Search results for "MODTRAN"

showing 10 items of 26 documents

Alg: a Toolbox for the Generation of Look-Up tables Based on Atmospheric Radiative Transfer Models

2018

Atmospheric radiative transfer models (RTMs) are software tools describing the radiation processes occurring on the Earth’s atmosphere. While the evolution of these tools have achieved better representations of the light-atmosphere interactions, the increase of complexity, interpretability and computation time bears implications towards practical applications in Earth observation. Despite of existing RTM-specific graphical user interfaces, none of these tools allow common streamlining model setup for a wide variety of atmospheric RTMs. In addition, the automatic generation of atmospheric look-up tables (LUTs) can hardly be done with the use of these graphical tools. This paper presents the …

Earth observation010504 meteorology & atmospheric sciencesbusiness.industryMODTRANComputer science0211 other engineering and technologies02 engineering and technology01 natural sciencesDomain (software engineering)Computational scienceSoftwareLookup tableRadiative transferTable (database)business021101 geological & geomatics engineering0105 earth and related environmental sciencesGraphical user interface2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models

2022

Physically based radiative transfer models (RTMs) are widely used in Earth observation to understand the radiation processes occurring on the Earth’s surface and their interactions with water, vegetation, and atmosphere. Through continuous improvements, RTMs have increased in accuracy and representativity of complex scenes at expenses of an increase in complexity and computation time, making them impractical in various remote sensing applications. To overcome this limitation, the common practice is to precompute large lookup tables (LUTs) for their later interpolation. To further reduce the RTM computation burden and the error in LUT interpolation, we have developed a method to automaticall…

Earth observationMODTRANComputer scienceRemote sensing application0211 other engineering and technologiesAtmospheric correction02 engineering and technologyArticlesymbols.namesakeJacobian matrix and determinantLookup tablesymbolsRadiative transferGeneral Earth and Planetary SciencesElectrical and Electronic EngineeringAlgorithm021101 geological & geomatics engineeringInterpolationIEEE Transactions on Geoscience and Remote Sensing
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Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

2021

Atmospheric radiative transfer models (RTMs) simulate the light propagation in the Earth's atmosphere. With the evolution of RTMs, their increase in complexity makes them impractical in routine processing such as atmospheric correction. To overcome their computational burden, standard practice is to interpolate a multidimensional lookup table (LUT) of prestored simulations. However, accurate interpolation relies on large LUTs, which still implies large computation times for their generation and interpolation. In recent years, emulation has been proposed as an alternative to LUT interpolation. Emulation approximates the RTM outputs by a statistical regression model trained with a low number …

EmulationMODTRANComputer scienceDimensionality reduction0211 other engineering and technologiesAtmospheric correction02 engineering and technologyArticlesymbols.namesakePrincipal component analysisLookup tablesymbolsGeneral Earth and Planetary SciencesElectrical and Electronic EngineeringGaussian processAlgorithm021101 geological & geomatics engineeringInterpolation
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Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

2018

Computationally expensive radiative transfer models (RTMs) are widely used to realistically reproduce the light interaction with the earth surface and atmosphere. Because these models take long processing time, the common practice is to first generate a sparse look-up table (LUT) and then make use of interpolation methods to sample the multidimensional LUT input variable space. However, the question arise whether common interpolation methodsperform most accurate. As an alternative to interpolation, this paper proposes to use emulation, i.e., approximating the RTM output by means of the statistical learning. Two experiments were conducted to assess the accuracy in delivering spectral outputs…

FOS: Computer and information sciencesComputer Science - Machine LearningAtmospheric Science010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyStatistics - Applications01 natural sciencesArticleMachine Learning (cs.LG)Sampling (signal processing)KrigingInverse distance weightingApplications (stat.AP)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesEmulationArtificial neural networkMODTRANComputational Physics (physics.comp-ph)Physics - Atmospheric and Oceanic PhysicsAtmospheric and Oceanic Physics (physics.ao-ph)Lookup tablePhysics - Computational PhysicsAlgorithmInterpolationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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<title>Temperature and emissivity retrieval from DAIS data: application to the DAISEX campaigns in Colmar (France) and Barrax (Spain)</title…

2001

In the present paper it is presented a methodology to calculate the surface temperature (ST) from the combination of the radiometric temperature in two different DAIS (Digital Airborne Imaging Spectrometer) thermal bands using split-window (sw) method. To get this objective the MODTRAN 3.5 radiative transfer code was used to predict radiance for DAIS channels 74 (8.75 µm), 75 (9.65 µm), 76 (10.48 µm), 77 (1 1.27 µm), 78 (12.00 µm) and 79 (12.67 µm) at different aircraft altitudes with the appropriate channel filter functions. In order to analyse atmospheric effects a set of radiosoundings that cover the variability of surface temperature and water vapour concentration on a world-wide scale …

