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Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery

机译:基于地面数据和植被传感器图像的南美大草原多尺度趋势分析

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This study aimed to evaluate changes in the aboveground net primary productivity (ANPP) of grasslands in the Pampa biome by using experimental plots and changes in the spectral responses of similar vegetation communities obtained by remote sensing and to compare both datasets with meteorological variations to validate the transition scales of the datasets. Two different geographic scales were considered in this study. At the local scale, an analysis of the climate and its direct influences on grassland ANPP was performed using data from a long-term experiment. At the regional scale, the influences of climate on the grassland reflectance patterns were determined using vegetation sensor imagery data. Overall, the monthly variations of vegetation canopy growth analysed using environmental changes (air temperature, total rainfall and total evapotranspiration) were similar. The results from the ANPP data and the NDVI data showed the that variations in grassland growth were similar and independent of the analysis scale, which indicated that local data and the relationships of local data with climate can be considered at the regional scale in the Pampa biome by using remote sensing.
机译:这项研究旨在通过使用实验图和通过遥感获得的相似植被群落的光谱响应变化来评估潘帕生物群落草地地上净初级生产力(ANPP)的变化,并将这两个数据集与气象变化进行比较以验证数据集的过渡尺度。在这项研究中考虑了两个不同的地理尺度。在地方尺度上,使用长期实验的数据对气候及其对草地ANPP的直接影响进行了分析。在区域尺度上,使用植被传感器图像数据确定了气候对草地反射率模式的影响。总体而言,使用环境变化(气温,总降雨量和总蒸散量)分析的植被冠层生长的月变化相似。 ANPP数据和NDVI数据的结果表明,草地生长的变化是相似的,并且与分析规模无关,这表明可以在Pampa生物群落的区域范围内考虑本地数据以及本地数据与气候的关系。通过使用遥感。

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