Search results for "Spatial"

showing 10 items of 2121 documents

Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data

2020

Remote sensing observations, products, and simulations are fundamental sources of information to monitor our planet and its climate variability. Uncovering the main modes of spatial and temporal variability in Earth data is essential to analyze and understand the underlying physical dynamics and processes driving the Earth System. Dimensionality reduction methods can work with spatio-temporal data sets and decompose the information efficiently. Principal component analysis (PCA), also known as empirical orthogonal functions (EOFs) in geophysics, has been traditionally used to analyze climatic data. However, when nonlinear feature relations are present, PCA/EOF fails. In this article, we pro…

Earth observationComputer scienceFeature extraction0211 other engineering and technologiesFOS: Physical sciencesEmpirical orthogonal functions02 engineering and technologyKernel principal component analysisPhysics::GeophysicsData cubePhysics - GeophysicsKernel (linear algebra)symbols.namesakeElectrical and Electronic EngineeringPhysics::Atmospheric and Oceanic Physics021101 geological & geomatics engineeringDimensionality reductionHilbert spaceComputational Physics (physics.comp-ph)Geophysics (physics.geo-ph)Data setPhysics - Atmospheric and Oceanic Physics13. Climate actionKernel (statistics)Atmospheric and Oceanic Physics (physics.ao-ph)Principal component analysissymbolsGeneral Earth and Planetary SciencesSpatial variabilityAlgorithmPhysics - Computational Physics
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Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

2017

Remote sensing data analysis is knowing an unprecedented upswing fostered by the activities of the public and private sectors of geospatial and environmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth Observation, such as land cover and use updating, urban dynamics, or vegetation and crop monitoring. In the upcoming years even richer information will be available: more sophisticated hyperspectral sensors with high spectral resolution, multispectral sensors with sub-metric spatial detail or drones that can be deployed in very short time lapses. Besides such opportunities, these new and wealthy infor…

Earth observationGeospatial analysis010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputer scienceMultispectral image0211 other engineering and technologiesHyperspectral imaging02 engineering and technologycomputer.software_genreMachine learningPE&RC01 natural sciencesSupport vector machineKernel methodKernel (image processing)Laboratory of Geo-information Science and Remote SensingLife ScienceLaboratorium voor Geo-informatiekunde en Remote SensingArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciences
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First results from the PROBA/CHRIS hyperspectral/multiangular satellite system over land and water targets

2005

The Project for On-Board Autonomy (PROBA) platform developed by the European Space Agency was launched on October 22, 2001. The instrument payload includes the Compact High Resolution Imaging Spectrometer (CHRIS). The coupled system provides high spatial resolution hyperspectral/multi-angular data, which represents a new-generation source of information for Earth observation purposes. The first results obtained from the preprocessing (noise removal and geometric/atmospheric correction) of two different datasets, collected over agricultural crops and inland waters, are presented in this letter. In situ measurements are used to assess the quality of the data and to validate the processing alg…

Earth observationMeteorologySpectrometerPayloadAtmospheric correctionHyperspectral imagingSatellite system550 - Earth sciencesGeotechnical Engineering and Engineering GeologyHigh spatial resolutionPreprocessorEnvironmental scienceElectrical and Electronic EngineeringRemote sensing
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Surface soil humidity retrieval using remote sensing techniques: a triangle method validation

2010

Soil humidity plays a key-role in hydrological and agricultural processes. In the rainfall-runoff processes the knowledge of its spatial distribution is fundamental to accurately model these phenomena. Furthermore in agronomy and agricultural sciences, assessing the water content of the root zone is required in order to optimize the plant productivity and to improve the irrigation systems management. Despite the importance of this variable the in situ measurements techniques based on Time Domain Reflectometry (TDR) or on the standard thermo-gravimetric methods, are neither cost-effective nor representative of its spatial and temporal variability. Indirect estimations via Earth Observation (…

Earth observationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaLongwavesoil moisture airborne remote sensing triangle methodHumiditySpatial distributiontriangle methodairborne remote sensingSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental sciencesoil moistureImage resolutionShortwaveWater contentRemote sensingRemote Sensing for Agriculture, Ecosystems, and Hydrology XII
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A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

2019

Abstract Global estimation of Gross Primary Production (GPP) - the uptake of atmospheric carbon dioxide by plants through photosynthesis - is commonly based on optical satellite remote sensing data. This presents a source-driven approach since it uses the amount of absorbed light, the main driver of photosynthesis, as a proxy for GPP. Vegetation Optical Depth (VOD) estimates obtained from microwave sensors provide an alternative and independent data source to estimate GPP on a global scale, which may complement existing GPP products. Recent studies have shown that VOD is related to aboveground biomass, and that both VOD and temporal changes in VOD relate to GPP. In this study, we build upon…

Earth observationTeledetecció010504 meteorology & atmospheric sciences0208 environmental biotechnologySoil ScienceComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyData_CODINGANDINFORMATIONTHEORY01 natural sciencesCross-validationFluxNetVegetacióComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingRadiometerComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPrimary productionGeology15. Life on landScatterometer020801 environmental engineeringSpectroradiometer13. Climate actionEnvironmental scienceSpatial variability
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Desarrollo de productos avanzados para la misión SEOSAT/Ingenio

