A Novel SIF-Based Framework Outperforms Empirical Models in Regional Ozone Stress Assessment for Winter Wheat

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: huan guo
DOI: 10.5281/zenodo.18947773
Cited by: 0

Abstract

We integrated satellite SIF, climate, and MODIS datasets to evaluate regional ozone (O3) impacts on winter wheat. By coupling rMLR and Ball-Berry-Leuning (BBL) models, we simulated net photosynthesis (An) and canopy conductance (Gc) to estimate SIF-based stomatal O3 flux (SIF_POD0).

Fields of Study & Subjects

Plant responses to elevated CO2 Remote Sensing in Agriculture Photosynthetic Processes and Mechanisms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN
Document type
Dataset