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Relationship between AVHRR NDVI Time Series and Single Point Vegetation Measurements from an Automated Climate Station Network in the Swiss Alps

机译:瑞士阿尔卑斯山自动气象站网络的AVHRR NDVI时间序列与单点植被测量之间的关系

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An important contribution to climate impact studies can be made by comparing remote sensing and ground based phenology. Here, Start of Season (SOS) dates from three AVHRR NDVI products (Fourier smoothed, Savitzky-Golay filtered, and Best Index Slope Extraction (BISE)) were compared with single point ultrasonic vegetation height measurements at 13 alpine grassland sites between 2001 and 2005. SOS from all three NDVI products were significantly correlated with the ground based melt-out and start of growth dates. As expected, NDVI SOS products best represented ground based melt-out dates, with average differences ranging from 1.35 days (Fourier product) to 7.93 days (Savitzky-Golay product). The BISE algorithm displayed the best correlation (r=0.58). Remaining differences result from complex topography and high land cover variability within the direct surroundings of the measuring site. Overall, the ground based data appeared to be a valuable tool helping to understand and interpret remote sensing NDVI data.
机译:通过比较遥感和基于地面的物候现象,可以对气候影响研究做出重要贡献。在此,将2001年至2005年期间在13个高山草原站点上对三种AVHRR NDVI产品(经傅立叶滤波,Savitzky-Golay滤波和最佳指数斜率提取(BISE)的季节开始日期)与单点超声植被高度测量结果进行了比较。所有三种NDVI产品的SOS与基于地面的融化和开始生长的日期均显着相关。不出所料,NDVI SOS产品最能代表地面熔炼日期,平均差异范围为1.35天(傅立叶产品)到7.93天(Savitzky-Golay产品)。 BISE算法显示出最佳的相关性(r = 0.58)。其余的差异是由复杂的地形和测量场地直接周围的高土地覆盖变化造成的。总体而言,基于地面的数据似乎是有助于理解和解释遥感NDVI数据的有价值的工具。

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