Mapping standing dead trees in temperate montane forests using a pixel- and object-based image fusion method and stereo WorldView-3 imagery

Mapping standing dead trees in temperate montane forests using a pixel- and object-based image fusion method and stereo WorldView-3 imagery

Information about the distribution of standing dead trees (SDT) is essential for forest biodiversity estimation, forest disturbances monitoring, and forest management strategy planning. Although remote sensing techniques offer unique capabilities to map SDT over large areas, three major hurdles exis...

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Bibliographic Details
Main Authors: Denter, M. (Author), Frey, J. (Author), Koch, B. (Author), Liu, X. (Author), Still, N. (Author), Zielewska-Büttner, K. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Bare grounds
Biodiversity
Canopy Height Models
Decision trees
Deep neural networks
forest management
Forestry
Fusion method
Fusion methods
Image fusion
Learning algorithms
machine learning
Machine learning
Mapping
mapping method
montane forest
Object-based classification
Object-based classifications
Object-based Image fusions
pixel
Pixels
remote sensing
Remote sensing
satellite imagery
Standing dead trees
Stereo image processing
Stereo worldview-3
Stereo WorldView-3
Study areas
Support vector machines
temperate forest
Temperate montane forest
Textures
tree
Tree mapping
WorldView
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