Search Results - "Duthoit, Sylvie"
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On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases
Published in Remote sensing (Basel, Switzerland) (01-01-2019)“…Among grapevine diseases affecting European vineyards, Flavescence dorée (FD) and Grapevine Trunk Diseases (GTD) are considered the most relevant challenges…”
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Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery
Published in Remote sensing (Basel, Switzerland) (01-04-2017)“…Flavescence dorée is a grapevine disease affecting European vineyards which has severe economic consequences and containing its spread is therefore considered…”
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DNA barcoding the floras of biodiversity hotspots
Published in Proceedings of the National Academy of Sciences - PNAS (26-02-2008)“…DNA barcoding is a technique in which species identification is performed by using DNA sequences from a small fragment of the genome, with the aim of…”
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Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series
Published in Remote sensing (Basel, Switzerland) (01-03-2021)“…This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental…”
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Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status
Published in Remote sensing (Basel, Switzerland) (01-02-2021)“…The main challenge encountered by Mediterranean winegrowers is water management. Indeed, with climate change, drought events are becoming more intense each…”
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Towards Vine Water Status Monitoring on a Large Scale Using Sentinel-2 Images
Published in Remote sensing (Basel, Switzerland) (01-05-2021)“…Wine growing needs to adapt to confront climate change. In fact, the lack of water becomes more and more important in many regions. Whereas vineyards have been…”
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Monitoring vineyard water status using Sentinel-2 images: qualitative survey on five wine estates in the south of France
Published in OENO one (01-01-2021)“…The wine industry must face many challenges because of climate change. One of them is the increase in temperatures and droughts events. These changes sometimes…”
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How can remote sensing techniques help monitoring the vine and maximize the terroir potential?
Published in E3S web of conferences (01-01-2018)“…In each winegrowing region, the winegrower tries to value its terroir and the oenologists do their best to produce the best wine. Thanks to new remote sensing…”
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Towards a massive sentinel-2 LAI time-series production using 2-D convolutional networks
Published in Computers and electronics in agriculture (01-01-2021)“…•A fast procedure to estimate LAI products from Sentinel-2 images is proposed based on 2-D ConvNets.•The model confidence interval is introduced as a quality…”
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Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models — Application to the detection of anomalous crop development
Published in Computers and electronics in agriculture (01-07-2022)“…•We show that GMM are efficient for the joint reconstruction of vegetation indices.•A robust GMM is proposed to take into account the presence of irrelevant…”
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Estimation of leaf area and clumping indexes of crops with hemispherical photographs
Published in Agricultural and forest meteorology (16-04-2008)“…Among many indirect approaches to retrieve effective leaf area index (LAI), hemispherical photography is now widely used by the scientific community in…”
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Assessing the effects of the clumping phenomenon on BRDF of a maize crop based on 3D numerical scenes using DART model
Published in Agricultural and forest meteorology (04-07-2008)“…Inverting radiative transfer (R-T) models against remote sensing observations to retrieve key biogeophysical parameters such as leaf area index (LAI) is a…”
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Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
Published 09-05-2022“…Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for multispectral images and acquisition problems. This can be a critical…”
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Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series
Published 05-03-2021“…Remote Sens. 2021, 13(5), 956 This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection…”
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