NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards

dc.contributor.authorMartínez Casasnovas, José Antonio
dc.contributor.authorLlorens Calveras, Jordi
dc.contributor.authorSandonís Pozo, Leire
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorArnó Satorra, Jaume
dc.date.accessioned2022-11-03T09:35:14Z
dc.date.available2022-11-03T09:35:14Z
dc.date.issued2021
dc.description.abstractThe present work tries to bridge a gap about the estimation of geometric and structural orchard parameters (LiDAR-derived) from vegetation indices from satellites. The maximum height and width, the cross-sectional area and the porosity were measured along the rows in a super-intensive almond (Prunus dulcis) orchard every 0.5 m by means of a Velodyne VLP16 LiDAR sensor. These parameters were interpolated to the pixel centroids of PlanetScope and Sentinel-2 and correlated with the normalized difference vegetation index (NDVI) from both platforms. The highest correlations were obtained between the NDVI of PlanetScope images and the cross-sectional area of the almond trees (R=0.72) and with the maximum width of the cross-sections (R=0.71). The results can be useful to estimate important canopy geometric parameters for site-specific management of orchards.ca_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Science, Innovation and Universities through the project PAgFRUIT (RTI2018-094222-B-I00). The authors thank the Copernicus program for the use of Sentinel-2 images and Planet Labs Inc. for the use of PlanetScope images under the Educational and Research License agreement with the Universitat de Lleida.ca_ES
dc.identifier.doihttps://doi.org/10.3920/978-90-8686-916-9_68
dc.identifier.urihttp://hdl.handle.net/10459.1/84063
dc.language.isoengca_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094222-B-I00/ES/TECNOLOGIAS DE AGRICULTURA DE PRECISION PARA OPTIMIZAR EL MANEJO DEL DOSEL FOLIAR Y LA PROTECCION FITOSANITARIA SOSTENIBLE EN PLANTACIONES FRUTALES/ca_ES
dc.relation.haspart13th European Conference on Precision Agriculture, July 19-22, 2021, Budapest, Hungary
dc.relation.isformatofVersió preprint del document publicat a https://doi.org/10.3920/978-90-8686-916-9_68ca_ES
dc.relation.ispartofStafford, J.V. (ed.), Precision Agriculture’21. Wageningen Academic Publishers, Amsterdam (The Netherlands), pp 567-573. https://doi.org/10.3920/978-90-8686-916-9ca_ES
dc.rights© José Antonio Martínez Casasnovas et al., 2021ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.subjectLiDARca_ES
dc.subjectGeometric parametersca_ES
dc.subjectAlmond orchardsca_ES
dc.subjectNDVIca_ES
dc.subjectSentinel-2ca_ES
dc.subjectPlanetScopeca_ES
dc.titleNDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchardsca_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectca_ES
dc.type.versioninfo:eu-repo/semantics/submittedVersionca_ES
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