Hyperspectral time series datasets of maize during the grain filling period.

ABSTRACT:

Objectives

Remotely sensed hyperspectral data are increasingly being used to assess crop development and growth throughout the growing season. Large datasets capturing key growth stages can be useful to researchers studying many physiological plant responses. A time series analysis of hyperspectral reflectance measurements taken during the grain filling period and published within a publicly accessible database are described herein. These datasets document the spectral reflectance pattern of the canopy within the visible and near-infrared portion of the electromagnetic spectrum during the late stages of the grain filling period as plants approach and reach physiological maturity.

Data description

Included within the data repository are canopy-level hyperspectral datasets col

SUBMITTER: Craig V 

PROVIDER: S-EPMC9052440 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature