Search results for "Fe [BaMgSiO4]"

showing 10 items of 17173 documents

Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review

2020

Abstract Green fractional vegetation cover ( f c ) is an important phenotypic factor in the fields of agriculture, forestry, and ecology. Spatially explicit monitoring of f c via relative vegetation abundance (RA) algorithms, especially those based on scaled maximum/minimum vegetation index (VI) values, has been widely investigated in remote sensing research. Although many studies have explored the effectiveness of RA algorithms over the past 30 years, a literature review summarizing the corresponding theoretical background, issues, current state-of-the-art techniques, challenges, and prospects has not yet been published. The overall objective of the present study was to accomplish a compre…

010504 meteorology & atmospheric sciencesResilient Livelihoods0211 other engineering and technologies02 engineering and technologyForests01 natural sciencesNormalized Difference Vegetation IndexArticleVegetation coverAbundance (ecology)Computers in Earth SciencesAdaptationEngineering (miscellaneous)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMathematicsEstimationVegetationBiodiversity15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsRemote sensing (archaeology)Vegetation IndexAlgorithm
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Spatial variability of the relationships of runoff and sediment yield with weather types throughout the Mediterranean basin

2019

Este artículo contiene 16 páginas, 6 figuras, 2 tablas.

010504 meteorology & atmospheric sciencesRunoffErosion; Mediterranean basin; Runoff; Sediment yield; Synoptic weather types0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technology01 natural sciencesMediterranean BasinHydrology (agriculture)Erosão Produção de sedimentos Escoamento Bacia MediterrânicaSoil retrogression and degradationddc:550020701 environmental engineering0105 earth and related environmental sciencesWater Science and TechnologyHydrologyMediterranean basinSediment yieldSedimentInstitut für Umweltwissenschaften und Geographie15. Life on land6. Clean waterSynoptic weather typesErosion13. Climate actionErosion; Mediterranean basin; Runoff; Sediment yield; Synoptic weather types; Water Science and TechnologyErosionEnvironmental scienceSpatial variabilitySoil conservationSurface runoff
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SMOS-IC : a revised SMOS product based on a new effective scattering albedo and soil roughness parameterization

2017

International audience; This study presents a new SMOS (Soil Moisture and Ocean Salinity) soil moisture (SM) product based on a different scattering albedo and soil roughness parameterization: the SMOS-IC (SMOS INRA-CESBIO) data set. In this study, several parameterizations of the vegetation and soil roughness parameters (co, H-R and N-RP, P = H, V) were tested and the retrieved SM was compared against in situ observations obtained from the International Soil Moisture Network (ISMN). Firstly, values of omega = 0.10, H-R = 0.4 and N-RP = -1 (P = H, V) were found globally. Secondly, a calibration of these parameters was obtained for the different land cover categories of the International Geo…

010504 meteorology & atmospheric sciencesScattering[SDV]Life Sciences [q-bio]0211 other engineering and technologies02 engineering and technologyLand coverVegetation15. Life on landAlbedoAtmospheric sciences01 natural sciences13. Climate actionProduct (mathematics)[SDE]Environmental SciencesCalibrationEnvironmental scienceWater contentSoil roughness021101 geological & geomatics engineering0105 earth and related environmental sciences
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Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction.

2020

Changes in land cover (LC) can alter the basin hydrology by affecting the evaporation, infiltration, and surface and subsurface flow processes, and ultimately affect river water quantity and quality. This study aimed to monitor and predict the LC composition of a major, transboundary basin contributing to the Caspian Sea, the Aras River Basin (ARB). To this end, four LC maps of ARB corresponding to the years 1984, 2000, 2010, and 2017 were generated using Landsat satellite imagery from Armenia and the Nakhchivan Autonomous Republic. The LC gains and losses, net changes, exchanges, and the spatial trend of changes over 33 years (1984–2017) were investigated. The most important drivers of the…

010504 meteorology & atmospheric sciencesScienceDrainage basinland change modelerLand cover010501 environmental sciencesStructural basin01 natural sciencesremote sensingHydrology (agriculture)Satellite imagerySubsurface flow0105 earth and related environmental sciences2. Zero hungergeographygeography.geographical_feature_categorybusiness.industryQ15. Life on land6. Clean wateranthropogenic impactsWater resourcesAras River Basin13. Climate actionAgriculturetransboundary basinGeneral Earth and Planetary SciencesEnvironmental scienceWater resource managementbusinessRemote sensing
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Comparison of cloud-reconstruction methods for time series of composite NDVI data

