Portal โ€“ interactive access to 12 prototypes: https://browser.dataspace.copernicus.eu/?zoom=5&lat=50.16282&lng=20.78613&themeId=EVOLAND-THEME&demSource3D=%22MAPZEN%22&cloudCoverage=30&dateMode=SINGLE&useEvoland=true
๐ŸŽฅ Final Webinar โ€“ project insights: https://www.evo-land.eu/discover-evolands-results-webinar-on-4-december-2025/
๐Ÿ’ป EvoLand GitHub Repository
Open-source software developed by the project: https://github.com/Evoland-Land-Monitoring-Evolution
๐Ÿ“š Publications & digital materials: https://www.evo-land.eu/newsroom/

@EU_HaDEA @EU_ENV @DLR @cnes

๐Ÿ“š New open access publications from #EvoLand!

Our newsroom now features 4 newly added, peer-reviewed papers advancing research in #EarthฮŸbservation and land monitoring.

๐Ÿ†• Topics include:
โ€ข Hyperspectral foundation models at scale
โ€ข Multispectral-to-hyperspectral learning
โ€ข Multi-resolution satellite time-series fusion
โ€ข Cross-sensor super-resolution and distortions

๐Ÿ”— Explore all publications: evo-land.eu/newsroom

#OpenAccess #RemoteSensing #Copernicus

@EU_HaDEA @EU_ENV @DLR @cnes

๐ŸŒฟ #EvoLand C3 candidate prototype provides consistent estimates of above-ground woody #biomass (AGB) and #forest canopy height (FCH) to complement the CLMS portfolio. It exploits new EO missions (e.g., GEDI) and applies parametric and non-parametric models for pixel-level AGB estimation, adaptable to stakeholder needs.

๐ŸŒ To use the Results Portal and explore all that C3 has to offer head to our website https://www.evo-land.eu/results-portal/

@EU_HaDEA @EU_ENV @DLR @cnes

๐Ÿ—‚๏ธ EvoLand C11 candidate prototype develops an on-demand land cover mapping pipeline via openEO, generating customised products based on user-defined parameters. This was demonstrated through a cloud-based inference pipeline of a 10m resolution forest management layer.

๐ŸŒ Check out our website to see where the Results Portal can be accessed and dive into C11 in more detail https://www.evo-land.eu/results-portal/

#EvoLand #Copernicus #EarthObservation #Innovation

@EU_HaDEA @EU_ENV @DLR @cnes

๐ŸŒ #EvoLand C10 candidate prototype develops continuous 10โ€ฏm land surface categories for trees, shrubs, herbaceous vegetation, bare, water, snow/ice, built-up, shadows and clouds complementing CLMS land cover products. Using Sentinel-2 data and AI-trained models, it aims to improve timeliness and the thematic flexibility of land cover maps.

๐ŸŒ Discover access routes to the Results Portal on our website https://www.evo-land.eu/results-portal/

#Copernicus #EarthObservation

@EU_HaDEA @EU_ENV @DLR @cnes

โณ One day to go!

Dive into #EvoLandResults tomorrow in our webinar: findings, methods, case studies + the Results Portal tour.

Sign up ๐Ÿ‘‰ https://us02web.zoom.us/webinar/register/WN_OoNkm412T6WhDCtIVPxkOA

#EvoLand #CopernicusLand

@EU_HaDEA @EU_ENV @DLR @cnes

๐ŸŒณ #EvoLand C2 candidate prototype maps forest disturbances continuously by leveraging synergies with the Continuous #Forest Monitoring service. Using AI/ML methods trained with in-situ disturbance data and time series from prototype C1, it identifies main disturbance agents (e.g., bark beetle infestations, wildfires, storms, logging).

๐ŸŒ Explore how to access the Results Portal for detailed insights into C2 services here: https://www.evo-land.eu/results-portal/

@EU_HaDEA @EU_ENV @DLR @cnes

๐ŸŒ Join us to Discover EvoLandโ€™s Results!

A deep dive into CLMS, #EvoLand prototypes, methods + live tutorials.

Featuring case studies on Forest, Land Cover, Urban & Water ๐Ÿš€

๐Ÿ‘‰Donโ€™t miss it! https://www.evo-land.eu/discover-evolands-results-webinar-on-4-december-2025/

#Copernicus #EvoLandWebinar #CopernicusLand

@EU_HaDEA @EU_ENV @DLR @cnes

๐ŸŒพ #EvoLand C4 candidate prototype maps cover crop types at 10โ€ฏm spatial resolution, complementing the VLCC service that currently detects cover crop presence only. Using new in-situ data and hierarchical deep learning models with Sentinel-1 and 2, C4 aims to provide detailed information on when & where different cover crops are grown.

๐ŸŒ ฮœore details on where to access the Results Portal for C4: https://www.evo-land.eu/results-portal/

#Agriculture #Copernicus

@EU_HaDEA @euenvironment @DLR @cnes

๐Ÿ›ค๏ธ #EvoLand C8 continuously monitors soil imperviousness, improving #urban land-sealing insights & HRL Imperviousness updates.

๐ŸŒ More about how to explore C8 ๐Ÿ‘‰ https://www.evo-land.eu/results-portal/

๐Ÿ—“๏ธ Register for our final webinar on 4/12 for an in-depth showcase of C8! ๐Ÿ‘‡

https://www.evo-land.eu/discover-evolands-results-webinar-on-4-december-2025/

@EU_HaDEA @EU_ENV @DLR @cnes