Interpretability evaluation of annual mosaic image of MTB model for land cover changes analysis

Muhammad Dimyati, Ratih Dewanti Dimyati, Kustiyo, Projo Danoedoro, Hartono

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


To verify whether the annual mosaic image of MTB model is acceptable for further digital analysis, it is necessary to evaluate the visual interpretability. The MTB model is an effort to integrate multi-scene and multi-temporal data, to obtain a minimum cloud cover mosaic image in locations that are often covered by clouds and haze. This study is to evaluate the interpretability of the annual mosaic image for analysis of the land cover changes. The data used are the images of 2015, 2016, and 2017 covers a part of central Sumatra. Visual interpretations with a series of steps are used, starting with identification of the objects using interpretation keys, followed by spectral band correlations, scattergram analysis, and ended by consistency assessment. The consistency assessment step is performed to determine the level of clearness and easiness of the object recognition in the annual mosaic images. The results showed that the most optimal spectral bands used for RGB combinations for visual interpretation were Band SWIR-1, Band NIR, and Band Red. Based on the evaluation results, the annual mosaic image of MTB model performed the consistent results of the clearness objects and the easiness of the object recognition. Thus the annual mosaic image of MTB model of 0.02x0.02 degree tile is acceptable for further digital processing as well as digital land cover analysis.

Original languageEnglish
Pages (from-to)934-945
Number of pages12
JournalTelkomnika (Telecommunication Computing Electronics and Control)
Issue number3
Publication statusPublished - 1 Jun 2018


  • Annual mosaic image
  • Consistency of the results
  • Interpretability evaluation
  • Scattergram analysis
  • Standardization of data processing
  • The level of clearness
  • The level of easiness
  • Visual interpretations

Fingerprint Dive into the research topics of 'Interpretability evaluation of annual mosaic image of MTB model for land cover changes analysis'. Together they form a unique fingerprint.

Cite this