Search results for " modis"

showing 10 items of 19 documents

Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values

2016

Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km 2 , LST values being an average of the real subpixel variability of LST, which can be significant for heterogeneous terrain. Here, we use Landsat 7 LST decametre-scale fields to evaluate the temporal and spatial variability at the kilometre scale and compare the resulting average values to those provided by MODIS for the same obser…

010504 meteorology & atmospheric sciencesMeteorologyLandsat 7Science0211 other engineering and technologiesland surface temperatureTerrain02 engineering and technology01 natural sciencesNet radiometertime-space variabilityTermodinàmicaSuperfícies (Fisica)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingGround truthRadiometerQSubpixel renderingsurface heterogeneitysurface heterogeneity; land surface temperature; MODIS; Landsat 7; time-space variability; ground truthMODISGeneral Earth and Planetary SciencesEnvironmental scienceSpatial variabilityModerate-resolution imaging spectroradiometerScale (map)ground truthRemote Sensing
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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Simulación y validación de los algoritmos de la temperatura de la superficie terrestre para los datos de MODIS y AATSR

2007

Se ha construido una base de datos de perfiles de radiosondeos atmosféricos, de alcance global y para situaciones sin nubes, con la finalidad de simular medidas radiométricas desde sensores abordo de satélite en el infrarrojo térmico. El objetivo de la simulación era generar algoritmos de "split-window" (SW) y ángulo dual (DA) para obtener la temperatura de la superficie terrestre (LST) a partir del Terra/Moderate Resolution Imaging Spectroradiometer (MODIS) y de los datos del Envisat/Advanced Along Track Scanning Radiometer (AATSR). La base de datos contiene 382 perfiles de radiosondeo obtenidos desde la superficie terrestre, con una distribución casi uniforme en contenido de agua precipit…

:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Ciencias de la atmósfera [UNESCO]Algiritmos de la temperatura terrestreMODISAlgiritmos de la temperatura terrestre; MODIS; AATSRAATSRUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Ciencias de la atmósfera
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Effects of rainfall events on the evapotranspiration retrieved by an energy balance model

2009

An alternative way to map the actual evapotranspiration (ET) spatial distribution at daily scale is the application of residual surface energy balance models to satellite images that are characterised by high temporal frequency and moderate spatial resolution, like those acquired by the MODIS sensors on board of TERRA and AQUA platforms. Within this research the well-known SEBAL model has been applied on an area located in the southern part of Sicily (Imera Meridionale catchment) using four images acquired between the 27th of March and the 11th of April 2007. The catchment extends for about 2000 km2 and includes both mountains and hill areas: the first are located in the northern part (the …

Actual evapotranspirationHydrologySEBALEnergy balanceVegetationSpatial distributionAtmospheric sciencesFlux towerSEBALAltitudeGeographyMODISHeat fluxLatent heatEvapotranspirationEvaporative fractionactual evapotranspiration evaporative fraction SEBAL flux tower MODIS
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Tracking Formation of a Lava Lake From Ground and Space: Masaya Volcano (Nicaragua), 2014-2017

2018

A vigorously degassing lava lake appeared inside the Santiago pit crater of Masaya volcano (Nicaragua) in December 2015, after years of degassing with no (or minor) incandescence. Here we present an unprecedented-long (3 years) and continuous volcanic gas record that instrumentally characterizes the (re)activation of the lava lake. Our results show that, before appearance of the lake, the volcanic gas plume composition became unusually CO 2 rich, as testified by high CO 2 /SO 2 ratios (mean: 12.2 ± 6.3) and low H 2 O/CO 2 ratios (mean: 2.3 ± 1.3). The volcanic CO 2 flux also peaked in November 2015 (mean: 81.3 ± 40.6 kg/s; maximum: 247 kg/s). Using results of magma degassing models and budg…

Convection010504 meteorology & atmospheric sciencesLava2Flux010502 geochemistry & geophysics01 natural sciencesGeochemistry and Petrologylava lakeMasayaPetrologyGeophysicvolcanic CO0105 earth and related environmental scienceslava lakes; Masaya; MODIS; Multi-GAS; scanning-DOAS; volcanic CO2 flux; Geophysics; Geochemistry and Petrologyscanning-DOASgeographygeography.geographical_feature_categoryvolcanic CO 2 fluxlava lakesPit cratervolcanic CO2 fluxPlumefluxGeophysicsMODISVolcanoMagmaGradual increaseMulti-GASGeologyGeochemistry, Geophysics, Geosystems
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A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUM…

2018

Leaf area index (LAI) is a key biophysical variable fundamental in natural vegetation and agricultural land monitoring and modelling studies. This paper is aimed at comparing, validating and discussing different LAI satellite products from operational services and customized solution based on innovative Earth Observation (EO) data such as Landsat-7/8 and Sentinel-2A. The comparison was performed to assess overall quality of LAI estimates for rice, as a fundamental input of different scale (regional to local) operational crop monitoring systems such as the ones developed during the "An Earth obseRvation Model based RicE information Service" (ERMES) project. We adopted a multiscale approach f…

