岷江上游小流域NDVI与环境要素的多尺度耦合关系研究

doi:10.16036/j.issn.1000-2650.2018.06.012

四川农业大学学报 ›› 2018, Vol. 36 ›› Issue (06): 792-797.doi: 10.16036/j.issn.1000-2650.2018.06.012

岷江上游小流域NDVI与环境要素的多尺度耦合关系研究

熊亚兰¹, 张科利², 朱雅晗¹, 夏丽¹

1. 四川农业大学资源学院,成都 611130;
2. 北京师范大学地理科学学部地理学院,北京 100875

收稿日期:2018-04-13 出版日期:2018-12-28 发布日期:2021-03-01
作者简介:熊亚兰,副教授,博士,主要从事3S技术在资源环境中的应用研究,E-mail：492174073@qq.com。
基金资助:
国家自然科学基金重点项目（41730748）；四川省教育厅重点项目（18ZA0375）。

Multi-Scale Coupling Relationships between NDVI and Environmental Factors in Sub-Watershed of the Minjiang River Upper Reaches

XIONG Yalan¹, ZHANG Keli², ZHU Yahan¹, XIA Li¹

1. College of Resource,Sichuan Agricultural University,Chengdu 611130,China;
2. School of Geography,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China

Received:2018-04-13 Online:2018-12-28 Published:2021-03-01

摘要/Abstract

摘要： 【目的】揭示多尺度下环境要素对植被覆盖度高低的影响程度,为生态环境保护和农业产业规划提供依据。【方法】以岷江上游干旱河谷渭门小流域为研究对象,利用该区2015年的OLI遥感影像及DEM、居民点和河流等数据,运用二维小波变换研究了该区NDVI与高程、坡度、坡向、距最近居民点距离、距最近河流距离等环境要素的多尺度耦合关系。【结果】结果表明渭门小流域NDVI的空间分布特征为东南低西北高、河谷低山地高。多尺度下坡向和NDVI的空间分布相似度最高,相关性最强,其次是高程。NDVI与地形因子相关性大小受尺度变化的影响较明显。【结论】NDVI的空间分布特征是由高程、坡度和坡向等5个环境要素共同决定,但是各要素对NDVI的控制作用大小随尺度发生改变。

关键词: 小波变换, 空间尺度, 环境要素, NDVI, 渭门小流域

Abstract: 【Objective】 The aim of the study was to reveal effects of topographic factors on vegetation coverage at multi-scales and to provide some theoretic basis and practice guide for protection of ecological environment and planning of agricultural industry. 【Method】 In this study, the correlations between normalized difference vegetation index (NDVI) and environmental factors (elevation, slope, aspect, distance to the nearest resident and distance to the nearest river) were examined at multi-scales in a small watershed of the Minjiang River Upper Reaches based on two-dimensional wavelet transform. Wavelet low-frequency coefficients could reflect the global spatial patterns of NDVI and environmental factors. The spatial distributions of low-frequency component were mapped and the regression equation of NDVI were established on the basis of two-dimension wavelet transform. 【Result】 The results showed that northwest area and hilly area of the sub-watershed had high NDVI value but southeast area and valley had low NDVI value. The spatial distribution of aspect and NDVI had high similarity and strong correlation, followed by elevation. The correlations were obviously influenced by scale change. 【Conclusion】 The spatial distribution of NDVI was determined by all environmental factors. However, the effect of each factor on NDVI varied with scale.

Key words: wavelet transform, multi-scale, environmental factors, NDVI, Weimen watershed

中图分类号:

K903

熊亚兰, 张科利, 朱雅晗, 夏丽. 岷江上游小流域NDVI与环境要素的多尺度耦合关系研究[J]. 四川农业大学学报, 2018, 36(06): 792-797.

XIONG Yalan, ZHANG Keli, ZHU Yahan, XIA Li. Multi-Scale Coupling Relationships between NDVI and Environmental Factors in Sub-Watershed of the Minjiang River Upper Reaches[J]. Journal of Sichuan Agricultural University, 2018, 36(06): 792-797.

