Search results for "geologic"

showing 10 items of 801 documents

LST retrieval algorithm adapted to the Amazon evergreen forests using MODIS data

2018

Abstract Amazonian tropical forests play a significant role in global water, carbon and energy cycles. Considering the importance of this biome and climate change projections, the monitoring of vegetation status of these rainforests becomes of significant importance. In this context vegetation temperature is presented as a key variable linked with plant physiology. In particular some studies showed the relationship between this variable and the CO2 absorption capacity and biomass loss of these tropical forests proving the potential use of vegetation temperature in the monitoring of the vegetation status. Nevertheless, the use of thermal remote sensing data over tropical forests still has so…

Visible Infrared Imaging Radiometer Suite010504 meteorology & atmospheric sciencesBiome0211 other engineering and technologiesAtmospheric correctionSoil ScienceClimate changeGeologyContext (language use)02 engineering and technologyVegetation01 natural sciencesSpatial ecologyEnvironmental scienceModerate-resolution imaging spectroradiometerComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Distribution patterns of particulate trace metals in the water column and nepheloid layer of the Gulf of Riga.

2004

The dynamics (fate) of trace metals in suspended particulate matter within the Gulf of Riga has not yet been adequately addressed in the scientific literature. Therefore, during a two year period (2001-2002) samples of suspended particulate matter and surface sediments for trace metal analysis were collected in the Gulf of Riga and the Daugava river, and these data were combined with background information from the national marine monitoring program in Latvia. This paper presents a descriptive study of solid phase trace metals (aluminium, iron, cadmium, chromium, copper, manganese, nickel, lead and zinc) dynamics and their spatial distribution within the Gulf of Riga based on Principal Comp…

Water massGeologic SedimentsEnvironmental EngineeringTime FactorsNitrogenHealth Toxicology and MutagenesisNepheloid layerDisastersWater columnRiversEnvironmental ChemistryCluster AnalysisTrace metalSeawaterPrincipal Component AnalysisPublic Health Environmental and Occupational HealthSedimentGeneral MedicineGeneral ChemistrySedimentationParticulatesPollutionMonitoring programCarbonTrace ElementsOxygenOceanographyEnvironmental chemistryEnvironmental scienceSeasonsWater Pollutants ChemicalEnvironmental MonitoringChemosphere
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An optical classification tool for global lake waters

2017

Shallow and deep lakes receive and recycle organic and inorganic substances from within the confines of these lakes, their watershed and beyond. Hence, a large range in absorption and scattering and extreme differences in optical variability can be found between and within global lakes. This poses a challenge for atmospheric correction and bio-optical algorithms applied to optical remote sensing for water quality monitoring applications. To optimize these applications for the wide variety of lake optical conditions, we adapted a spectral classification scheme based on the concept of optical water types. The optical water types were defined through a cluster analysis of in situ hyperspectral…

Watershed010504 meteorology & atmospheric sciences0211 other engineering and technologiesAtmospheric correctionHyperspectral imagingSediment02 engineering and technology01 natural sciences6. Clean water/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterColored dissolved organic matter13. Climate actionGeneral Earth and Planetary SciencesEnvironmental sciencemedia_common.cataloged_instancelakes; reflectance; classification; OWT; atmospheric correction; MERIS; OLCI; water quality14. Life underwaterWater qualitySDG 14 - Life Below WaterEuropean unionEutrophication021101 geological & geomatics engineering0105 earth and related environmental sciencesmedia_commonRemote sensing
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Active heave compensation of floating wind turbine installation using a catamaran construction vessel

2021

Abstract The application of floating wind turbines is limited by the high cost that increases with the water depth. Offshore installation and maintenance continue to consume a high percentage of the project budget. To improve the installation efficiency of the floating offshore wind turbine, a novel concept is proposed by the SFI MOVE project. Several wind turbine superstructure components are preassembled onshore and carried to the installation site by a catamaran construction vessel. Each assembly can then be installed using only one lift, and the concept is less sensitive to weather conditions. In this paper, a control algorithm of the proposed hydraulic active heave compensator system i…

Wind powerbusiness.industryMechanical Engineering0211 other engineering and technologies020101 civil engineeringOcean EngineeringFloating wind turbine02 engineering and technologyActive heave compensationTurbine0201 civil engineeringLift (force)Offshore wind powerMechanics of MaterialsEnvironmental scienceGeneral Materials ScienceSparHydraulic machinerybusiness021101 geological & geomatics engineeringMarine engineeringMarine Structures
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Thermo-mechanical volume change behaviour of Opalinus Clay

2016

The paper examines the thermo-mechanical volume change behaviour of Opalinus Clay in relation to different stress conditions and overconsolidation ratio (OCR) values and evaluates the impact of temperature on some hydro-mechanical properties of this material. To this aim, a focused experimental campaign consisting in high-temperature/high-pressure oedometric tests has been carried out. The results show that the thermo-mechanical volume change behaviour of Opalinus Clay is heavily affected by the OCR: thermal expansion is found when the heating is carried out at high OCR, whereas irreversible thermal compaction is observed when heat is applied at a vertical effective stress that is sufficien…

