Methodology of Detecting ARD area by Remote Sensing-Reference-Cited by-同舟云学术

Methodology of Detecting ARD area by Remote Sensing

Published:2007 Issue:1 Volume:13 Page:29-42
ISSN:1341-562X
Container-title:Journal of Forest Planning
language:en
Short-container-title:JFP

Author:

Kakuta Satomi¹,Mitani Takuji¹,Saito Ryo¹,Nakazawa Akihiro¹,Awaya Yoshio²,Matsumoto Mitsuo²,Hori Shuji³

Affiliation:

1. Asia Air Survey, Co., Ltd.

2. Forestry and Forest Products Research Institute

3. Japan Forest Technology Association

Publisher

Japan Society of Forest Planning

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jfp/13/1/13_KJ00007911366/_pdf

Reference10 articles.

1. 1) BALL G. H. ISODATA-Novel Method of Data Analysis and Pattern Classification. Standard Research Institute. (1965)

2. 2) HOEL P. G. Elementary Statistics. Baifukan Co. Ltd. (1992)

3. 3) IIKURA Y. Correction of Atomospheric and Topographic Effects on Landsat TM Imagery. Journal of The Remote Sensing Society of Japan. (1999) vol.19, no.1, p.2-16.

4. 5) MURAKAMI T. Minnaert constant of several forest types from SPOT/HRV data. Journal of the Japan Society of Photogrammetry and Remote Sensing. (2002) vol.41, no.1, p.47-55.

5. 6) OTSU N. An Automatic Threshold Selection Method Based on Discriminant and Least Squares Criteria. The Transactions of the Institute of Electronics and Communication Engineers of Japan, D. (1980) vol.J63-D, no.4, p.349-356.

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1. Monitoring the Target Region of the Kyoto Protocol Article 3.3 with LANDSAT/TM Data;Journal of Forest Planning;2007

2. Application of Automatic Binarization Method for Nationwide Forest Area Mapping using Satellite Imagery;Journal of Forest Planning;2007

3. 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