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SWIFTT: A Copernicus-based tool to map, mitigate, and prevent threats to EU forests (German)
With SWIFTT’s sustainable, effective, and low-cost forest management tool, Europe will be better positioned to combat climate change and preserve our biodiversity through healthier forests.
SWIFTT: A Copernicus-based tool to map, mitigate, and prevent threats to EU forests (French)
With SWIFTT’s sustainable, effective, and low-cost forest management tool, Europe will be better positioned to combat climate change and preserve our biodiversity through healthier forests.
SWIFTT: A Copernicus-based tool to map, mitigate, and prevent threats to EU forests (Italian)
With SWIFTT’s sustainable, effective, and low-cost forest management tool, Europe will be better positioned to combat climate change and preserve our biodiversity through healthier forests.
SWIFTT: A Copernicus-based tool to map, mitigate, and prevent threats to EU forests (Latvian)
With SWIFTT’s sustainable, effective, and low-cost forest management tool, Europe will be better positioned to combat climate change and preserve our biodiversity through healthier forests.
SWIFTT: A Copernicus-based tool to map, mitigate, and prevent threats to EU forests (Ukranian)
With SWIFTT’s sustainable, effective, and low-cost forest management tool, Europe will be better positioned to combat climate change and preserve our biodiversity through healthier forests.
SWIFTT: A Copernicus-based tool to map, mitigate, and prevent threats to EU forests (English)
With SWIFTT’s sustainable, effective, and low-cost forest management tool, Europe will be better positioned to combat climate change and preserve our biodiversity through healthier forests.
SWIFTT Interview: Nataliia Kussul
SWIFTT will use the rich Copernicus Sentinel satellite data and powerful machine-learning models, to help foresters identify changes in tree health, map dieback in their forests, and to coordinate sanitary cuts faster, thereby preventing the spread of disease and insect outbreaks. Project partner Nataliia Kussul explains in the video above.
SWIFTT Interview: Gauthier Masson
SWIFTT will help forest managers to detect and map threats that are responsible for most of the biomass loss in European forests, making us better positioned to combat climate change and preserve biodiversity through healthier forests. Project partner Gauthier Masson tells as more in the video above.
SWIFTT Interview: Annalisa Appice
The SWIFTT platform will allow early detection of insect-infested trees, helping foresters map dieback in their forests, coordinate sanitary cuts, and prevent their spread. Project partner Annalisa Appice explains in the video above.
SWIFTT Interview: Quentin Voituron
Windthrow accounts for more than half of all damaged timber in European forests. The SWIFTT platform will help foresters to quickly measure damage from a recent storm and coordinate a faster post-storm response, limiting the risk of future threats. Quentin Voituron tells us more in the video above.
SWIFTT Interview: Sven Ysker
SWIFTT will identify areas at high risk of wildfires at a much higher resolution than offered by currently available services, allowing forest managers to deal with this threat proactively and efficiently allocate resources for fire prevention. Project partner Sven Ysker explains in the video above.
SWIFTT Interview: Ismail Elasri
SWIFTT will provide affordable, simple, and effective remote sensing tools to monitor forests at risk across Europe allowing forest managers to prevent, estimate and mitigate the impact of windthrow, insect outbreaks, and wildfires. Learn more from project partner Ismail Elasri in the video above.
SWIFTT Interview: Laura Veinberga
SWIFTT’s end-user partners are in charge of collecting precise, time-stamped and geo-referenced data sets upon which SWIFTT’s machine-learning models are dependent. Project partner Laura Veinberga tells us more in the video above.
SWIFTT Interview: Chiara Solimini
Using Copernicus data, SWIFTT will increase forest management productivity and cost-effectiveness, and enable public and private forest managers, authorities, and policymakers to deal with forest threats proactively. SWIFTT’s project officer Chiara Solimini tells us more about the project in the video above.
SWIFTT Slide Deck #1 | English Version
This slide deck describes the SWIFTT project and its goal of providing forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
The SWIFTT Project | Video #1 with Ukrainian Subtitles
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
The SWIFTT Project | Video #1 with Latvian Subtitles
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
The SWIFTT Project | Video #1 with German Subtitles
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
The SWIFTT Project | Video #1 with Italian Subtitles
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
The SWIFTT Project | Video #1 with French Subtitles
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
The SWIFTT Project | Video #1 with English Subtitles
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
