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Classification Sensing Image of Remote Using Landsat 8 through Unsupervised Classification Technique (Case Study of Bangkalan Regency)

R. V. Nahari,R. Alfita

Published 2017 in International Journal of Advanced engineering, Management and Science

ABSTRACT

Bangkalan regency is classified as a new regency which is located East Java, Indonesia. This regency possesses several potential areas in agriculture, plantation, and fishery. This research employs image analysis process of remote sensing satellite Landsat 8 in Bangkalan regency. This research uses Landsat 8 satellite image processing method from image data collection stage to classification stage by using unsupervised classification technique. This method produces land appearance, such as agriculture, ponds, and settlements in Bangkalan regency. This research classification result can be used as a reference of vegetation coverage in Bangkalan regency. Based on the research result, rice field vegetation is very dominant compared to other areas in Bangkalan Regency. Rice field vegetation coverage is much more dominant than other coverage such as residential area. The main objective of this study is to obtain the scale of comparison or area percentage in Bangkalan.

PUBLICATION RECORD

  • Publication year

    2017

  • Venue

    International Journal of Advanced engineering, Management and Science

  • Publication date

    2017-08-01

  • Fields of study

    Geography, Environmental Science

  • Identifiers
    DOI 10.24001/IJAEMS.3.8.10
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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