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Remote Sensing of Tall Grasslands: Estimating Vegetation Biochemical Contents at Multiple Spatial Scales and Investigating Vegetation Temporal Response to Climate Conditions.

机译:高草原的遥感:在多个空间尺度上估算植被生化含量,并调查植被对气候条件的时间响应。

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摘要

This thesis estimated vegetation biochemical properties at multiple spatial scales and investigate vegetation temporal dynamics under climate influences in a heterogeneous tallgrass ecosystem in Southern Ontario using remote sensing data. Ground hyperspectral and space multispectral remote sensing data derived Normalized Difference Vegetation Index (NDVI) and Simple Ratio (SR) were used to estimate biochemical properties at the species, canopy and landscape level. Both vegetation indices explained 32% to 56% of the variations in biochemical properties at the species level, 16% to 53% at the canopy level, and over 60% at the landscape level. MODIS NDVI and climate data were also collected to investigate the vegetation-climate relationships during the growing season and the lag effects of climate factors on vegetation at the peak growing season. The findings indicate that temperature is the key climate factor that drives the annual cycle, and there is a time lag effect of climate factors on vegetation.
机译:本文利用遥感数据估算了安大略省南部异质高草生态系统中多种空间尺度上植被的生化特性,并研究了气候影响下的植被时空动态。利用地面高光谱和空间多光谱遥感数据得出的归一化植被指数(NDVI)和简单比率(SR)来估计物种,冠层和景观水平的生化特性。两种植被指数在物种水平上解释了32%至56%的生化特性变化,在树冠水平上解释了16%至53%的变化,在景观水平上解释了60%以上。还收集了MODIS NDVI和气候数据,以调查生长期的植被-气候关系以及高峰生长期气候因子对植被的滞后效应。研究结果表明,温度是驱动一年周期的关键气候因子,并且气候因子对植被具有时滞效应。

著录项

  • 作者

    Wong, Kelly Ka Lei.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Geography.;Climate Change.;Geodesy.
  • 学位 M.Sc.
  • 年度 2013
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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