Search results for " Index"

showing 10 items of 4978 documents

Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

2011

International audience; In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phonological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION da…

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science02 engineering and technologyLand coverSPRING PHENOLOGYPhonologyTemperate deciduous forest01 natural sciencesPLANT PHENOLOGYGLOBAL CHANGEComputers in Earth SciencesBeechVEGETATION PHENOLOGY021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCLIMATE-CHANGEbiologyPhenologyElevationLeaf unfoldingGeologyVegetation15. Life on landbiology.organism_classificationDeciduous forestNOAA-AVHRRDeciduousMODISTemporal unmixingHIGH-LATITUDES13. Climate actionElevation[SDE]Environmental SciencesSATELLITE DATAEnvironmental scienceCommon spatial patternVEGETATIONPerpendicular vegetation indexREMOTE-SENSING DATARemote Sensing of Environment
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Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production

2019

Abstract Assessing farm profitability and economic risk is important to support farmers' decisions. Several factors affect yields and product prices, in turn influencing farmers' income level and economic risk. However, the literature has often neglected to explicitly account for the role of product quality. This is particularly important for crops such as hazelnut because farmers' prices vary according to the quality of the harvested product. Furthermore, it seems fundamental to disentangle the role of parameters influencing farm results, noticeably yield, product price and quality. This is because farmers select their risk management tools to satisfy their needs, but these are often suita…

010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectDistribution (economics)Risk management toolsGross margin01 natural sciencesGross marginAgricultural scienceSettore AGR/01 - Economia Ed Estimo RuraleMarket priceProduction (economics)Monte Carlo analysiQuality (business)Product (category theory)Risk assessment0105 earth and related environmental sciencesmedia_commonbusiness.industrySensitivity analysis.Stochastic simulation04 agricultural and veterinary sciencesStepwise regression040103 agronomy & agriculture0401 agriculture forestry and fisheriesAnimal Science and ZoologyProfitability indexBusinessAgronomy and Crop ScienceAgricultural Systems
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Analysis of the radar vegetation index and assessment of potential for improvement

2018

The Radar Vegetation Index (RVI) is widely applied to indicate vegetation cover. The index includes the backscattering intensities of co- and cross-polarization that do not only contain information coming from vegetation scattering at longer wavelength (L-band), but also from the soil underneath. A forward modelling approach using active and passive microwave-derived parameters to obtain the scattering contribution of the soil is pursued. The idea of this research study is a subtraction of the attenuated soil scattering contribution from the measured backscattering intensities, to provide a clean vegetation-based solution, called improved RVI (RVII). For latter analysis, the vegetation volu…

010504 meteorology & atmospheric sciencesmicrowave[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil science02 engineering and technology01 natural scienceslaw.inventionVegetation coverlawmedicineRange (statistics)RadarComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarVegetationScatteringSMAP15. Life on landWavelength[SDE]Environmental SciencesVegetation water contentEnvironmental scienceactive-passive sensingmedicine.symptomVegetation IndexVegetation (pathology)Cartography
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Rare earth element and neodymium isotope tracing of sedimentary rock weathering

2020

Chemical weathering plays an important role in sequestering atmospheric CO2, but its potential influence on global climate over geological timescales remains debated. To some extent, this uncertainty arises from the difficulty in separating the respective contribution of sedimentary and crystalline silicate rocks to past weathering rates in the geological record; two types of rocks having presumably different impact on the long-term carbon cycle. In this study, we investigate the use of rare earth element (REE) and neodymium isotopes (εNd) in leached iron oxide fractions of river sediments for tracing the origin of weathered rocks on continents. A new index, called ‘concavity index’ (CI), i…

010504 meteorology & atmospheric sciencessub-01Mid-REE enrichmentGeochemistrySilicate weatheringWeatheringConcavity indexengineering.materialStructural basin010502 geochemistry & geophysicsGeologic record01 natural sciencesIron oxideschemistry.chemical_compoundGeochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry[CHIM]Chemical Sciences0105 earth and related environmental sciencesgeographygeography.geographical_feature_categorySulphide weatheringNeodymium isotopesGeology15. Life on landWorld riversSilicateCratonchemistry13. Climate actionCarbonate weatheringengineeringCarbonateSedimentary rockPyriteGeology
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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Mercury emissions from soils and fumaroles of Nea Kameni volcanic centre, Santorini (Greece)

