DEVELOPMENT OF THE NEW ALGORITHM FOR MANGROVE CLASSIFICATION

Authors

  • Nuarsa I Wayan Department of Soil Science, Faculty of Agricultural, Udayana University
  • Sandi Adnyana I Wayan Department of Soil Science, Faculty of Agricultural, Udayana University
  • Yasuhiro Sugimori Center For Remote Sensing and Ocean Science, Udayana University
  • Susumu Kanno Center For Remote Sensing and Ocean Science, Udayana University
  • Fumihiko Nishio CeRES, Chiba University, Japan

DOI:

https://doi.org/10.30536/j.ijreses.2005.v2.a1358

Keywords:

Mangrove, Landsat ETM+, Empirical Model, Image Classification

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.

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Published

2025-11-26

Issue

Vol. 2 (2005)

Section

Articles

License

Copyright (c) 2005 Author (S)

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