A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data
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| date | 2014-10-28 14:37:05 |
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| id | 11313 |
| institution | UniSZA |
| internalnotes | [1] A. Ahmad and S. Quegan, Multitemporal Cloud Detection and Masking Using MODIS Data, Applied Mathematical Sciences, 8(7) (2014), 345–353. [2] A. Ahmad, M.K.A. Ghani, S. Razali, H. Sakidin and N.M. Hashim, Haze Reduction from Remotely Sensed Data, Applied Mathematical Sciences, 8(36) (2014), 1755–1762. [3] A. Asmala, A.R.M. Amin, A. Fadhli, M. Mustafa and A. Khiruddin, Euphotic Depth Zone Variation in Peninsular Malaysia Maritime. Applied Mathematical Sciences, 8(68), (2014). 3375–3383. [4] AR.M. Amin, K. Abdullah and M. Rivaie, Discriminating cirrus cloud from MODIS imagery over oceans utilizing gradient technique, 2011 IEEE Colloquium on Humanities, Science and Engineering (CHUSER), (2011), 513–518. [5] B.C. Gao and R.R. Li, The spatial and temporal variations of high clouds based on the MODIS 1.375 micron channel measurements, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008, (2008), 582–585. [6] B.C. Gao, Y. Kaufman, D. Tanre, and R.R. Li, Distinguishing tropospheric aerosols from thin cirrus clouds for improved aerosol retrievals using the ratio of 1.38 μm and 1.24 μm channels, Geophy. Res. Lett., 29(999918), 1890, (2002). [7] M.I. Mishchenko, I.V. Geogdzhayev, B. Cairns, W.B. Rossow and A.A. Lacis, Aerosol retrievals over the ocean by use of channels 1 and 2 AVHRR data: sensitivity analysis and preliminary results, Applied Optics, 38 (1999), 7325–7341. [8] R.C. Levy, L.A. Remer, D. Tanre, S. Matoo and Y.J. Kaufman, Algorithm for Remote Sensing of Tropospheric Aerosol From MODIS: Collection 005 and 0.51, [online] Available: http://modis-atmos.gsfc.nasa.gov, (2009). [9] S.A. Ackerman, K.I. Strabala, W.P. Menzel, R. Frey, C. Moeller, L. Gumley, B.A. Baum, S.W. Seeman and H. Zhang, Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35). ATBD-MOD-06, Version 5.0, (2010), NASA, Greenbelt, MD. |
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| spelling | 11313 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=11313 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal UniSZA Unisza unisza image/jpeg inches 96 96 787 09 09 2014-10-28 14:37:05 1410x787 1410 5530-01-FH02-FIK-14-01566.jpg UniSZA Private Access A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data Applied Mathematical Sciences This study aims to compare between ratio technique (RT) and gradient technique (GT) to distinguish cirrus cloud from tropospheric aerosol over water in MODIS data. Both techniques make use of 1.375 µm and 1.240 µm band and are applied to five different scenes. The outcomes from both techniques are compared using an error matrix in which revealing that the GT has a very high agreement with RT in distinguishing cirrus cloud from tropospheric aerosol in MODIS data. 8 124 HIKARI Ltd. HIKARI Ltd. 6151-6158 [1] A. Ahmad and S. Quegan, Multitemporal Cloud Detection and Masking Using MODIS Data, Applied Mathematical Sciences, 8(7) (2014), 345–353. [2] A. Ahmad, M.K.A. Ghani, S. Razali, H. Sakidin and N.M. Hashim, Haze Reduction from Remotely Sensed Data, Applied Mathematical Sciences, 8(36) (2014), 1755–1762. [3] A. Asmala, A.R.M. Amin, A. Fadhli, M. Mustafa and A. Khiruddin, Euphotic Depth Zone Variation in Peninsular Malaysia Maritime. Applied Mathematical Sciences, 8(68), (2014). 3375–3383. [4] AR.M. Amin, K. Abdullah and M. Rivaie, Discriminating cirrus cloud from MODIS imagery over oceans utilizing gradient technique, 2011 IEEE Colloquium on Humanities, Science and Engineering (CHUSER), (2011), 513–518. [5] B.C. Gao and R.R. Li, The spatial and temporal variations of high clouds based on the MODIS 1.375 micron channel measurements, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008, (2008), 582–585. [6] B.C. Gao, Y. Kaufman, D. Tanre, and R.R. Li, Distinguishing tropospheric aerosols from thin cirrus clouds for improved aerosol retrievals using the ratio of 1.38 μm and 1.24 μm channels, Geophy. Res. Lett., 29(999918), 1890, (2002). [7] M.I. Mishchenko, I.V. Geogdzhayev, B. Cairns, W.B. Rossow and A.A. Lacis, Aerosol retrievals over the ocean by use of channels 1 and 2 AVHRR data: sensitivity analysis and preliminary results, Applied Optics, 38 (1999), 7325–7341. [8] R.C. Levy, L.A. Remer, D. Tanre, S. Matoo and Y.J. Kaufman, Algorithm for Remote Sensing of Tropospheric Aerosol From MODIS: Collection 005 and 0.51, [online] Available: http://modis-atmos.gsfc.nasa.gov, (2009). [9] S.A. Ackerman, K.I. Strabala, W.P. Menzel, R. Frey, C. Moeller, L. Gumley, B.A. Baum, S.W. Seeman and H. Zhang, Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35). ATBD-MOD-06, Version 5.0, (2010), NASA, Greenbelt, MD. |
| spellingShingle | A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data |
| summary | This study aims to compare between ratio technique (RT) and gradient technique (GT) to distinguish cirrus cloud from tropospheric aerosol over water in MODIS data. Both techniques make use of 1.375 µm and 1.240 µm band and are applied to five different scenes. The outcomes from both techniques are compared using an error matrix in which revealing that the GT has a very high agreement with RT in distinguishing cirrus cloud from tropospheric aerosol in MODIS data. |
| title | A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data |
| title_full | A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data |
| title_fullStr | A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data |
| title_full_unstemmed | A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data |
| title_short | A comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in MODIS data |
| title_sort | comparison between ratio and gradient technique in discriminating cirrus clouds from tropospheric aerosols over water in modis data |