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Forestmap: mapping forest attributes across the globe - first case study

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dc.contributor.authorÜNSALAN, CEM
dc.contributor.authorsFransson J. E., Sertel E., ÜNSALAN C., Salo J., Holmstrom A., Wallerman J., Nilsson M.
dc.date.accessioned2023-12-11T07:05:31Z
dc.date.accessioned2026-01-11T10:35:23Z
dc.date.available2023-12-11T07:05:31Z
dc.date.issued2023-01-01
dc.description.abstractThis paper presents the project ForestMap - a project aiming to develop and distribute new methods, which provide the benefits of accurate forest maps to a global audience. Using the recent developments in remote sensing, machine learning, and Artificial Intelligence (AI) the goal is to export the Scandinavian success stories to a wide range of stakeholders in the world.
dc.identifier.citationFransson J. E., Sertel E., ÜNSALAN C., Salo J., Holmstrom A., Wallerman J., Nilsson M., \"ForestMap: Mapping Forest Attributes Across the Globe - First Case Study\", 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, California, Amerika Birleşik Devletleri, 16 - 21 Temmuz 2023, cilt.2023-July, ss.3395-3397
dc.identifier.doi10.1109/igarss52108.2023.10283354
dc.identifier.endpage3397
dc.identifier.startpage3395
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85178005515&origin=inward
dc.identifier.urihttps://hdl.handle.net/11424/295502
dc.language.isoeng
dc.relation.ispartof2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectJeofizik Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.subjectMühendislik ve Teknoloji
dc.subjectGeophysical Engineering
dc.subjectComputer Sciences
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectTemel Bilimler (SCI)
dc.subjectBilgisayar Bilimi
dc.subjectYerbilimleri
dc.subjectJEOKİMYA VE JEOFİZİK
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectNatural Sciences (SCI)
dc.subjectCOMPUTER SCIENCE
dc.subjectGEOSCIENCES
dc.subjectGEOCHEMISTRY & GEOPHYSICS
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectFizik Bilimleri
dc.subjectGenel Yer ve Gezegen Bilimleri
dc.subjectComputer Science Applications
dc.subjectPhysical Sciences
dc.subjectGeneral Earth and Planetary Sciences
dc.subjectArtificial Intelligence
dc.subjectForest
dc.subjectglobal
dc.subjectmachine learning
dc.subjectmap
dc.titleForestmap: mapping forest attributes across the globe - first case study
dc.typeconferenceObject
dspace.entity.typePublication

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