中国地表温度时空演变规律研究

doi:10.6046/gtzyyg.2020.02.30

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摘要

地表温度(land surface temperature,LST)在农情信息监测和农业气象灾害等方面的研究中发挥着重要作用。由于云等因素的干扰,热红外LST数据中存在大量的缺失和低质量像元,因此以重建的高质量的2003—2017年MODIS LST数据为数据源,从年际、昼夜和季节不同时间尺度系统分析了15 a间中国LST的时空分布特征和长期的变化格局。结果表明: ①2003—2017年间,中国LST值变化整体呈现微弱的增温态势,平均每年增长0.011 ℃,其中63.7%的区域呈现增温趋势; ②中国的变暖趋势显著不均,总体具有“北方大于南方,西部大于东部”的特点,显著的变暖主要集中在西北地区的内蒙古高原中西部地区、西藏的南部地区以及黄淮海平原附近(变化斜率k>0.07 ℃·a^-1,R>0.6),降温幅度最大的地区集中在东北地区的松嫩平原附近(变化斜率k<-0.06 ℃·a^-1,R>0.55); ③季节尺度上,冬季变暖趋势最快,以西部地区最为显著,其次为春季,而秋季和夏季变暖趋势变化不大。

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	赵冰
	毛克彪
	蔡玉林
	孟祥金

关键词 ：地表温度, 时空变化, MODIS, 中国

Abstract：

Land surface temperature (LST) is a key parameter in the surface environment and atmospheric energy exchange system, and it plays an important role in agricultural information monitoring and agro-meteorological disaster research. Due to the interference of factors such as clouds, there are a large number of missing and low-quality pixels in the thermal infrared surface temperature data. Therefore, this study used reconstructed high-quality MODIS surface temperature data as the data source, from 2003 to 2017 year, day and night and season. The spatial and temporal distribution characteristics and long-term variation pattern of China’s surface temperature during 15 years were analyzed systematically on different time scales. The results are as follows: ①During the period of 2003—2017, the surface temperature change in China showed a slight increase in temperature, with an average annual increase of 0.011 ℃, of which 63.7% showed a trend of warming. ②In addition, China’s warming trend is significantly uneven, with the overall characteristics of “the north is greater than the south and the west is greater than the east”. The significant warming is mainly concentrated in the central and western parts of the Inner Mongolia Plateau in the northwestern region, the southern part of Tibet, and the Huanghuaihai Plain (slope k>0.07 ℃·a^-1, R>0.6). In addition, the region with the largest temperature drop is concentrated in the vicinity of the Songnen Plain in the northeastern region (change slope k<-0.06 ℃·a^-1, R>0.55). ③On the seasonal scale, the warming trend in winter is the fastest, with the most significant in the western region, followed by spring, while the warming trend in autumn and summer does not change much.

Key words： land surface temperature time and space change MODIS China

收稿日期: 2019-10-15 出版日期: 2020-06-18

TP79

基金资助:国家重点研发计划项目“气象灾害致灾条件、影响评估及风险防范技术”(2019YFC1510203);“多源气象资料融合技术研究与产品研制”(2018YFC1506602);中央级公益性科研院所基本科研业务费专项资金(1610132020014)

通讯作者: 毛克彪

作者简介: 赵冰(1994-),女,硕士研究生,主要从事农业遥感方面的研究。Email: zhaobing_598@163.com。

引用本文:

赵冰, 毛克彪, 蔡玉林, 孟祥金. 中国地表温度时空演变规律研究[J]. 国土资源遥感, 2020, 32(2): 233-240.
Bing ZHAO, Kebiao MAO, Yulin CAI, Xiangjin MENG. Study of the temporal and spatial evolution law of land surface temperature in China. Remote Sensing for Land & Resources, 2020, 32(2): 233-240.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2020.02.30 或 https://www.gtzyyg.com/CN/Y2020/V32/I2/233

Fig.1 数据重建流程

Fig.2 重建后的LST数据与地面站点数据之间的相关性

Fig.3 2003—2017年中国LST的空间分布和距平指数变化
(图3(a)基于国家测绘地理信息局标准地图服务网站下载的审图号为 GS(2016)2885号的标准地图制作,底图无修改)

Fig.4 2003—2017年LST年际变化率和相关系数的空间分布
(图4基于国家测绘地理信息局标准地图服务网站下载的审图号为 GS(2016)2885号的标准地图制作,底图无修改)

Fig.5 2003—2017年LST年际昼、夜变化趋势和相关系数
(图5基于国家测绘地理信息局标准地图服务网站下载的审图号为 GS(2016)2885号的标准地图制作,底图无修改)

Fig.6 2003—2017年LST季节变化斜率和相关系数
(图6基于国家测绘地理信息局标准地图服务网站下载的审图号为 GS(2016)2885号的标准地图制作,底图无修改)

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