Evaluation of Ecological in Arid Region based on Upgraded Remote Sensing Ecological Index:Taking Shiyang River Basin as An Example

Bingbing CHEN; Yingchun GE; Shengtang WANG; Chunlin HUANG

doi:10.11873/j.issn.1004-0323.2025.2.0472

Remote Sensing Technology and Application, Volume. 40, Issue 2, 472(2025)

Evaluation of Ecological in Arid Region based on Upgraded Remote Sensing Ecological Index:Taking Shiyang River Basin as An Example

Bingbing CHEN, Yingchun GE^*, Shengtang WANG, and Chunlin HUANG

Author Affiliations

Key Laboratory of Remote Sensing of Gansu Province，Heihe Remote Sensing Experimental Research Station， Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences， Lanzhou730000，China

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Figures & Tables(13)

Fig. 1. Study area location and elevation

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Fig. 2. Technique flow chart

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Fig. 3. Change trend of URSEI from 2000 to 2019 and proportion of URSEI levels in different years

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Fig. 4. Spatial distribution of ecological levels during 2000~2018

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Fig. 5. Spatio-temporal change distribution of ecological qualityin Shiyang River Basin during 2000~2018

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Fig. 6. Persistence of change distribution in Shiyang River Basin during 2000~2018

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Fig. 7. The mean value changes of URSEI and RSEI during 2000~2018

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Fig. 8. Spatial differences of URSEI and RSEI in Shiyang Basin River

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Fig. 9. 3D-scatterplots of features space

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Table 1. Table 1Calculation of ecological environmental indicators

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Table 1. Table 1Calculation of ecological environmental indicators

指标	计算公式	参数含义
NDVI	基于MOD13A1影像集提取	—
Wet^[28]	$W e t = 0.1147 ρ_{1} + 0.2489 ρ_{2} + 0.2408 ρ_{3} + 0.3132 ρ_{4} - 0.3122 ρ_{5} - 0.6416 ρ_{6} - 0.5087 ρ_{7}$ （2）	ρ₁~ρ₇别为MODIS影像Red、NIR1、Blue、Green、NIR2、SWIR1、SWIR2波段
SC	$\begin{array}{l} S E_{p} = R \cdot L \cdot S \cdot K \\ S E_{a} = R \cdot L \cdot S \cdot K \cdot C \cdot P \\ S C = S E_{p} - S E_{a} \end{array}$ （3）	SEp、SEa分别是潜在年土壤流失量、实际年土壤流失量，R为降雨侵蚀因子；K为土壤可蚀因子；L、S 为地形因子；C 为土地覆盖管理因子；P 为水土保持措施因子
NDBSI	$\begin{array}{l} S I = [(ρ_{1} + ρ_{6}) - (ρ_{2} + ρ_{3})] / [(ρ_{1} + ρ_{6}) + (ρ_{2} + ρ_{3})] \\ B I = \frac{2 ρ_{6} / (ρ_{2} + ρ_{6}) - [ρ_{2} / (ρ_{1} + ρ_{2}) + ρ_{4} / (ρ_{4} + ρ_{6})]}{2 ρ_{6} / (ρ_{2} + ρ_{6}) + [ρ_{2} / (ρ_{1} + ρ_{2}) + ρ_{4} / (ρ_{4} + ρ_{6})]} \\ N D B S I = (S I + I B I) / 2 \end{array}$ （4）	ρ₁~ρ₇别为MODIS影像Red、NIR1、Blue、Green、NIR2、SWIR1、SWIR2波段
LST	基于MOD11A2影像集Land Surface Temp and Emiss数据提取	—
SI-T	$S I - T = 100 \times (ρ_{1} / ρ_{2})$ （5）	ρ_1、ρ₂别为MODIS影像数据的Red、NIR1波段

Table 2. Table 2The result of principal component analysis

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Table 2. Table 2The result of principal component analysis

PC1	NDVI	Wet	SC	LST	NDBSI	SI-T	特征值	贡献率 /%
均值	0.511	0.374	0.166	-0.438	-0.449	-0.420	0.172	85.16
2000年	0.523	0.322	0.180	-0.478	-0.407	-0.443	0.145	82.99
2006年	0.496	0.384	0.161	-0.438	-0.463	-0.418	0.178	85.20
2012年	0.504	0.383	0.169	-0.414	-0.485	-0.405	0.196	86.57
2018年	0.522	0.407	0.155	-0.417	-0.439	-0.414	0.170	85.88

Table 3. Table 3Correlation matrix of URSEI and six factors of 2000

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Table 3. Table 3Correlation matrix of URSEI and six factors of 2000

2000年	NDVI	Wet	SC	LST	NDBSI	SI-T	URSEI
平均相关度	0.78	0.72	0.48	0.77	0.75	0.79	0.84
NDVI	1	0.75	0.48	-0.82	-0.89	-0.98	0.96
Wet	0.75	1	0.44	-0.79	-0.87	-0.77	0.87
SC	0.48	0.43	1	-0.65	-0.34	-0.47	0.56
LST	-0.82	-0.79	-0.65	1	0.76	0.83	-0.92
NDBSI	-0.89	-0.87	-0.34	0.76	1	0.9	-0.93
SI-T	-0.98	-0.77	-0.47	0.83	0.90	1	-0.97

Table 4. Table 4Average correlation between URSEI and six factors in different years
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Table 4. Table 4Average correlation between URSEI and six factors in different years
年份 NDVI Wet SC LST NDBSI SI-T URSEI
平均值 0.80 0.77 0.48 0.79 0.77 0.79 0.85
2000 0.78 0.72 0.48 0.77 0.75 0.77 0.84
2006 0.81 0.78 0.46 0.80 0.77 0.79 0.85
2012 0.80 0.80 0.51 0.80 0.80 0.81 0.85
2018 0.81 0.79 0.48 0.79 0.78 0.80 0.86

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Bingbing CHEN, Yingchun GE, Shengtang WANG, Chunlin HUANG. Evaluation of Ecological in Arid Region based on Upgraded Remote Sensing Ecological Index:Taking Shiyang River Basin as An Example[J]. Remote Sensing Technology and Application, 2025, 40(2): 472

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