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The Spatial and Temporal Land Cover Patterns of the Qazaly Irrigation Zone in 2003–2018: The Case of Syrdarya River’s Lower Reaches, Kazakhstan

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  • Kanat Samarkhanov

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan)

  • Jilili Abuduwaili

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Alim Samat

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Gulnura Issanova

    (Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan
    U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, Almaty 050060, Kazakhstan)

Abstract

In this study, the spatial and temporal patterns of the land cover were monitored within the Qazaly irrigation zone located in the deltaic zone of the Syrdarya river in the surroundings of the former Aral Sea. A 16-day MODIS (Moderate Resolution Imaging Spectroradiometer) Aqua NDVI (Normalized Difference Vegetation Index) data product with a spatial resolution of 250 meters was used for this purpose, covering the period between 2003 and 2018. Field survey results obtained in 2018 were used to build a sample dataset. The random forests supervised classification machine learning algorithm was used to map land cover, which produced good results with an overall accuracy of about 0.8. Statistics on land cover change were calculated and analyzed. The correctness of obtained classes was checked with Landsat 8 (OLI, The Operational Land Imager) images. Detailed land cover maps, including rice cropland, were derived. During the observation period, the rice croplands increased, while the generally irrigated area decreased.

Suggested Citation

  • Kanat Samarkhanov & Jilili Abuduwaili & Alim Samat & Gulnura Issanova, 2019. "The Spatial and Temporal Land Cover Patterns of the Qazaly Irrigation Zone in 2003–2018: The Case of Syrdarya River’s Lower Reaches, Kazakhstan," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4035-:d:251786
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    References listed on IDEAS

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    1. Löw, Fabian & Prishchepov, Alexander V. & Waldner, François & Dubovyk, Olena & Akramkhanov, Akmal & Biradar, Chandrashekhar & Lamers, John P., 2018. "Mapping cropland abandonment in the Aral Sea Basin with MODIS time series," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(2), pages 1-24.
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    Cited by:

    1. Onggarbek Alipbeki & Chaimgul Alipbekova & Arnold Sterenharz & Zhanat Toleubekova & Saule Makenova & Meirzhan Aliyev & Nursultan Mineyev, 2020. "Analysis of Land-Use Change in Shortandy District in Terms of Sustainable Development," Land, MDPI, vol. 9(5), pages 1-16, May.
    2. Onggarbek Alipbeki & Chaimgul Alipbekova & Arnold Sterenharz & Zhanat Toleubekova & Meirzhan Aliyev & Nursultan Mineyev & Kaiyrbek Amangaliyev, 2020. "A Spatiotemporal Assessment of Land Use and Land Cover Changes in Peri-Urban Areas: A Case Study of Arshaly District, Kazakhstan," Sustainability, MDPI, vol. 12(4), pages 1-15, February.

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