Monitoring land use/cover changes using remotely sensed imagery in Isfahan, Iran

被引:1
|
作者
Nadoushan, Mozhgan Ahmadi [1 ]
Abari, Maryam Foroughi [1 ]
Radnezhad, Hadi [1 ]
Sadeghi, Masoumeh [1 ]
机构
[1] Islamic Azad Univ, Isfahan Khorasgan Branch, Dept Environm Sci, Esfahan, Iran
关键词
Change detection; Landsat TM; Land use; Post-classification comparison; COASTAL ZONE; TIME-SERIES; COVER; LANDSCAPE; DYNAMICS; CLASSIFICATION;
D O I
暂无
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Present study studies land use/cover changes in Isfahan urban area located in the center of Iran from 1985 to 2010 using multi temporal Landsat TM images. Overall accuracy and kappa of was more than 85% for all maps. Land use/cover maps of 1985 vertical bar 1998 and 2010 were compared using the post-classification comparison method for detecting changes. The results showed that the urban lands faced the maximum of 16.4% incremental changes from 1985 to 1998 and this change was 9.03% in vegetation. Decreasing changes related to the barren lands was equal to -13.05%. Trend of the changes from 1998 to 2010 was 33.38% incremental in urban lands as well as, the decreasing changes occurred in the vegetation by -9.42% and in the barren lands equal to -0.74%.
引用
收藏
页码:538 / 544
页数:7
相关论文
共 50 条
  • [41] High spatial resolution land cover mapping using remotely sensed image
    Lim, H. S.
    AlSultan, Sultan
    MatJafri, M. Z.
    Abdullah, K.
    Alias, A. N.
    Wong, C. J.
    Saleh, N. Mohd.
    [J]. OPTICAL PATTERN RECOGNITION XIX, 2008, 6977
  • [42] Analysis of Land Cover Change in a Coastal Area using Remotely Sensed Data
    Jaunzeme, I.
    Kalinka, M.
    Reiniks, M.
    Kaminskis, J.
    [J]. 2ND INTERNATIONAL CONFERENCE ON INNOVATIVE MATERIALS, STRUCTURES AND TECHNOLOGIES, 2015, 96
  • [43] Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
    Andreo, Veronica
    Rosa, Juan
    Ramos, Karina
    Daniel Salomon, O.
    [J]. GEOSPATIAL HEALTH, 2022, 17 (01)
  • [44] Land Cover Classification of Subarctic Wetlands Using Multisource Remotely Sensed Data
    Hu, Baoxin
    Brown, Glen
    Stirling, Callie
    Wang, Jianguo
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 5073 - 5092
  • [45] Monitoring and estimating spatial-temporary land use changes of the Aegean region with remotely sensed data
    Dilek Kucuk Matci
    [J]. Environmental Science and Pollution Research, 2023, 30 : 27583 - 27592
  • [46] Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network
    G. M. Foody
    [J]. Neural Computing & Applications, 1997, 5 : 238 - 247
  • [47] Land Cover Change Mapping at the Subpixel Scale With Different Spatial-Resolution Remotely Sensed Imagery
    Ling, Feng
    Li, Wenbo
    Du, Yun
    Li, Xiaodong
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (01) : 182 - 186
  • [48] Monitoring Land Use Dynamics in Chanthaburi Province of Thailand Using Digital Remotely Sensed Images
    I.KHEORUENROMNE
    [J]. Pedosphere, 2003, (02) : 157 - 164
  • [49] Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network
    Foody, GM
    [J]. NEURAL COMPUTING & APPLICATIONS, 1997, 5 (04): : 238 - 247
  • [50] Evaluating the use of publicly available remotely sensed land cover data for areal interpolation
    Lin, Jie
    Cromley, Robert G.
    Civco, Daniel L.
    Hanink, Dean M.
    Zhang, Chuanrong
    [J]. GISCIENCE & REMOTE SENSING, 2013, 50 (02) : 212 - 230