福建省地表温度与植被覆盖度的相关性分析

doi:10.12082/dqxxkx.2019.180316

地球信息科学学报 ›› 2019, Vol. 21 ›› Issue (3): 445-454.doi: 10.12082/dqxxkx.2019.180316

福建省地表温度与植被覆盖度的相关性分析

李娅丽¹(), 汪小钦^1,^*(), 陈芸芝¹, 王苗苗²

1. 福州大学空间数据挖掘和信息共享教育部重点实验室,卫星空间信息技术综合应用国家地方联合工程研究中心,福州 350108
2. 中国科学院地理科学与资源研究所,北京 100101

收稿日期:2018-07-04 修回日期:2019-01-02 出版日期:2019-03-15 发布日期:2019-03-15
作者简介:
作者简介：李娅丽（1992- ）,女,山东菏泽人,硕士生,研究方向为遥感信息处理与应用技术。E-mail: luckyliyali@163.com
基金资助:
国家重点研发计划项目(2017YFB0504203);中央引导地方发展专项(2017L3012);海西政务大数据应用协同创新中心资助项目

The Correlation Analysis of Land Surface Temperature and Fractional Vegetation Coverage in Fujian Province

Yali LI¹(), Xiaoqin WANG¹(), Yunzhi CHEN¹, Miaomiao WANG²

1. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China
2. Institude of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received:2018-07-04 Revised:2019-01-02 Online:2019-03-15 Published:2019-03-15
Supported by:
National Key Research and Development Program of China, No.2017YFB0504203;Central Guide Local Science and Technology Development Project, No.2017L3012;Program of Fujian Collaborative Innovation Center for Big Data Applications in Governments.

摘要/Abstract

摘要：

地表温度（Land surface Tenperature, LST）和植被覆盖度（Fractional Vegetation Coverage, FVC)是生态环境变化的重要指标因子,研究两者的时空变化及相互关系对评价区域生态环境建设、改善区域生态环境具有重要意义。本文以福建省为研究区域,利用2001-2015年MODIS 11A2 LST和13Q1 NDVI数据,在时序数据重构的基础上对福建省LST时空变化及LST与FVC的相互关系进行分析。结果表明：①2001-2015年福建省LST总体呈轻微下降趋势,尤其是2010年之后其LST明显降低。LST与FVC的空间分布具有较好的负相关一致性：在FVC较高的区域,LST值较低;在FVC较低的区域,LST较高。② LST与FVC、DEM和纬度均成负相关关系,且负相关性在一年之中随着月份的变化而呈规律性增加或降低。夏季FVC对LST的负相关性最大为0.7,冬季FVC对LST的负相关性降低为0.4。③LST随着FVC增加而降低的趋势呈现分段线性关系,存在“FVC拐点”。“FVC拐点”前后随着FVC增加LST的降低速率在夏季 “先慢后快”,而在冬季则“先快后慢”。春秋两季,LST随着FVC增加而降低的速率在“FVC拐点”前后差异变小。在夏季,当FVC大于0.4时,FVC每增加0.1可降低LST约0.77 °C,降温效果大约是FVC小于0.4时的2倍。因此如果要有效地降低夏季地表高温,要使地表植被覆盖大于40%,才能较好的发挥植被的降温的作用。④在1-8月份,FVC对LST的负相关作用存在滞后性,FVC变化对滞后一个月的LST时空分布影响更大。研究成果对福建省生态环境建设与评估具有一定的意义,对于发挥植被对区域高温抑制作用提供了重要的参考依据。

关键词: 地表温度（LST）, 植被覆盖度（FVC）, 时空变化, LST与FVC相互关系, 福建省

Abstract:

