Effect of missing vines on total leaf area determined by NDVI calculated from sentinel satellite data : progressive vine removal experiments

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dc.contributor.authorVelez, Sergioen_ZA
dc.contributor.authorBarajas, Enriqueen_ZA
dc.contributor.authorRubio, Jose Antonioen_ZA
dc.contributor.authorVacas, Rubenen_ZA
dc.contributor.authorPoblete-Echeverria, Carlosen_ZA
dc.date.accessioned2022-01-18T12:20:15Z
dc.date.available2022-01-18T12:20:15Z
dc.date.issued2020-05-23
dc.descriptionCITATION: Velez, S. et al 2020. Effect of missing vines on total leaf area determined by NDVI calculated from sentinel satellite data : progressive vine removal experiments. Applied Sciences, 10(10):3612, doi:10.3390/app10103612.en_ZA
dc.descriptionThe original publication is available at https://www.mdpi.comen_ZA
dc.description.abstractRemote Sensing (RS) allows the estimation of some important vineyard parameters. There are several platforms for obtaining RS information. In this context, Sentinel satellites are a valuable tool for RS since they provide free and regular images of the earth’s surface. However, several problems regarding the low-resolution of the imagery arise when using this technology, such as handling mixed pixels that include vegetation, soil and shadows. Under this condition, the Normalized Difference Vegetation Index (NDVI) value in a particular pixel is an indicator of the amount of vegetation (canopy area) rather than the NDVI from the canopy (as a vigour expression), but its reliability varies depending on several factors, such as the presence of mixed pixels or the effect of missing vines (a vineyard, once established, generally loses grapevines each year due to diseases, abiotic stress, etc.). In this study, a vine removal simulation (greenhouse experiment) and an actual vine removal (field experiment) were carried out. In the field experiment, the position of the Sentinel-2 pixels was marked using high-precision GPS. Controlled removal of vines from a block of cv. Cabernet Sauvignon was done in four steps. The removal of the vines was done during the summer of 2019, matching with the start of the maximum vegetative growth. The Total Leaf Area (TLA) of each pixel was calculated using destructive field measurements. The operations were planned to have two satellite images available between each removal step. As a result, a strong linear relationship (R2 = 0.986 and R2 = 0.72) was obtained between the TLA and NDVI reductions, which quantitatively indicates the effect of the missing vines on the NDVI values.en_ZA
dc.description.urihttps://www.mdpi.com/2076-3417/10/10/3612
dc.description.versionPublisher's versionen_ZA
dc.format.extent12 pages : illustrationsen_ZA
dc.identifier.citationVelez, S. et al 2020. Effect of missing vines on total leaf area determined by NDVI calculated from sentinel satellite data : progressive vine removal experiments. Applied Sciences, 10(10):3612, doi:10.3390/app10103612.en_ZA
dc.identifier.issn2076-3417
dc.identifier.otherdoi:10.3390/app10103612
dc.identifier.urihttp://hdl.handle.net/10019.1/124104
dc.language.isoen_ZAen_ZA
dc.publisherMDPIen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectVine removalen_ZA
dc.subjectNormalized Difference Vegetation Index (NDVI)en_ZA
dc.subjectPrecision viticultureen_ZA
dc.subjectModern image satellite analysisen_ZA
dc.subjectTotal Leaf Areaen_ZA
dc.titleEffect of missing vines on total leaf area determined by NDVI calculated from sentinel satellite data : progressive vine removal experimentsen_ZA
dc.typeArticleen_ZA
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