Search results for "U30 - Méthodes de recherche"

showing 10 items of 11 documents

Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory

2018

International audience; Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability ('p-theory'), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types.…

0106 biological sciencesCanopyEarth observationPhoton010504 meteorology & atmospheric sciencesF40 - Écologie végétalehttp://aims.fao.org/aos/agrovoc/c_1920Soil Science01 natural sciencesMeasure (mathematics)http://aims.fao.org/aos/agrovoc/c_7701Multi-angle remote sensingProbability theoryhttp://aims.fao.org/aos/agrovoc/c_718Foliage clumping indexRange (statistics)http://aims.fao.org/aos/agrovoc/c_3081[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyComputers in Earth SciencesLeaf area indexhttp://aims.fao.org/aos/agrovoc/c_4039http://aims.fao.org/aos/agrovoc/c_4116Photon recollision probabilityhttp://aims.fao.org/aos/agrovoc/c_10672http://aims.fao.org/aos/agrovoc/c_32450105 earth and related environmental sciencesMathematicsRemote sensinghttp://aims.fao.org/aos/agrovoc/c_8114GeologyVegetationhttp://aims.fao.org/aos/agrovoc/c_5234http://aims.fao.org/aos/agrovoc/c_7558Leaf area indexhttp://aims.fao.org/aos/agrovoc/c_7273http://aims.fao.org/aos/agrovoc/c_1236http://aims.fao.org/aos/agrovoc/c_1556U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_4026010606 plant biology & botanyhttp://aims.fao.org/aos/agrovoc/c_6124
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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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Multifunctionality: Epistemic diversity and concept oriented research clusters

2008

International audience; This paper provides a mapping of the different uses of the word multifunctionality. To explore the diversity of meanings and interpretations, a comparative analysis was conducted through five national case studies in France, the Netherlands, Poland, Spain and Switzerland. The analysis conducted at national level makes it possible to identify eight Concept Oriented Research Clusters (CORCs), based on a relative homogeneity in the research practices, in the research questions addressed, in the concepts used or discussed by scientists to lead their work and in the scientific disciplines, the stream of thought or possibly the epistemic community researchers belong to. Th…

Méthodologie0211 other engineering and technologiesRecherche02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawEpistemic communityTerminologie01 natural sciencesPoliticshttp://aims.fao.org/aos/agrovoc/c_24907http://aims.fao.org/aos/agrovoc/c_6513Credibilityhttp://aims.fao.org/aos/agrovoc/c_3081Sociologyhttp://aims.fao.org/aos/agrovoc/c_6055http://aims.fao.org/aos/agrovoc/c_5142ComputingMilieux_MISCELLANEOUSEpistemic0105 earth and related environmental sciencesSustainable development[SHS.SOCIO]Humanities and Social Sciences/SociologyEcologyConceptualizationConceptMFA01 - Agriculture - Considérations générales021107 urban & regional planningClassificationRural SociologyEpistemologyEuropehttp://aims.fao.org/aos/agrovoc/c_7558MGSCluster[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesSustainability[SDE]Environmental SciencesMultifunctionalityNormativehttp://aims.fao.org/aos/agrovoc/c_7273U30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653Rurale Sociologiehttp://aims.fao.org/aos/agrovoc/c_12522Agronomy and Crop ScienceStrengths and weaknesses
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A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity

2015

High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two in…

TeledeteccióComputer scienceforêt tropicalehttp://aims.fao.org/aos/agrovoc/c_714remote sensingSimple (abstract algebra)K01 - Foresterie - Considérations généralesBiomassehttp://aims.fao.org/aos/agrovoc/c_6498validationUtilisation des terresEucalyptusFusionQhttp://aims.fao.org/aos/agrovoc/c_14093http://aims.fao.org/aos/agrovoc/c_9000094Plantation forestièreséquestration du carbonehttp://aims.fao.org/aos/agrovoc/c_926http://aims.fao.org/aos/agrovoc/c_1070http://aims.fao.org/aos/agrovoc/c_25409http://aims.fao.org/aos/agrovoc/c_4182P01 - Conservation de la nature et ressources foncièresSpectrométriePhénologiehttp://aims.fao.org/aos/agrovoc/c_2683TélédétectionScienceImage (mathematics)Cartographie de l'occupation du solhttp://aims.fao.org/aos/agrovoc/c_24904TermodinàmicaCouverture végétalehttp://aims.fao.org/aos/agrovoc/c_7283http://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_8176http://aims.fao.org/aos/agrovoc/c_3048MODIS; Landsat; validation; remote sensingRemote sensingChangement climatiqueSeries (mathematics)business.industryCiències de la terraPattern recognitionVégétationhttp://aims.fao.org/aos/agrovoc/c_331583Constraint (information theory)http://aims.fao.org/aos/agrovoc/c_5774SpectroradiometerMODISSatelliteGeneral Earth and Planetary SciencesArtificial intelligenceU30 - Méthodes de recherchebusinessLandsatRemote Sensing; Volume 7; Issue 1; Pages: 704-724
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Multifunctionality: refocusing a spreading, loose and fashionable concept for looking at sustainability?

