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Butt, A., Shabbir, R., Ahmad, S.S., Aziz, N., Nawaz, M. and Shah, M.T.A. (2015) Land Cover Classification and Change Detection Analysis of Rawal Watershed Using Remote Sensing Data. Journal of Biodiversity and Environmental Sciences, 6, 236-248.

has been cited by the following article:

• TITLE: The Study of Spatial Distribution of Land Use in the Yellow River Delta in China

  AUTHORS: Li Fan, Yusheng Gong, Ting Duan, Jiayu Wang

  KEYWORDS: Buffer Zone Analysis, Land Use Degree, Regional Statistics, Geo-Information Map

  JOURNAL NAME: Journal of Geographic Information System, Vol.12 No.4, July 14, 2020

  ABSTRACT: In this paper, Land at 8 OLI image data from 2013 to 2017 was interpreted by visual interpretation combined with supervised classification to extract the information of land use distribution in the Yellow River Delta in China. The characteristics of Land Use Cover Change (LUCC) in the past five years which were analyzed by land use spatial analysis method based on buffer zone were discussed to obtain the land use index trend of five land types in buffer zones at different distance. The land use transfer maps of 2013 and 2017 were made by using the geo-information mapping method. The spatial-temporal change rules and the development process of land use in the Yellow River Delta during the past five years were analyzed. According to the analysis results, the comprehensive index of land use degree in the study area was in the middle level. The land use transfer maps were mainly consisted of farmland and grassland. The change rate of bare land to vegetation was 20.21% and that of vegetation to bare land was 14.15%. This study can provide effective basis for the scientific management of land and rational guidance for planning in this area.