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The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.

  • Rural Digital Europe
  • 2017-2021
  • Publications
  • Preprint
  • Hal-Diderot

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: AUGERAUD VERON, Emmanuelle; FABBRI, G.; SCHUBERT, K.;

    International audience; How can decentralized individual decisions inefficiently reduce the ability of biodiversity to mitigate ecological and environmental variability and then its "natural insurance" role? In this article we present a simple theoretical setup to address this question and to evaluate some policy options. We study a model of strategic competition among farmers for the conversion of a natural forest to agricultural land. Unconverted forest land allows to conserve biodiversity, which contributes to reducing the volatility of agricultural production. Agents' utility is given in terms of a Kreps Porteus stochastic differential utility capable of disentangling risk aversion and aversion to fluctuations. We characterize the land used by each farmer and her welfare at the Nash equilibrium, we evaluate the overexploitation of the land and the agents' welfare loss compared to the socially optimal solution and we study the drivers of the inefficiencies of the decentralized equilibrium. After characterizing the value of biodiversity in the model, we use it to obtain a decomposition which helps to study the policy implications of the model by identifying in which cases the allocation of property rights is preferable to the introduction of a tax on land conversion. Our results suggest that enforcing property rights is more relevant in case of stagnant economies while taxing land conversion may be more suited for rapidly developing economies.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Oskar Bordeauxarrow_drop_down
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    Oskar Bordeaux
    Article . 2021
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    Oskar Bordeaux
    Article . 2021
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Ecological Economics
    Article . 2021 . Peer-reviewed
    License: Elsevier TDM
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Cedric Tourain; F. Piras; Annabelle Ollivier; Danièle Hauser; +5 Authors

    The accuracy of sea surface parameters retrieved from altimeter missions is predominantly governed by the choice of the so-called ``retracking'' algorithm, i.e., the model and inversion method implemented to obtain the surface parameters from the backscattered waveform. For continuity reasons, the choice of space agencies is usually to apply the same retracker from one satellite mission to the other to ensure long-time homogeneous series. In this article, taking the opportunity of a new configuration of the nadir pointing measurements onboard the recently launched China France Oceanography Satellite (CFOSAT) with the Surface Waves Investigation and Monitoring (SWIM) instrument (Hauser et al., 2020), the retracking method was upgraded, by implementing a novel algorithm, called ``Adaptive'' retracker. It combines the improvements brought by Poisson et al., (2018) for the estimation of surface parameters from peaked waveforms over sea ice, improvements in the way the instrumental characteristics are considered in the model (mispointing, point target response) and a more accurate consideration of speckle statistics. In this article, we first show from simulations carried out in the instrumental configuration of SWIM that the Adaptive algorithm has better accuracy and performance than the classical MLE4 algorithm. Then, the geophysical parameters obtained with real data from SWIM are analyzed with comparisons to reference data sets (model and products from altimeters). We show that this new algorithm has several benefits with respect to the classical MLE4 method: no need of lookup tables to correct biases, significant noise reduction on all geophysical variables especially the significant wave height, and performance of inversion over a large set of echo shapes, resulting from standard oceanic scenes as well as highly specular conditions such as over bloom or sea ice.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IEEE Transactions on...arrow_drop_down
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    IEEE Transactions on Geoscience and Remote Sensing
    Article . 2021 . Peer-reviewed
    License: IEEE Copyright
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: David Chavalarias; Quentin Lobbé; Alexandre Delanoë;

