AEROgui: A Graphical User Interface for the Optical Properties of Aerosols

Pedrós, R.; Gómez-Amo, José Luís; Marcos, C.; Utrillas, M. P.; Gandía, S.; Tena, F.; Lozano, José Antonio Martínez

doi:10.1175/bams-d-13-00162.1

Cited by 6 publications

(5 citation statements)

References 40 publications

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“…However, both do not address the timevarying atmospheric state or measurement-related phenomena that affect ground-based lidars. The Optical Properties of Aerosols and Clouds (OPAC) database [29], [30] offers a few predefined 1D atmospheric profiles or a user interface for manual specifications [31]; however, OPAC has not addressed temporal atmospheric variations.…”

Section: Prior Databases and Simulatorsmentioning

confidence: 99%

ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation

Vainiger

Shubi

Schechner

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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Methods based on statistical learning have become prevalent in various signal processing disciplines and have recently gained traction in atmospheric lidar studies. Nonetheless, such methods often require large quantities of annotated or resolved data. Such data is rare and requires effort, especially when exploring evolving phenomena. Existing simulators and databases primarily focus on atmospheric vertical profiles. We propose the Atmospheric Lidar Data Augmentation (ALiDAn) framework to fill this gap. ALiDAn serves as an end-to-end generation and augmentation framework of spatiotemporal and multiwavelength resolved lidar simulated data. ALiDAn employs a hybrid approach of physical models, data statistics, and sampling processes. Additionally, it takes into account geographical and seasonal characteristics of aerosols, meteorological conditions, along with short-and long-term phenomena that affect lidar measurements. This approach can provide diversified data and robust benchmarks to assist in developing and validating new lidar processing algorithms. We demonstrate simulations compatible with a pulsed time-of-flight lidar. Our approach leverages a broader use of existing databases and can inspire similar data augmentation to other types of lidars and active sensors.

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Section: Prior Databases and Simulatorsmentioning

confidence: 99%

ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation

Vainiger

Shubi

Schechner

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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“…A userfriendly web interface was developed for MOPSMAP facilitating online calculations. The AEROgui tool ( Pedrós et al,2014 ) is a similar GUI package that can be used to obtain the optical properties of a mixture of aerosol particles. Accordingly, AEROgui expands the current capabilities of OPAC by also providing a user interface to facilitate user definition of new aerosol mixtures.…”

Section: Overview Of Existing Atmospheric Rtms and Associated Guismentioning

confidence: 99%

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

et al. 2020

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Abstract. Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth's atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks used to evaluate model performance and identify the characteristics that differ between models. This can be a tedious tasks that requires good knowledge of the model inputs/outputs and the generation of large databases of consistent simulations. With the evolution of these software tools, their increase in complexity bears implications for their use in practical applications and model intercomparison. Existing RTM-specific graphical user interfaces are not optimized for performing intercomparison studies of a wide variety of atmospheric RTMs. In this paper, we present the Atmospheric Look-up table Generator (ALG) version 2.0, a new software tool that facilitates generating large databases for a variety of atmospheric RTMs. ALG facilitates consistent and intuitive user interaction to enable the running of model executions and storing of RTM data for any spectral configuration in the optical domain. We demonstrate the utility of ALG in performing intercomparison studies of radiance simulations from broadly used atmospheric RTMs (6SV, MODTRAN, and libRadtran) through global sensitivity analysis. We expect that providing ALG to the research community will facilitate the usage of atmospheric RTMs to a wide range of applications in Earth observation.

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“…A user-friendly web interface was developed for MOPSMAP facilitating online calculations. The AEROgui tool (Pedrós et al, 2014) is a similar GUI package that can be used to obtain the optical properties of a mixture of aerosol particles. Accordingly, AEROgui expands the current capabilities of OPAC by also providing a user interface to facilitate user definition of new aerosol mixtures.…”

Section: Opacmentioning

confidence: 99%

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

Vicent¹,

Verrelst²,

Sabater³

et al. 2019

Preprint

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Abstract. Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth’s atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks to evaluate model performance and identify the characteristics that differ between models. This can be a tedious tasks that requires a good knowledge of the model inputs-outputs and generation of large databases of consistent simulations. With the evolution of these software tools, their increase in complexity bears implications towards their use in practical applications and model intercomparison. Existing RTM-specific graphical user interfaces are not optimized for performing intercomparison studies of a wide variety of atmospheric RTMs. In this paper, we present the Atmospheric Look-up table Generator (ALG) version 2.0, a new software tool that facilitates generating large databases for a variety of atmospheric RTMs. ALG facilitates consistent and intuitive user interaction to enable running model executions and storing RTM data for any spectral configuration in the optical domain. We demonstrate the utility of ALG to perform intercomparison studies and global sensitivity analysis of broadly used atmospheric RTMs (6SV, MODTRAN, libRadtran). We expect that providing ALG to the research community will facilitate the usage of atmospheric RTMs to a wide range of applications in Earth Observation.

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AEROgui: A Graphical User Interface for the Optical Properties of Aerosols

Cited by 6 publications

References 40 publications

ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation

ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

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