語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Open source geospatial toolsapplicat...
~
Kempeneers, Pieter.
Open source geospatial toolsapplications in earth observation /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Open source geospatial toolsby Daniel McInerney, Pieter Kempeneers.
其他題名:
applications in earth observation /
作者:
McInerney, Daniel.
其他作者:
Kempeneers, Pieter.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
xxv, 358 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Geographic information systems.
電子資源:
http://dx.doi.org/10.1007/978-3-319-01824-9
ISBN:
9783319018249 (electronic bk.)
Open source geospatial toolsapplications in earth observation /
McInerney, Daniel.
Open source geospatial tools
applications in earth observation /[electronic resource] :by Daniel McInerney, Pieter Kempeneers. - Cham :Springer International Publishing :2015. - xxv, 358 p. :ill., digital ;24 cm. - Earth systems data and models. - Earth systems data and models..
Introduction -- Vector data processing -- Raster data explained -- Introduction to GDAL utilities -- Manipulating raster data -- Indexed color images -- Image overviews, tiling and pyramids -- Image (re-)projections and merging -- Raster meets vector data -- Raster meets point data -- Virtual rasters and raster calculations -- Pktools -- Orfeo Toolbox -- Write your own geospatial utilities -- 3D point cloud data processing -- Case study on Vector Spatial analysis -- Multispectral land cover classification -- Case study on point data -- Conclusions and future outlook.
This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.
ISBN: 9783319018249 (electronic bk.)
Standard No.: 10.1007/978-3-319-01824-9doiSubjects--Topical Terms:
193348
Geographic information systems.
LC Class. No.: G70.212
Dewey Class. No.: 910.285
Open source geospatial toolsapplications in earth observation /
LDR
:02335nmm a2200349 a 4500
001
460460
003
DE-He213
005
20150706114239.0
006
m d
007
cr nn 008maaau
008
151110s2015 gw s 0 eng d
020
$a
9783319018249 (electronic bk.)
020
$a
9783319018232 (paper)
024
7
$a
10.1007/978-3-319-01824-9
$2
doi
035
$a
978-3-319-01824-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
G70.212
072
7
$a
RB
$2
bicssc
072
7
$a
TQ
$2
bicssc
072
7
$a
SCI019000
$2
bisacsh
072
7
$a
NAT011000
$2
bisacsh
082
0 4
$a
910.285
$2
23
090
$a
G70.212
$b
.M152 2015
100
1
$a
McInerney, Daniel.
$3
711912
245
1 0
$a
Open source geospatial tools
$h
[electronic resource] :
$b
applications in earth observation /
$c
by Daniel McInerney, Pieter Kempeneers.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xxv, 358 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Earth systems data and models
505
0
$a
Introduction -- Vector data processing -- Raster data explained -- Introduction to GDAL utilities -- Manipulating raster data -- Indexed color images -- Image overviews, tiling and pyramids -- Image (re-)projections and merging -- Raster meets vector data -- Raster meets point data -- Virtual rasters and raster calculations -- Pktools -- Orfeo Toolbox -- Write your own geospatial utilities -- 3D point cloud data processing -- Case study on Vector Spatial analysis -- Multispectral land cover classification -- Case study on point data -- Conclusions and future outlook.
520
$a
This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.
650
0
$a
Geographic information systems.
$3
193348
650
0
$a
Open source software.
$3
200208
650
1 4
$a
Earth Sciences.
$3
309702
650
2 4
$a
Earth System Sciences.
$3
559038
650
2 4
$a
Remote Sensing/Photogrammetry.
$3
274522
650
2 4
$a
Geographical Information Systems/Cartography.
$3
273999
650
2 4
$a
Programming Techniques.
$3
274470
650
2 4
$a
Image Processing and Computer Vision.
$3
274051
650
2 4
$a
Environmental Monitoring/Analysis.
$3
274562
700
1
$a
Kempeneers, Pieter.
$3
711913
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Earth systems data and models.
$3
711914
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-01824-9
950
$a
Earth and Environmental Science (Springer-11646)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000109967
電子館藏
1圖書
電子書
EB G70.212 M152 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-01824-9
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入