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Remote Sensing for Natural Resources    2023, Vol. 35 Issue (3) : 201-211     DOI: 10.6046/zrzyyg.2022194
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Spatio-temporal changes and influencing factors of ecological environments in oasis cities of arid regions
PARIHA Helili1(), ZAN Mei1,2()
1. College of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China
2. Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Urumqi 830054, China
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Abstract  

Cities are core areas for human life and production. The ecological environment quality is a growing concern in cities, especially cities with fragile ecological environments in arid regions. This study selected 2 study areas from two typical oasis cities, namely Urumqi City in northern Xinjiang and Kashgar City in southern Xinjiang. It compared the spatio-temporal changes in the ecological environment quality of the two study areas in 2000, 2010, and 2020 using two urban remote sensing-based ecological indices (RSEIs) constructed based on the Google Earth Engine (GEE). Furthermore, it quantitatively analyzed the factors influencing the RESIs of the two cities using the random forest model. The results are as follows: ① Over the past 20 years, the ecological environment quality in study area 1 worsened but that in study area 2 improved overall. In study area 1, the ecological environment improved mainly in the old urban area and deteriorated in the newly built area at the periphery of the urban area. In study area 2, the ecological environment significantly improved in the northeastern part and deteriorated in the newly built area around the city center. ② The fractional vegetation cover is the most critical factor influencing RESIs of both study areas, followed by temperature and precipitation. These influencing factors had different influences on the RSEIs of the two study areas. ③ The primary reasons for the deterioration of the ecological environment in study area 1 included the expanded urban scale, the increased impervious surfaces, and the decreased fractional vegetation cover in the past 20 years are. In contrast, urbanization and green and healthy urban development pattern jointly played a significant role in improving the ecological environment quality in study area 2. The results of this study can provide a scientific basis for healthy urban development in both study areas.
Keywords Urumqi City      Kashgar City      RSEI      GEE      random forest     
ZTFLH:  TP79  
Issue Date: 19 September 2023
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Helili PARIHA
Mei ZAN
Cite this article:   
Helili PARIHA,Mei ZAN. Spatio-temporal changes and influencing factors of ecological environments in oasis cities of arid regions[J]. Remote Sensing for Natural Resources, 2023, 35(3): 201-211.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022194     OR     https://www.gtzyyg.com/EN/Y2023/V35/I3/201
Fig.1  Location of the study area
Fig.2  Correlation coefficient and correlation test among RSEI, WET, NDBSI, NDVI and LST in 2020
研究区 年份 NDVI WET LST NDBSI RSEI
平均值 标准差 平均值 标准差 平均值 标准差 平均值 标准差
研究区1 2000年 0.32 0.16 0.62 0.19 0.70 0.14 0.79 0.13 0.38
2010年 0.36 0.19 0.57 0.21 0.70 0.18 0.74 0.16 0.36
2020年 0.24 0.18 0.48 0.18 0.74 0.14 0.73 0.15 0.34
研究区2 2000年 0.37 0.31 0.48 0.27 0.48 0.25 0.69 0.30 0.37
2010年 0.36 0.29 0.53 0.25 0.39 0.22 0.66 0.27 0.40
2020年 0.27 0.20 0.53 0.25 0.53 0.26 0.60 0.28 0.41
Tab.1  Change in 4 indicators and RSEI in each year of the two study areas
研究区 年份 差 较差 中等 良好 优
研究
区1		 2000年 14.75 44.09 30.41 7.63 1.84
2010年 20.53 41.55 24.76 9.86 3.29
2020年 19.51 46.92 22.64 8.12 2.81
研究
区2		 2000年 44.30 11.21 15.99 16.36 12.13
2010年 36.63 15.57 16.48 23.44 7.88
2020年 33.27 19.74 15.72 16.64 14.63
Tab.2  Statistic of ecological grades and area rations in each year (%)
Fig.3  Spatial distribution of RSEI value classes of the two study areas
研究区 类别 级差 2000—2010年 2010—2020年 2000—2020年
面积/km2 比例/% 面积/km2 比例/% 面积/km2 比例/%
研究区1 变差 -3,-2,-1 1 399.19 10.14 2 694.28 20.36 2 584.41 19.53
不变 0 10 547.88 76.47 9 933.21 75.06 8 992.78 67.96
变好 1,2,3 1 845.92 13.38 605.46 4.58 1 655.81 12.51
研究区2 变差 -3,-2,-1 93.07 16.92 90.37 16.49 112.26 20.49
不变 0 257.78 46.86 272.22 49.69 213.48 38.97
变好 1,2,3 199.20 36.21 185.21 33.81 222.10 40.54
Tab.3  Detection of the change of RSEI level of the two study areas from 2000 to 2020
Fig.4  Change detection of RSEI of the two study areas from 2000 to 2020
Fig.5  Importance ranking of influencing factors
Fig.6  Partial dependency of the study area 1 for the factors in the RSEI
Fig.7  Partial dependency of the study area 2 for the factors in the RSEI
Fig.8  RSEI levels proportions of different land-use types in 2000 and 2020
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