title: Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data.
abstract: 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.
authors.affiliation: Institute of Agricultural Remote Sensing & Information Application, Zijingang Campus, Zhejiang University, Hangzhou, China.
authors.forename: Jingfeng
authors.initials: J
authors.lastname: Huang
authors.affiliation: Institute of Agricultural Remote Sensing & Information Application, Zijingang Campus, Zhejiang University, Hangzhou, China; Zhejiang Meteorological Service Center, Hangzhou, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Wei
authors.affiliation: Institute of Agricultural Remote Sensing & Information Application, Zijingang Campus, Zhejiang University, Hangzhou, China.
authors.forename: Yao
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom.
authors.forename: George Alan
authors.initials: GA
authors.lastname: Blackburn
authors.affiliation: Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou, China.
authors.forename: Xiuzhen
authors.initials: X
authors.lastname: Wang
authors.affiliation: Institute of Agricultural Remote Sensing & Information Application, Zijingang Campus, Zhejiang University, Hangzhou, China.
authors.forename: Chuanwen
authors.initials: C
authors.lastname: Wei
authors.affiliation: Institute of Agricultural Remote Sensing & Information Application, Zijingang Campus, Zhejiang University, Hangzhou, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
mesh_terms: D000872:Anthocyanins / Q000378:metabolism; D002338:Carotenoids / Q000378:metabolism; D002734:Chlorophyll / Q000031:analogs & derivatives / Q000378:metabolism; D000077194:Chlorophyll A; D008027:Light; D010860:Pigments, Biological / Q000378:metabolism*; D018515:Plant Leaves / Q000378:metabolism; D010944:Plants / Q000378:metabolism*; D011642:Publications; D058998:Remote Sensing Technology / Q000379:methods*; D013057:Spectrum Analysis / Q000379:methods*
chemical_list: D000872:Anthocyanins; D010860:Pigments, Biological; D002734:Chlorophyll; C085815:chlorophyll a'; D002338:Carotenoids; C037184:chlorophyll b; D000077194:Chlorophyll A