Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods-Reference-Cited by-同舟云学术

Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods

Published:2003-12 Issue:6 Volume:18 Page:525-536
ISSN:0282-7581
Container-title:Scandinavian Journal of Forest Research
language:en
Short-container-title:Scandinavian Journal of Forest Research

Author:

Schwarz Markus¹,Steinmeier Charlotte¹,Holecz Francesco²,Stebler Oliver³,Wagner Heinz⁴

Affiliation:

1. a Swiss Federal Research Institute WSL , Cascine di Barico , Zürcherstrasse 111, CH-8903, Birmensdorf

2. b Sarmap SA. , Cascine di Barico , CH-6989, Purasca

3. c Remote Sensing Laboratories, Department of Geography , University of Zurich , Winterthurerstrasse 190, CH-8057, Zurich

4. d Scherrer Ingenieurbüro AG , CH-9650, Nesslau

Publisher

Informa UK Limited

Subject

Forestry

Link

https://www.tandfonline.com/doi/pdf/10.1080/02827580310018023

Reference27 articles.

1. C-band repeat-pass interferometric SAR observations of the forest

2. Baatz, M. & Schäpe, A. 2000. Multiresolution segmentation – an optimization approach for high quality multi-scale image segmentation. In Strobl, T., Blaschke, T. & Griesebner G. (eds). Angewandte Geographische Informationsverarbeitung XII – Beiträge zum AGIT-Symposium, Salzburg, 2000. H. Wichmann Verlag, Heidelberg. ISBN 3-87907-361-9. (In German and English.)

3. Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR)

4. ERS INSAR Data for Remote Sensing Hilly Forested Areas

5. Polarimetric SAR interferometry

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