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Remote sensing-based plantation forest mapping in the Central Highlands of Vietnam: A deep learning approach

Zygar, Cornelia (2023) Remote sensing-based plantation forest mapping in the Central Highlands of Vietnam: A deep learning approach. Master's, Julius-Maximilians-Universität Würzburg.

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Item URL in elib:https://elib.dlr.de/195651/
Document Type:Thesis (Master's)
Title:Remote sensing-based plantation forest mapping in the Central Highlands of Vietnam: A deep learning approach
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Zygar, CorneliaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:28 April 2023
Refereed publication:No
Open Access:No
Number of Pages:76
Status:Published
Keywords:plantation forest mapping, deep-learning, LSTM, Vietnam
Institution:Julius-Maximilians-Universität Würzburg
Department:Earth Observation Research Hub
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 - Remote Sensing and Geo Research, R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Huth, Juliane
Deposited On:31 Jul 2023 11:28
Last Modified:31 Jul 2023 11:28

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