2010

Land cover change can be assessed from ground measurements or remotely sensed data. As regards remotely sensed data, such as NDVI (Normalized Difference Vegetation Index) parameter, the presence of atmospherically contaminated data in the time series introduces some noise that may blur the change analysis. Several methods have already been developed to reconstruct NDVI time series, although most methods have been dedicated to reconstruction of acquired time series, while publicly available databases are usually composited over time. This paper presents the IDR (iterative Interpolation for Data Reconstruction) method, a new method designed to approximate the upper envelope of the NDVI time s…

010504 meteorology & atmospheric sciencesSeries (mathematics)0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyLand cover15. Life on land01 natural sciencesNormalized Difference Vegetation IndexBruit13. Climate actionCompositingmedicineEnvironmental scienceSatellite imageryNoise (video)Computers in Earth Sciencesmedicine.symptom021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpolationRemote sensingRemote Sensing of Environment
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2018

Abstract. The orientation and tectonic regime of the observed crustal/lithospheric stress field contribute to our knowledge of different deformation processes occurring within the Earth's crust and lithosphere. In this study, we analyze the influence of the thermal and density structure of the upper mantle on the lithospheric stress field and topography. We use a 3-D lithosphere–asthenosphere numerical model with power-law rheology, coupled to a spectral mantle flow code at 300 km depth. Our results are validated against the World Stress Map 2016 (WSM2016) and the observation-based residual topography. We derive the upper mantle thermal structure from either a heat flow model combined with …

010504 meteorology & atmospheric sciencesStratigraphyPaleontologySoil ScienceGeologyCrustGeophysics15. Life on land010502 geochemistry & geophysics01 natural sciencesSeafloor spreadingMantle (geology)Stress fieldOcean surface topographyTectonicsGeophysicsRheology13. Climate actionGeochemistry and PetrologyLithosphereGeology0105 earth and related environmental sciencesEarth-Surface ProcessesSolid Earth
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Holocene land-cover reconstructions for studies on land cover-climate feedbacks

2010

The major objectives of this paper are: (1) to review the pros and cons of the scenarios of past anthropogenic land cover change (ALCC) developed during the last ten years, (2) to discuss issues related to pollen-based reconstruction of the past land-cover and introduce a new method, REVEALS (Regional Estimates of VEgetation Abundance from Large Sites), to infer long-term records of past land-cover from pollen data, (3) to present a new project (LANDCLIM: LAND cover – CLIMate interactions in NW Europe during the Holocene) currently underway, and show preliminary results of REVEALS reconstructions of the regional land-cover in the Czech Republic for five selected time windows of the Holocene…

010504 meteorology & atmospheric sciencesStratigraphyREGIONAL VEGETATION01 natural sciencesAgricultural landAbundance (ecology)ddc:551new project LANDCLIMddc:550land-cover changelcsh:TD169-171.8GLACIAL-MAXIMUMHolocenelcsh:Environmental scienceslcsh:GE1-350ClimatologyGlobal and Planetary ChangeSOUTHERN SWEDENGeologyLast Glacial MaximumVegetation[SHS.GEO]Humanities and Social Sciences/GeographyPOLLEN-REPRESENTATIONClimatologyLANDCLIMlcsh:TD172-193.5GeologiTerrestrial ecosystemCARBON-CYCLEland cover-climate feedbacks010506 paleontology117 Geography Environmental scienceslcsh:Environmental protectioneducationAnnan geovetenskap och miljövetenskapLand coverLand cover changelcsh:Environmental pollutionREVEALSSIMULATION APPROACH0105 earth and related environmental sciencesEUROPEAN CLIMATEHolocenePaleontology15. Life on landQUANTITATIVE RECONSTRUCTIONPAST VEGETATIONNW EuropeTERRESTRIAL ECOSYSTEMSEarth sciences13. Climate actionPaleoecologyOther Earth and Related Environmental Sciences
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Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers

2019

Growing interest in the proximal sensing of sun-induced chlorophyll fluorescence (SIF) has been boosted by space-based retrievals and up-coming missions such as the FLuorescence EXplorer (FLEX). The European COST Action ES1309 “Innovative optical tools for proximal sensing of ecophysiological processes” (OPTIMISE, ES1309; https://optimise.dcs.aber.ac.uk/) has produced three manuscripts addressing the main current challenges in this field. This article provides a framework to model the impact of different instrument noise and bias on the retrieval of SIF; and to assess uncertainty requirements for the calibration and characterization of state-of-the-art SIF-oriented spectroradiom…

