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Subpixel water temperature estimation of Urmia lake using un mixing approach of thermal infrared satellite images
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Parvize Ziaeean Firoozabadi *   , Manoochehr Farajzadeh , Ali Jafare Mosivand , Mahmood Omidali |
| kharazmi university |
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Abstract: (5944 Views) |
| Measuring water temperature is an important environmental index in order to study narrow channels, rivers, and lakes. Also, it has important role in environmental and water resources management. Although high resolution data can provide better estimation of surface water temperature, but due to their low temporal resolution, they have less applicability. In contrast, low spatial resolution data like Modis images, due to their high temporal resolution (several times a day), is more suitable for estimating parameters of dynamic phenomenon such as water temperature. In order to use low resolution images, a sub-pixel unmixing technique was developed and tried on Urmia lake waters. This approach leads an improvement in accuracy of water temperature maps derived from vectors water features. After derivation of each image fractions for water and land and calculation of emissivity of each fraction, water temperature was estimated using Split Window algorithm. Then temperature water sub-pixel was compared to the temperature map obtained from ASTER thermal bands. Standard error between the images was estimated to be 0.58 centigrade, which is a favorable result. |
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| Keywords: Water temperature, MODIS, ASTER, Pixel-base, Sub-pixel |
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Full-Text [PDF 1246 kb]
(1876 Downloads)
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Type of Study: Research |
Received: 2015/07/11 | Accepted: 2015/07/11 | Published: 2015/07/11
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