東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Growing stock volume estimation in t...

Ackermann, Nicolas.

FindBook

Google Book

Amazon

博客來

Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery

紀錄類型:	書目-電子資源 : Monograph/item
正題名/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.
內容註:	Introduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices.
Contained By:	Springer eBooks
標題:	Forests and forestry - Remote sensing. -
標題:	Thuringian Forest (Germany) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-13138-2
ISBN:	9783319131382 (electronic bk.)

Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery
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:

2133368
Forests and forestry
--Remote sensing.Subjects--Geographical Terms:

2133367
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
LDR:02541nmm a2200301 a 4500 001 1994503
003 DE-He213
005 20150803084752.0
006 m d
007 cr nn 008maaau
008 151019s2015 gw s 0 eng d
020 $a 9783319131382 (electronic bk.)
020 $a 9783319131375 (paper)
024 7 $a 10.1007/978-3-319-13138-2 $2 doi
035 $a 978-3-319-13138-2
040 $a GP $c GP
041 0 $a eng
050 4 $a SD387.R4
082 0 4 $a 634.9 $2 23
090 $a SD387.R4 $b A182 2015
100 1 $a Ackermann, Nicolas. $3 2133366
245 1 0 $a Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery $h [electronic resource] / $c by Nicolas Ackermann.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxv, 307 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Introduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices.
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
650 0 $a Forests and forestry $x Remote sensing. $3 2133368
650 0 $a Forest biomass. $3 900031
650 0 $a SAR $3 2133369
650 1 4 $a Geography. $3 524010
650 2 4 $a Remote Sensing/Photogrammetry. $3 890882
650 2 4 $a Forestry. $3 895157
650 2 4 $a Geomorphology. $3 542703
651 0 $a Thuringian Forest (Germany) $3 2133367
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 1314442
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-13138-2
950 $a Earth and Environmental Science (Springer-11646)