Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Growing Stock Volume Estimation in T...
~
SpringerLink (Online service)
Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery/ by Nicolas Ackermann.
Author:
Ackermann, Nicolas.
Description:
XXV, 307 p. 141 illus., 121 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Remote sensing. -
Online resource:
https://doi.org/10.1007/978-3-319-13138-2
ISBN:
9783319131382
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. - 1st ed. 2015. - XXV, 307 p. 141 illus., 121 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053. - Springer Theses, Recognizing Outstanding Ph.D. Research,.
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
Standard No.: 10.1007/978-3-319-13138-2doiSubjects--Topical Terms:
557272
Remote sensing.
LC Class. No.: GA102.4.R44
Dewey Class. No.: 910.285
Growing Stock Volume Estimation in Temperate Forested Areas Using a Fusion Approach with SAR Satellites Imagery
LDR
:03121nam a22004215i 4500
001
960815
003
DE-He213
005
20200702052022.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783319131382
$9
978-3-319-13138-2
024
7
$a
10.1007/978-3-319-13138-2
$2
doi
035
$a
978-3-319-13138-2
050
4
$a
GA102.4.R44
050
4
$a
G70.39-70.6
072
7
$a
RGW
$2
bicssc
072
7
$a
TEC036000
$2
bisacsh
072
7
$a
RGW
$2
thema
082
0 4
$a
910.285
$2
23
100
1
$a
Ackermann, Nicolas.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$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.
250
$a
1st ed. 2015.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
XXV, 307 p. 141 illus., 121 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Springer Theses, Recognizing Outstanding Ph.D. Research,
$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
Remote sensing.
$3
557272
650
0
$a
Forestry.
$3
668651
650
0
$a
Geomorphology.
$3
566098
650
1 4
$a
Remote Sensing/Photogrammetry.
$3
670396
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319131399
776
0 8
$i
Printed edition:
$z
9783319131375
776
0 8
$i
Printed edition:
$z
9783319385945
830
0
$a
Springer Theses, Recognizing Outstanding Ph.D. Research,
$x
2190-5053
$3
1253569
856
4 0
$u
https://doi.org/10.1007/978-3-319-13138-2
912
$a
ZDB-2-EES
912
$a
ZDB-2-SXEE
950
$a
Earth and Environmental Science (SpringerNature-11646)
950
$a
Earth and Environmental Science (R0) (SpringerNature-43711)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login