語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Growing stock volume estimation in t...
~
Thuringian Forest (Germany)
Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery
紀錄類型:
書目-語言資料,印刷品 : 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.;
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:
1065039
Forests and forestry
--Remote sensing.Subjects--Geographical Terms:
1065038
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
:02541nam a2200301 a 4500
001
835602
003
DE-He213
005
20150803084752.0
006
m d
007
cr nn 008maaau
008
160421s2015 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
1065037
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 :
$c
2015.
$b
Springer International Publishing :
$b
Imprint: Springer,
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
1065039
650
0
$a
Forest biomass.
$3
679301
650
0
$a
SAR
$3
1065040
650
1 4
$a
Geography.
$3
654331
650
2 4
$a
Remote Sensing/Photogrammetry.
$3
670396
650
2 4
$a
Forestry.
$3
668651
650
2 4
$a
Geomorphology.
$3
566098
651
0
$a
Thuringian Forest (Germany)
$3
1065038
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Springer theses.
$3
831604
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-13138-2
950
$a
Earth and Environmental Science (Springer-11646)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入