Search results for "Geta"

showing 10 items of 3789 documents

Trend Analysis of Global MODIS-Terra Vegetation Indices and Land Surface Temperature Between 2000 and 2011

2013

Previous works have shown that the combination of vegetation indices with land surface temperature (LST) improves the analysis of vegetation changes. Here, global MODIS-Terra monthly data from 2000 to 2011 were downloaded and organized into LST, NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) time series. These time series were then corrected from cloud and atmospheric residual contamination through the IDR (iterative Interpolation for Data Reconstruction) method. Then, statistics were retrieved from both corrected time series, and the YLCD (Yearly Land Cover Dynamics) approach has been applied to data sources (NDVI-LST and EVI-LST) to analyze changes in th…

Atmospheric ScienceGlobal warmingEnhanced vegetation indexLand coverSpatial distributionNormalized Difference Vegetation IndexTrend analysisBorealClimatologymedicineEnvironmental scienceComputers in Earth Sciencesmedicine.symptomVegetation (pathology)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Comparative study of three satellite image time-series decomposition methods for vegetation change detection

2018

International audience; Satellite image time-series (SITS) methods have contributed notably to detection of global change over the last decades, for instance by tracking vegetation changes. Compared with multi-temporal change detection methods, temporally highly resolved SITS methods provide more information in a single analysis, for instance on the type and consistency of change. In particular, SITS decomposition methods show a great potential in extracting various components from non-stationary time series, which allows for an improved interpretation of the temporal variability. Even though many case studies have applied SITS decomposition methods, a systematic comparison of common algori…

Atmospheric ScienceNon-stationary010504 meteorology & atmospheric sciencesBFASTSTL0211 other engineering and technologiesMRA-WT02 engineering and technology01 natural sciencesNormalized Difference Vegetation Indexlcsh:OceanographyDecomposition (computer science)medicineSatellite imagerylcsh:GC1-1581Computers in Earth SciencesNDVI time series021101 geological & geomatics engineering0105 earth and related environmental sciencesGeneral Environmental ScienceRemote sensingApplied Mathematicslcsh:QE1-996.5Global change15. Life on landSeasonalitymedicine.diseaselcsh:GeologyEnvironmental scienceChange detectionSatellite Image Time Seriesmedicine.symptomVegetation (pathology)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingChange detection
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Multilayer modelling of ozone fluxes on winter wheat reveals large deposition on wet senescing leaves

2015

Understanding how ozone is deposited on vegetation canopies is needed to perform tropospheric greenhouse gas budgets and evaluate the associated damage on vegetation. In this study, we propose a new multilayer scheme of ozone deposition on vegetation canopies that predicts stomatal, cuticular and soil deposition pathways separately. This mechanistic ozone deposition scheme is based on the multi-layer, multi-leaf mass and energy transfer model MuSICA. This model was chosen because it explicitly simulates the processes of rain interception, through fall and evaporation at different depths within the vegetation canopy, so that ozone deposition on wet leaf cuticles can be explicitly modelled wi…

Atmospheric ScienceOzonesenescence010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]010501 environmental sciencesAtmospheric sciences01 natural scienceswater filmchemistry.chemical_compoundMuSICAozone depositionEvapotranspirationwheat0105 earth and related environmental sciencesHydrologyGlobal and Planetary Change[ SDV ] Life Sciences [q-bio]ForestryVegetation15. Life on landchemistry13. Climate actionGreenhouse gasEnvironmental scienceDewcuticleInterceptionAgronomy and Crop ScienceDeposition (chemistry)Water vapor
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Vegetation fire emissions and their impact on air pollution and climate

2009

Gaseous and particulate emissions from vegetation fires substantially modify the atmospheric chemical composition, degrade air quality and can alter weather and climate. The impact of vegetation fire emissions on air pollution and climate has been recognised in the late 1970s. The application of satellite data for fire-related studies in the beginning of the 21th century represented a major break through in our understanding of the global importance of fires. Today the location and extent of vegetation fires, burned area and emissions released from fires are determined from satellite products even though many uncertainties persist. Numerous dedicated experimental and modeling studies contri…

Atmospheric SciencePeat010504 meteorology & atmospheric sciencesMeteorologyAir pollutionWeather and climate010501 environmental sciencesmedicine.disease_cause01 natural sciences/dk/atira/pure/sustainabledevelopmentgoals/climate_actionEnvironmental protection11. SustainabilitymedicineSDG 13 - Climate ActionEnvironmental impact assessment[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentAir quality indexComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesGeneral Environmental Science[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereVegetation15. Life on landParticulatesSeasonalitymedicine.disease13. Climate actionEnvironmental scienceAtmospheric Environment
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Evaluation of split-window and dual-angle correction methods for land surface temperature retrieval from Envisat/Advanced Along Track Scanning Radiom…

2006

[1] Land surface temperature (LST) can be derived from thermal infrared remote sensing data provided that atmospheric and emissivity effects are corrected for. In this paper, two correction methods were evaluated using a database of ground LST measurements and concurrent Envisat/Advanced Along Track Scanning Radiometer (AATSR) data. They were the split-window (SW) method, which uses two channels at 11 and 12 μm, and the dual-angle (DA) method, using one single channel (11 μm) at two observation angles (close to nadir and around 55° forward). The ground LST measurements were performed in a large, flat, and thermally homogeneous area of rice fields during the summers of 2002–2005, when the cr…

Atmospheric ScienceRadiometerEcologyPaleontologySoil ScienceForestryAATSRLand coverVegetationAquatic ScienceOceanographyStandard deviationGeophysicsSpace and Planetary ScienceGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)NadirTrajectoryEmissivityEnvironmental scienceEarth-Surface ProcessesWater Science and TechnologyRemote sensingJournal of Geophysical Research
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Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment

