Search results for "Sentinel-3"

showing 5 items of 15 documents

A New Algorithm for the Retrieval of Sun Induced Chlorophyll Fluorescence of Water Bodies Exploiting the Detailed Spectral Shape of Water-Leaving Rad…

2021

Sun induced chlorophyll fluorescence (SICF) emitted by phytoplankton provides considerable insights into the vital role of the carbon productivity of the earth’s aquatic ecosystems. However, the SICF signal leaving a water body is highly affected by the high spectral variability of its optically active constituents. To disentangle the SICF emission from the water-leaving radiance, a new high spectral resolution retrieval algorithm is presented, which significantly improves the fluorescence line height (FLH) method commonly used so far. The proposed algorithm retrieves the reflectance without SICF contribution by the extrapolation of the reflectance from the adjacent regions. Then, the SICF …

TeledeteccióSpectral shape analysis010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesExtrapolationAigua Qualitat02 engineering and technologywater quality01 natural sciencesocean colorAtmospheric radiative transfer codesSpectral resolutionChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesphotosynthesisQHydroLightFluorescènciaWavelengthOcean colorphytoplanktonRadianceGeneral Earth and Planetary SciencesEnvironmental sciencefluorescencefluorescence; HydroLight; water quality; ocean color; photosynthesis; phytoplankton; ocean productivity; optically active constituents; Sentinel-3; ocean and land color instrumentAlgorithmRemote Sensing
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Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

2022

Thanks to the emergence of cloud-computing platforms and the ability of machine learning methods to solve prediction problems efficiently, this work presents a workflow to automate spatiotemporal mapping of essential vegetation traits from Sentinel-3 (S3) imagery. The traits included leaf chlorophyll content (LCC), leaf area index (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), and fractional vegetation cover (FVC), being fundamental for assessing photosynthetic activity on Earth. The workflow involved Gaussian process regression (GPR) algorithms trained on top-of-atmosphere (TOA) radiance simulations generated by the coupled canopy radiative transfer model (RTM) SC…

Vegetation traitsTime seriesvegetation traits; Sentinel-3; TOA radiance; OLCI; Gaussian process regression; machine learning; hybrid method; time series; Google Earth EngineTOA radianceMachine learningHybrid methodGeneral Earth and Planetary SciencesMatemática AplicadaSentinel-3OLCIGoogle Earth EngineGaussian process regressionRemote Sensing
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A sun-induced vegetation fluorescence retrieval method from top of atmosphere radiance for the FLEX/Sentinel-3 TanDEM mission

2015

A new fluorescence retrieval method is proposed to support ESA's 8th Earth Explorer FLuorescence EXplorer/Sentinel-3 (FLEX-S3) candidate tandem mission. FLEX is the first mission specially dedicated to measure the Sun-Induced vegetation chlorophyll fluorescence (SIF) strongly related with the vegetation photosynthetic activity. Most hyperspectral fluorescence retrieval algorithms available in the literature are very sensitive to true reflectance modelization and/or they assume the atmospheric status as known. The proposed algorithm delivers the retrieval of full fluorescence spectrum at canopy level by using only Top Of Atmosphere (TOA) radiances from S3 and FLEX as input. Once the spatial …

business.industryAtmospheric correctionHyperspectral imagingAtmospheric modelAtmospheric correction FLEX Fluorescence retrieval Sentinel-3 Synergy productsAtmosphereGEO/10 - GEOFISICA DELLA TERRA SOLIDAOpticsRadianceEnvironmental scienceFLEXAbsorption (electromagnetic radiation)businessChlorophyll fluorescenceRemote sensing2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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A Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data

2020

[EN] Retrieval of land surface temperature (LST) from satellite data allows to estimate the surface urban heat island (SUHI) as the difference between the LST obtained in the urban area and the LST of its surroundings. However, this definition depends on the selection of the urban and surroundings references, which translates into greater difficulty in comparing SUHI values in different urban agglomerations across the world. In order to avoid this problem, a methodology is proposed that allows reliable quantification of the SUHI. The urban reference is obtained from the European Space Agency Climate Change Initiative Land Cover and three surroundings references are considered; that is, the …

geographythermal remote sensing; land surface temperature; urban heat island; SLSTR; Sentinel-3geography.geographical_feature_categoryRadiometerLand surface temperatureUrban agglomeration11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos seguros resilientes y sosteniblesScienceQClimate changeland surface temperatureLand coverurban heat islandUrban areaSLSTRClimatologythermal remote sensingGeneral Earth and Planetary SciencesEnvironmental scienceSentinel-3Urban heat islandSurface urban heat islandRemote Sensing
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Sentinel satelītdatu izmantošana kā alternatīva hlorofila-a in situ mērījumu veikšanai Rīgas līcī

2022

Hlorofila-a mērīšana un uzraudzīšana ir svarīga vides izmaiņu konstatēšanā un vides problēmu risināšanā Rīgas līcī. Attālinātā hlorofila-a mērīšana būtu efektīvāka par in situ paraugu ievākšanu, jo tiktu vienlaicīgi apsekota liela teritorija, ietaupīts laiks un resursi. Mūsdienu tālvadības sensoru, piemēram, OLCI (Okeāna un zemes krāsu instrumenta) uz Sentinel-3 satelīta ir ļāvusi iegūt okeāna bioģeoķīmiskos produktus ar augstāku telpisko (300 m x 300 m) izšķirtspēju, nekā tas bija iespējams agrāk. Taču galvenā problēma ir Baltijas jūras optiskās īpašības, kas sarežģī attālināto metožu algoritmu pielietošanu. Bakalaura darba mērķis ir novērtēt Sentinel satelītdatu produktu precizitāti Rīgas…

ūdens optiskās komponentesVides zinātnehlorofils-atālizpēteRīgas līcisSentinel-3
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