A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/12/11/1512 |
| _version_ | 1797511248999350272 |
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| author | Mikhail V. Tarasenkov Matvei N. Zonov Marina V. Engel Vladimir V. Belov |
| author_facet | Mikhail V. Tarasenkov Matvei N. Zonov Marina V. Engel Vladimir V. Belov |
| author_sort | Mikhail V. Tarasenkov |
| collection | DOAJ |
| description | A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small (the increment of the reflectance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>Δ</mo><msub><mi>r</mi><mrow><mi>s</mi><mi>u</mi><mi>r</mi><mi>f</mi></mrow></msub><mo>≤</mo></mrow></semantics></math></inline-formula> 0.005). The algorithm is based on statistical simulation by the Monte Carlo method of radiation transfer in stochastic broken cloudiness with a deterministic cylindrical gap. An interpolation formula is obtained for the radius of the cloud adjacency effect that can be used for the reconstruction the ground surface reflectance in real time without calculations by the Monte Carlo method. |
| first_indexed | 2024-03-10T05:42:41Z |
| format | Article |
| id | doaj.art-ddaadc4c4e7e4a9faf8bc005e3c13c81 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T05:42:41Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-ddaadc4c4e7e4a9faf8bc005e3c13c812023-11-22T22:25:29ZengMDPI AGAtmosphere2073-44332021-11-011211151210.3390/atmos12111512A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud FieldsMikhail V. Tarasenkov0Matvei N. Zonov1Marina V. Engel2Vladimir V. Belov3V.E. Zuev Institute of Atmospheric Optics SB RAS, 1, Academician Zuev Square, 634055 Tomsk, RussiaV.E. Zuev Institute of Atmospheric Optics SB RAS, 1, Academician Zuev Square, 634055 Tomsk, RussiaV.E. Zuev Institute of Atmospheric Optics SB RAS, 1, Academician Zuev Square, 634055 Tomsk, RussiaV.E. Zuev Institute of Atmospheric Optics SB RAS, 1, Academician Zuev Square, 634055 Tomsk, RussiaA method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small (the increment of the reflectance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>Δ</mo><msub><mi>r</mi><mrow><mi>s</mi><mi>u</mi><mi>r</mi><mi>f</mi></mrow></msub><mo>≤</mo></mrow></semantics></math></inline-formula> 0.005). The algorithm is based on statistical simulation by the Monte Carlo method of radiation transfer in stochastic broken cloudiness with a deterministic cylindrical gap. An interpolation formula is obtained for the radius of the cloud adjacency effect that can be used for the reconstruction the ground surface reflectance in real time without calculations by the Monte Carlo method.https://www.mdpi.com/2073-4433/12/11/1512satellite imagesatmospheric correctionground surface reflectancebroken cloudinesscloud adjacency effectMonte Carlo method |
| spellingShingle | Mikhail V. Tarasenkov Matvei N. Zonov Marina V. Engel Vladimir V. Belov A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields Atmosphere satellite images atmospheric correction ground surface reflectance broken cloudiness cloud adjacency effect Monte Carlo method |
| title | A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields |
| title_full | A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields |
| title_fullStr | A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields |
| title_full_unstemmed | A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields |
| title_short | A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields |
| title_sort | method for estimating the cloud adjacency effect on the ground surface reflectance reconstruction from passive satellite observations through gaps in cloud fields |
| topic | satellite images atmospheric correction ground surface reflectance broken cloudiness cloud adjacency effect Monte Carlo method |
| url | https://www.mdpi.com/2073-4433/12/11/1512 |
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