Remote sensing for agricultural applications: A meta-review

Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount for human livelihood. Today, this role must be satisfied within a context of environmental sustainability and climate change, combined with an unprecedented and still-expanding human population size, while ma...

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Vydáno v:	Remote sensing of environment Ročník 236; s. 111402
Hlavní autoři:	Weiss, M., Jacob, F., Duveiller, G.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Inc 01.01.2020 Elsevier BV Elsevier
Témata:	Agricultural land Agricultural practices Agricultural sciences Agriculture Agronomy Assimilation Biodiversity Biodiversity loss Climate change Crop Crop yield Crop yield forecasting Crops Deep learning Detection Ecological monitoring Ecosystem services Engineering Sciences environmental sustainability Evolution & development evolutionary adaptation Fibers fuels human population Human populations humans Inversion Land cover Land use Life Sciences livelihood Machine learning monitoring Phenotyping Plant breeding Population number population size Precision farming Radiative transfer model Raw materials Remote sensing Remote sensing techniques Review Sensing techniques Signal and Image processing soil Soil water stakeholders Traits Viability Water resources Yield yield forecasting Assimilation Radiative transfer model Inversion Review Land cover Remote sensing Traits Land use Crop Deep learning Precision farming Machine learning Phenotyping Agriculture Yield Ecosystem services
ISSN:	0034-4257, 1879-0704
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Popis
Shrnutí:	Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount for human livelihood. Today, this role must be satisfied within a context of environmental sustainability and climate change, combined with an unprecedented and still-expanding human population size, while maintaining the viability of agricultural activities to ensure both subsistence and livelihoods. Remote sensing has the capacity to assist the adaptive evolution of agricultural practices in order to face this major challenge, by providing repetitive information on crop status throughout the season at different scales and for different actors. We start this review by making an overview of the current remote sensing techniques relevant for the agricultural context. We present the agronomical variables and plant traits that can be estimated by remote sensing, and we describe the empirical and deterministic approaches to retrieve them. A second part of this review illustrates recent research developments that permit to strengthen applicative capabilities in remote sensing according to specific requirements for different types of stakeholders. Such agricultural applications include crop breeding, agricultural land use monitoring, crop yield forecasting, as well as ecosystem services in relation to soil and water resources or biodiversity loss. Finally, we provide a synthesis of the emerging opportunities that should strengthen the role of remote sensing in providing operational, efficient and long-term services for agricultural applications. •We make a review of agronomical variables and plant traits that can be estimated from remote sensing.•We describe different methodological approaches to retrieve them.•We discuss how these variables are employed by different stakeholders for specific applications.•We conclude with an overview of caveats and future challenges.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0034-4257 1879-0704
DOI:	10.1016/j.rse.2019.111402