2019
DOI: 10.1007/s11119-019-09663-9
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Mapping vineyard vigor using airborne remote sensing: relations with yield, berry composition and sanitary status under humid climate conditions

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Cited by 41 publications
(48 citation statements)
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“…The analysis of Pearson's correlation coefficients between environmental and spectral features (Analysis 1) provided a general framework to identify the spectral bands/VIs more sensitive to the changes in environmental conditions during the heatwaves. The positive correlations of GDD with NDVI and SAVI were not considered valuable information on the heatwaves, and it is likely that the higher values of the VIs at increasing GDDs was caused by a natural intensification of vigor over the growing season [20,[79][80][81].…”
Section: Discussionmentioning
confidence: 99%
“…The analysis of Pearson's correlation coefficients between environmental and spectral features (Analysis 1) provided a general framework to identify the spectral bands/VIs more sensitive to the changes in environmental conditions during the heatwaves. The positive correlations of GDD with NDVI and SAVI were not considered valuable information on the heatwaves, and it is likely that the higher values of the VIs at increasing GDDs was caused by a natural intensification of vigor over the growing season [20,[79][80][81].…”
Section: Discussionmentioning
confidence: 99%
“…One direct use of NDVI and SAVI is to characterize canopy growth and tree vigor [48,71,72], and so these indexes can be good estimators of pruning needs. However, it is well known that the lack of correlation between NDVI and vegetative growth could be due to soil water distribution and soil surface anisotropy, as well as the angular geometry of illumination at the time of the measurements [73].…”
Section: Role Of Ndvi Savi and Tc-ta Indexesmentioning
confidence: 99%
“…Furthermore, the use of NDVI may have many applications, for example, used as a proxy for tree biophysical features (van Dijke et al, 2019) or for studying cultivated plant biomass and the nitrogen status (Cao et al, 2013;Yao et al, 2014;Zhang et al, 2017). In viticulture, it has been also used near harvest for predicting yield (Sun et al, 2017;Di Gennaro et al, 2019) and characte-rizing the mature grape composition (Ferrer et al, 2019). The veraison stage has been proposed as the best phenological stage to measure and correlate the NDVI value with harvest yield and/or grape composition (Sun et al, 2017;Di Gennaro et al, 2019;Ferrer et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In viticulture, it has been also used near harvest for predicting yield (Sun et al, 2017;Di Gennaro et al, 2019) and characte-rizing the mature grape composition (Ferrer et al, 2019). The veraison stage has been proposed as the best phenological stage to measure and correlate the NDVI value with harvest yield and/or grape composition (Sun et al, 2017;Di Gennaro et al, 2019;Ferrer et al, 2019). However, under Mediterranean conditions the spatial NDVI pattern (airborne image) acquired at 15 to 20 days before veraison showed a significant correlation with an image acquired at harvest (Kazmierski et al, 2011).…”
Section: Introductionmentioning
confidence: 99%