The comparison analysis of land cover change based on vegetation index and multispectral classification (Case study Leihitu Peninsula Ambon City District)


  • W A Siahaya Gadjah Mada University
  • P Danoedoro Gadjah Mada University
  • N Khakhim Gadjah Mada University
  • M Baiquni Gadjah Mada University



change detection, colour composite, land cover, NDVI, vegetation index


The study utilized Landsat-7 ETM+ 2001and Landsat TM5 2009 based on Normalized Differences Vegetation Index (NDVI) and 457 colour composite at the study area located in Leihitu Peninsula, Ambon City District, Ambon Island, Moluccas Province. The classified satellite data under NDVI and 457 colour composite of 2001 and 2009 of 2001 and 2009 were used to determine land cover change that have occurred in the study areas. This study attempts to use a comparative change detection analysis in land cover that has occurred in the study area with NDVI and 457 colour composite over 9 year period (2001 to 2009). The results of the present study disclose that total area increased their land cover were bare land and impermeable surface, herbaceous and shrubs, low density vegetation, and medium density vegetation, while high density vegetation is decreasing in both NDVI and 457 colour composite analysis. Overall accuracy was estimated to be around 94.3 % for NDVI and for 457 Colour composites was 84.7%. The study area has experienced a change in its land cover between 2001 and 2009 in both NDVI and 457 false colour composite analyses. The whole land cover types have experienced increased in both methods, except high density vegetation. The transformations of spectral vegetation (NDVI) product more closely with actual land cover compared with 457 colour composite product.

Author Biography

W A Siahaya, Gadjah Mada University

Geography, Remote Sensing


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How to Cite

Siahaya, W. A., Danoedoro, P., Khakhim, N., & Baiquni, M. (2015). The comparison analysis of land cover change based on vegetation index and multispectral classification (Case study Leihitu Peninsula Ambon City District). Journal of Degraded and Mining Lands Management, 2(4), 415–422.



Research Article