LAND USE ANALYSIS USING TIME SERIES OF VEGETATION INDEX DERIVED FROM SATELLITE REMOTE SENSING IN BRANTAS RIVER WATERSHED, EAST JAVA, INDONESIA

DOI: https://doi.org/10.14710/geoplanning.4.2.109-120
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Published: 30-10-2017
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In this study, time series datasets of MODIS EVI (Enhanced Vegetation Index) data from 2002 and 2011 in the Brantas River watershed located in eastern Java, Indonesia were analyzed and classified to make ten land use maps for each year, in order to support watershed land use planning which takes into account local land use and trends in land use change. These land use maps with eight types of main land use categories were examined. During the 10 years period, forested area has expanded, while upland, paddy rice field, mixed garden and plantation have decreased. One of the reasons for this land use change is ascribed to tree planting under the joint forest management system by local people and the state forest corporation.

Keywords

Time series dataset; Land use classification; MODIS vegetation index; Brantas watershed

  1. Kunihiko Yoshino  Scholar
    Faculty of Engineering, Information and Systems, University of Tsukuba, Japan
  2. Yudi Setiawan  Orcid Scholar
    Faculty of Forestry, Bogor Agricultural University, Indonesia
  3. Eikichi Shima  Scopus Scholar
    School of Veterinary Medicine, Kitasato University, Japan
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