2022

Understanding how biophysical and biochemical variables contribute to the spectral characteristics of vegetation canopies is critical for their monitoring. Quantifying these contributions, however, remains difficult due to extraneous factors such as the spectral variability of canopy background materials, including soil/crop-residue moisture, soil-type, and non-photosynthetic vegetation (NPV). This study focused on exploring the spectral response of two important agronomic variables (1) leaf chlorophyll content (Cab ) and (2) leaf area index (LAI) under various canopy backgrounds through a global sensitivity analysis of wheat-like canopy spectra simulated using the physically-based PROSAIL …

Atmospheric ScienceResilient LivelihoodsLEAF-AREA-INDEXSoil typePHOTOCHEMICAL REFLECTANCE INDEXBIOPHYSICAL PROPERTIESMeteorology & Atmospheric SciencesAdaptationLeaf chlorophyll contentGlobal and Planetary ChangeScience & TechnologyVEGETATION INDEXESSPECTRAL INDEXESGLOBAL SENSITIVITY-ANALYSISAgricultureNon-photosynthetic vegetationForestry22/4 OA procedureAgronomyHyperspectral responseGlobal sensitivity analysisITC-ISI-JOURNAL-ARTICLEPhysical SciencesLeaf area indexCHLOROPHYLL CONTENTGREEN LAILife Sciences & BiomedicineCANOPY REFLECTANCEAgronomy and Crop ScienceRADIATIVE-TRANSFER MODELAgricultural and Forest Meteorology
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Rainfall and Sea-Breeze Circulation over South-Western France

1997

South-western France (Aquitaine region) has an oceanic temperate climate but some climatic peculiarities (irregular patterns in isohyets) are observed along a narrow coastal belt. The spatial distribution of winter and summer precipitation shows a ‘rainy strip’ located around 20 to 40 km inland. Three features allow an explanation of this distribution: synoptic flow, sea-breeze and heterogeneous land roughness (presence of the Foret des Landes). To take into account the impact of these features, numerical simulations are examined using a three-dimensional mesoscale model. The occurrence of the forest increases the possibility of precipitation during irregular patterns in isohyets. © 1997 by…

Atmospheric ScienceSea breezeAtmospheric circulationClimatologyMesoscale meteorologyTemperate climateOceanic climateVegetationPrecipitationSpatial distributionGeologyInternational Journal of Climatology
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The impact of geoengineering on vegetation in experiment G1 of the GeoMIP

2015

Solar Radiation Management (SRM) has been proposed as a mean to partly counteract global warming. The Geoengineering Model Intercomparison Project (GeoMIP) has simulated the climate consequences of a number of SRM techniques. Thus far, the effects on vegetation have not yet been thoroughly analyzed. Here the vegetation response to the idealized GeoMIP G1 experiment from eight fully coupled Earth system models (ESMs) is analyzed, in which a reduction of the solar constant counterbalances the radiative effects of quadrupled atmospheric CO2 concentrations (abrupt4 × CO2). For most models and regions, changes in net primary productivity (NPP) are dominated by the increase in CO2, via the CO2 fe…

Atmospheric ScienceSolar constantbusiness.industryGlobal warmingPrimary productionVegetationCarbon cycleGeophysicsSpace and Planetary ScienceSolar radiation managementClimatologyEarth and Planetary Sciences (miscellaneous)Environmental scienceClimate engineeringbusinessNitrogen cycleJournal of Geophysical Research: Atmospheres
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Accelerated Changes of Environmental Conditions on the Tibetan Plateau Caused by Climate Change

2011

Abstract Variations of land surface parameters over the Tibetan Plateau have great importance on local energy and water cycles, the Asian monsoon, and climate change studies. In this paper, the NOAA/NASA Pathfinder Advanced Very High Resolution Radiometer (AVHRR) Land (PAL) dataset is used to retrieve the land surface temperature (LST), the normalized difference vegetation index (NDVI), and albedo, from 1982 to 2000. Simultaneously, meteorological parameters and land surface heat fluxes are acquired from the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) dataset and the Global Land Data Assimilation System (GLDAS), respectively. Results show that from …

Atmospheric SciencegeographyPlateaugeography.geographical_feature_categoryAdvanced very-high-resolution radiometerClimate changeMETIS-304166AlbedoMonsoonNormalized Difference Vegetation IndexITC-ISI-JOURNAL-ARTICLEClimatologyEnvironmental scienceEast Asian MonsoonWater cycleJournal of Climate
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Estimation of the time lag occurring between vegetation indices and aridity indices in a Sicilian semi-arid catchment

2009

The evolution of drought phenomena in a Sicilian semi-arid catchment has been analyzed processing both remote sensing images and climatic data for the period 1985-2000. The remote sensing dataset includes Landsat TM and ETM+ multispectral images, while the climatic dataset includes monthly rainfall and air temperature. The results have been specifically discussed for areas where it is possible to neglect agricultural activities and vegetation growth is only influenced by natural forcing. The main outcome of this study is the quantification of the time lag between the remote sensing retrieved vegetation indices and the aridity indices (AIs) calculated from climatic data. Moreover the obtaine…

Atmospheric Sciencegeography.geographical_feature_categoryvegetation indices aridity indices drought time series time lagApplied MathematicsMultispectral imageSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDrainage basinVegetationForcing (mathematics)Aridlanguage.human_languageGeographyRemote sensing (archaeology)ClimatologylanguageAridity indexComputers in Earth SciencesSicilianGeneral Environmental Science
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