Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/28305

Title: Hyperspectral Reflectance as a Basis to Discriminate Olive Varieties—A Tool for Sustainable Crop Management
Authors: Gomes, Luis
Nobre, Tania
Sousa, Adélia
Rei, Fernando
Guiomar, Nuno
Keywords: traditional olive groves
remote sensing
Sentinel 2
spectral reflectance
agricultural intensification
sustainable development
agricultural abandonment
olive cultivars
Issue Date: 10-Apr-2020
Citation: Gomes L., Nobre T., Sousa A., Rei F., Guiomar N.R.G.N. (2020). Hyperspectral reflectance as basis to discriminate olive varieties – a tool for sustainable crop management. Sustainability, 12(7):3059.
Abstract: Worldwide sustainable development is threatened by current agricultural land change trends, particularly by the increasing rural farmland abandonment and agricultural intensification phenomena. In Mediterranean countries, these processes are affecting especially traditional olive groves with enormous socio-economic costs to rural areas, endangering environmental sustainability and biodiversity. Traditional olive groves abandonment and intensification are clearly related to the reduction of olive oil production income, leading to reduced economic viability. Most promising strategies to boost traditional groves competitiveness—such as olive oil differentiation through adoption of protected denomination of origin labels and development of value-added olive products—rely on knowledge of the olive varieties and its specific properties that confer their uniqueness and authenticity. Given the lack of information about olive varieties on traditional groves, a feasible and inexpensive method of variety identification is required. We analyzed leaf spectral information of ten Portuguese olive varieties with a powerful data-mining approach in order to verify the ability of satellite’s hyperspectral sensors to provide an accurate olive variety identification. Our results show that these olive varieties are distinguishable by leaf reflectance information and suggest that even satellite open-source data could be used to map them. Additional advantages of olive varieties mapping were further discussed.
URI: http://hdl.handle.net/10174/28305
Type: article
Appears in Collections:ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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