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Measuring Sustainable Intensification Using Satellite Remote Sensing Data

Lookup NU author(s): Dr Francisco ArealORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Farm-level sustainable intensification metrics are needed to evaluate farm performance and support policy-making processes aimed at enhancing sustainable production. Farm-level sustainable intensification metrics require environmental impacts associated with agricultural production to be accounted for. However, it is common that such indicators are not available. We show how satellite-based remote sensing information can be used in combination with farm efficiency analysis to obtain a sustainable intensification (SI) indicator, which can serve as a sustainability benchmarking tool for farmers and policy makers. We obtained an SI indicator for 114 maize farms in Yangxin County, located in the Shandong Province in China, by combining information on maize output and inputs with satellite information on the leaf area index (from which a nitrogen environmental damage indicator is derived) into a farm technical efficiency analysis using a stochastic frontier approach. We compare farm-level efficiency scores between models that incorporate environmental damage indicators based on satellite-based remote sensing information and models that do not account for environmental impact. The results demonstrate that (a) satellite-based information can be used to account for environmental impacts associated with agriculture production and (b) how the environmental impact metrics derived from satellite-based information combined with farm efficiency analysis can be used to obtain a farm-level sustainable intensification indicator. The approach can be used to obtain tools for farmers and policy makers aiming at improving SI.

Publication metadata

Author(s): Areal FJ, Yu W, Tansey K, Liu J

Publication type: Article

Publication status: Published

Journal: Sustainability

Year: 2022

Volume: 14

Issue: 3

Online publication date: 05/02/2022

Acceptance date: 03/02/2022

Date deposited: 05/02/2022

ISSN (electronic): 2071-1050

Publisher: MDPI


DOI: 10.3390/su14031832


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