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Evaluation of the Ecological Environment Quality of the Kuye River Source Basin Using the Remote Sensing Ecological Index

Author

Listed:
  • Qiang Liu

    (College of Resources and Environmental Engineering, Tianshui Normal University, Tianshui 741000, China)

  • Feihong Yu

    (College of Resources and Environmental Engineering, Tianshui Normal University, Tianshui 741000, China)

  • Xingmin Mu

    (State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China)

Abstract

Landsat remote sensing images obtained from 2000, 2005, 2010, 2015, and 2020 were analyzed. The normalized vegetation index (NDVI), moisture index (WET), land surface temperature (LST), and normalized building-soil index (NDBSI) were extracted based on the four aspects of greenness, humidity, heat, and dryness. The Remote Sensing Ecological Index (RSEI) was calculated using principal component analysis to quantitatively analyze and dynamically monitor and evaluate the ecological environment changes in the Kuye River Basin over the past 20 years. From the perspective of spatial and temporal distribution, the ecological and environmental quality of Kuye River Basin had a downward trend from 2000 to 2020. The overall RSEI grade was medium or poor, and the average RSEI decreased. The proportion of excellent and good grade watershed areas decreased, whereas that of medium, low, and poor grade watershed areas increased over the study period. Spatially, RSEI decreased gradually from southeast to northwest. The degraded areas were mainly distributed in urban areas with frequent human activities. Conversely, the superior eco-environmental quality areas were mainly distributed in eastern sections of the watershed. Compared with 2000, the eco-environmental quality of the Yulin urban area and Shenmu County in the southern section of the watershed are worsening.

Suggested Citation

  • Qiang Liu & Feihong Yu & Xingmin Mu, 2022. "Evaluation of the Ecological Environment Quality of the Kuye River Source Basin Using the Remote Sensing Ecological Index," IJERPH, MDPI, vol. 19(19), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12500-:d:930477
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    References listed on IDEAS

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    1. Ming Zhang & Jinpeng Wang & Runjuan Zhou, 2020. "Sustainable effect of coal mining on hydrological drought risk: a case study on Kuye river basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2929-2943, September.
    2. Guo, Beibei & Fang, Yelin & Jin, Xiaobin & zhou, Yinkang, 2020. "Monitoring the effects of land consolidation on the ecological environmental quality based on remote sensing: A case study of Chaohu Lake Basin, China," Land Use Policy, Elsevier, vol. 95(C).
    3. Congjian Sun & Xiaoming Li & Wenqiang Zhang & Xingong Li, 2020. "Evolution of Ecological Security in the Tableland Region of the Chinese Loess Plateau Using a Remote-Sensing-Based Index," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    4. Yongbin Zhang & Tanglei Song & Jihao Fan & Weidong Man & Mingyue Liu & Yongqiang Zhao & Hao Zheng & Yahui Liu & Chunyu Li & Jingru Song & Xiaowu Yang & Junmin Du, 2022. "Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin," IJERPH, MDPI, vol. 19(13), pages 1-22, June.
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    Cited by:

    1. Lina Tang & Alimujiang Kasimu & Haitao Ma & Mamattursun Eziz, 2023. "Monitoring Multi-Scale Ecological Change and Its Potential Drivers in the Economic Zone of the Tianshan Mountains’ Northern Slopes, Xinjiang, China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Yichen Fang & Lianhai Cao & Xinyu Guo & Tong Liang & Jiyin Wang & Ning Wang & Yue Chao, 2024. "Spatio-Temporal Heterogeneity of the Ecological Environment and Its Response to Land Use Change in the Chushandian Reservoir Basin," Sustainability, MDPI, vol. 16(4), pages 1-21, February.

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