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Evergreen and summergreen classification with Sentinel-2 data, K-means clustering derived labels and Machine learning methods

van Geffen, Femke and Hänsch, Ronny and Demir, Begüm and Kruse, Stefan and Herzschuh, Ulrike and Heim, Birgit (2023) Evergreen and summergreen classification with Sentinel-2 data, K-means clustering derived labels and Machine learning methods. In: EGU23-16242. European Geosciences Union (EGU) General Assembly, 2023-04-23 - 2023-04-28, Vienna, Austria. doi: 10.5194/egusphere-egu23-16242.

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Item URL in elib:https://elib.dlr.de/200121/
Document Type:Conference or Workshop Item (Speech)
Title:Evergreen and summergreen classification with Sentinel-2 data, K-means clustering derived labels and Machine learning methods
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
van Geffen, FemkeAWIUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Demir, BegümTechnical University of BerlinUNSPECIFIEDUNSPECIFIED
Kruse, StefanAWIUNSPECIFIEDUNSPECIFIED
Herzschuh, UlrikeAWIUNSPECIFIEDUNSPECIFIED
Heim, BirgitAWIUNSPECIFIEDUNSPECIFIED
Date:2023
Journal or Publication Title:EGU23-16242
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.5194/egusphere-egu23-16242
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 13:23
Last Modified:24 Apr 2024 21:00

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