| CG-LTDR卫星气候数据集及其在中亚地区的应用* |
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| 引用本文： | 张艳,唐世浩.CG-LTDR卫星气候数据集及其在中亚地区的应用*[J].新疆气象,2017,11(2):21-26. |
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| 作者姓名： | 张艳 唐世浩 |
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| 作者单位： | 国家卫星气象中心,国家卫星气象中心 |
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| 基金项目： | 国家重点基础研究发展规划项目;国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 摘 要： | 全球及中国区域长时间序列卫星数据集(CG-LTDR)包括地表反照率、叶面积指数、土地覆盖分类、植被指数和积雪覆盖产品。为了应用CG-LTDR和其他卫星气候数据,基于WEBGIS技术建立了CG-LTDR系统,实现对卫星气候数据集的在线管理和显示分析功能。本文介绍了CG-LTDR卫星气候数据集及显示分析系统,并利用NDVI数据对中亚及周边核心区的植被状况和长期变化进行分析。结果表明:哈萨克斯坦、吉尔吉斯斯坦和塔吉克斯坦地区及新疆西部和北部植被平均状况较好。中亚地区的植被在20世纪90年代和2000年代整体状况较好,20世纪80年代相对较差,2010年后空间变化不均。特别是从21世纪开始我国西部沙漠化程度加重,一些地区地表植被严重破坏,生态环境变化不容乐观。由于中亚地区常规观测少,利用CG-LTDR卫星气候数据集对中亚地区进行应用具有很好的意义,CG-LTDR可以为农牧资源和生态环境提供有效信息。
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| 关 键 词： | 卫星气候数据 中亚 植被变化 |
| 收稿时间： | 2016/11/21 0:00:00 |
| 修稿时间： | 2017/2/14 0:00:00 |
CG-LTDR and its application in the Central Asian |
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| ZHANGYAN and TANG SHIHAO.CG-LTDR and its application in the Central Asian[J].Bimonthly of Xinjiang Meteorology,2017,11(2):21-26. |
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| Authors: | ZHANGYAN and TANG SHIHAO |
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| Institution: | National Satellite meteorological Center,National Satellite meteorological Center |
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| Abstract: | CG-LTDR(China and Global long-term data records) are satellite climate dataset of land surface products, which include surface albedo, Leaf area index (LAI), landcover, Normal difference vegetation index(NDVI) and snowcover. In addition, The CG-LTDR system is an online platform based on WEBGIS technology, which is built for applications of CG-LTDR and other satellite-based climate dataset. And, this system can fulfill multi-function purpose of management, visualization and analysis for satellite data records. In this paper, CG-LTDR and system are introduced for application to many users, and the example about vegetation variations in the central Asia and surrounding area is described using NDVI. The results showed that vegetation climatological conditions in the Kazakhstan, Kyrgyzstan, Tajikistan and the North and West of Xinjiang province are better than the other places of the Central Asia. As for the time variations, the vegetation in the Central Asia had below climatological average in 1980s and 2000s, while it was above climatological average in 1990s, and after 2010 year, vegetation changes became very uniform in geography. It is not neglected that the ecological environmental change was not optimistic, because sandy desertification was severe and surface vegetation of some regions was destroyed from 21st century in Western china. Therefore, application of CG-LTDR satellite data has very good meanings for the central Asia due to lack of the conventional observations. It is proved that CG-LTDR can provide useful information to agriculture and animal husbandry and resources, as well as ecological environment. |
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| Keywords: | satellite climate data Central Asia Vegetation variation |
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