    « Dessine-moi un mouton » a demandé le Petit Prince à Saint-Exupéry. Que se serait-il passé s'il lui avait demandé de dessiner la science ? Comment aurait-il pu s’y prendre et qu'aurions-nous pu apprendre de cette expérience ? Dans cet article, nous abordons la question de la représentation de la science en tirant parti de la numérisation massive de la production scientifique, et en nous concentrant sur son corpus de connaissances. Nous démontrons comment nous pouvons reconstruire, à partir des traces numériques massives de la science, une représentation relativement précise et concise de ses structures dynamiques, qui peut être saisie par l'esprit humain et explorée de manière interactive. À cette fin, nous mobilisons l’approche systèmes complexe pour formaliser les notions de niveau et d'échelle dans le cas des dynamiques de la connaissance ; puis nous introduisons une nouvelle définition formelle des réseaux phylomemetiques, objets mathématiques qui reconstruisent les dynamiques de la connaissance. Nous proposons ensuite un nouvel algorithme de reconstruction des réseaux phylomemetiques, plus performant que ce qui avait été proposé jusqu’alors. Nous montrons également comment cette approche permet de définir naturellement un nouveau type de clustering temporel sur les graphes dynamiques. Enfin, nous montrons sur plusieurs cas d’étude que cette approche produit des représentations de la dynamique des connaissances proches de celles que l'on obtient en synthétisant des points de vue d'experts. The little prince asked Saint-Exupéry to draw him a sheep, but what if he had asked him to be drawn Science? How could he have done it and what could we have learned from it? In this article, we address the question of ``drawing science'' by taking advantage of the massive digitization of scientific production, and focusing on its body of knowledge. We demonstrate how we can reconstruct, from the massive digital traces of science, a reasonably precise and concise approximation of its dynamical structures that can be grasped by the human mind and explored interactively. For this purpose, we formalize the notion of level and scale of knowledge dynamics as complex systems and we introduce a new formal definition for phylomemetic networks as dynamical reconstruction of knowledge dynamics. We propose a new reconstruction algorithm for phylomemetic networks that outperforms previous ones and demonstrate how this approach also makes it possible to define a new temporal clustering on dynamical graphs. Finally, we show in case studies that this approach produces representations of knowledge dynamics close to the ones that can be obtained by synthesizing the points of view of experts on a given domain.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
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    Hyper Article en Ligne
    Other literature type . 2021
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    Scientometrics
    Article
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Scientometrics
    Article . 2021 . Peer-reviewed
    License: Springer TDM
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jean-Claude Roger; Eric Vermote; Sergii Skakun; Emilie Murphy; +5 Authors

    Aerosols play a critical role in radiative transfer within the atmosphere, and they have a significant impact on climate change. As part of the validation of atmospheric correction of remote sensing data affected by the atmosphere, it is critical to utilize appropriate aerosol models as aerosols are a main source of error. In this paper, we propose and demonstrate a framework for building and identifying an aerosol model. For this purpose, we define the aerosol model by recalculating the aerosol microphysical properties (Cvf, Cvc, %Cvf, %Cvc, rvf, rvc, σr, σc, nr440, nr650, nr850, nr1020, ni440, ni650, ni850, ni1020, %Sph) based on the optical thickness at 440 nm τ440 and the Ångström coefficient α440–870 obtained from numerous AERosol RObotic NETwork (AERONET) sites. Using aerosol microphysical properties provided by the AERONET dataset, we were able to evaluate our own retrieved microphysical properties. The associated uncertainties are up to 23 %, except for the challenging, imaginary part of the refractive index ni (about 38 %). Uncertainties of the retrieved aerosol microphysical properties were incorporated in the framework for validating surface reflectance derived from space-borne Earth observation sensors. Results indicate that the impact of aerosol microphysical properties varies 3.5 × 10−5 to 10−3 in reflectance units. Finally, the uncertainties of the microphysical properties yielded an overall uncertainty of approximately of 1 to 3 % of the retrieved surface reflectance in the MODIS red spectral band (620–670 nm), which corresponds to the specification used for atmospheric correction.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://amt.copernic...arrow_drop_down
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    https://amt.copernicus.org/pre...
    Preprint
    License: CC BY
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    https://doi.org/10.5194/amt-20...
    Preprint . 2021 . Peer-reviewed
    License: CC BY
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1109/igarss...
    Conference object . 2022 . Peer-reviewed
    License: STM Policy #29
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://amt.copernic...arrow_drop_down
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      https://amt.copernicus.org/pre...
      Preprint
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      https://doi.org/10.5194/amt-20...
      Preprint . 2021 . Peer-reviewed
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      https://doi.org/10.1109/igarss...
      Conference object . 2022 . Peer-reviewed
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    Authors: Quinton, Félix; Landrieu, Loic;

    While annual crop rotations play a crucial role for agricultural optimization, they have been largely ignored for automated crop type mapping. In this paper, we take advantage of the increasing quantity of annotated satellite data to propose the first deep learning approach modeling simultaneously the inter- and intra-annual agricultural dynamics of parcel classification. Along with simple training adjustments, our model provides an improvement of over 6.3 mIoU points over the current state-of-the-art of crop classification. Furthermore, we release the first large-scale multi-year agricultural dataset with over 300,000 annotated parcels. Comment: Published in Remote Sensing

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    Remote Sensing
    Other literature type . Article . 2021 . Peer-reviewed
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    Authors: Benjamin Witschas; Christian Lemmerz; Oliver Lux; Uwe Marksteiner; +7 Authors