2008

International audience; The notion of agriculture's Multifunctionality (MF) emerged in the 1980s. It then followed two trajectories since the 1990s: a conflicting period linked to its use in the international trade negotiations on the one hand, a spreading in terms of meaning, use and geographically on the other hand. Specific meanings appeared in connection with policy making, at national or international levels, or through the involvement of new disciplines. Yet, very few authors discuss the implication of the chosen meaning on their findings. To explore and take advantage of using this word and to deliver it from its controversial use in international trade negotiations, it is absolutely…

[SDE] Environmental Sciences010501 environmental sciencesTerminologie01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_35332Sustainable developmentSociologymedia_common[SHS.SOCIO]Humanities and Social Sciences/SociologyEcology05 social scienceshttp://aims.fao.org/aos/agrovoc/c_2801http://aims.fao.org/aos/agrovoc/c_201Secteur agricoleRural SociologyNegotiationEconomySustainability[SDE]Environmental SciencesMultifunctionality[SHS.GESTION]Humanities and Social Sciences/Business administration050202 agricultural economics & policyIdeologyRurale SociologiePeriod (music)Méthodologiemedia_common.quotation_subjectRechercheManagement Monitoring Policy and Lawhttp://aims.fao.org/aos/agrovoc/c_24907http://aims.fao.org/aos/agrovoc/c_65130502 economics and businessPolicy makingAgricultural policyMeaning (existential)E10 - Économie et politique agricoles0105 earth and related environmental sciencesSDSustainable developmentConceptMF[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnologyEpistemologyDéveloppement durableMGS[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesSustainabilityU30 - Méthodes de recherchePolitique agricolehttp://aims.fao.org/aos/agrovoc/c_12522Agronomy and Crop ScienceDiversity (politics)
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Nodulating symbiotic bacteria and soil quality

2005

Chapitre 9 : Plant microbe interactions and soil quality Partie : 9-2; International audience

[SDE] Environmental SciencesFixation de l'azotehttp://aims.fao.org/aos/agrovoc/c_7170http://aims.fao.org/aos/agrovoc/c_2736[SDV]Life Sciences [q-bio]Biologie du solSymbioseNITROGEN FIXATIONnodosité racinaireFertilité du solhttp://aims.fao.org/aos/agrovoc/c_27939LégumineuseBactérie fixatrice de l'azotehttp://aims.fao.org/aos/agrovoc/c_7563http://aims.fao.org/aos/agrovoc/c_4255P35 - Fertilité du solhttp://aims.fao.org/aos/agrovoc/c_7160P34 - Biologie du solhttp://aims.fao.org/aos/agrovoc/c_27601[SDV] Life Sciences [q-bio]PLANT ROOTS[SDE]Environmental SciencesÉvaluationU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_5196http://aims.fao.org/aos/agrovoc/c_6563Rhizobium
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Evaluation agroécologique de systèmes de culture en zone tropicale humide : Cas de la mise en valeur agricole d'une savane herbacée acide (Plaine des…

2013

Dans les régions tropicales humides, concilier intensification agricole et protection des ressources naturelles est un défi majeur et difficile à relever. Dans les savanes acides du nord-est laotien, des systèmes de culture de semis direct sur couverture végétale (SCV), basés sur les trois principes du non-labour, d’une couverture permanente du sol, et sur la pratique de rotations culturales diversifiées, sont proposés comme alternative technique à l’intensification agricole conventionnelle basée sur le labour. Si ces systèmes ont connu une diffusion importante et rapide dans les grandes agricultures mécanisées, leur diffusion reste néanmoins à ce jour limitée en contexte de petite agricult…

