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Nicolas Ackermann - Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery - 9783319131375 - V9783319131375
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Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery

€ 123.83
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Description for Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery Hardback. Series: Springer Theses. Num Pages: 332 pages, 20 black & white illustrations, 121 colour illustrations, biography. BIC Classification: RGW; TVR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 666.
"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 ... Read more

Product Details

Format
Hardback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
332
Condition
New
Series
Springer Theses
Number of Pages
307
Place of Publication
Cham, Switzerland
ISBN
9783319131375
SKU
V9783319131375
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Nicolas Ackermann
Nicolas Ackermann received the M.Sc. degree in environmental engineering and sciences from the Swiss Federal Institute of Technology of Lausanne (EPFL) in 2008. He continued his studies by carrying a Ph.D. over a 4.5-year period with 3 years spent at the Friedrich Schiller University of Jena (FSU) and 1.5 years spent at the Swiss Federal Institute of Technology Zürich (ETHZ). ... Read more

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