Classification of Land Cover from Sentinel-2 Imagery Using Supervised Classification Technique (Preliminary Study)

Eka Miranda, Achmad Benny Mutiara, Ernastuti, Wahvu Catur Wibowo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper intended to classify land cover of high-resolution satellite image using supervised classification method. The object of this research was the land cover image of the central Java area in Indonesia which chosen as an area observed with the cloud cover consideration. The Satellite image was obtained from Sentinel-2 through https://earthexplorer.usgs.gov. Supervised Classification and ArcMap 10.5 was used to classified image object. This research classified the land cover into four classifications class namely Water, Forest, Urban and Bare Land due to show the main classes in the Land Cover Classification of RSNI-l National Standardization Body of Indonesia, RSNI-l was used as reference for classification process. The confusion matrix used to calculate classification accuracy value. Subsequently, confusion matrix results compared to the truth information. The truth information was derived from the actual value of RASTERVALUE obtained from Google Earth. This research shown supervised classification maximum-likelihood classification has been classified land cover into four class (forest, water body, urban and bare land) with overall accuracy = 1 and kappa value = 0.4896. This result showed this research got moderate kappa accuracy value but high overall accuracy value. High accuracy value reached due to fully supervised experiment during classification process.

Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Information Management and Technology, ICIMTech 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-74
Number of pages6
ISBN (Electronic)9781538658215
DOIs
Publication statusPublished - 8 Nov 2018
Event3rd International Conference on Information Management and Technology, ICIMTech 2018 - Jakarta, Indonesia
Duration: 3 Sep 20185 Sep 2018

Publication series

NameProceedings of 2018 International Conference on Information Management and Technology, ICIMTech 2018

Conference

Conference3rd International Conference on Information Management and Technology, ICIMTech 2018
Country/TerritoryIndonesia
CityJakarta
Period3/09/185/09/18

Keywords

  • land cover
  • land cover classification of RSNI-1 national standardization body of Indonesia
  • maximum-likelihood classification
  • supervised classification

Fingerprint

Dive into the research topics of 'Classification of Land Cover from Sentinel-2 Imagery Using Supervised Classification Technique (Preliminary Study)'. Together they form a unique fingerprint.

Cite this