    In August 2018, the European Space Agency (ESA) launched the first Doppler wind lidar into space, which has since then been providing continuous profiles of the horizontal line-of-sight wind component at a global scale. Aeolus data have been successfully assimilated into several numerical weather prediction (NWP) models and demonstrated a positive impact on the quality of the weather forecasts. To provide valuable input data for NWP models, a detailed characterization of the Aeolus instrumental performance as well as the realization and minimization of systematic error sources is crucial. In this paper, Aeolus interferometer spectral drifts and their potential as systematic error sources for the aerosol and wind products are investigated by means of instrument spectral registration (ISR) measurements that are performed on a weekly basis. During these measurements, the laser frequency is scanned over a range of 11 GHz in steps of 25 MHz and thus spectrally resolves the transmission curves of the Fizeau interferometer and the Fabry–Pérot interferometers (FPIs) used in Aeolus. Mathematical model functions are derived to analyze the measured transmission curves by means of non-linear fit procedures. The obtained fit parameters are used to draw conclusions about the Aeolus instrumental alignment and potentially ongoing drifts. The introduced instrumental functions and analysis tools may also be applied for upcoming missions using similar spectrometers as for instance EarthCARE (ESA), which is based on the Aeolus FPI design.

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    Authors: Johann Laconte; Abderrahim Kasmi; François Pomerleau; Roland Chapuis; +3 Authors

    In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one must deal with known probabilistic obstacles, then compute the probability of collision with each obstacle. However, in complex scenarios or unstructured environments, it might be difficult to detect such obstacles. In these cases, a metric map is used, where each position stores the information of occupancy. The most common type of metric map is the Bayesian occupancy map. However, this type of map is not well suited for computing risk assessments for continuous paths due to its discrete nature. Hence, we introduce a novel type of map called the Lambda Field, which is specially designed for risk assessment. We first propose a way to compute such a map and the expectation of a generic risk over a path. Then, we demonstrate the benefits of our generic formulation with a use case defining the risk as the expected collision force over a path. Using this risk definition and the Lambda Field, we show that our framework is capable of doing classical path planning while having a physical-based metric. Furthermore, the Lambda Field gives a natural way to deal with unstructured environments, such as tall grass. Where standard environment representations would always generate trajectories going around such obstacles, our framework allows the robot to go through the grass while being aware of the risk taken. Comment: Published in the Special Issue "Frontiers in Mobile Robot Navigation" of Sensors. https://www.mdpi.com/1424-8220/21/22/7562

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    Authors: Guérin, Charles-Antoine; Dumas, Dylan; Molcard, Anne; Quentin, Céline Gwenaëlle; +3 Authors

    We report on the installation and first results of one compact oceanographic radar in the region of Nice for a long-term observation of the coastal surface currents in the North-West Mediterranean Sea. We describe the specific processing and calibration techniques which were developed at the laboratory to produce high-quality radial surface current maps. In particular, we propose an original self-calibration technique of the antenna patterns, which is based on the sole analysis of the databasis and does not require any shipborne transponder or other external transmitters. The relevance of the self-calibration technique and the accuracy of inverted surface currents have been assessed with the launch of 40 drifters that remained under the radar coverage for about 10 days. Comment: 14 pages, 11 figures, 4 tables

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  • Authors: Becerra-Valbuena, Luis Guillermo;

    This article analyses the effects of droughts and climate variability on short-term and medium-term adaptation of Colombian rural households. I measure drought in a Differencesin-Differences (DID) framework, as an alternative to the standard approaches decomposing the effects from climate and yearly weather deviations on agricultural productivity and those using the growing degree days and harmful degree days. In the short-term and mediumterm, rural households adapt to the drought of 2010 by increasing the total area planted in crops and livestock, (increasing also the total gross agricultural productivity in value terms) and by working more on the farm. The droughts also increased the use of external sources of water in the farm and made rural households postpone non-housing investments in the farm. I find heterogeneous effects according to the long run mean of temperature in the municipality. Higher temperature affects positively gross agricultural productivity in low-temperature municipalities but negatively high-temperature municipalities. Cereals and coffee seem to benefit from higher temperatures, while vegetables and fruits are more affected.

