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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.
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.
