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Is it relevant to account for grapevine phenology in time series of satellite images?

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Abstract

In precision agriculture, most spatio-temporal analyses involve the analysis of time series of remotely-sensed images whose dates are expressed according to the Gregorian calendar. However, in the agronomic literature, it is commonly accepted that calendars based on a thermal index allow a better representation of the actual state of development of the plant. This paper aims to demonstrate that potential new information at the block scale can be revealed by adjusting a NDVI time series extracted from Sentinel 2 images using a site-specific thermal index. This is achieved by removing part of the inter-annual differences in the time-series that is due to variations in phenology by using a temperature-based time adjustment. To do so, the paper is based on an operational case study in viticulture exploring whether a link between NDVI profiles and the consistency over years of harvest quality parameters could be hypothesised at the block scale.
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hal-03837258 , version 1 (02-11-2022)

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Cécile Laurent, Florian Rancon, Eva Fornieles Lopez, Thibaut Scholasch, Aurélie Metay, et al.. Is it relevant to account for grapevine phenology in time series of satellite images?. 13th European Conference on Precision Agriculture, Jul 2021, Budapest, Hungary. pp.163-169, ⟨10.3920/978-90-8686-916-9_18⟩. ⟨hal-03837258⟩
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