Search results for "Earth"

showing 10 items of 12204 documents

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

2021

The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related losses. In this study, we applied two novel deep learning algorithms, the recurrent neural network (RNN) and convolutional neural network (CNN), for national-scale landslide susceptibility mapping of Iran. We prepared a dataset comprising 4069 historical landslide locations and 11 conditioning factors (altitude, slope degree, profile curvature, distance to river, aspect, plan curvature, distance to road, distance to fault, rainfall, geology and land-sue) to construct a geospatial database and divided the data into the training and the testing dataset. We then d…

010504 meteorology & atmospheric sciencesReceiver operating characteristicbusiness.industryDeep learningSpatial databaselcsh:QE1-996.5Deep learningLandslideIranLandslide susceptibility010502 geochemistry & geophysicsRNN01 natural sciencesConvolutional neural networklcsh:GeologyLandslideRecurrent neural networkGeneral Earth and Planetary SciencesArtificial intelligenceScale (map)businessAlgorithmCNNGeology0105 earth and related environmental sciencesGeoscience Frontiers
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Influencia del ángulo de observación en la estimación del índice de área foliar (LAI) mediante imágenes PROBA/CHRIS

2016

La estimación de variables biofísicas como el Índice de Área Foliar (LAI) mediante técnicas de teledetección es objeto de numerosos estudios, ya que de su conocimiento se puede extraer valiosa información sobre el estado de la vegetación. En este trabajo se estudia la estimación del LAI mediante imágenes multiangulares PROBA/CHRIS, analizando el comportamiento de la reflectividad medida en sus 5 ángulos de observación, en las longitudes de onda de 665 y 705 nm correspondientes a la banda de absorción de la clorofila y la reflectividad de la vegetación en el Red-Edge, respectivamente. El Índice de Diferencia Normalizada (NDI) calculado en estas longitudes de onda, mostró una buena correlació…

010504 meteorology & atmospheric sciencesRed-EdgeGeography Planning and Development0211 other engineering and technologieslcsh:G1-92202 engineering and technologyViewing angle01 natural sciencesReflectivityNDILAIPROBA/CHRISGeographyEarth and Planetary Sciences (miscellaneous)multiangularLeaf area indexSentinel-2lcsh:Geography (General)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRevista de Teledetección
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An expanded model and application of the combined effect of crystal-size distribution and crystal shape on the relative viscosity of magmas

2018

International audience; This study examines the combined effect of crystal-size distributions (CSD) and crystal shape on the rheology of vesicle free magmatic suspensions and provides the first practical application of an empirical model to estimate the relative effect of crystal content and CSD's on the viscosity of magma directly from textural image analysis of natural rock samples in the form of a user-friendly texture-rheology spreadsheet calculator. We extend and apply established relationships between the maximum packing fraction ϕm of a crystal bearing suspension and both its rheological properties and the polydispersity γ of a CSD. By using analogue rotational rheometric experiments…

010504 meteorology & atmospheric sciencesRelative viscosityDispersityThermodynamicsMagma rheologyCrystal size distribution010502 geochemistry & geophysicsAtomic packing factor01 natural sciencesCrystalViscosityGeophysicsRheologyGeochemistry and PetrologyMagma[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologySuspension (vehicle)GeologyCrystal shape0105 earth and related environmental sciences
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Modified climate with long term memory in tree ring proxies

2015

ABSTRACT : A contribution to the PAGES Asia2k Working Group. ABSTRACT: Long term memory (LTM) scaling behavior in worldwide tree ring proxies and subsequent climate reconstructions is analyzed for and compared with the memory structure inherent to instrumental temperature and precipitation data. Detrended fluctuation analysis is employed to detect LTM and its scaling exponent a is used to evaluate LTM. The results show that temperature and precipitation reconstructions based on ring width measurements (mean \alpha =0.8) contain more memory than records based on maximum latewood density (mean \alpha =0.7). Both exceed the memory inherent to regional instrumental data (\alpha =0.6 for tempera…

010504 meteorology & atmospheric sciencesRenewable Energy Sustainability and the EnvironmentLong-term memoryPublic Health Environmental and Occupational HealthExtreme events01 natural sciencesProxy (climate)13. Climate actionClimatology0103 physical sciencesDendrochronologyDetrended fluctuation analysisEnvironmental scienceStatistical analysisCold period010306 general physicsScaling0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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2016

