基于基线遥感生态指数的鄂尔多斯市生态质量分析

doi:10.12118/j.issn.1000－6060.2023.162

干旱区地理 ›› 2024, Vol. 47 ›› Issue (2): 248-259.doi: 10.12118/j.issn.1000－6060.2023.162

基于基线遥感生态指数的鄂尔多斯市生态质量分析

薛华柱¹(), 袁茜¹, 董国涛¹^,²^,³(), 姚楠¹, 张晴¹

1.河南理工大学测绘与国土信息工程学院，河南焦作 454000
2.黑河水资源与生态保护研究中心，甘肃兰州 730030
3.黄河水利委员会黄河水利科学研究院，河南郑州 450003

收稿日期:2023-04-13 修回日期:2023-07-15 出版日期:2024-02-25 发布日期:2024-03-14
通讯作者: 董国涛（1982-），男，正高级工程师，主要从事水文水资源遥感等方面的研究. E-mail: dongguotao@hhglj.yrcc.gov.cn
作者简介:薛华柱（1977-），男，副教授，主要从事地表参数定量遥感反演等方面的研究. E-mail: xhz@hpu.edu.cn
基金资助:
国家自然科学基金(51779099);国家重点研发计划项目(2016YFC0402400);河南省科技攻关项目(232102320247)

Ecological quality analysis of Ordos City based on the baseline remote sensing ecological index

XUE Huazhu¹(), YUAN Qian¹, DONG Guotao¹^,²^,³(), YAO Nan¹, ZHANG Qing¹

1. School of Surveying, Mapping and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China
2. Heihe Water Resources and Ecological Protection Research Center, Lanzhou 730030, Gansu, China
3. Yellow River Conservancy Research Institute, Yellow River Conservancy Commission, Zhengzhou 450003, Henan, China

Received:2023-04-13 Revised:2023-07-15 Published:2024-02-25 Online:2024-03-14

摘要/Abstract

摘要：

鄂尔多斯市是黄河流域重要的草原荒漠过渡带和农牧交错带，研究其生态质量变化对支持黄河流域生态保护和高质量发展具有重要意义。以MODIS遥感影像为数据源，通过改进常规归一化及主成分方法，计算鄂尔多斯市基线遥感生态指数（Baseline remote sensing ecological index，B_RSEI），分析该区域2001—2019年的生态质量时空变化特征。结果表明：（1） B_RSEI具有稳定的方向性和整体性，能更好地反映生态质量长时序变化，2001—2019年鄂尔多斯市B_RSEI呈现起伏增长和东高西低的空间分异性。（2）地表含水量指数是促进B_RSEI的主要因素，是解释B_RSEI分布的主要单因子，地表温度是抑制B_RSEI的主要因素，其交互作用最大。（3）鄂尔多斯生态质量以改善为主，占总面积的67.13%，准格尔旗、康巴什区、伊金霍洛旗地区生态治理效果显著。研究表明鄂尔多斯市生态质量整体改善，B_RSEI有利于分析生态质量年际变化，为鄂尔多斯市生态治理和黄河流域高质量发展提供参考依据。

关键词: 生态质量, 基线遥感生态指数, 主成分分析, 鄂尔多斯市

Abstract:

Ordos City is an important steppe desert and agropastoral ecotone in the Yellow River Basin, China. Studying the changes in ecological quality in Ordos City is important for supporting the ecological conservation and high-quality development of the Yellow River Basin. Herein, the remote sensing imagery of a moderate-resolution imaging spectroradiometer was used as a data source to calculate the baseline remote sensing ecological index (B_RSEI) of Ordos City by improving the conventional normalization and principal component analysis. This study also analyzes the characteristics of ecological quality changes from 2001 to 2019. The results indicate the following: (1) B_RSEI exhibits stable directionality and integrity, offering an enhanced reflection of long-term changes in ecological quality. From 2001 to 2019, B_RSEI of Ordos City showed a fluctuating increase and a spatial differentiation of higher in the east and lower in the west. (2) The surface water content index (SWCI) is the primary factor promoting B_RSEI and serves as the main factor explaining the B_RSEI distribution. The land surface temperature (LST) is the main factor inhibiting B_RSEI, with its most substantial interaction. (3) The ecological quality of Ordos City has improved, covering 67.13% of the total area, with notable ecological management effects in the Jungar Banner, Kangbashen District, and Ejin Horo Banner areas. This study demonstrates an overall improvement in the ecological quality of Ordos City, emphasizing the usefulness of B_RSEI in analyzing interannual changes. This could provide a reference for the ecological governance of the Ordos City and high-quality development of the Yellow River Basin.

Key words: ecological quality, B_RSEI, principal component analysis, Ordos City

薛华柱, 袁茜, 董国涛, 姚楠, 张晴. 基于基线遥感生态指数的鄂尔多斯市生态质量分析[J]. 干旱区地理, 2024, 47(2): 248-259.

XUE Huazhu, YUAN Qian, DONG Guotao, YAO Nan, ZHANG Qing. Ecological quality analysis of Ordos City based on the baseline remote sensing ecological index[J]. Arid Land Geography, 2024, 47(2): 248-259.

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指标	PC1	PC2	PC3	PC4
EVI	0.47	0.40	0.44	0.65
SWCI	0.50	0.29	0.32	-0.75
NDBSI	-0.42	-0.34	0.84	-0.06
LST	-0.59	0.80	0.02	-0.07
特征值	0.0545	0.0099	0.0022	0.0013
贡献率/%	80.35	14.53	3.22	1.90

交互因子	2001年	2010年	2019年	交互因子	2001年	2010年	2019年
SWCI∩EVI	0.94	0.89	0.93	NDBSI∩降水量	0.90	0.88	0.92
SWCI∩NDBSI	0.94	0.90	0.94	NDBSI∩人口	0.87	0.82	0.87
SWCI∩LST	0.97	0.97	0.97	NDBSI∩高程	0.88	0.87	0.88
SWCI∩降水量	0.94	0.93	0.94	NDBSI∩GDP	0.85	0.78	0.85
SWCI∩人口	0.91	0.88	0.91	LST∩降水量	0.82	0.82	0.84
SWCI∩高程	0.93	0.88	0.91	LST∩人口	0.80	0.82	0.83
SWCI∩GDP	0.90	0.85	0.90	LST∩高程	0.81	0.83	0.84
EVI∩NDBSI	0.92	0.92	0.92	LST∩GDP	0.79	0.81	0.83
EVI∩LST	0.97	0.97	0.98	降水量∩人口	0.52^**	0.58	0.62
EVI∩降水量	0.88	0.89	0.91	降水量∩高程	0.54^**	0.60	0.63
EVI∩人口	0.87	0.87	0.89	降水量∩GDP	0.34^**	0.46	0.52
EVI∩高程	0.88	0.86	0.88	人口∩高程	0.52	0.53	0.51
EVI∩GDP	0.86	0.85	0.88	人口∩GDP	0.34	0.41	0.44
NDBSI∩LST	0.96	0.94	0.96	高程∩GDP	0.37	0.31	0.30

基于基线遥感生态指数的鄂尔多斯市生态质量分析

Ecological quality analysis of Ordos City based on the baseline remote sensing ecological index

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