2016

SEOSAT/Ingenio es la futura misión española de observación de la Tierra en el óptico en alta resolución espacial. Mientras que los productos de imagen a Nivel 1, radiancias geo-referenciadas a nivel de sensor, se encuentran en una fase avanzada de desarrollo existiendo para ello un contrato industrial, los productos de Nivel 2 deben ser desarrollados por los propios usuarios. Este hecho limita el uso de las imágenes a la comunidad científica, restringiendo sus posibles aplicaciones fuera de ésta. Así pues, bajo el marco de un proyecto coordinado y motivados por ofrecer productos de Ingenio/SEOSAT de Nivel 2 a disposición de cualquier usuario, se origina y desarrolla este trabajo. En este ar…

Earth observationgeneración de mosaicosintegraciónGeography Planning and DevelopmentMultispectral imagerealce pancromáticoProductos nivel 2Integrationlcsh:G1-922Cloud computingSúper-resoluciónproductos Nivel 2Realce pancromáticoCorrección atmosféricaShadowEarth and Planetary Sciences (miscellaneous)Generación de mosaicosPan-sharpeningImage resolutionSpatial analysisRemote sensingSEOSAT/Ingeniobusiness.industryAtmospheric correctionCompuesto multitemporalLevel 2 productsTemporal compositesPanchromatic filmAtmospheric correctionGeographySuper-resolutioncompuesto multitemporalbusinessIntegracióncorrección atmosféricalcsh:Geography (General)Mosaicking
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Multiscale processes to describe the Eastern Sicily Seismic Sequences

2018

In this paper, a version of hybrid of Gibbs point process models is proposed as method to characterise the multiscale interaction structure of several seismic sequences occurred in the Eastern Sicily in the last decade. Seismic sequences were identified by a clustering technique based on space-time distance criterion and hierarchical clustering. We focus our analysis on five small seismic sequences, showing that two of these are described by an inhomogeneous Poisson process (not significant interaction among events) while the other three clusters are described by a hybrid-Geyer process (mutiscale interaction between events). The proposed method, although it still needs extensive testing on …

Earthquakespatial raw residualsresidual G-functionpoint procehybrid of Gibbs proceSettore SECS-S/01 - Statistica
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Sexual segregation of Echinorhynchus borealis von Linstow, 1901 (Acanthocephala) in the gut of burbot (Lota lota Linnaeus)

2015

Helminths often occupy defined niches in the gut of their definitive hosts. In the dioecious acanthocephalans, adult males and females usually have similar gut distributions, but sexual site segregation has been reported in at least some species. We studied the intestinal distribution of the acanthocephalan Echinorhynchus borealis von Linstow, 1901 (syn. of E. cinctulus Porta, 1905) in its definitive host, burbot (Lota lota Linnaeus). Over 80% of female worms were found in the pyloric caeca, whereas the majority of males were in the anterior two-thirds of the intestine. This difference was relatively consistent between individual fish hosts. Worms from different parts of the gut did not dif…

Ecological nichebiologyspatial distributionEcologyNichemicrohabitatZoologyAquatic animalEchinorhynchus cinctulussex ratiobiology.organism_classificationthorny-headed wormsnicheEchinorhynchidaeParasite hostingHelminthsta1181ParasitologyMatingAcanthocephalabody sizeSex ratioFolia Parasitologica
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Revisiting the role of top-down and bottom-up controls in stabilisation of nutrient-rich plankton communities

2019

Understanding the conditions for successful control of phytoplankton by zooplankton in eutrophic ecosystems is a highly important research area with a wide implementation of mathematical modelling. Theoretical models generally predict destabilisation of food webs in eutrophic environments with large-amplitude oscillations of population densities which would eventually result in species extinction. On the other hand, these theoretical predic- tions are often at odds with ecological observations demonstrating stable dynamics even for a high nutrient load. This apparent discrepancy is known in the literature as Rosen- zweig’s “paradox of enrichment”. Recent theoretical works emphasize a crucia…

Ecological stabilityNumerical AnalysisIntegro-differential equationEcologyApplied MathematicsParadox of enrichmentPlankton01 natural sciencesZooplanktonSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)010305 fluids & plasmasSpatial heterogeneityModeling and SimulationEcosystem stability0103 physical sciencesPhytoplanktonEnvironmental scienceEcosystem010306 general physicsEutrophicationParadox of enrichmentPlankton modellingCommunications in Nonlinear Science and Numerical Simulation
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Explicit incorporation of spatial variability in a biomass dynamics assessment model

2021

Abstract The sustainable management of fisheries has largely relied on stock assessment models that assume stocks are homogeneous throughout their domain. However, ignoring complex underlying spatial patterns can lead to increased risk of failures in management. Utilizing geostatistical approaches in conjunction with a traditional fishery biomass dynamics model, we develop a spatially-explicit modelling framework that treats the underlying population dynamics as spatial processes. Simulation experiments demonstrate that this approach reliably estimates variance parameters and accurately captures true patterns of population change. We further demonstrate the utility of our modelling framewor…

EcologyDynamics (mechanics)VDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470BiomassEnvironmental scienceSpatial variabilityAquatic ScienceOceanographyAtmospheric sciencesEcology Evolution Behavior and SystematicsICES Journal of Marine Science
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