大葉大學圖書館 |

Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	634.9
書名/作者:	Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery/ by Nicolas Ackermann.
作者:	Ackermann, Nicolas.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxv, 307 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Forests and forestry - Remote sensing.
標題:	Forest biomass.
標題:	SAR
標題:	Geography.
標題:	Remote Sensing/Photogrammetry.
標題:	Forestry.
標題:	Geomorphology.
標題:	Thuringian Forest (Germany)
ISBN:	9783319131382 (electronic bk.)
ISBN:	9783319131375 (paper)
內容註:	Introduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices.
摘要、提要註:	"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
電子資源:	http://dx.doi.org/10.1007/978-3-319-13138-2

Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery[electronic resource] /
Ackermann, Nicolas.

Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery[electronic resource] /by Nicolas Ackermann. - Cham :Springer International Publishing :2015. - xxv, 307 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices.

"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

ISBN: 9783319131382 (electronic bk.)

Standard No.: 10.1007/978-3-319-13138-2doiSubjects--Topical Terms:

605359
Forests and forestry
--Remote sensing.Subjects--Geographical Terms:

605358
Thuringian Forest (Germany)

LC Class. No.: SD387.R4

Dewey Class. No.: 634.9

Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery[electronic resource] /
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520 $a "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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