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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