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    Authors: Yann Desmarais; Denis Mottet; Pierre Slangen; Philippe Montesinos;

    Human pose estimation is a very active research field, stimulated by its important applications in robotics, entertainment or health and sports sciences, among others. Advances in convolutional networks triggered noticeable improvements in 2D pose estimation, leading modern 3D markerless motion capture techniques to an average error per joint of 20 mm. However, with the proliferation of methods, it is becoming increasingly difficult to make an informed choice. Here, we review the leading human pose estimation methods of the past five years, focusing on metrics, benchmarks and method structures. We propose a taxonomy based on accuracy, speed and robustness that we use to classify de methods and derive directions for future research. Comment: 25 pages, 3 figures

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    Computer Vision and Image Understanding
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: AUGERAUD VERON, Emmanuelle; FABBRI, G.; SCHUBERT, K.;

    International audience; How can decentralized individual decisions inefficiently reduce the ability of biodiversity to mitigate ecological and environmental variability and then its "natural insurance" role? In this article we present a simple theoretical setup to address this question and to evaluate some policy options. We study a model of strategic competition among farmers for the conversion of a natural forest to agricultural land. Unconverted forest land allows to conserve biodiversity, which contributes to reducing the volatility of agricultural production. Agents' utility is given in terms of a Kreps Porteus stochastic differential utility capable of disentangling risk aversion and aversion to fluctuations. We characterize the land used by each farmer and her welfare at the Nash equilibrium, we evaluate the overexploitation of the land and the agents' welfare loss compared to the socially optimal solution and we study the drivers of the inefficiencies of the decentralized equilibrium. After characterizing the value of biodiversity in the model, we use it to obtain a decomposition which helps to study the policy implications of the model by identifying in which cases the allocation of property rights is preferable to the introduction of a tax on land conversion. Our results suggest that enforcing property rights is more relevant in case of stagnant economies while taxing land conversion may be more suited for rapidly developing economies.

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    Oskar Bordeaux
    Article . 2021
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    Oskar Bordeaux
    Article . 2021
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    Ecological Economics
    Article . 2021 . Peer-reviewed
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    Authors: Cedric Tourain; F. Piras; Annabelle Ollivier; Danièle Hauser; +5 Authors

    The accuracy of sea surface parameters retrieved from altimeter missions is predominantly governed by the choice of the so-called ``retracking'' algorithm, i.e., the model and inversion method implemented to obtain the surface parameters from the backscattered waveform. For continuity reasons, the choice of space agencies is usually to apply the same retracker from one satellite mission to the other to ensure long-time homogeneous series. In this article, taking the opportunity of a new configuration of the nadir pointing measurements onboard the recently launched China France Oceanography Satellite (CFOSAT) with the Surface Waves Investigation and Monitoring (SWIM) instrument (Hauser et al., 2020), the retracking method was upgraded, by implementing a novel algorithm, called ``Adaptive'' retracker. It combines the improvements brought by Poisson et al., (2018) for the estimation of surface parameters from peaked waveforms over sea ice, improvements in the way the instrumental characteristics are considered in the model (mispointing, point target response) and a more accurate consideration of speckle statistics. In this article, we first show from simulations carried out in the instrumental configuration of SWIM that the Adaptive algorithm has better accuracy and performance than the classical MLE4 algorithm. Then, the geophysical parameters obtained with real data from SWIM are analyzed with comparisons to reference data sets (model and products from altimeters). We show that this new algorithm has several benefits with respect to the classical MLE4 method: no need of lookup tables to correct biases, significant noise reduction on all geophysical variables especially the significant wave height, and performance of inversion over a large set of echo shapes, resulting from standard oceanic scenes as well as highly specular conditions such as over bloom or sea ice.

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    IEEE Transactions on Geoscience and Remote Sensing
    Article . 2021 . Peer-reviewed
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    Authors: David Chavalarias; Quentin Lobbé; Alexandre Delanoë;

