Accuracy Assessment of ARD Detection by RS-Reference-Cited by-同舟云学术

Accuracy Assessment of ARD Detection by RS

Published:2007 Issue:1 Volume:13 Page:85-93
ISSN:1341-562X
Container-title:Journal of Forest Planning
language:en
Short-container-title:JFP

Author:

Miyasaka Satoshi¹,Yoneda Emiko¹,Sakaue Hiroyuki²,Takejima Kiyoshi³,Hori Syuji⁴,Iehara Toshiro⁵,Awaya Yoshio⁵

Affiliation:

1. Nakanihon Air service Co. Ltd.

2. Falcon Corporation

3. Gifu Academy of Forest Science and Culture

4. Japan Forest Technology Association

5. Forestry and Forest Products Research Institute

Publisher

Japan Society of Forest Planning

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jfp/13/1/13_KJ00007911369/_pdf

Reference13 articles.

1. 1) BAATZ M. Multiresolution segmentation : an optimization approach for high quality multi-scale image segmentation. Angewandte Geographische Informationsverarbeitung. (2000) p.12-23.

2. 2) JEGANATHAN C. Comparative study of object oriented classification approach with the conventional method for interpreting high resolution images. Asian Journal of Geoinformatics. (2002) vol.3, no.2, p.65-70.

3. 3) REGO L. Automatic classification of land over with high resolution data of the Rio de Janeiro City, Brazil, Comparison between pixel and object classification. Proceedings of the ISPRS WG 4th Symposium, Remote Sensing of Urban Areas. (2003) p.153-157.

4. 4) SCHIEWE J. Segmentation of high-resolution remotely sensed data-concepts, applications and problems. International Archives of Photogrammetry and Remote Sensing. (2002) vol.34, no.4, p.380-385.

5. 5) Takejima Kiyoshi. el al. A Semi-empirical Topographic Correction Method based on the Relation between Slope-aspect and Mean Radiance.. Journal of Forest Planning. Japan Society of Forest Planning. (2007) vol.13, no.1, p.43-55.

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1. Detection of Afforestation, Reforestation and Deforestation (ARD) by Visual Photo Interpretation of High Spatial Resolution Images : A Fundamental Case Study;Journal of Forest Planning;2007