Data-to-data translation-based nowcasting of specific sea fog using geostationary weather satellite observation

Kim, Yerin; Ryu, Han-Sol; Hong, Sungwook

doi:10.1016/j.atmosres.2023.106792

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…Measurements of radiation at many wavelengths can provide more information about the materials in the selected feature scene, and images can be processed to extract all relevant information contained in multiple spectral bands [1]. As one of the main detection payloads on Earth observation satellites, the infrared multispectral imager has vast applications in meteorological analysis [2], environmental protection [3,4], the exploration of natural resources [5], and early warnings of geological disasters [6,7]. In recent years, because there has been a new generation of photoelectric detection technology that captures image data within specific wavelength ranges throughout the electromagnetic spectrum, multispectral imaging improves the dimension of image information and thus extends the function of traditional detection technology [8].…”

Section: Introductionmentioning

confidence: 99%

NIR to LWIR Dichroic Beamsplitter Designed and Manufactured for Space Optical Remote Sensor

Jiang,

Qin,

et al. 2024

Coatings

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The infrared dichroic beamsplitter plays an important role in infrared multi-band imaging systems, especially for infrared remote sensing. This paper presents the design and preparation of a dichroic beamsplitter that is capable of reflecting near infrared (NIR) and shortwave infrared (SWIR), and transmitting medium wave infrared (MWIR) as well as longwave infrared (LWIR). A single crystal germanium (Ge) sheet is used as the substrate of the dichroic beamsplitter, while Ge, zinc sulfide (ZnS) and ytterbium trifluoride (YbF3) are selected as coating materials. The average reflectance of the dichroic beamsplitter is more than 95% in bands 1.28 to 1.38 μm, 1.58 to 1.83 μm, and 1.95 to 2.32 μm, and the average transmittance is more than 92% in bands 3.7 to 6.2 μm and 7.5 to 12.5 μm at an incident angle of 45°. The dichroic beamsplitter has been successfully applied in the optical system of infrared remote sensing. It provides a technical approach for other optical systems to separate the optical spectrum from NIR to LWIR.

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Section: Introductionmentioning

confidence: 99%

NIR to LWIR Dichroic Beamsplitter Designed and Manufactured for Space Optical Remote Sensor

Jiang,

Qin,

et al. 2024

Coatings

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“…This enhancement will facilitate the integration of the past COMS data with the current GK2A data, enabling more comprehensive long-term studies. For this purpose, this study utilized a data-to-data (D2D) method [28][29][30][31], which consists of both pre-and post-processing of the satellite observation data with different units and ranges to the input and output data for learning D2D model, and conditional generative adversarial network (CGAN) structure [32] for adversarial learning between two different sensors such as Meteorological Imager (MI) and advanced MI (AMI) implemented using Pix2Pix framework [33].…”

Section: Introductionmentioning

confidence: 99%

Temporal Resolution Enhancement of COMS Satellite Using Geo-Kompsat-2A Satellite Through Data-to-Data Translation

Kim,

Ryu,

Han

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study introduces a data-to-data (D2D) translation approach that utilizes a conditional adversarial learning framework to generate hypothetical data at the Meteorological Imager (MI) sensor on the Communication, Ocean, and Meteorological Satellite (COMS). The proposed D2D model produces virtual 10-minute data from actual 30-minute data by exploiting the 10-minute temporal resolution (TR) of the advanced MI (AMI) on GEO-KOMPSAT-2A (GK2A) during the overlapping observation period of the two satellites. Specifically, the D2D model uses one visible (VIS) at 0.64 µm channel and four infrared (IR) channels (3.8, 6.9, 10.8, and 12.3 µm) from AMI of the actual 30minute data from April 2020 to April 2022 to train and test the model. Subsequently, the D2D model is applied to simulate hypothetical 10 min-TR COMS data using the 30-minute COMS observation data from September 2019 to March 2020 during the coexistence period of the two satellites. Regression-calibrated COMS data alleviated the spectral response function differences between MI and AMI sensors. The proposed D2D method exhibits excellent statistical performance, with an average root mean square error of 0.056 for the VIS channel and 3.237 K,

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Bayesian Neural Networks for Satellite Fog Detection: Quantifying Epistemic and Aleatoric Uncertainties

Deshpande,

Tripathi,

Bhattacharya

2024

Remote Sens Earth Syst Sci

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Data-to-data translation-based nowcasting of specific sea fog using geostationary weather satellite observation

Cited by 6 publications

References 29 publications

NIR to LWIR Dichroic Beamsplitter Designed and Manufactured for Space Optical Remote Sensor

NIR to LWIR Dichroic Beamsplitter Designed and Manufactured for Space Optical Remote Sensor

Temporal Resolution Enhancement of COMS Satellite Using Geo-Kompsat-2A Satellite Through Data-to-Data Translation

Bayesian Neural Networks for Satellite Fog Detection: Quantifying Epistemic and Aleatoric Uncertainties

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