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自然资源遥感  2025, Vol. 37 Issue (3): 192-202    DOI: 10.6046/zrzyyg.2024011
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融合多源遥感数据的河南省淅川县植被动态演变研究
葛利玲1(), 王璐2()
1.河南省国土空间调查规划院,郑州 450016
2.河南理工大学测绘与国土信息工程学院,焦作 454000
Exploring the dynamic evolution of vegetation cover in Xichuan County, Henan Province by integrating multisource remote sensing data
GE Liling1(), WANG Lu2()
1. Henan Provincial National Land Space Survey and Planning Institute, Zhengzhou 450016, China
2. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
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摘要 河南省淅川县作为南水北调中线工程的重要水源区,对淅川县的植被时空变化特征及其驱动机制进行探究,将对淅川县的生态修复和南水北调中线工程水源区的环境保护具有重要意义。该研究以现有的Landsat和MODIS数据为基础,利用STARFM方法和像元二分模型,构建了2002—2022年淅川县的长时序植被覆盖度(fractional vegetation cover,FVC)数据,并结合回归趋势分析方法、地理探测器模型和相关性分析等方法,探究2002—2022年间淅川县植被的时空变化特征及其驱动机制。结果表明: ①经过STARFM方法重建后的年尺度FVC与真实的年尺度FVC的R2达到0.914,相比于数据缺失条件下的0.864,提升了0.05,因此STARFM方法可以为更加准确地开展淅川县的植被动态演变研究提供数据基础; ②2002—2022年间淅川县植被覆盖情况一般,平均FVC达到0.516,主要呈现“西北高,东南低”的分布特征,整体呈现改善趋势,改善区域的面积占比为76.03%,主要分布在淅川县的西北部和东南部,退化区域的面积占比为18.09%,主要分布在丹江口水库、丹江和淅水水域的附近区域; ③淅川县植被空间分异性的主导因素为高程和坡度,次要因素为土壤类型和平均气温,土壤质地和平均降雨量影响最小。淅川县境内植被出现改善和退化的主要原因均为人为因素,气候因素对其影响较小,人为因素主要为南水北调中线工程的实施,且对植被生长变化的促进作用远大于抑制作用。
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葛利玲
王璐
关键词 ： 淅川县,  南水北调中线工程,  时空自适应反射率融合模型,  植被覆盖度    
Abstract：

Xichuan County serves as a primary water source area for the middle route of the South-to-North Water Diversion Project. Investigating the spatiotemporal variations and driving mechanism of vegetation cover in Xichuan County is significant for the ecological restoration of the county and the environmental protection of the water source area for the middle route. Based on available Landsat and MODIS data, this study constructed long time-series fractional vegetation cover (FVC) data for Xichuan County from 2002 to 2022 using the spatiotemporal adaptive reflection fusion model (STARFM) and the dimidiate pixel model. In combination with regression and trend analyses, the geodetector model, and correlation analysis, this study explored the spatiotemporal variations and driving mechanism of vegetation cover in Xichuan County during the study period. The results indicate that the coefficient of determination (R2) between the STARFM-reconstructed and real annual-scale FVC reached 0.914, an improvement of 0.05 compared to 0.864 under conditions of data missing. Therefore, the STARFM can provide a reliable data basis for more accurately investigating the dynamic evolution of vegetation cover in Xichuan County. From 2002 to 2022, the vegetation cover in Xichuan County was ordinary, with an average FVC value of 0.516, characterized by higher vegetation cover in the northwest compared to the southeast. The vegetation cover in Xichuan County showed an overall improvement trend, with an improved area representing 76.02 %, primarily covering the northwestern and southeastern portions of Xichuan County. In contrast, the degraded area represented 23.98 %, primarily covering the areas surrounding the Danjiangkou reservoir, Danjiang River, and Xishui branch. The spatial heterogeneity of vegetation cover in Xichuan County was predominantly influenced by elevation and slope, followed by soil type and average temperature, with minimal impacts from soil texture and average rainfall. The improvement and degradation of vegetation cover in Xichuan County were principally caused by anthropogenic factors, with minimal influence from climate factors. The primary anthropogenic factor denotes the middle route of the South-to-North Water Diversion Project, which contributed significantly to vegetation growth rather than inhibitory effects.
