Tower-based spectral and eddy covariance dataset from a Japanese cypress forest (2017–2020)

Le résumé fourni par la source

This dataset contains four years (2017–2020) of tower-based canopy spectral reflectance and eddy covariance flux data from a mature Japanese cypress (Chamaecyparis obtusa) forest. It includes six spectral indices (NDVI, PRI, CCI, tri-PRI, RI, RGVI) alongside GPP, LUE, and meteorological variables. The data support analysis of vegetation index–photosynthesis relationships and the separation of temperature-driven versus physiological signals in evergreen conifer phenology. Refer to the associated publication in Remote Sensing of Environment for details.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.