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Document type:
Masterarbeit
Author(s):
Deigele, Wolfgang
Title:
Wind throw detection using deep learning on PlanetScope and high‐resolution aerial images
Translated title:
Erkennung von Sturmwürfen mittels Deep Learning auf PlanetScope-Satellitenbildern und hochauflösenden Luftbildern
Abstract:
Due to climate change, the number of storms that cause damage to forests has been increasing over the past years. Trees knocked over by wind throw are a loss of timber if not harvested in time, therefore the damaged area has to be identified as quickly as possible. Current state of the art forest damage detection methods are mainly based on change detection using a before/after comparison as well as manual damage assessment using satellite and aerial images, which takes a great amount of time an...     »
Keywords:
GISTop_SpatialModelingAndAlgorithms
Subject:
BAU Bauingenieurwesen, Vermessungswesen
Supervisor:
Kolbe, Thomas H.
Advisor:
Willenborg, Bruno; Brandmeier, Melanie
Cooperation:
ESRI Deutschland GmbH; Bayerische Landesanstalt für Wald und Forstwirtschaft
Year:
2020
Quarter:
1. Quartal
Month:
Jan
Pages:
100
Language:
en
University:
Technische Universität München
Faculty:
Ingenieurfakultät Bau Geo Umwelt
TUM Institution:
Lehrstuhl für Geoinformatik
End of processing:
31.01.2020
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