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首页> 外文会议>第六届国际数字地球会议论文集 >Monitoring vegetation water content with MODIS data in Changbai Mountain Nature Reserve
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Monitoring vegetation water content with MODIS data in Changbai Mountain Nature Reserve

机译：利用MODIS数据监测长白山自然保护区植被含水量

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摘要

Timely and accurate assessment of vegetation water status with remote sensing techniques helps to understand the role of terrestrial vegetation in ecological processes and its characteristics, which are crucial for monitoring and modeling ecosystems. Moreover, the determination of vegetation water content is of interest and significant for drought assessment and prediction of susceptibility to wildfire. Changbai Mountain area, Northeast China has the largest protected temperate forest in the world. In this study, we used 8-day composite MODIS products and Global Vegetation Moisture Index (GVMI)to estimate the vegetation canopy water of Changbai Mountain Nature Reserve in spring and fall during the period of 2000 to 2007 respectively. The spatial pattern of vegetation water content in this region was analyzed. We also discussed the possible reason of the vegetation water dynamics. Results showed that GVMI derived from reflectance in NIR and SWIR bands, is less affected by atmospheric noise. The equivalent water thickness (EWT)of vegetation was modified using leaf area index (LAI), considering the effects of vegetation cover density on vegetation water retrieval. Our results provided basic information on vegetation status in the protected temperate forest for further understanding the terrestrial vegetation change in response to global climate change and evaluating the regional ecological securities as well.
机译：利用遥感技术及时准确地评估植被水状况有助于了解陆地植被在生态过程中的作用及其特征，这对于监测和建模生态系统至关重要。此外，确定植被含水量对于干旱评估和预测野火敏感性具有重要意义。中国东北的长白山地区拥有世界上最大的温带森林保护区。在这项研究中，我们使用8天复合MODIS产品和全球植被水分指数（GVMI）分别估算了2000年至2007年春季和秋季长白山自然保护区的植被冠层水。分析了该地区植被含水量的空间格局。我们还讨论了植被水分动力学的可能原因。结果表明，来自NIR和SWIR波段反射率的GVMI受大气噪声的影响较小。考虑到植被覆盖密度对植被取水的影响，使用叶面积指数（LAI）修改了植被的等效水厚（EWT）。我们的结果为保护性温带森林的植被状况提供了基本信息，以进一步了解全球气候变化对陆地植被的影响，并评估区域生态安全。

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