Premium
Quality‐assured long‐term satellite‐based leaf area index product
Author(s) -
Peng Jian,
Blessing Simon,
Giering Ralf,
Müller Benjamin,
Gobron Nadine,
Nightingale Joanne,
Boersma Folkert,
Muller JanPeter
Publication year - 2017
Publication title -
global change biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.146
H-Index - 255
eISSN - 1365-2486
pISSN - 1354-1013
DOI - 10.1111/gcb.13888
Subject(s) - leaf area index , environmental science , satellite , term (time) , remote sensing , vegetation (pathology) , product (mathematics) , meteorology , computer science , mathematics , geography , physics , ecology , geometry , quantum mechanics , biology , medicine , pathology , astronomy
Global long-term Satellite-based leaf area index (LAI) products have been generated and applied widely for understanding the feedbacks between climate and terrestrial vegetation. However, these long-term LAI products are not internally consistent over time and also not consistent with each other, which means they might be not suitable for serving as reference datasets in long-term global change research. Therefore, there is a strong need for a quality-assured long-term LAI product with reliable, traceable and understandable quality information. The Quality Assurance for Essential Climate Variables (QA4ECV) project is developing a quality assurance framework to provide understandable and traceable quality information for ECVs such as LAI. The LAI produced from this framework will add greater transparency and openness between ECV producers and end users, and facilitate the application of a long-term LAI product for global change research. This article is protected by copyright. All rights reserved.