Abstract
Anisotropy index (ANIX), which is defined as the ratio between the maximum and minimum reflectance factors in the principal plane, has been applied in characterizing the optical properties of vegetation. But it is seldom used to estimate the chlorophyll content in leaf level. In this study, we found the leaf spectral anisotropy index (ANIX) depended on the variation of leaf chlorophyll content (LCC). Newly proposed indices, (ASRI: A750/A720 and ANDI: (A750-A720)/(A750+A720), A is the modified ANIX (mANIX=ANIX-1)), were derived from the format of the existing reflectance-based vegetation indices: simple ratio (SR) and normalized difference (ND) indices. The diffuse reflection, closely related to LCC, can be extracted from the two new indices (or directly obtained as the minimum bidirectional reflectance factor). They have strong linear relationships with LCC (R2=0.88 and 0.89), and have good estimation accuracy using an independent dataset (RMSE=6.39 μg/cm2 and 6.10 μg/cm2). We also found the ASRI (ANDI) had similar LCC estimation accuracy as the range-ASRIs or range-ANDIs (RANDIs or RANDIs), which were calculated by the random combination of reflectance factors in the forward scattering directions (ranged from -30° to -50°) and near the backward scattering directions (ranged from 0° to 20°). The wide and effective ranges of viewing angles strengthen the usability of ASRI and ANDI to estimate LCC in the practical measurements.
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Claims 5
Claim · model-written summary
ASRI and ANDI indices have strong linear relationships with leaf chlorophyll content (R2 = 0.88 and 0.89).
Verbatim
e1“They have strong linear relationships with LCC (R2=0.88 and 0.89)”
Claim · model-written summary
ASRI gave an independent-dataset estimation error of RMSE 6.39 μg/cm2 for leaf chlorophyll content.
Verbatim
e2“have good estimation accuracy using an independent dataset (RMSE=6.39 μg/cm2 and 6.10 μg/cm2)”
Claim · model-written summary
ANDI gave an independent-dataset estimation error of RMSE 6.10 μg/cm2 for leaf chlorophyll content.
Verbatim
e2“have good estimation accuracy using an independent dataset (RMSE=6.39 μg/cm2 and 6.10 μg/cm2)”
Claim · model-written summary
ASRI (ANDI) had similar LCC estimation accuracy to the range-ASRIs or range-ANDIs.
Verbatim
e3“We also found the ASRI (ANDI) had similar LCC estimation accuracy as the range-ASRIs or range-ANDIs”
Claim · model-written summary
The leaf spectral anisotropy index (ANIX) depended on leaf chlorophyll content.
Not reportedTaxonDirection
Verbatim
e4“we found the leaf spectral anisotropy index (ANIX) depended on the variation of leaf chlorophyll content”