| 利用遥感和常规资料对比研究中国地面温度变化 |
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| 引用本文： | 延昊,王长耀,牛铮,陈永华.利用遥感和常规资料对比研究中国地面温度变化[J].气候与环境研究,2001,6(4):448-455. |
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| 作者姓名： | 延昊 王长耀 牛铮 陈永华 |
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| 作者单位： | 中国科学院遥感应用研究所遥感信息科学开放实验室,北京,100101 |
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| 摘 要： | 采用一个在大区域上适用的由NOAA-AVHRR遥感数据反演地表温度的方法,反演中国20世纪80年代初到90年代初各月和全年晴空条件下的地表温度,通过比较同期的常规气象监测数据,对这一时期的中国地表温度变化进行了对比分析,得到全国各地区温度宏观变化规律和分布.结果表明:晴空条件下的中国地表温度与气温和地温的宏观变化规律是基本一致的,这一结果对于研究全球变化对中国的影响以及中国土地覆盖的变化趋势具有重要的指示意义.
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| 关 键 词： | 遥感 地表温度 |
| 修稿时间： | 2000年5月16日 |
Comparative Studies of China Temperature Change by Using Remote Sensing and Traditional Data |
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| Yan Hao,Wang Changyao,Niu Zheng and Chen Yonghua.Comparative Studies of China Temperature Change by Using Remote Sensing and Traditional Data[J].Climatic and Environmental Research,2001,6(4):448-455. |
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| Authors: | Yan Hao Wang Changyao Niu Zheng and Chen Yonghua |
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| Abstract: | Temperature change is the hotspot of global change research, In addition to air tempera-ture, land surface temperature (LST) is also an important way to study global change. Moreover, as a major solution to retrieve LST from NOAA-AVHRR data on a large scale, split-window algorithm is used to calculate yearly and monthly LST over China from 1982 to 1992. By comparing with air tem-perature and ground temperature of the same period, authors analyze land temperature change over China and get some spatial and temporal variation features. The result of this paper shows that: (1) spa-tial variation of cloudless LST in China is consistent with that of air temperature and ground tempera-ture; (2) from the beginning of the 1980s to the beginning of the 1990s, different region has different property of temperature change, some parts increase, and some parts decrease. Furthermore the same region in different season probably has different property of temperature change, the temperature in-creases in January, but decreases in July; (3) the increase value and the corresponding area of annual LST have a good positive correlation. It is indicated that using thermal infrared bands of NQAA-AVHRR is an effective way to study land temperature change. |
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| Keywords: | remote sensing land surface temperature |
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