010504 meteorology & atmospheric sciencesUFSP13-8 Global Change and BiodiversitySensor model0211 other engineering and technologiesEarth and Planetary Sciences(all)02 engineering and technology01 natural sciencesErrorsensor modelSpectroradiometerSun-induced chlorophyll fluorescencesun-induced chlorophyll fluorescence; spectroradiometer; sensor model; uncertainty; errorCalibrationCost actionuncertaintylcsh:ScienceChlorophyll fluorescencesun-induced chlorophyll fluorescence/dk/atira/pure/subjectarea/asjc/1900021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingNoise (signal processing)1900 General Earth and Planetary SciencesUncertaintySensor modelReflectivityerror3. Good healthValidation methodsSpectroradiometerspectroradiometerEnvironmental science570 Life sciences; biologyGeneral Earth and Planetary Scienceslcsh:QRemote Sensing
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Using hydrological connectivity to detect transitions and degradation thresholds: Applications to dryland systems

2020

In arid and semi-arid ecosystems, shortage of water can trigger changes in landscapes’ structures and function leading to degradation and desertification. Hydrological connectivity is a useful framework for understanding water redistribution and scaling issues associated with runoff and sediment production, since human and/or natural disturbances alter surface water availability and pathways increasing/decreasing connectivity. In this paper, we illustrate the use of the connectivity framework for several examples of dryland systems that are analysed at a variety of spatial and temporal scales. In doing so, we draw particular attention to the analysis of coevolution of system structures and …

010504 meteorology & atmospheric sciencesWater en Landgebruikmedia_common.quotation_subjectWetlandSemi-arid environments01 natural sciencesSoilBodemSoil Water and Land UseTemporal scales0105 earth and related environmental sciencesEarth-Surface Processesmedia_commongeographygeography.geographical_feature_categoryWIMEKbusiness.industryWater and Land UseEnvironmental resource management04 agricultural and veterinary sciencesVegetation15. Life on landBodemfysica en LandbeheerPE&RCHydrological connectivityAridLandscape evolutionGeoecologyBodem Water en LandgebruikSoil Physics and Land ManagementDesertification040103 agronomy & agricultureLand degradationErosion0401 agriculture forestry and fisheriesEnvironmental scienceLand degradationbusinessSurface runoff
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Soil erosion processes in European vineyards: A qualitative comparison of rainfall simulation measurements in Germany, Spain and France

2016

Small portable rainfall simulators are considered a useful tool to analyze soil erosion processes in cultivated lands. European research groups in Spain (Valencia, Málaga, Lleida, Madrid and La Rioja), France (Reims) and Germany (Trier) have used different rainfall simulators (varying in drop size distribution and fall velocities, kinetic energy, plot forms and sizes, and field of application) to study soil loss, surface flow, runoff and infiltration coefficients in different experimental plots (Valencia, Montes de Málaga, Penedès, Campo Real and La Rioja in Spain, Champagne in France and Mosel-Ruwer valley in Germany). The measurements and experiments developed by these research teams give…

010504 meteorology & atmospheric sciencesWater en Landgebruiksoil hydrologyOceanography01 natural sciencesRUISSELLEMENTSoilvineyardsBodemSoil Water and Land UseQualitative comparisonlcsh:ScienceWaste Management and DisposalWater Science and Technology2. Zero hungerSoil classification04 agricultural and veterinary sciencesqualitative comparisonPE&RCInfiltration (hydrology)INFILTRATIONERODIBILITE DU SOLPRECIPITATIONErosionWEPPSIMULATION DE PLUIESoil hydrologyEAU DU SOLSoil scienceVIGNESoil lossETUDE COMPARATIVE[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology0105 earth and related environmental sciencesEarth-Surface ProcessesTerroirHydrologysoil erosionWater and Land UseTERRE CULTIVABLEECOULEMENT DE SURFACErainfall simulation15. Life on landBodemfysica en LandbeheerVineyardsRainfall simulationBodem Water en LandgebruikSoil Physics and Land Managementrainfall simulation; soil erosion; soil hydrology; qualitative comparison; vineyardsrainfall simulation soil erosion soil hydrology qualitative comparison vineyards040103 agronomy & agricultureRainfall simulationSoil erosion0401 agriculture forestry and fisheriesEnvironmental sciencelcsh:QSurface runoffMETHODOLOGIE
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