The spatial context is criticalwhen assessing present-day climate anomalies, attributing them to potential forcings and making statements regarding their frequency and severity in a long-term perspective. Recent international initiatives have expanded the number of high-quality proxy-records and developed new statistical reconstruction methods. These advances allow more rigorous regional past temperature reconstructions and, in turn, the possibility of evaluating climate models on policy-relevant, spatiotemporal scales. Here we provide a new proxy-based, annually-resolved, spatial reconstruction of the European summer (June-August) temperature fields back to 755 CE based on Bayesian hierarc…

010504 meteorology & atmospheric sciencesRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthClimate changeContext (language use)Forcing (mathematics)010502 geochemistry & geophysicsSolar irradianceAtmospheric temperature01 natural sciences13. Climate actionClimatologyPaleoclimatologyClimate modelMean radiant temperature0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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Radiance-based NIRv as a proxy for GPP of corn and soybean

2020

Abstract Substantial uncertainty exists in daily and sub-daily gross primary production (GPP) estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that near-infrared radiance of vegetation (NIRv,Rad), defined as the product of observed NIR radiance and normalized difference vegetation index, can accurately estimate corn and soybean GPP at daily and half-hourly time scales, benchmarked with multi-year tower-based GPP at three sites with different environmental and irrigation conditions. Overall, NIRv,Rad explains 84% and 78% variations of half-hourly GPP for corn and soybean, respectively, outperforming NIR reflectance of vegetation (NIRv,Ref), enhanced vege…

010504 meteorology & atmospheric sciencesRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthPrimary productionEnhanced vegetation index010501 environmental sciencesAtmospheric sciences01 natural sciencesNormalized Difference Vegetation IndexCarbon cycleNir reflectanceLinear relationshipPhotosynthetically active radiationRadianceEnvironmental science0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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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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Validation of a novel Multi-Gas sensor for volcanic HCl alongside H2S and SO2 at Mt. Etna

2017

Erratum to: Bull Volcanol (2017) 79: 36DOI 10.1007/s00445-017-1114-zDuring the steps of corrections, the publisher inadvertently changed the author affiliations so that they were no longer correct. The correct information is given below. The publisher regrets this mistake.; International audience; Volcanic gas emission measurements inform predictions of hazard and atmospheric impacts. For these measurements, Multi-Gas sensors provide low-cost in situ monitoring of gas composition but to date have lacked the ability to detect halogens. Here, two Multi-Gas instruments characterized passive outgassing emissions from Mt. Etna’s (Italy) three summit craters, Voragine (VOR), North-east Crater (NE…

010504 meteorology & atmospheric sciencesResponse modelPoison controlMineralogyOpen-system volcanic degassing010502 geochemistry & geophysics01 natural sciencesElectronic noseImpact craterGeochemistry and PetrologyCalibrationGas compositionVolcanic outgassing0105 earth and related environmental sciencesMulti-Gas instrumentgeographygeography.geographical_feature_categoryE-noseOutgassingVolcano13. Climate action[SDU]Sciences of the Universe [physics]HalogenMagmaChlorineGeology
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Granulites, partial melting and the rheology of the lower crust

2011

010504 meteorology & atmospheric sciencesRheologyGeochemistry and PetrologyPartial meltingGeochemistryGeologyCrust010502 geochemistry & geophysicsGranulite01 natural sciencesGeology0105 earth and related environmental sciencesJournal of Metamorphic Geology
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Assessing optimal water quality monitoring network in road construction using integrated information-theoretic techniques

2020

Author´s accepted manuscript. The environmental impacts of road construction on the aquatic environment necessitate the monitoring of receiving water quality. The main contribution of the paper is developing a feasible methodology for spatial optimization of the water quality monitoring network (WQMN) in surface water during road construction using the field data. First, using the Canadian Council of Ministers of the Environment (CCME) method, the water quality index (WQI) was computed in each potential monitoring station during construction. Then, the integrated form of the information-theoretic techniques consists of the transinformation entropy (TE), and the value of information (VOI) we…

010504 meteorology & atmospheric sciencesRoad constructionOperations researchComputer science0207 environmental engineeringAnalytic hierarchy processTOPSIS02 engineering and technologyIdeal solutionMutual informationVDP::Teknologi: 500::Bygningsfag: 530::Konstruksjonsteknologi: 53301 natural sciencesValue of informationEntropy (information theory)Water quality020701 environmental engineering0105 earth and related environmental sciencesWater Science and TechnologyJournal of Hydrology
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