A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons.
Shan LuFan LuWenqiang YouZheyi WangYu LiuKenji OmasaPublished in: Plant methods (2018)
MDATT is proposed as an optimal index for the remote estimation of vegetation chlorophyll content across several plant species in different growth stages when reflectance from both leaf surfaces is considered. The red-edge to near-infrared wavelength (723-885 nm) for λ1, as well as the red-edge region (697-771 nm) for λ2 or λ3, are considered to be the most robust for constructing the MDATT index for estimating LCC, regardless of the leaf surface or plant species.