NDLI: Object-oriented image analysis to extract landscape elements in urban fringes, Central Japan

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Acknowledgments

Landscape and Ecological Engineering : Volume 9, Issue 1, January 2013

Landscape and Ecological Engineering : Volume 8

Landscape and Ecological Engineering : Volume 7

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Landscape and Ecological Engineering : Volume 1

Object-oriented image analysis to extract landscape elements in urban fringes, Central Japan

Content Provider	Springer Nature Link
Author	Takahashi, Kazuyuki Kamagata, ritoshi Hara, Keitarou
Copyright Year	2012
Abstract	A method enabling the object-oriented image analysis of landscape elements incorporating topographic data was designed and tested on a Japanese countryside target area. IKONOS data (four multispectral bands with a spatial resolution of 4 m and a panchromatic band with a spatial resolution of 1 m) acquired on 23 April 2001 were used. Definiens v.5 software (Definiens AG, München, Germany) was employed for the classification. The initial segmentation was multiresolution and bottom-up, and each segment identified was considered to be one object. Two classifications employing the same landscape elements and ground truth data were implemented. One classification adopted an object-based image analysis classification method based on spectral characteristics; the other utilized an object-oriented image analysis (OOIA) that allows for a suitable scale parameter to be selected independently for each landscape element. In addition, topographic data derived from field surveys (walking surveys) and topographic maps were used to create a topographic database delineating the boundary between valley bottoms and the adjacent slopes (elevation: about 10 m). These data were then integrated into the OOIA analysis. The accuracies of the two classifications were assessed by comparing the results to a master landscape map produced directly from aerial photographs and on-site observations. The object-oriented method using the topographic data resulted in a higher overall kappa coefficients (0.63–0.47) than the object-based method. These results indicate that object-oriented image analysis of very high resolution data used in combination with topographic data can be an effective tool for landscape classification in Japan, where historical land-use patterns have resulted in finely dissected landscapes.
Starting Page	239
Ending Page	247
Page Count	9
File Format	PDF
ISSN	18601871
Journal	Landscape and Ecological Engineering
Volume Number	9
Issue Number	2
e-ISSN	1860188X
Language	English
Publisher	Springer Japan
Publisher Date	2012-10-30
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Landscape classification Topographic data Japanese countryside IKONOS VHR satellite data Landscape Ecology Nature Conservation Civil Engineering Environmental Management Landscape/Regional and Urban Planning Plant Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology Management, Monitoring, Policy and Law Nature and Landscape Conservation

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Object-oriented image analysis to extract landscape elements in urban fringes, Central Japan

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