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2001~2010年松木希错流域植被动态变化遥感研究 被引量:3

Temporal Variation of Vegetation in Songmuxicuo Basin as Detected by MODIS Remote Sensing during 2001~2010
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摘要 遥感在区域植被变化研究中具有十分重要的作用,能为大面积监测植被状况的演化过程提供技术支持。NDVI在高植被覆盖地区存在过饱和现象,对稀疏地区的植被变化尤其敏感。以古里雅冰帽南部的松木希错流域植被相对稀疏区域为研究区,基于MODIS NDVI数据和逐月气象观测数据,以及RS和GIS平台,对该区域2001~2010年主要植被变化趋势进行了初步研究,并对植被变化与气候驱动因子的关系进行了分析和探讨。结果表明:①2001~2010年间该区域的植被活动有加强趋势;②NDVI表明研究区植被生长季较短(5~9月),NDVI浮动区间为0.11~0.13,低于全国水平(0.3~0.35),也低于全球稀疏灌丛的平均水平(0.2~0.4);③NDVI与年均气温整体上呈正相关,而与年降水量相关性不强。表明近年来持续升温是影响该区域植被活动加强的最主要原因。 Remote sensing plays an important role in regional vegetation change research and provides new technical possibilities for global vegetation temporal and spatial variation.NDVI is supersaturated in regions with good vegetation,but is so sensitive in areas with sparse vegetation cover.We selected Songmuxicuo basin with sparse vegetation in the south of Guliya Ice Cap as our research region,and used NDVI dataset derived from imagery obtained from the Moderate Resolution Imaging Spectroradiometer(MODIS) to build the time series of vegetation change in recent 10 years based on RS and GIS technology.Then we analysed the relationship between vegetation change and climatic factors.① The change demonstrated that the area of vegetation covers increase in recent 10 years in south of Guliya Ice Cap in Tibet an Plateau.② NDVI character showed that the grow season is short,and the NDVI floating interval is 0.11~0.13,lower than nationwide level(0.3~0.35),also lower than global open shrublands mean NDVI(0.2~0.4).③ The correlation analysis between NDVI with the temperature and precipitation in the south of Guliya Ice Cap was carried out.There was significant positive correlation between NDVI and temperature and precipitation was not strong correlation relatively with NDVI in the region.It implied that the increasing temperature recent years is the mean factor to make vegetation covers increase in the region.
出处 《遥感技术与应用》 CSCD 北大核心 2011年第6期782-790,共9页 Remote Sensing Technology and Application
基金 全球变化国家重大科学研究计划(2010CB951403) 国家自然科学基金重点项目(40930526)资助
关键词 NDVI 气温 遥感 松木希错流域 NDVI Temperature Remote sensing Songmuxicuo basin
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