Yield (engineering)Materials scienceConsolidation (soil)Settore ICAR/07 - GeotecnicaEffective stressGeo-energy0211 other engineering and technologiesCompactionModulus02 engineering and technology010502 geochemistry & geophysicsShaleGeotechnical Engineering and Engineering Geology01 natural sciencesThermal expansionThermo-mechanical behaviourThermalShalesCompressibilityGeotechnical engineeringOpalinus ClayNuclear waste storage021101 geological & geomatics engineering0105 earth and related environmental sciences
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SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition

2017

Vegetation Optical Depth (VOD) is related to Vegetation Water Content (VWC). This provides new and highly valuable information for ecological and agricultural studies. In this work, VOD from the Soil Moisture Active-Passive (SMAP) satellite has been retrieved with the new Multi-Temporal Dual-Channel Algorithm (MT-DCA). Then, it has been applied to the study of crop yield trends and crop composition. The increase on VOD (¿VOD) during crop development has been compared to yield data in two selected regions located in the United States. The first region presents a heterogeneous crop composition and weak ¿VOD-yield relationship (r2=0.21). The second region presents a highly homogenous cover and…

YieldTeledetecció010504 meteorology & atmospheric sciencesAgricultural engineering0211 other engineering and technologiesCropsSoil science:Enginyeria agroalimentària [Àrees temàtiques de la UPC]02 engineering and technology01 natural sciencesCropYield (wine)Enginyeria agronòmicaVegetation optical depthWater content021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerbusiness.industrySaturation (genetic)Crop yieldPlant densitySMAPRemote sensing15. Life on land:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]AgricultureEnvironmental scienceSatelliteComposition (visual arts)business2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization

2011

International audience; We present a new method for the visualization of spectral images, based on a selection of three relevant spectral channels to build a Red-Green-Blue composite. Band selection is achieved by means of information measures at the first, second and third orders. Irrelevant channels are preliminarily removed by means of a center-surround entropy comparison. A visualization-oriented spectrum segmentation based on the use of color matching functions allows for computational ease and adjustment of the natural rendering. Results from the proposed method are presented and objectively compared to four other dimensionality reduction techniques in terms of naturalness and informa…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciencesBand SelectionComputer science0211 other engineering and technologies02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesRendering (computer graphics)Spectrum SegmentationData visualization[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingColor Matching FunctionsEntropy (information theory)Computer visionSegmentationElectrical and Electronic Engineering021101 geological & geomatics engineering0105 earth and related environmental sciencesVisualizationInformation Measuresbusiness.industryDimensionality reductionPattern recognitionImage segmentationVisualizationMulti/hyperspectral imageryGeneral Earth and Planetary SciencesArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Comparison of Bathymetric estimation using different satellite images in coastal sea waters

2009

Bathymetric estimation can be obtained from multispectral satellite images for shallow waters. The method is based on the rotation of a pair of spectral bands. One of the resulting images is depth-dependent. Therefore several pixels corresponding to different depths are required to numerically evaluate the linear relation between the pixel values and the real depth for a training area. The aim of this study is to compare, for one bathymetric estimation method and one mesotrophic site, the results of depth estimation with a large panel of satellite and aerial images: CASI, QUICKBIRD, CHRIS PROBA, ETM, HYPERION and MeRIS. For each image the pair of spectral bands chosen to compute the bathyme…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciencesPixelAerial survey[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral image0211 other engineering and technologies02 engineering and technologySpectral bands01 natural sciencesMultispectral pattern recognition[SPI]Engineering Sciences [physics][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingComputer Science::Computer Vision and Pattern RecognitionGeneral Earth and Planetary SciencesBathymetry14. Life underwaterQuantization (image processing)Image resolution[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGeologyComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Discrimination of coral reflectance spectra in the Red Sea

2002

Benthic populations can potentially be mapped from remotely acquired spectral imagery, provided that they have distinctive reflectance signatures. We examined the spectral reflectance characteristics of 14 genera of Red Sea coral using a submersible spectroradiometer. Coral spectra varied quantitatively and qualitatively over the depth interval 5–20 m. Tissue pigment content had a larger effect on reflectance than colony morphology. Ten coral genera could be discriminated with a statistical probability of 52% on the basis of their absolute reflectance. Six groups of two to three coral genera could be discriminated with a probability of 60% on the basis of their rates of change in reflectanc…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciences[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingCoral0211 other engineering and technologies02 engineering and technologyAquatic Science01 natural sciencesSpectral line[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing14. Life underwaterComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryfungiPigment compositionCoral reefReflectivityWavelengthSpectroradiometerBenthic zone[SDE]Environmental SciencesEnvironmental science[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Spatially variant dimensionality reduction for the visualization of multi/hyperspectral images

2011

International audience; In this paper, we introduce a new approach for color visu- alization of multi/hyperspectral images. Unlike traditional methods, we propose to operate a local analysis instead of considering that all the pixels are part of the same population. It takes a segmentation map as an input and then achieves a dimensionality reduction adaptively inside each class of pixels. Moreover, in order to avoid unappealing discon- tinuities between regions, we propose to make use of a set of distance transform maps to weigh the mapping applied to each pixel with regard to its relative location with classes' centroids. Results on two hyperspec- tral datasets illustrate the efficiency of…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer sciencePopulation0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionSegmentationspectral imageseducationspatially variantvisualization021101 geological & geomatics engineeringdimensionality reductioneducation.field_of_studyPixelbusiness.industryDimensionality reductionHyperspectral imagingIndependent component analysisVisualizationComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingArtificial intelligencebusinessDistance transform[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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