Multiscale Trend Analysis for Pampa Grasslands Using Ground Data and Vegetation Sensor Imagery.
作者： Fernando Scottá , Eliana da Fonseca
DOI: 10.3390/S150717666
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摘要: This study aimed to evaluate changes in the aboveground net primary productivity (ANPP) of grasslands Pampa biome by using experimental plots and spectral responses similar vegetation communities obtained remote sensing compare both datasets with meteorological variations validate transition scales datasets. Two different geographic were considered this study. At local scale, an analysis climate its direct influences on grassland ANPP was performed data from a long-term experiment. regional reflectance patterns determined sensor imagery data. Overall, monthly canopy growth analysed environmental (air temperature, total rainfall evapotranspiration) similar. The results NDVI showed that independent which indicated relationships can be at scale sensing.
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