Search results for "Vegetation"

showing 10 items of 1069 documents

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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Analysis of drought and vulnerability in the North Darfur region of Sudan

2018

North Darfur of Sudan is located on the edge of the Sahara Desert and endures frequent droughts due to water shortages and high summer temperatures. Monitoring and understanding drought characteristics are essential for integrated drought risk mitigation and prevetion of land degradation. This study evaluates drought conditions in North Darfur by analyzing the spatiotemporal distribution of drought using three drought indices (Standardized Precipitation Index, Vegetation Condition Index, and Soil Moisture Content Index) and their combined drought index (CDI) from 2004 to 2013. Biophysical and socioeconomic indicators are further used to measure vulnerability to drought risk and its three co…

010504 meteorology & atmospheric sciencesVulnerability index0208 environmental biotechnologyVulnerabilitySoil Sciencedrought02 engineering and technologyDevelopmentMonsoon01 natural sciencesremote sensingCondition indexparasitic diseasesEnvironmental Chemistrymeteorology0105 earth and related environmental sciencesGeneral Environmental ScienceAdaptive capacityfungifood and beveragesVegetationBodemfysica en LandbeheerPE&RC020801 environmental engineeringSoil Physics and Land ManagementGeographyvulnerability indexLand degradationNorth Darfur regionRisk assessmentWater resource managementLand Degradation & Development
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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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Global Groundwater-Vegetation Relations

2017

Groundwater is an integral component of the water cycle, and it also influences the carbon cycle by supplying moisture to ecosystems. However, the extent and determinants of groundwater-vegetation interactions are poorly understood at the global scale. Using several high-resolution data products, we show that the spatial patterns of ecosystem gross primary productivity and groundwater table depth are correlated during at least one season in more than two-thirds of the global vegetated area. Positive relationships, i.e., larger productivity under shallower groundwater table, predominate in moisture-limited dry to mesic conditions with herbaceous and shrub vegetation. Negative relationships, …

010504 meteorology & atmospheric sciencesWater table0208 environmental biotechnology02 engineering and technologyecohydrological patterns01 natural sciencesgroundwaterEcosystemWater cycleplant productivity0105 earth and related environmental sciencesHydrologyecosystemVegetation15. Life on land6. Clean water020801 environmental engineeringGeophysicsProductivity (ecology)13. Climate actionSpatial ecologyGeneral Earth and Planetary SciencesEnvironmental scienceGroundwaterWater usespatial covariation
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13C composition of dissolved organic carbon in upland forested catchments of the Morvan Mountains (France): Influence of coniferous and deciduous veg…

2007

10 pages; International audience; One of the main environmental changes caused by human activities is that of land use. These changes influence the quantity and quality of the dissolved organic matter (DOM) fluxes through the vegetation–soil–stream system. The aim of this work is to evaluate the influence of the substitution of native deciduous forests by well managed coniferous forests on dissolved organic carbon (DOC) fluxes and their associated carbon isotopic composition (d13CDOC). DOC fluxes and d13CDOC were monitored for 2 years in the streams of four similar upland forested catchments in the Morvan Mountains (France). Mean annual DOC concentrations and fluxes were 2–4 times lower in …

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global ChangesDrainage basinSTREAMS01 natural sciences[ SDE.MCG.CPE ] Environmental Sciences/Global Changes/domain_sde.mcg.cpeStream water[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/GeochemistryDissolved organic carbon[ SDE.MCG.SIC ] Environmental Sciences/Global Changes/domain_sde.mcg.sic[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environment[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentChemical composition0105 earth and related environmental sciencesWater Science and TechnologyStable isotopesHydrologygeographySoil organic mattergeography.geographical_feature_category[SDE.MCG.SIC]Environmental Sciences/Global Changes/domain_sde.mcg.sicSoil organic matter04 agricultural and veterinary sciencesVegetation15. Life on land[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistry[SDE.MCG.CPE]Environmental Sciences/Global Changes/domain_sde.mcg.cpe[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduous13. Climate actionSoil solutionSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceDissolved organic carbon
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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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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Estimating Gravimetric Moisture of Vegetation Using an Attenuation-Based Multi-Sensor Approach

2018

Estimating parameters for global climate models via combined active and passive microwave remote sensing data has been a subject of intensive research in recent years. A variety of retrieval algorithms has been proposed for the estimation of soil moisture, vegetation optical depth and other parameters. A novel attenuation-based retrieval approach is proposed here to globally estimate the gravimetric moisture of vegetation (m g ) and retrieve information about the amount of water [kg] per amount of wet vegetation [kg]. The parameter m g is particularly interesting for agro-ecosystems, to assess the status of growing vegetation. The key feature of the proposed approach is that it relies on mu…

010504 meteorology & atmospheric sciencesgravimetric moisture0211 other engineering and technologies02 engineering and technology01 natural scienceslaw.inventionlawVegetation optical depthRadarWater contentattenuation021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLidarRadarVegetationMoistureAttenuationMicrowave radiometerVegetationSMAPMulti-sensorLidarGravimetric analysisRadiometer
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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-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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