New submission deadline: June 30, 2024
In this Article Collection, we welcome studies that use remote sensing data to model leaf chlorophyll content across all observational scales and experimental designs, from ground-based studies, through to tower observations and drone, airborne and satellite platforms. We encourage the submission of papers covering both methods-based approaches of chlorophyll retrieval (e.g., statistical, process-based, machine learning) and applied studies using remotely-sensed chlorophyll content to investigate, for example: plant-environment interactions, environmental change, the integration of leaf chlorophyll into terrestrial biosphere models and crop models, and guiding management decisions and precision agriculture.
MANUSCRIPTS SUBMISSION
Manuscripts must be submitted by June 30, 2024 via the Taylor & Francis Submission Portal.
CONTACTS
CJRS-JCT Editor-in-Chief: Monique Bernier, INRS – Québec City, QC, Canada
Email: cjrs-jct@crss-sct.ca
