语系:
簡体中文
English
日文
繁體中文
说明
登入
回上页
切换:
标签
|
MARC模式
|
ISBD
Growing stock volume estimation in t...
~
Ackermann, Nicolas.
Growing stock volume estimation in temperate forested areas using a fusion approach with SAR satellites imagery[electronic resource] /
纪录类型:
书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:
634.9
[NT 47271] Title/Author:
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.
面页册数:
xxv, 307 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
标题:
Forests and forestry - Remote sensing.
标题:
Forest biomass.
标题:
SAR
标题:
Geography.
标题:
Remote Sensing/Photogrammetry.
标题:
Forestry.
标题:
Geomorphology.
标题:
Thuringian Forest (Germany)
ISBN:
9783319131382 (electronic bk.)
ISBN:
9783319131375 (paper)
[NT 15000228] null:
Introduction -- Literature Review -- Theory and Techniques -- Test Site, Data and Methods -- Results -- Conclusions -- Appendices.
[NT 15000229] null:
"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
电子资源:
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] /
LDR
:02541nam a2200301 a 4500
001
425898
003
DE-He213
005
20150803084752.0
006
m d
007
cr nn 008maaau
008
151119s2015 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
605357
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
605359
650
0
$a
Forest biomass.
$3
605360
650
0
$a
SAR
$3
605361
650
1 4
$a
Geography.
$3
390716
650
2 4
$a
Remote Sensing/Photogrammetry.
$3
463809
650
2 4
$a
Forestry.
$3
464303
650
2 4
$a
Geomorphology.
$3
404672
651
0
$a
Thuringian Forest (Germany)
$3
605358
710
2
$a
SpringerLink (Online service)
$3
463450
773
0
$t
Springer eBooks
830
0
$a
Springer theses.
$3
463746
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-13138-2
950
$a
Earth and Environmental Science (Springer-11646)
读者评论 0 笔
多媒体
多媒体档案
http://dx.doi.org/10.1007/978-3-319-13138-2
评论
新增评论
分享你的心得
Export
[NT 5501410] pickup library
处理中
...
变更密码
登入