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Effect of Landform in Loess Hilly-Gully Region on the Dynamic Change of Land Use in Qingyang City

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Geo-Informatics in Resource Management and Sustainable Ecosystem ( 2015, GRMSE 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 569))

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Abstract

By applying GIS and RS technologies and using Landsat TM/ETM data, the study, from the angle of geomorphology, analyzes the land use changes in 1990, 2000 and 2006 in Qingyang City. The study results are as follows: The proportion of the grassland, water body, cropland and unused land decreased while that of the forest land and construction land increased. The cropland area in divisions II and IV increased while in the other geomorphological units decreased. The water body area in division III decreased but increased at varying degrees in other divisions. The comprehensive dynamic degree of land use in the later period of the study was higher than that in the earlier period and the dynamic degree of single land type was characterized by the same trend. The land use change map indicated that in divisions I and V the conversion of cropland to forest land took up the highest proportion of all the land change types, that the land use change varied in different landforms and that the distribution and shift of the land use change hot areas were closely related to the distribution characteristics of human activity intensity and government policies.

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Authors and Affiliations

  1. College of Resource and Environment Science, Gansu Agricultural University, Lanzhou, 730070, China

    Aihong Gai, Qian Lu, Peijie Yan, Renzhi Zhang & Huihui Kang

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  1. Aihong Gai
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  2. Qian Lu
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  3. Peijie Yan
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  4. Renzhi Zhang
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  5. Huihui Kang
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Correspondence to Aihong Gai .

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Editors and Affiliations

  1. Wuhan University , Wuhan, China

    Fuling Bian

  2. Eastern Michigan University , Ypsilanti, China

    Yichun Xie

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Gai, A., Lu, Q., Yan, P., Zhang, R., Kang, H. (2016). Effect of Landform in Loess Hilly-Gully Region on the Dynamic Change of Land Use in Qingyang City. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_29

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  • DOI: https://doi.org/10.1007/978-3-662-49155-3_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49154-6

  • Online ISBN: 978-3-662-49155-3

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