Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed DataReportar como inadecuado




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Passive optical hyperspectral remote sensing of plant pigments offers potential for understanding plant ecophysiological processes across a range of spatial scales. Following a number of decades of research in this field, this paper undertakes a systematic meta-analysis of 85 articles to determine whether passive optical hyperspectral remote sensing techniques are sufficiently well developed to quantify individual plant pigments, which operational solutions are available for wider plant science and the areas which now require greater focus. The findings indicate that predictive relationships are strong for all pigments at the leaf scale but these decrease and become more variable across pigment types at the canopy and landscape scales. At leaf scale it is clear that specific sets of optimal wavelengths can be recommended for operational methodologies: total chlorophyll and chlorophyll a quantification is based on reflectance in the green 550–560nm and red edge 680–750nm regions; chlorophyll b on the red, 630–660nm, red edge 670–710nm and the near-infrared 800–810nm; carotenoids on the 500–580nm region; and anthocyanins on the green 550–560nm, red edge 700–710nm and near-infrared 780–790nm. For total chlorophyll the optimal wavelengths are valid across canopy and landscape scales and there is some evidence that the same applies for chlorophyll a.



Autor: Jingfeng Huang, Chen Wei, Yao Zhang, George Alan Blackburn, Xiuzhen Wang , Chuanwen Wei, Jing Wang

Fuente: http://plos.srce.hr/



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