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首页> 外文会议>International symposium on remote sensing of environment >Supporting Rangeland Management: Integration of Satellite Spectral Data and Rainfall to Estimate and Project Vegetation Cover in Semi-desert Grasslands
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Supporting Rangeland Management: Integration of Satellite Spectral Data and Rainfall to Estimate and Project Vegetation Cover in Semi-desert Grasslands

机译：支持牧场管理：卫星光谱数据的整合和降雨在半沙漠草原中的估算和项目植被覆盖

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摘要

Application of remote sensing data to the estimation of vegetation cover has been an active area of research for many years. The objective of this study was to determine if historical measurements of vegetation cover on monitoring plots coupled with measures of cumulative precipitation could be correlated with satellite spectral response. In this study, prior point-intercept and line-intercept vegetation cover measurements were applied to assess multiple vegetation components based upon their morphological traits. These components included grasses and forbs, litter, bare soil, shrubs, and trees. Simple linear regression was utilized to investigate the relation between vegetation components and satellite signals with precipitation data. The results showed that it was possible to estimate vegetation cover measures as well as systematically monitor current conditions based upon the regression models.
机译：遥感数据在植被覆盖估算中的应用已经是多年来的活跃的研究领域。本研究的目的是确定植被覆盖的历史测量是否与累积沉淀措施相结合的监测图可以与卫星光谱反应相关。在本研究中，应用先前的点截距和线路拦截植被覆盖测量以基于形态特征评估多个植被组分。这些组件包括草和杂草，垃圾，裸土，灌木和树木。利用简单的线性回归来研究植被部件与降水数据的卫星信号之间的关系。结果表明，可以估计植被覆盖措施，并根据回归模型系统地监测当前条件。

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