Key words： Xichuan County    middle route of the South-to-North Water Diversion Project    spatiotemporal adaptive reflection fusion model (STARFM)    fractional vegetation cover (FVC)
收稿日期: 2024-01-04      出版日期: 2025-07-01
ZTFLH:  TP79  
通讯作者: 王璐(1999-),女,硕士研究生,主要从事资源环境遥感。Email: c17832177427@163.com。
作者简介: 葛利玲(1978-),女,高级工程师,主要从事国土空间规划、土地复垦、土地评价等。Email: geliling@163.com。
引用本文:   
葛利玲, 王璐. 融合多源遥感数据的河南省淅川县植被动态演变研究[J]. 自然资源遥感, 2025, 37(3): 192-202.
GE Liling, WANG Lu. Exploring the dynamic evolution of vegetation cover in Xichuan County, Henan Province by integrating multisource remote sensing data. Remote Sensing for Natural Resources, 2025, 37(3): 192-202.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/zrzyyg.2024011      或      https://www.gtzyyg.com/CN/Y2025/V37/I3/192
Fig.1  研究区地理位置
波段类型 Landsat4—5 TM Landsat7 ETM+ Landsat8—9 OLI
波段 波长/μm 波段 波长/μm 波段 波长/μm
近红外
(NIR)		 B4 0.76~0.90 B4 0.76~0.96 B5 0.85~0.88
红波段
(Red)		 B3 0.63~0.69 B3 0.62~0.69 B4 0.64~0.67
Tab.1  使用的Landsat数据的波段详细介绍
波段 波长/μm
B2 0.84~0.87
B1 0.62~0.67
Tab.2  使用的MOD13Q1数据
月份 2002年 2004年 2006年 2008年 2010年 2012年 2014年 2016年 2018年 2020年 2022年
4 04/02 — 04/29 04/26 04/16 — — 04/16 04/06 — —
5 05/04 05/17 05/23 05/12 05/02 — 05/29 — — — 05/03
6 06/13 — 06/16 06/05 — — — 06/27 08/14 06/30 06/28
7 07/07 07/04 — — — 09/04 07/08 07/29 — — —
8 08/16 — — — — — — — — 08/09 —
9 09/01 09/22 — 08/09 — — — 09/23 — 09/18 —
10 10/27 10/08 10/14 — — — — — — — 10/18
Tab.3  Landsat影像数据集信息
月份 2002年 2004年 2006年 2008年 2010年 2012年 2014年 2016年 2018年 2020年 2022年
4 — 04/06 — — — 04/06 04/07 — — 04/06 04/07
5 — — — — — 05/08 — 05/08 05/09 05/08 —
6 — 06/09 — — 06/10 06/09 06/10 — — — —
7 — — 07/12 07/11 07/12 — — — 07/12 07/11 07/12
8 — 08/12 08/13 08/12 08/13 08/12 08/12 08/12 08/13 — 08/13
9 — — 09/14 — 09/14 09/14 09/14 — 09/14 — 09/14
10 — — — 10/15 10/16 10/15 10/16 10/15 10/16 10/15 —
Tab.4  MODIS影像数据集信息
Fig.2  STARFM方法的有效性验证实验
Fig.3  STARFM方法的有效性验证实验的散点图
Fig.4  2002—2022年淅川县长时序FVC数据集
Fig.5  2002—2022年间淅川县植被空间分布
Fig.6  2002—2022年间淅川县FVC年际变化曲线
Fig.7  2002—2022年间淅川县FVC变化趋势
驱动因子 X1 X2 X3 X4 X5 X6
q值 0.234 0.175 0.259 0.152 0.359 0.302
Tab.5  淅川县植被空间分异性的风险因子探测结果
变化趋势的
显著性		 变化趋势的
正负		 复相关性的
显著性		 驱动因素的判断结果
P≥0.05 — — 未变化区域
P<0.05 Slope≥0 P≥0.05 人为造成的退化
P≥0.05 人为造成的改善
Slope<0 P<0.05 人为和气候造成的退化
P<0.05 人为和气候造成的改善
Tab.6  淅川县植被生长变化的驱动因素判断标准
Fig.8  淅川县植被生长变化的驱动因素判断结果
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