[SDE] Environmental SciencesH01 - Protection des végétaux - Considérations généralesSemis directhttp://aims.fao.org/aos/agrovoc/c_28568http://aims.fao.org/aos/agrovoc/c_28766solF08 - Systèmes et modes de culturesavane tropicale acideagroécologieBiologie du solhttp://aims.fao.org/aos/agrovoc/c_7193Performance de cultureNon-travail du sol[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Savanehttp://aims.fao.org/aos/agrovoc/c_8511http://aims.fao.org/aos/agrovoc/c_3145http://aims.fao.org/aos/agrovoc/c_35657Petite agricultureévaluation agroécologiquehttp://aims.fao.org/aos/agrovoc/c_7182Sol acidehttp://aims.fao.org/aos/agrovoc/c_25803http://aims.fao.org/aos/agrovoc/c_1919http://aims.fao.org/aos/agrovoc/c_765http://aims.fao.org/aos/agrovoc/c_92381[SDV] Life Sciences [q-bio]Pratique culturaleLaosagriculture de conservationhttp://aims.fao.org/aos/agrovoc/c_7979Micro-organisme du solhttp://aims.fao.org/aos/agrovoc/c_89Zone tropicaleP33 - Chimie et physique du solÉcologieExploitation agricole familialehttp://aims.fao.org/aos/agrovoc/c_37938Spectroscopie infrarougeChampignonAnalyse coût avantageCulture sous couvert végétalMatière organique du solhttp://aims.fao.org/aos/agrovoc/c_36167http://aims.fao.org/aos/agrovoc/c_4176http://aims.fao.org/aos/agrovoc/c_12076http://aims.fao.org/aos/agrovoc/c_35199Propriété physicochimique du solécologie microbienneBacteriaProductivité des terressemis direct sur couverture végétaleP35 - Fertilité du solÉvaluation de l'impacthttp://aims.fao.org/aos/agrovoc/c_7160P34 - Biologie du solE80 - Économie familiale et artisanaleAnalyse économiqueTaxonomiehttp://aims.fao.org/aos/agrovoc/c_25706structure agrairehttp://aims.fao.org/aos/agrovoc/c_6825http://aims.fao.org/aos/agrovoc/c_2787Système de culturehttp://aims.fao.org/aos/agrovoc/c_2469http://aims.fao.org/aos/agrovoc/c_1971http://aims.fao.org/aos/agrovoc/c_17299U30 - Méthodes de recherchePlante de culturehttp://aims.fao.org/aos/agrovoc/c_2467http://aims.fao.org/aos/agrovoc/c_1972Cycle du carbonehttp://aims.fao.org/aos/agrovoc/c_7631
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Chocolates classification according to their volatile compounds fingerprints measured by PTR-ToF-MS

2017

Dark chocolates develop several organoleptic characteristics depending on cocoa origin, cocoa variety and fabrication process. These parameters influence the chemical composition of the chocolates, and among other components volatile organic compounds (VOCs) responsible for aroma mainly determine their sensory perception. Sensory evaluation is able to discriminate chocolates with various organoleptic properties. Proton Transfer Reaction Mass Spectrometry (PTR-MS) is capable of monitoring VOCs released in foodstuffs headspace at ppb level in real time. But is PTR-MS able to discriminate chocolates as sensory analysis does? To answer this question, 192 dark chocolates produced from cocoa bean…

[SDV.AEN] Life Sciences [q-bio]/Food and NutritionchocolateU30 - Méthodes de rechercheQ04 - Composition des produits alimentaires[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUSPTR-MS
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Geostatistical computing of acoustic maps in the presence of barriers

2009

Acoustic maps are the main diagnostic tools used by authorities for addressing the growing problem of urban acoustic contamination. Geostatistics models phenomena with spatial variation, but restricted to homogeneous prediction regions. The presence of barriers such as buildings introduces discontinuities in prediction areas. In this paper we investigate how to incorporate information of a geographical nature into the process of geostatistical prediction. In addition, we study the use of a Cost-Based distance to quantify the correlation between locations.

acoustic mapsComputer sciencehttp://aims.fao.org/aos/agrovoc/c_8085non_euclidean geostatisticsClassification of discontinuities010502 geochemistry & geophysicsDiagnostic toolscomputer.software_genre01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_35131acousticcomputational methods010104 statistics & probabilitySystème d'information géographique11. Sustainability[STAT.CO]Statistics [stat]/Computation [stat.CO]http://aims.fao.org/aos/agrovoc/c_98[STAT.AP]Statistics [stat]/Applications [stat.AP]mapshttp://aims.fao.org/aos/agrovoc/c_49911Propriété acoustiquetechnique de prévisionhttp://aims.fao.org/aos/agrovoc/c_ded17449B10 - GéographieComputer Science Applicationscost-Based distanceHomogeneousModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_7251Data miningGéostatistiques[STAT.ME]Statistics [stat]/Methodology [stat.ME]Zone urbaineSon (acoustique)Process (engineering)Geostatisticscost_surfacegiscomputinghttp://aims.fao.org/aos/agrovoc/c_3041Modelling and Simulationacoustiquegeostatistics0101 mathematics0105 earth and related environmental sciencesbusiness.industry[SDE.ES]Environmental Sciences/Environmental and SocietySpatial variabilityArtificial intelligenceU30 - Méthodes de recherchebusinesscomputerMathematical and Computer Modelling
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