    « Dessine-moi un mouton » a demandé le Petit Prince à Saint-Exupéry. Que se serait-il passé s'il lui avait demandé de dessiner la science ? Comment aurait-il pu s’y prendre et qu'aurions-nous pu apprendre de cette expérience ? Dans cet article, nous abordons la question de la représentation de la science en tirant parti de la numérisation massive de la production scientifique, et en nous concentrant sur son corpus de connaissances. Nous démontrons comment nous pouvons reconstruire, à partir des traces numériques massives de la science, une représentation relativement précise et concise de ses structures dynamiques, qui peut être saisie par l'esprit humain et explorée de manière interactive. À cette fin, nous mobilisons l’approche systèmes complexe pour formaliser les notions de niveau et d'échelle dans le cas des dynamiques de la connaissance ; puis nous introduisons une nouvelle définition formelle des réseaux phylomemetiques, objets mathématiques qui reconstruisent les dynamiques de la connaissance. Nous proposons ensuite un nouvel algorithme de reconstruction des réseaux phylomemetiques, plus performant que ce qui avait été proposé jusqu’alors. Nous montrons également comment cette approche permet de définir naturellement un nouveau type de clustering temporel sur les graphes dynamiques. Enfin, nous montrons sur plusieurs cas d’étude que cette approche produit des représentations de la dynamique des connaissances proches de celles que l'on obtient en synthétisant des points de vue d'experts. The little prince asked Saint-Exupéry to draw him a sheep, but what if he had asked him to be drawn Science? How could he have done it and what could we have learned from it? In this article, we address the question of ``drawing science'' by taking advantage of the massive digitization of scientific production, and focusing on its body of knowledge. We demonstrate how we can reconstruct, from the massive digital traces of science, a reasonably precise and concise approximation of its dynamical structures that can be grasped by the human mind and explored interactively. For this purpose, we formalize the notion of level and scale of knowledge dynamics as complex systems and we introduce a new formal definition for phylomemetic networks as dynamical reconstruction of knowledge dynamics. We propose a new reconstruction algorithm for phylomemetic networks that outperforms previous ones and demonstrate how this approach also makes it possible to define a new temporal clustering on dynamical graphs. Finally, we show in case studies that this approach produces representations of knowledge dynamics close to the ones that can be obtained by synthesizing the points of view of experts on a given domain.

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    Other literature type . 2021
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    Scientometrics
    Article . 2021 . Peer-reviewed
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    Authors: Jean-Claude Roger; Eric Vermote; Sergii Skakun; Emilie Murphy; +5 Authors

    Aerosols play a critical role in radiative transfer within the atmosphere, and they have a significant impact on climate change. As part of the validation of atmospheric correction of remote sensing data affected by the atmosphere, it is critical to utilize appropriate aerosol models as aerosols are a main source of error. In this paper, we propose and demonstrate a framework for building and identifying an aerosol model. For this purpose, we define the aerosol model by recalculating the aerosol microphysical properties (Cvf, Cvc, %Cvf, %Cvc, rvf, rvc, σr, σc, nr440, nr650, nr850, nr1020, ni440, ni650, ni850, ni1020, %Sph) based on the optical thickness at 440 nm τ440 and the Ångström coefficient α440–870 obtained from numerous AERosol RObotic NETwork (AERONET) sites. Using aerosol microphysical properties provided by the AERONET dataset, we were able to evaluate our own retrieved microphysical properties. The associated uncertainties are up to 23 %, except for the challenging, imaginary part of the refractive index ni (about 38 %). Uncertainties of the retrieved aerosol microphysical properties were incorporated in the framework for validating surface reflectance derived from space-borne Earth observation sensors. Results indicate that the impact of aerosol microphysical properties varies 3.5 × 10−5 to 10−3 in reflectance units. Finally, the uncertainties of the microphysical properties yielded an overall uncertainty of approximately of 1 to 3 % of the retrieved surface reflectance in the MODIS red spectral band (620–670 nm), which corresponds to the specification used for atmospheric correction.

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    https://doi.org/10.5194/amt-20...
    Preprint . 2021 . Peer-reviewed
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    https://doi.org/10.1109/igarss...
    Conference object . 2022 . Peer-reviewed
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    Authors: Quinton, Félix; Landrieu, Loic;

    While annual crop rotations play a crucial role for agricultural optimization, they have been largely ignored for automated crop type mapping. In this paper, we take advantage of the increasing quantity of annotated satellite data to propose the first deep learning approach modeling simultaneously the inter- and intra-annual agricultural dynamics of parcel classification. Along with simple training adjustments, our model provides an improvement of over 6.3 mIoU points over the current state-of-the-art of crop classification. Furthermore, we release the first large-scale multi-year agricultural dataset with over 300,000 annotated parcels. Comment: Published in Remote Sensing

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    Authors: Benjamin Witschas; Christian Lemmerz; Oliver Lux; Uwe Marksteiner; +7 Authors