2013

There have been limited studies to date targeting mercury emissions from volcanic fumarolic systems, and no mercury flux data exist for soil or fumarolic emissions at Santorini volcanic complex, Greece. We present results from the first geochemical survey of Hg and major volatile (CO2, H2S, H2O and H-2) concentrations and fluxes in the fumarolic gases released by the volcanic/hydrothermal system of Nea Kameni islet; the active volcanic center of Santorini. These data were obtained using a portable mercury spectrometer (Lumex 915+) for gaseous elemental mercury (GEM) determination, and a Multi-component Gas Analyzer System (Multi-GAS) for major volatiles. Gaseous Elemental Mercury (GEM) conc…

010504 meteorology & atmospheric sciencesvolcanogenic mercury volcanic degassing Santorini mercury flux inventory trace metalsEarth sciencetrace metalsAir pollutionchemistry.chemical_element010502 geochemistry & geophysicsmedicine.disease_cause01 natural scienceschemistry.chemical_compoundGeochemistry and Petrologymercury flux inventorymedicinevolcanogenic mercuryAir quality index0105 earth and related environmental sciencesgeographySantorinigeography.geographical_feature_categoryFumaroleSettore GEO/08 - Geochimica E VulcanologiaMercury (element)GeophysicschemistryVolcano13. Climate actionEnvironmental chemistryCarbon dioxideSoil watervolcanic degassingGeologyGEOCHEMICAL JOURNAL
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A 1286‐year hydro‐climate reconstruction for the Balkan Peninsula

2018

We present a June-July drought reconstruction based on the standardized precipitation index (SPI) for the Balkan Peninsula over the period 730-2015 CE. The reconstruction is developed using a compo ...

010506 paleontologyArcheologyBalkan peninsula010504 meteorology & atmospheric sciencesPeriod (geology)GeologyPhysical geographyPrecipitation index01 natural sciencesEcology Evolution Behavior and SystematicsGeology0105 earth and related environmental sciencesBoreas
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Geographical and bathymetric distribution of foraminiferal assemblages from the Alboran Sea (western Mediterranean)

2018

A total of 176 surface sediment samples, recovered in the Alboran Sea by the oceanographic vessel Vizconde de Eza during the 2002 and 2003 campaigns, were analysed for their foraminiferal content. Planktonic and benthic foraminifera were picked up, studied and classified. In addition, a series of diversity indices were calculated. An attempt was made to correlate diversity (Fisher alpha index) with longitude, latitude and depth. Planktonic assemblages are strongly dominated by the species Globorotalia inflata (d’Orbigny) together with Globigerina bulloides d’Orbigny. Correlation analysis show only a weak relation between planktonic foraminiferal diversity and both longitude and distance to …

010506 paleontologybiologyGlobigerina bulloides010502 geochemistry & geophysicsbiology.organism_classification01 natural sciencesBathyal zoneLatitudeForaminiferaPaleontologyTextulariaDiversity indexOceanographyBenthosBenthic zoneGeology0105 earth and related environmental sciencesEarth-Surface ProcessesQuaternary International
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Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiati…

2019

[Purpose of Review] We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to pigment absorption and chlorophyll fluorescence emission, and of their capability to monitor vegetation health. Part 1 provides an overview of the main physiological indicators (PIs) applied in remote sensing to detect alterations in plant functioning linked to vegetation diseases and decline processes. Part 2 reviews the recent advances in the development of quantitative methods to assess PI through hyperspectral and thermal images.

0106 biological sciences010504 meteorology & atmospheric sciencesHigh resolutionVegetation healthPhotochemical Reflectance Index01 natural sciencesVegetation indicesPhysiological indicatorsRadiative transfermedicineEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape ConservationRemote sensingRadiative transfer modelsEcologyWarning systemHyperspectral and thermal dataHyperspectral imagingForestry15. Life on land13. Climate actionRemote sensing (archaeology)Temporal resolutionEnvironmental sciencemedicine.symptomVegetation (pathology)010606 plant biology & botany
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