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Article Information:
K-Nearest Neighbor Method for Classification of Forest Encroachment by Using Reflectance Processing of Remote Sensing Spectroradiometer Data
Ahmed A. Mehdawi and Bahrin Bin Ahmad
Corresponding Author: Ahmed A. Mehdawi
Submitted: April 06, 2013
Accepted: April 22, 2013
Published: August 20, 2013 |
Abstract:
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This study gives sophisticated result in the use of K-Nearest Neighbor Method classification of forest. The major focus is on the data and technique that can be used to identify the changes in forest features. This study will concentrate on identifying forest encroachment in tropical forests such as the forests of Malaysia. This technique study will establish a strong mechanism that can be used by different sectors such as forestry, local administration, surveying and agriculture. The main contribution of this study is that it utilizes of K-Nearest Neighbor Method with remote sensing data to detect forest encroachment. Hopefully, this study will serve as a reference for any future research on utilizes of K-Nearest classification as tools to identify of tropical forest encroachment.
Key words: K-nearest neighbor method, malaysia and encroachment, remote sensing, tropical forests, , ,
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Cite this Reference:
Ahmed A. Mehdawi and Bahrin Bin Ahmad, . K-Nearest Neighbor Method for Classification of Forest Encroachment by Using Reflectance Processing of Remote Sensing Spectroradiometer Data. Research Journal of Applied Sciences, Engineering and Technology, (15): 2881-2885.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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