参考文献 20

[1]	吴志杰, 何国金, 黄绍霖, 等. 南方丘陵区植被覆盖度遥感估算的地形效应评估[J]. 遥感学报, 2017, 21(1): 159-167.
[2]	成方妍, 刘世梁, 尹艺洁, 等. 基于MODIS NDVI的广西沿海植被动态及其主要驱动因素[J]. 生态学报, 2017, 37(3):788-797.
[3]	HE Y, LEEE, WARNERT A.A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR Gimms NDVI3g data[J]. Romote Sensing of Environment, 2017, 199: 201-21.
[4]	徐芝英, 胡云锋, 甄霖, 等. 基于小波的浙江省NDVI与自然-人文因子多尺度空间关联分析[J]. 地理研究, 2015, 34(3): 567-577.
[5]	胡云锋, 徐芝英. 蒙古高原地形与植被指数的特征尺度及多尺度耦合关系[J]. 地理科学, 2014, 34(12): 1511-1517.
[6]	李小梅, 沙晋明, 连江龙. 基于小波变换的NDVI区域特征尺度[J]. 生态学报, 2010, 30(11): 2864-2873.
[7]	BISWAS A, CRESSWELL H P, ROSSEL R A V, et al. Characterizing scale- and location-specific variation in non-linear soil systems using the wavelet transform[J]. European Journal of Soil Science, 2013, 64(5): 706-715.
[8]	LARK R M, WEBSTER R.Analysing soil variation in two dimensions with the discrete wavelet transform[J]. European Journal of Soil Science, 2004, 55(4): 777-797.
[9]	李恒凯, 刘小生, 李博, 等. 红壤区植被覆盖变化及与地貌因子关系: 以赣南地区为例[J]. 地理科学, 2014, 34(1): 103-109.
[10]	XIE J, LIU T.Characterization of spatial scaling relationships between vegetation pattern and topography at different directions in Gurbantunggut desert, China[J]. Ecological Complexity, 2010, 7(2): 234-242.
[11]	MARTÍNEZ B, GILABERT M A. Vegetation dynamics from NDVI time series analysis using the wavelet transform[J]. Remote Sensing of Environment, 2009, 113(9): 1823-1842.
[12]	尚政国. 多分辨率分析及其在图像处理中的应用研究[D]. 哈尔滨: 哈尔滨工程大学, 2008.
[13]	张学玲, 张莹, 牛德奎, 等. 基于TM NDVI的武功山山地草甸植被覆盖度时空变化研究[J]. 生态学报, 2017, 38(7): 2-11
[14]	甘春英, 王兮之, 李保生, 等. 连江流域植被的空间分布特征[J]. 生态学杂志, 2011, 30(4): 636-642.
[15]	蔡宏, 何政伟, 安艳玲, 等. 基于RS和GIS的赤水河流域植被覆盖度与各地形因子的相关强度研究[J]. 地球与环境, 2014, 42(4):518-524.
[16]	庞学勇, 包维楷, 吴宁. 岷江上游干旱河谷气候特征及成因[J]. 长江流域资源与环境, 2008, 17(Z1): 46-53.
[17]	LI S C, YANG Z X, GAO Y.Scale-dependent spatial relationships between NDVI and abiotic factors[J]. Journal of Resources and Ecology, 2010, 1(4): 361-367.
[18]	邱炳文, 苏簪铀, 陈崇成. 基于小波变换的武夷山自然保护区NDVI与地形因子多尺度空间相关分析[J]. 生态学杂志, 2009, 28(9): 1915-1920.
[19]	吴大千, 刘建, 王炜, 等. 黄河三角洲植被指数与地形要素的多尺度分析[J]. 植物生态学报, 2009, 33(2):237-245.
[20]	张建香, 张多勇, 张勃, 等. 黄土高原植被景观多尺度变化及其与地形的响应关系[J]. 生态学杂志, 2015, 34(3): 611-620.

岷江上游小流域NDVI与环境要素的多尺度耦合关系研究

Multi-Scale Coupling Relationships between NDVI and Environmental Factors in Sub-Watershed of the Minjiang River Upper Reaches

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 4

Metrics

本文评价

推荐阅读 10

[1]	王慧玲, 熊亚兰, 陈小凤, 刘颖. 褶皱山区NDVI与地形因子的多尺度耦合关系研究[J]. 四川农业大学学报, 2021, 39(2): 220-226.
[2]	孙守涛, 王立, 车克钧. 基于Landsat数据的白龙江上游迭部林区植被覆盖度动态变化[J]. 四川农业大学学报, 2016, 34(01): 39-47.
[3]	熊亚兰, 张科利, 杨光檄, 顾再柯. 乌江流域降雨和径流的周期变化[J]. 四川农业大学学报, 2010, 28(04): 475-479.
[4]	陈巧, 陈永富, 胡庭兴. 地表土壤湿度和植被状况的监测及其与沙尘暴发生的关系探讨[J]. 四川农业大学学报, 2005, 23(03): 295-299.