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Development of the New Algoritm for Mangrove Classification

Prof. Dr. Ir. I Wayan Nuarsa, M.Si., I Wayan Nuarsa (2005) Development of the New Algoritm for Mangrove Classification. International Journal of Remote Sensing and Earth Science, 2. ISSN 0216-6739

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Abstract

The objective of the study is to develop the algorithm for mangrove classification and density. Regression and correlation analysis was used to perform the equation. CE1 = (0.663*Band 3) + (0.l55 *Band 4) – (l.4*Band 5) + 0.995 And CE2 = 36 * Band 4 +6*Band 5 + Band 3 were two formula that have been used to classify the mangrove. The object will be classified as mangrove when the value of CE1 is between -31.439 and 0.888, and value of CE2 is greater than or equal to 2000. On the other hand, density of the mangrove was expressed as DE = (2 * Band 4)/(Band 1+Band 3). Mangrove classification result in this study was similar to those of the existing methods. Statistical approach in this study generally gives the higher result tendency than other methods.

Item Type: Article
Uncontrolled Keywords: Mangrove, Landsat ETM+, Empirical Model, Image Classification
Subjects: L Education > L Education (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Education
Depositing User: Mr. Repository Admin
Date Deposited: 07 Jun 2016 21:58
Last Modified: 21 Jun 2016 05:58
URI: http://erepo.unud.ac.id/id/eprint/7952

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