    In August 2018, the European Space Agency (ESA) launched the first Doppler wind lidar into space, which has since then been providing continuous profiles of the horizontal line-of-sight wind component at a global scale. Aeolus data have been successfully assimilated into several numerical weather prediction (NWP) models and demonstrated a positive impact on the quality of the weather forecasts. To provide valuable input data for NWP models, a detailed characterization of the Aeolus instrumental performance as well as the realization and minimization of systematic error sources is crucial. In this paper, Aeolus interferometer spectral drifts and their potential as systematic error sources for the aerosol and wind products are investigated by means of instrument spectral registration (ISR) measurements that are performed on a weekly basis. During these measurements, the laser frequency is scanned over a range of 11 GHz in steps of 25 MHz and thus spectrally resolves the transmission curves of the Fizeau interferometer and the Fabry–Pérot interferometers (FPIs) used in Aeolus. Mathematical model functions are derived to analyze the measured transmission curves by means of non-linear fit procedures. The obtained fit parameters are used to draw conclusions about the Aeolus instrumental alignment and potentially ongoing drifts. The introduced instrumental functions and analysis tools may also be applied for upcoming missions using similar spectrometers as for instance EarthCARE (ESA), which is based on the Aeolus FPI design.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Johann Laconte; Abderrahim Kasmi; François Pomerleau; Roland Chapuis; +3 Authors

    In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one must deal with known probabilistic obstacles, then compute the probability of collision with each obstacle. However, in complex scenarios or unstructured environments, it might be difficult to detect such obstacles. In these cases, a metric map is used, where each position stores the information of occupancy. The most common type of metric map is the Bayesian occupancy map. However, this type of map is not well suited for computing risk assessments for continuous paths due to its discrete nature. Hence, we introduce a novel type of map called the Lambda Field, which is specially designed for risk assessment. We first propose a way to compute such a map and the expectation of a generic risk over a path. Then, we demonstrate the benefits of our generic formulation with a use case defining the risk as the expected collision force over a path. Using this risk definition and the Lambda Field, we show that our framework is capable of doing classical path planning while having a physical-based metric. Furthermore, the Lambda Field gives a natural way to deal with unstructured environments, such as tall grass. Where standard environment representations would always generate trajectories going around such obstacles, our framework allows the robot to go through the grass while being aware of the risk taken. Comment: Published in the Special Issue "Frontiers in Mobile Robot Navigation" of Sensors. https://www.mdpi.com/1424-8220/21/22/7562

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    Authors: Guérin, Charles-Antoine; Dumas, Dylan; Molcard, Anne; Quentin, Céline Gwenaëlle; +3 Authors

    We report on the installation and first results of one compact oceanographic radar in the region of Nice for a long-term observation of the coastal surface currents in the North-West Mediterranean Sea. We describe the specific processing and calibration techniques which were developed at the laboratory to produce high-quality radial surface current maps. In particular, we propose an original self-calibration technique of the antenna patterns, which is based on the sole analysis of the databasis and does not require any shipborne transponder or other external transmitters. The relevance of the self-calibration technique and the accuracy of inverted surface currents have been assessed with the launch of 40 drifters that remained under the radar coverage for about 10 days. Comment: 14 pages, 11 figures, 4 tables

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  • Authors: Becerra-Valbuena, Luis Guillermo;

    This article analyses the effects of droughts and climate variability on short-term and medium-term adaptation of Colombian rural households. I measure drought in a Differencesin-Differences (DID) framework, as an alternative to the standard approaches decomposing the effects from climate and yearly weather deviations on agricultural productivity and those using the growing degree days and harmful degree days. In the short-term and mediumterm, rural households adapt to the drought of 2010 by increasing the total area planted in crops and livestock, (increasing also the total gross agricultural productivity in value terms) and by working more on the farm. The droughts also increased the use of external sources of water in the farm and made rural households postpone non-housing investments in the farm. I find heterogeneous effects according to the long run mean of temperature in the municipality. Higher temperature affects positively gross agricultural productivity in low-temperature municipalities but negatively high-temperature municipalities. Cereals and coffee seem to benefit from higher temperatures, while vegetables and fruits are more affected.

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    Authors: Yann Desmarais; Denis Mottet; Pierre Slangen; Philippe Montesinos;

    Human pose estimation is a very active research field, stimulated by its important applications in robotics, entertainment or health and sports sciences, among others. Advances in convolutional networks triggered noticeable improvements in 2D pose estimation, leading modern 3D markerless motion capture techniques to an average error per joint of 20 mm. However, with the proliferation of methods, it is becoming increasingly difficult to make an informed choice. Here, we review the leading human pose estimation methods of the past five years, focusing on metrics, benchmarks and method structures. We propose a taxonomy based on accuracy, speed and robustness that we use to classify de methods and derive directions for future research. Comment: 25 pages, 3 figures

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    Computer Vision and Image Understanding
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