GeographyMeteorologyMODTRANRadianceEmissivityImaging spectrometerRadiative transferDaisWater vaporStandard deviationRemote sensingSPIE Proceedings
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A Split-Window Algorithm for Estimating LST From Meteosat 9 Data: Test and Comparison With Data and MODIS LSTs

2009

The main purpose of this letter is to give an operational algorithm for retrieving the land surface temperature (LST) using the Spinning Enhanced Visible and Infrared Imager data onboard the Meteosat Second Generation (MSG2) satellite. The algorithm is a split-window method using the two thermal infrared channels IR10.8 and IR12.0. The MODTRAN 4.0 code was used to obtain numerical coefficients of the algorithm proposed. The results show that for viewing angles lower than 50deg the algorithm is capable of producing LST with a standard deviation of 0.7 K and a root-mean-square error (rmse) of 1.3 K. The algorithm has been applied to a series of MSG2 images obtained from an MSG antenna system …

In situMeteorologyLand surface temperatureMean squared errorMODTRANGeotechnical Engineering and Engineering GeologyStandard deviationEnvironmental scienceSatelliteElectrical and Electronic EngineeringSplit windowImage retrievalAlgorithmRemote sensingIEEE Geoscience and Remote Sensing Letters
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Validation of temperature-emissivity separation and split-window methods from TIMS data and ground measurements

2003

Abstract Land surface temperature retrieved with temperature-emissivity separation (TES) and split-window (SW) algorithms from six-channel Thermal Infrared Multispectral Scanner (TIMS) data in the HAPEX-Sahel experiment agreed with contemporaneous ground temperature measurements to within ±1 °C (TES and SW with channels at 10.8 and 11.7 μm, or SW-56). The SW algorithm used with TIMS channels at 8.4 and 8.7 μm (SW-12) underestimated ground temperatures by 2–5 °C. The TES method required atmospheric correction of at-sensor radiances, which was done with local radiosonde data and MODTRAN 4, and an empirical relationship between the spectral range of emissivity and its minimum value. Emissivity…

MODTRANAtmospheric correctionSoil ScienceGeologyVegetationMultispectral Scannerlaw.inventionlawRadianceRange (statistics)EmissivityRadiosondeEnvironmental scienceComputers in Earth SciencesRemote sensingRemote Sensing of Environment
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A simplified method for estimating the total water vapor content over sea surfaces using NOAA-AVHRR channels 4 and 5

2002

A simplified method for estimating the total amount of atmospheric water vapor, W, over sea surfaces using NOAA-AVHRR Channels 4 and 5 is presented. This study has been carried out using simulated AVHRR data at 11 and 12 /spl mu/m (with MODTRAN 3.5 code and the TIGR database) and AVHRR, PODAAC, and AVISO databases provided by the Louis Pasteur University (Strasbourg-France), NASA-NOAA, and Meteo France, respectively. The method is named linear atmosphere-surface temperature relationship (LASTR). It is based on a linear relationship between the effective atmospheric temperature in AVHRR Channel 4 and sea surface temperature. The LASTR method was compared with the linear split-window relation…

MODTRANInstrumentationBrightness temperatureLinear regressionGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryElectrical and Electronic EngineeringAtmospheric temperatureStandard deviationWater vaporRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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In-scene atmospheric correction of hyperspectral thermal infrared images with nadir, horizontal, and oblique view angles

2012

Atmospheric corrections for hyperspectral thermal images acquired with nadir, horizontal, and oblique views have typically relied on atmospheric modelling software, such as Moderate Resolution Atmospheric Transmission MODTRAN, to estimate atmospheric parameters. Data-only corrections, which require only information from the scene, are more versatile and less labour intensive, but do not yet seem to have been applied to horizontal and oblique views. Here, we apply, and modify where necessary, one published data-only algorithm in-scene atmospheric correction ISAC to nadir, horizontal, and slanted views The Aerospace Corporation's Spatially Enhanced Broadband Array Spectrograph System SEBASS a…

MODTRANOblique projectionNadirEmissivityAtmospheric correctionGeneral Earth and Planetary SciencesOblique caseHyperspectral imagingSpectrographGeologyRemote sensingInternational Journal of Remote Sensing
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Error sources on the land surface temperature retrieved from thermal infrared single channel remote sensing data

2006

In this paper, a theoretical study complementary to others given in the literature about the errors committed on the land surface temperature retrieved from the radiative transfer equation in the thermal infrared region by remote sensing techniques has been analysed. For this purpose, the MODTRAN 3.5 code has been used in order to simulate different conditions and evaluate the influence of several parameters on the land surface temperature accuracy: atmospheric correction, noise of the sensor, land surface emissivity, aerosols and other gaseous absorbers, angular effects, wavelength uncertainty, full‐width half‐maximum of the sensor and band‐pass effects. The results show that the most impo…

MeteorologyMODTRANAtmospheric correctionNoise (electronics)WavelengthBruitmedicineRadiative transferEmissivityGeneral Earth and Planetary SciencesEnvironmental scienceRadiometrymedicine.symptomRemote sensingInternational Journal of Remote Sensing
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