Unknown

Dataset Information

Estimation of leaf water content from hyperspectral data of different plant species by using three new spectral absorption indices.


ABSTRACT: The leaf equivalent water thickness (EWT, g cm-2) and fuel moisture content (FMC, %) are key variables in ecological and environmental monitoring. Although a variety of hyperspectral vegetation indices have been developed to estimate the leaf EWT and FMC, most of these indices are defined considered two or three specific bands for a specific plant species, which limits their applicability. In this study, we proposed three new spectral absorption indices (SAI970, SAI1200, and SAI1660) for various plant types by considering the symmetry of the spectral absorption at 970 nm, 1200 nm and 1660 nm and spectral heterogeneity of different leaves. The indices were calculated considering the absorption peak and shoulder bands of each leaf instead of the same specific bands for all leaves. A pooled d

SUBMITTER: Li H 

PROVIDER: S-EPMC8009354 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature