Terroir 2004 banner
IVES 9 IVES Conference Series 9 Contribution of very high resolution satellite remote sensing to the mapping of harvest zones in the Maipo Valley (Chile)

Contribution of very high resolution satellite remote sensing to the mapping of harvest zones in the Maipo Valley (Chile)

Abstract

[English version below]

Les images de très haute résolution spatiale sont utilisées depuis peu en viticulture comme une aide à la cartographie des zones de vendanges. A partir d’images multispectrales de très haute résolution spatiale IKONOS (résolution 4 m) et SPOT-5 en supermode (résolution 2.5 m), on propose ici une démarche de segmentation d’une région de vignoble en zones de vendanges. Outre les états de la végétation de la vigne, on considère une caractérisation des états de surface du sol. La démarche repose sur une étude diachronique à deux dates sensibles du cycle de la vigne, mars 2001 (IKONOS) et juillet 2002 (SPOT-5). L’étude porte sur 134 ha, comprenant 23 parcelles irriguées de Cabernet-Sauvignon. Les traitements d’images consistent en des masquages, réalisés à partir d’une image infra-rouge couleur, qui isolent tour à tour la végétation de la vigne ou les sols nus. Des classifications ascendantes hiérarchiques conduisent à déterminer 6 classes de végétation de la vigne, ordonnées par niveau de biomasse (et d’activité) chlorophyllienne, et 4 classes de sols nus. Ces résultats montrent que le niveau de biomasse chlorophyllienne de la vigne est spécifiquement associé à certaines classes de sols nus. Les résultats sont discutés en liaison avec des informations viticoles concernant cépage, mode de conduite, orientation des rangs, enherbement, irrigation, âge des ceps, densité de plantation.

Use of very high-resolution images, as a support to demarcating grape harvest zones, is recent in viticulture. Using very high resolution IKONOS (4 m-resolution) and supermode SPOT-5 (2.5 m-resolution) multispectral images, this paper here proposes an approach of segmentating a vineyard region into grape harvest zones. In addition to vine vegetation states, soil surface is characterized. This approach relies on a diachronic study at two significant dates of the vine cycle: March 2001 (IKONOS) and July 2002 (SPOT-5). The study is carried out over 134 ha, comprising 23 Cabernet-Sauvignon irrigated plots. Images are processed by successive maskings carried out on a Infrared Color (IRC) image, which alternately isolate vine vegetation or bare soils. The performing of Ascending Hierarchical Classifications result in defining 6 vine vegetation classes, which are ranked by chlorophyll biomass (and activity) qualitative level, and 4 bare soil classes. These results demonstrate that vine chlorophyll biomass qualitative levels are specifically related to some classes of bare soils. Results are discussed in relationship with viticultural data referring to variety, training system, row orientation, grass cover, irrigation, plant age, planting density.

DOI:

Publication date: January 12, 2022

Issue: Terroir 2004

Type: Article

Authors

P. Parra Emilfork and E. Vaudour

Institut National Agronomique Paris-Grignon, UMR INRA/INA P-G “Environnement et Grandes Cultures” – Equipe Sol-DMOS, Centre de Grignon BP 01, 78850 Thiverval-Grignon, France

Contact the author

Keywords

Satellite remote sensing, terroir, vine, diachrony

Tags

IVES Conference Series | Terroir 2004

Citation

Related articles…

Rapid damage assessment and grapevine recovery after fire

There is increasing scientific consensus that climate changeis the underlying cause of the prolonged dry and hot conditions that have increased the risk of extreme fire weather in many countries around the world. In December 2019, a bushfire event occurred in the Adelaide Hills, South Australia where 25,000 hectares were burnt and in vineyards and surrounding areas various degrees of scorching and infrastructure damage occurred. The ability to coordinate and plan recovery after a fire event relies on robust and timely data. The current practice for measuring the scale and distribution of fire damage is to walk or drive the vineyard and score individual vines based on visual observation. The process is time consuming, subjective, or semi-quantitative at best. After the December 2019 fires, it took many months to access properties and estimate the area of vineyard damaged. This study compares the rapid assessment and mapping of fire damage using high-resolution satellite imagery with more traditional ground based measures. Satellite imagery tracking vineyard recovery in the season following the bushfire is being correlated to field assessments of vineyard productivity such as canopy health and development, fertility and carbohydrate storage. Canopy health in the seasons following the fires correlated to the severity of the initial fire damage. Severely damaged vines had reduced canopy growth, were infertile or had very low fertility as well as lower carbohydrate levels in buds and canes during dormancy, which reduced productivity in the seasons following the bushfire event. In contrast, vines that received minor damage were able to recover within 1-2 years. Tools that rapidly and affordably capture the extent and severity of damage over large vineyard area will allow producers, government and industry bodies to manage decisions in relation to fire recovery planning, coordination and delivery, improving the efficiency and effectiveness of their response.

Effect of the commercial inoculum of arbuscular mycorrhiza in the establishment of a commercial vineyard of the cultivar “Manto negro

The favorable effect of symbiosis with arbuscular mycorrhizal fungi (AMF) has been known and studied since the 60s. Nowadays, many companies took the chance to start promoting and selling commercial inoculants of AMF, in order to be used as biofertilizers and encourage sustainable biological agriculture. However, the positive effect of these commercial biofertilizers on plant growth is not always demonstrated, especially under field conditions. In this study, we used a commercial inoculum on newly planted grapevines of a local cultivar grafted on a common rootstock R110. We followed the physiological status of vines, growth and productivity and functional biodiversity of soil bacteria during the first and second years of 20 inoculated with commercial inoculum bases on Rhizophagus irregularis and Funeliformis mosseaeAMF at field planting time and 20 non-inoculated control plants. All the parameters measured showed a neutral to negative effect on plant growth and production. The inoculated plants always presented lower values of photosynthesis, growth and grape production, although in some cases the differences did not reach statistical significance. On the contrary, the inoculation supposed an increase of the bacterial functional diversity, although the differences were not statistically significant either. Several studies show that the effect of inoculation with AMF is context-dependent. The non-favorable effects are probably due to inoculation ineffectiveness under complex field conditions and/or that, under certain conditions, AMF presence may be a parasitic association. This puts into question the effectiveness of its application in the field. Therefore, it is recommended to only resort to this type of biofertilizer when the cultivation conditions require it (e.g., very low previous microbial diversity, foreseeable stress due to drought, salinity, or lack of nutrients) and not as a general fertilization practice.

Sustainable fertilisation of the vineyard in Galicia (Spain)

Excessive fertilization of the vineyard leads to low quality grapes, increased costs and a negative impact on the environment. In order to establish an integrated management system aimed at a sustainable fertilization of the vineyards, nutritional reference levels were established. For this purpose, 30 representative vineyards of the Albariño variety were studied, in which soil and petiole analyses were carried out for two years and grape yield and quality at harvest were measured. In both years of study, soil pH, calcium, sodium and cation exchange capacity were positively correlated with calcium content and negatively correlated with manganese in grapes. Irrigated vineyards had higher levels of aluminium in soil and lower levels of calcium in petiole. Climatic conditions were very different in the years of the study. The year 2019 was colder than usual, in 2020 there was a marked water stress with high summer temperatures. This resulted in medium-high acidity in grapes in 2019 and low acidity in 2020, with sugar levels being similar both years. A very marked decrease in must amino nitrogen was observed in 2020, with ammonia nitrogen remaining stable. The correlation of acidity and sugar values in grapes with soil and petiole analysis data made it possible to establish reference levels for the nutritional diagnosis of the Albariño variety in this region. Based on these results, an easy-to-use TIC application is currently being created for grapegrowers, aimed at improving the sustainability of the vineyard through reasoned fertilization. This study has now been extended to other Galician vine varieties.

Exploring resilience and competitiveness of wine estates in Languedoc-Roussillon in the recent past: a multi-level perspective

The Languedoc-Roussillon wineries are facing a decline in wine yields particularly PGI yields due to many factors. Climate change is just ones, but is expected to increase in the future. There is also structurally a large heterogeneity of yield profiles among terroirs, varieties and strategies. This work investigates the link between yield, competitiveness and resilience to explore how resilient winegrowers have been in the recent past. To this end two approaches have been combined; (i) an accountancy database analysis at estate scale and (ii) municipality level competitiveness analysis. A new resilience indicator that characterizes the capacity of an estate to absorb yield variation is also defined. The FADN database between 2000 and 2018 of ex-Languedoc-Roussillon (France) and other data are used to analyse the current situation and the past evolution of competitiveness and resilience by type of estate (type of farm: PGI and/or PDO & type of commercialization: bulk and/or bottles). The net margin, which defines competitiveness, is not correlated to yield for all types but depends on the type of commercialization and the level of specialisation. The resilience indicator shows that the net margin of estates specialized in PGI is particularly sensitive to yield declines. We also show that price evolutions seem to compensate the effect of yield losses for the majority of types. Municipality scale analysis shows the links between local pedoclimate, yield, commercialization strategies and price. Overlapping a PDO with a PGI does not always increase a municipality’s PGI competitiveness. It is difficult to make links between causes and effects due to the complexity of the wine production system. Production diversification may be a solution. Resorting to the two level of analysis helps resolving the data gap that is necessary to explore the links between yield and economic performance of the wine estates in the long term.

Adaptation to soil and climate through the choice of plant material

Choosing the rootstock, the scion variety and the training system best suited to the local soil and climate are the key elements for an economically sustainable production of wine. The choice of the rootstock/scion variety best adapted to the characteristics of the soil is essential but, by changing climatic conditions, ongoing climate change disrupts the fine-tuned local equilibrium. Higher temperatures induce shifts in developmental stages, with on the one hand increasing fears of spring frost damages and, on the other hand, ripening during the warmest periods in summer. Expected higher water demand and longer and more frequent drought events are also major concerns. The genetic control of the phenotypes, by genomic information but also by the epigenetic control of gene expression, offers a lot of opportunities for adapting the plant material to the future. For complex traits, genomic selection is also a promising method for predicting phenotypes. However, ecophysiological modelling is necessary to better anticipate the phenotypes in unexplored climatic conditions Genetic approaches applied on parameters of ecophysiological models rather than raw observed data are more than ever the basis for finding, or building, the ideal varieties of the future.