17 October 2006 Paddy rice mapping of the Caspian Sea coast using microwave and optical remotely sensed data
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Abstract
In this research, an attempted has been made to map paddy rice of the southern coastal areas of Caspian Sea using multi-temporal Radarsat and Landsat TM optical images acquired in different seasons of the year 1998. Two major tasks including land use map preparation and Change detection studies were implemented. Due to the presence of clouds, some parts of the TM based land use map were not completed. So, land use maps prepared with the use of Radarsat and TM fused images derived based on multiplicative, Brovey and principal component algorithms. For change detection studies, image differencing algorithm used to derive the changed areas. Most of the changed areas were observed to be within agricultural lands (Paddy fields). Results of this study show that fused image based on Brovey algorithm has not only eliminated the cloudy areas of TM data but also has more information on land use land cover in comparison with Radarsat and TM images alone. Comparison between land use change map and image derived from change detection studies showed a high correlation between agricultural lands (Paddy fields) and changed areas within the change image. The results of this study could be useful to agricultural and land use land cover planners.
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Parviz Zeaiean Firouzabadi, Javad Sadidy, "Paddy rice mapping of the Caspian Sea coast using microwave and optical remotely sensed data", Proc. SPIE 6359, Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII, 63591A (17 October 2006); doi: 10.1117/12.690750; https://doi.org/10.1117/12.690750
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