| 基于MODIS NDVI和气候信息的草原植被变化监测 |
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| 引用本文： | 陈燕丽,龙步菊,潘学标,莫伟华.基于MODIS NDVI和气候信息的草原植被变化监测[J].应用气象学报,2010,21(2):229-236. |
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| 作者姓名： | 陈燕丽 龙步菊 潘学标 莫伟华 |
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| 作者单位： | 1.中国农业大学资源与环境学院农业气象系，北京 100094 |
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| 基金项目： | 国家自然科学基金，广西自然科学基金 |
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| 摘 要： | 对植被的动态监测可以从一定程度上反映气候变化趋势。该文利用2000—2005年MODIS NDVI数据对锡林郭勒盟典型草原植被变化进行动态监测,在此基础上,以降水量、水汽压、平均气温、最高气温、最低气温、日照时数作为气候指标,分析锡林郭勒盟典型草原和荒漠草原MODIS NDVI与同期及前期气候因子的相关性,探讨草原植被变化的气候驱动因子。结果表明:2000—2005年锡林郭勒盟植被改善面积大于退化面积,植被退化面积最大的区域为荒漠草原,占全盟面积的12.84%,植被改善面积最大的区域为典型草原,占全盟面积29.09%。4类草原改善趋势由强到弱的顺序为草甸草原、典型草原、沙地草原、荒漠草原。对于典型草原,其NDVI与最高气温关系最密切,其次为水汽压;对于荒漠草原,其NDVI与最高气温关系最为密切,其次为最低气温。此外,NDVI对气候因子的响应表现出明显的时滞效应。
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| 关 键 词： | NDVI 植被变化 气候变化 锡林郭勒盟 |
| 收稿时间： | 2009-06-23 |
| 修稿时间： | 2/5/2010 12:00:00 AM |
Grassland Vegetation Change Based on MODIS NDVI Data and Climate Information |
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| Chen Yanli,Long Buju,Pan Xuebiao and Mo Weihua.Grassland Vegetation Change Based on MODIS NDVI Data and Climate Information[J].Quarterly Journal of Applied Meteorology,2010,21(2):229-236. |
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| Authors: | Chen Yanli Long Buju Pan Xuebiao and Mo Weihua |
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| Institution: | 1.College of Resourcesand Environment, China Agricultural University, Beijing 1000942.Guangxi Meteorological Disaster Mitigation Institute, Nanning 530022 |
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| Abstract: | Monitoring vegetation change is an important aspect to study global climate change. The Normalized Difference Vegetation Index (NDVI) is the most frequently-used vegetation index to discuss environmental change. It's common to study vegetation change using the NOAA Advanced Very High Resolution Radi-ometer (AVHRR) data which are available for more than 20 years, and the EOS-Moderate Resolution Im-aging Spectroradiometer (MODIS) data with improved quality are also widely used now. MODIS NDVI dataset during 2000-2005 in Xilingol are analyzed.Precipitation, vapor pressure, mean temperature, max temperature, rain temperature, hours of sunshine are taken as climatic elements to explore the relationship between MODIS NDVI and climatic factors over different types of grassland. Due to the narrow spectra bands of infrared and near-infrared satellite sensors, MODIS NDVI is sensitive for dynamically monitoring the four types of steppe: Meadow steppe, typical steppe, sandy steppe,desert steppe. As the water conditions of these four typical grassland vary widely, their spectral responses are also significantly different. The vegetation increases on the whole in Xilingol during the period of 2000 to 2005. Desert steppe decreases while typical steppe increases for the research area. The global warming trend is obvious in Xilin-gol. Although the rain doesn't increase much from 2000 to 2005, the grassland grows for the meadow steppe and the typical steppe, promoted by the increasing temperature and better water conditions. For the sandy steppe and the desert steppe where water conditions are poor, as the increasing temperature accelerates water evaporation, the vegetation degradation occurs as a result of the worse environment.MODIS NDVI series exhibit obvious correlation with climatic factors. For typical steppe, max tem-perature is the most related factor with NDVI, and vapor pressure is the second. For desert steppe, max temperature is the most related factor with NDVI, and rain temperature is in the second place. Responses of MODIS NDVI to climatic factors lag in time obviously. The lag time for all climatic factors is -1 stage for typical steppe, and for desert steppe, the lag time for both water and mean temperature climatic factors is -1 stage, while the lag time is inconsistent for max temperature and min temperature, which may be caused by the differences of soil texture and vegetation types. |
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| Keywords: | NDVI NDVI vegetation change climate change Xilingol |
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