Earth observation010504 meteorology & atmospheric sciencesMean squared errorRice crops0211 other engineering and technologies02 engineering and technology01 natural sciencesLandsat-7/8Agricultural landGEOV1ValidationmedicineLeaf Area Index (LAI)Leaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerSentinel-2AVegetation15. Life on landSeasonalitymedicine.diseaseMODISLeaf Area Index (LAI); rice crops; Sentinel-2A; Landsat-7/8; EUMETSAT Polar System; MODIS; GEOV1; validationEUMETSAT Polar SystemGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteScale (map)Remote Sensing; Volume 10; Issue 5; Pages: 763
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Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests

2019

Abstract Evapotranspiration (ET) is considered a key variable in the understanding of the Amazonian tropical forests and their response to climate change. Remote-Sensing (RS) based evapotranspiration models are presented as a feasible means in order to provide accurate spatially-distributed ET estimates over this region. In this work, the performance of four commonly used ET RS models was evaluated over Amazonia using Moderate Resolution Imaging Spectroradiometer (MODIS) data. RS models included i) Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), ii) Penman-Monteith MODIS operative parametrization (PM-Mu), iii) Surface Energy Balance System (SEBS), and iv) Satellite Application Facility…

Global and Planetary ChangeAmazonian tropical forests; Terrestrial evapotranspiration; MODIS; Reanalysis010504 meteorology & atmospheric sciencesAmazonianCloud cover0211 other engineering and technologiesAmazonian tropical forestsClimate changeReanalysis02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesVariable (computer science)MODISEvapotranspirationEnvironmental scienceParametrization (atmospheric modeling)SatelliteModerate-resolution imaging spectroradiometerComputers in Earth SciencesTerrestrial evapotranspirationAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesInternational Journal of Applied Earth Observation and Geoinformation
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Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS images

2014

Forest fires are one of the most dangerous natural hazards, especially when they are recurrent. In areas such as Galicia (Spain), forest fires are frequent and devastating. The development of fire risk models becomes a very important prevention task for these regions. Vegetation and moisture indices can be used to monitor vegetation status; however, the different indices may perform differently depending on the vegetation species. Eight different spectral indices were selected to determine the most appropriate index in Galicia. This study was extended to the adjacent region of Asturias. Six years of MODIS (Moderate Resolution Imaging Spectroradiometer) images, together with ground fire data…

Index (economics)TeledeteccióMeteorologyCiències de la terraVegetationEnhanced vegetation indexLogistic regressionforest fires; vegetation indices; fire danger; MODIS; remote sensingBoscos i silviculturaremote sensingMODISvegetation indicesNatural hazardLinear regressionIncendisforest firesGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QPhysical geographyModerate-resolution imaging spectroradiometerlcsh:ScienceFire historyfire danger
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Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system

2015

We describe a new volcanic hotspot detection system, named Middle InfraRed Observation of Volcanic Activity (MIROVA), based on the analysis of infrared data acquired by the Moderate Resolution Imaging Spectroradiometer sensor (MODIS). MIROVA uses the middle infrared radiation (MIR), measured by MODIS, in order to detect and measure the heat radiation deriving from volcanic activity. The algorithm combines spectral and spatial principles, allowing the detection of heat sources from 1 megawatt (MW) to more than 10 gigawatt (GW). This provides a unique opportunity to: (i) recognize small-scale variations in thermal output that may precede the onset of effusive activity; (ii) track the advance …

MODIS automatic global detection of volcanic activitythermal anomaliesMODISHot spot detection system thermal anomalies MODIS MIROVAMIROVAHot spot detection system
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First evaluation of the simultaneous SMOS and ELBARA-II observations in the Mediterranean region

2012

Abstract The SMOS (Soil Moisture and Ocean Salinity) mission was launched on November 2, 2009. Over the land surfaces, simultaneous retrievals of surface soil moisture (SM) and vegetation characteristics made from the multi-angular and dual polarization SMOS observations are now available from Level-2 (L2) products delivered by the European Space Agency (ESA). Therefore, first analyses evaluating the SMOS observations in terms of Brightness Temperatures (TB) and L2 products (SM and vegetation optical depth TAU) can be carried out over several calibration/validation (cal/val) sites selected by ESA over all continents. This study is based on SMOS observations and in situ measurements carried …

Mediterranean climate010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science550 - Earth sciences02 engineering and technology01 natural sciencesVineyardNormalized Difference Vegetation Index14. Life underwaterComputers in Earth SciencesWater contentComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerGeology15. Life on land13. Climate actionBrightness temperatureSoil water[SDE]Environmental SciencesEnvironmental sciencesoil moisture; optical depth; retrievals; mediterranean environment; level 2 algorithm; brightness temperature; vineyards; soil; NDVI; MODIS;Moderate-resolution imaging spectroradiometerSMOS
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