Land surface temperature (LST) and fractional vegetation coverage （FVC） are important indicators of ecological environment changes. Studying the temporal and spatial variations of LST and FVC as well as their interaction in Fujian Province are of great significance to the evaluation of ecological environment construction and improvement of regional ecological environment. In this study, the temporal and spatial variations of LST in Fujian Province and the interaction between LST and FVC are analyzed, based on the reconstruction time series data of MODIS 11A2 LST and 13Q1 NDVI from 2001-2015. The results showed that: (1) The overall LST in Fujian Province presented a slight downward trend from 2001 to 2015, and the downward trend of LST is more pronounced after 2010. The spatial distribution of LST and FVC had a good negative correlation consistency, which implies the LST value is lower in the higher area while the LST is higher in the lower FVC area. (2) LST is negatively correlated with FVC, DEM and latitude. And their negative correlation was increased or decreased regularly with the change of months in a year .The negative correlation between FVC and LST was higher in summer and became lower in winter with the correlation coefficient reduced from 0.7 to 0.4. (3) The decreasing trend of LST with the increase of FVC is piecewise linear and has an obvious "FVC inflection point". In front and behind "FVC inflection point", the decreasing trends of LST with the increase of FVC are "slowly first and fast afterwards" in summer and "fast followed by slow "in winter. Moreover, the difference of LST decreasing rate with the increase of FVC becomes smaller in spring and autumn. In summer, when FVC is greater than 0.4, the LST can reduce about 0.77 °C with FVC value increase 0.1, and the cooling effect is about twice as much as that when FVC is less than 0.4. Therefore, if we want to effectively reduce LST in summer, we should make the surface vegetation cover more than 40%。Only in this way can vegetation play a better role in cooling. (4) From January to August, the negative correlation of FVC on LST has a lag, and vegetation change has a greater impact on the spatial and temporal distribution of the next month's LST. This study has a certain significance for the construction and evaluation of ecological environment in Fujian Province, and provide an important reference for the development of vegetation to suppress regional high temperature.

Key words: Land surface temperature (LST), Fractional vegetation coverage (FVC), Temporal and spatial variation, Interrelationship between LST and FVC, Fujian province

李娅丽, 汪小钦, 陈芸芝, 王苗苗. 福建省地表温度与植被覆盖度的相关性分析[J]. 地球信息科学学报, 2019, 21(3): 445-454.DOI:10.12082/dqxxkx.2019.180316

Yali LI, Xiaoqin WANG, Yunzhi CHEN, Miaomiao WANG. The Correlation Analysis of Land Surface Temperature and Fractional Vegetation Coverage in Fujian Province[J]. Journal of Geo-information Science, 2019, 21(3): 445-454.DOI:10.12082/dqxxkx.2019.180316

图/表 14

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数据类型	数据来源	时间长度	时间精度	空间精度
LST	MODIS11A2	2001-2015年	8 d	1000 m
NDVI	MODIS13Q1	2001-2015年	16 d	250 m
DEM	SRTM数据			90 m
气温	气象站点观测	2001-2015年	逐月

站点编号	站点名	相关系数	站点编号	站点名	相关系数	站点编号	站点名	相关系数
58725	邵武	0.956	58911	长汀	0.946	59134	厦门	0.957
58730	武夷山	0.963	58918	上杭	0.930	59321	东山	0.934
58731	浦城	0.962	58921	永安	0.945	58744	寿宁	0.936
58737	建瓯	0.961	58926	漳平	0.872	58818	宁化	0.935
58754	福鼎	0.939	58931	九仙山	0.923	58837	尤溪	0.931
58820	泰宁	0.948	58933	屏南	0.937	58843	霞浦	0.936
58834	南平	0.965	58944	平潭	0.934	9113	永定	0.934
58846	宁德	0.954	59126	漳州	0.929	58927	龙岩	0.810
58847	福州	0.946	59133	崇武	0.949	58734	建阳	0.959

月份	FVC拐点	拐点之前		拐点之后
月份	FVC拐点	方程式	R²	方程式	R²
1	0.25	y=-7.26x+19.22	0.953	y=-4.61x+18.79	0.990
2	0.25	y=-6.50x+21.00	0.950	y=-4.46x+20.58	0.996
3	0.30	y=-4.24x+24.14	0.956	y=-4.79x+24.27	0.996
4	0.30	y=-3.06x+27.01	0.845	y=-5.04x+27.67	0.984
5	0.35	y=-2.64x+29.39	0.889	y=-5.69x+30.60	0.983
6	0.35	y=-2.44x+31.43	0.770	y=-6.72x+33.07	0.994
7	0.40	y=-3.18x+32.51	0.928	y=-7.71x+34.49	0.996
8	0.40	y=-3.80x+32.32	0.902	y=-7.75x+34.09	0.995
9	0.35	y=-4.27x+30.54	0.941	y=-6.65x+31.42	0.994
10	0.30	y=-5.52x+27.70	0.956	y=-5.34x+27.73	0.988
11	0.25	y=-6.23x+23.56	0.936	y=-5.11x+23.40	0.990
12	0.25	y=-6.85x+19.70	0.922	y=-4.94x+19.36	0.988

福建省地表温度与植被覆盖度的相关性分析

The Correlation Analysis of Land Surface Temperature and Fractional Vegetation Coverage in Fujian Province

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