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AI-vergreen: a multi-label Sentinel-2 training dataset of summer green (Larix) and evergreen needle leaf forest types in boreal forest biomes for remote sensing applications

Enguehard, Lea and Heim, Birgit and Kruse, Stefan and Demir, Begüm and Jackisch, Robert and Gloy, Josias and Haupt, Sarah and Schild, Laura and van Geffen, Femke and Döpper, Veronika and Hänsch, Ronny and Falco, Nicola and Herzschuh, Ulrike (2023) AI-vergreen: a multi-label Sentinel-2 training dataset of summer green (Larix) and evergreen needle leaf forest types in boreal forest biomes for remote sensing applications. In: EGU23-7624. European Geosciences Union (EGU) General Assembly, 2023-04-23 - 2023-04-28, Vienna, Austria. doi: 10.5194/egusphere-egu23-7624.

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Item URL in elib:https://elib.dlr.de/200123/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:AI-vergreen: a multi-label Sentinel-2 training dataset of summer green (Larix) and evergreen needle leaf forest types in boreal forest biomes for remote sensing applications
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Enguehard, LeaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heim, BirgitAWIUNSPECIFIEDUNSPECIFIED
Kruse, StefanAWIUNSPECIFIEDUNSPECIFIED
Demir, BegümTechnical University of BerlinUNSPECIFIEDUNSPECIFIED
Jackisch, RobertTechnical University of BerlinUNSPECIFIEDUNSPECIFIED
Gloy, JosiasAWIUNSPECIFIEDUNSPECIFIED
Haupt, SarahAWIUNSPECIFIEDUNSPECIFIED
Schild, LauraAWIUNSPECIFIEDUNSPECIFIED
van Geffen, FemkeAWIUNSPECIFIEDUNSPECIFIED
Döpper, VeronikaAWIUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Falco, NicolaLawrence Berkeley National LaboratoryUNSPECIFIEDUNSPECIFIED
Herzschuh, UlrikeAWI PotsdamUNSPECIFIEDUNSPECIFIED
Date:2023
Journal or Publication Title:EGU23-7624
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.5194/egusphere-egu23-7624
Status:Published
Keywords:Machine Learning
Event Title:European Geosciences Union (EGU) General Assembly
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:23 April 2023
Event End Date:28 April 2023
Organizer:EGU
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:30 Nov 2023 13:24
Last Modified:06 Aug 2025 11:08

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