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dc.contributor.authorSoriano González, Jesús
dc.contributor.authorAngelats Company, Eduard
dc.contributor.authorAlcaraz, Carles
dc.contributor.authorMartínez-Eixarch, Maite
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Tecnologia Agroalimentària i Biotecnologia
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials
dc.date.accessioned2021-05-10T09:29:14Z
dc.date.available2021-05-10T09:29:14Z
dc.date.issued2020
dc.identifier.citationSoriano-González, J. [et al.]. Rice farming and macrophyte dynamics monitoring through Sentinel-2 MSI as a proxy of disturbance of agricultural practices over an enclosed bay. A: FIG Working Week 2020, 10-14 May 2020, virtual event. "Proceedings of FIG Working Week 2020, 10-14 May 2020". 2020, p. 1-15.
dc.identifier.otherhttps://www.researchgate.net/publication/341286361_Rice_farming_and_macrophyte_dynamics_monitoring_through_Sentinel-2_MSI_as_a_proxy_of_disturbance_of_agricultural_practices_over_an_enclosed_bay
dc.identifier.urihttp://hdl.handle.net/2117/345337
dc.description.abstractCoastal regions are highly dynamic and productive ecosystems with high ecological and economical value. Given the co-existence and interaction of different human activities, both in land and on sea, it is a priority an Integrated Coastal Management (ICM) ensuring their sustainability. In this sense, in the biosphere reserve of the Ebro Delta (NW Mediterranean, Spain), natural ecosystems co-exist with human economic activities. Rice farming is the main activity on the area and is likely to have environmental impacts on coastal areas such as bays, where paddies irrigation channels discharge. Therefore, understanding the interaction between rice farming and the coastal ecosystem is essential for developing an ICM. With this aim, we monitored rice paddies, by using remote sensing data, and macrophytes (seagrass meadows and macroalgae mats) in the Delta-Bay system (Alfacs Bay), as disturbance indicator. Using Sentinel-2 MSI imagery, rice growing dynamics and crop phenology were characterized through the Normalized Vegetation Index (NDVI) and Normalized Water Index (NDWI) over a two-year period. Agricultural management practices such as fertilization were obtained from farmers. For aquatic vegetation, after atmospheric correction for ocean colour remote sensing, spectral band combination of Sentinel-2 MSI together with field observations were used in a supervised classification method to assess the spatial coverage of seagrass and macroalgae communities. The combination of NDVI and NDWI proved to be suitable to identify hydroperiod and crop phenology of rice paddies. The supervised classification of the bay’s vegetation showed spatiotemporal dynamics related with previous results in scientific literature. Aquatic vegetation presented a different temporal pattern in the northern than in the southern margin of the Alfacs Bay, which can be related to rice crop growing cycle. In the northern margin, where rice irrigation channels flow out (i.e. freshwater, nutrients, etc.), overgrowing macroalgae episodes occurred. However, in the southern margin, without the direct impact of the irrigation network, overgrowing-macroalgae was not reported. These results highlight the need for a global management strategy to ensure the sustainability of both human economic activities and natural systems and prove the suitability of Sentinel-2 as a support tool for future policy decision making.
dc.description.sponsorshipThis work has been funded by AGAUR (Generalitat de Catalunya) through a grant for the recruitment of early-stage research staff (Ref: 2018 FI_B 00705).
dc.format.extent15 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Impacte ambiental
dc.subject.lcshRemote sensing
dc.subject.lcshLand management
dc.subject.lcshWater--Management
dc.subject.otherIntegrated land and water management
dc.subject.otherRemote sensing
dc.subject.otherAgriculture impact
dc.titleRice farming and macrophyte dynamics monitoring through Sentinel-2 MSI as a proxy of disturbance of agricultural practices over an enclosed bay
dc.typeConference report
dc.subject.lemacRecursos hidràulics -- Explotació -- Aspectes ambientals
dc.subject.lemacHidrologia -- Teledetecció
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.fig.net/fig2020/technical_program.htm
dc.rights.accessOpen Access
local.identifier.drac28818045
dc.description.versionPostprint (published version)
local.citation.authorSoriano-González, J.; Angelats, E.; Alcaraz, C.; Martínez-Eixarch, M.
local.citation.contributorFIG Working Week 2020, 10-14 May 2020, virtual event
local.citation.publicationNameProceedings of FIG Working Week 2020, 10-14 May 2020
local.citation.startingPage1
local.citation.endingPage15


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