Search results for "Geta"

showing 10 items of 3789 documents

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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Short-Term Vegetation Recovery after a Grassland Fire in Lithuania: The Effects of Fire Severity, Slope Position and Aspect

2016

In Lithuania, fire is frequently used by farmers as a tool to remove dry grass, improve soil nutrient status and help soil tilling. However, little is known about the ecological impacts of these fires, including vegetation recovery. The objective of this work is to study the impacts of a spring grassland fire on vegetation recuperation on an east-facing (A) and a west-facing slope (B), considering fire severity and slope position, 10, 17, 31 and 46 days after the fire. Because of their effects on fire behaviour, aspect, steepness and heterogeneity of topography favoured higher fire severity on slope B than on slope A. Three different slope positions were identified on slope A – flat top, mi…

010504 meteorology & atmospheric sciencesSoil nutrientsSlope positionSoil ScienceSlope aspectDevelopmentspring fire01 natural sciencesGrasslandvegetation recoverySlope positionEnvironmental ChemistryDevelopment3304 EducationVegetation and slope stability0105 earth and related environmental sciencesGeneral Environmental ScienceSpring firesHydrologygeographygeography.geographical_feature_category2300slope aspect04 agricultural and veterinary sciencesVegetationBodemfysica en LandbeheerPE&RCslope positionSoil Physics and Land Managementfire severityFire severity040103 agronomy & agricultureLand degradation0401 agriculture forestry and fisheriesEnvironmental sciencePlant coverVegetation recovery
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Assessing and Modeling Soil Detachment Capacity by Overland Flow in Forest and Woodland of Northern Iran

2020

Land use has significant effects on the erosion process, since it influences the soil detachment capacity by causing an overland flow (Dc). The effects of different land uses on the rill detachment capacity have not been explained in depth, and the hydraulic parameters providing accurate estimates of this soil property have not been completely identified. This study quantifies Dc at low flow rates in woodland and forestland, compared to two other land uses (cropland and grassland), in the Saravan watershed (Northern Iran), and develops prediction models of Dc and rill erodibility (Kr). Dc was measured on undisturbed soil samples, collected in the four land uses, and characterized in terms o…

010504 meteorology & atmospheric sciencesSoil testWater flowWoodlandvegetation cover01 natural sciencesshear stressshallow flowsoil organic matterrill erodibility0105 earth and related environmental sciencesHydrologygeographygeography.geographical_feature_categorysoil erosionSoil organic matterland useForestry04 agricultural and veterinary scienceslcsh:QK900-989RillSoil water040103 agronomy & agricultureErosionlcsh:Plant ecology0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoffForests
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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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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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