Submission deadline: December 13, 2023
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.
All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisors for this collection will not be handling the manuscripts. Please review the journal scope and author submission instructions prior to submitting a manuscript.
Manuscripts must be submitted by December 13th, 2023 via the Taylor & Francis Submission Portal.
CJRS-JCT Editor-in-Chief: Monique Bernier, INRS – Québec City, QC, Canada