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Image of Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery
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Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery

ACKERMANN, Nicolas - Personal Name;

"The PhD thesis written by Mr. Ackermann is an outstanding and in-depth scientific study that closes a research gap and paves the way to new developments. Despite the extremely complex issues, his work is very understandable and excellently elaborated."
Prof. Dr. Christiane Schmullius
"The PhD thesis written by Mr. Ackermann is an excellent and very comprehensive work performed at the highest scientific level. It examines in detail the potential of SAR data with regards to the derivation of forest stem volume in the temperate latitudes. The work belongs to a technically complex field. Nevertheless, Mr. Ackermann has succeeded in presenting the content in a clear and understandable way."
Dr. Christian Thiel
"The proposed document is overall of very good quality. Mr. Ackermann has done an exhaustive analysis of the in-situ data available on the Thuringian forest and was able to derive Growing Stocking Volume using L- and X-band spaceborne SAR data. The document is very well structured with a good split of information between the core of the text presented in the 6 chapters and the 4 annexes, which contain detailed results. Mr. Ackermann’s English grammar is excellent and his syntax is crystal clear, making his document pleasant to read. The way arguments are presented is logical and Mr. Ackermann gives a lot of attention to ensuring that sound explanations properly support these arguments."
Dr. Maurice Borgeaud


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Detail Information
Series Title
Springer Theses
Call Number
551 NIC g
Publisher
: ., 2015
Collation
XXV, 307
Language
English
ISBN/ISSN
978-3-319-13137-5
Classification
551
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
1
Subject(s)
Remote Sensing/Photogrammetry
Specific Detail Info
-
Statement of Responsibility
Nicolas Ackermann
Other Information
Cataloger
Khusnun
Source
-
Validator
-
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
Other version/related

No other version available

File Attachment
  • https://link.springer.com/10.1007/978-3-319-13138-2
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