Monitoring Diurnal Underwater Temperature Using Fy-2c in Poyang Lake Nature Reserve, China
نویسنده
چکیده
Significant numbers of bird species forage on the tubers of the submerged aquatic species. This resource is difficult to map due to the submerged nature of these species. Because the temperature is the primary driving factor of photosynthesis in these vegetation species, it is possible to map the distribution and biomass production of these submerged species indirectly. For the relative short growth date of the submerged aquatic species, geostationary satellites are of particular interest because they depict the diurnal cycle. So far, however, few researches related high temporal resolution satellite data to monitor underwater temperature. In this paper we explored the possibility of using Fengyun-2C meteorological satellite imagery as the primary data source to monitor the diurnal underwater temperature. We firstly retrieved lake surface temperature and radiation using FY-2C imagery and validated it by ground observed data. Secondly, the relationship between the environmental factors and underwater temperature is analyzed. Then two regression models were built respectively for day-time and night-time for the variance of the underwater temperature. We modeled day-time underwater temperature by water depth, turbidity, water skin solar radiation and temperature. Water surface temperature and water depth were used for night-time model. Finally, we attempted to apply these models to predict the temperature to see how far this method can go. The result showed that this method explained 72 % of the variance of the diurnal underwater temperature. The standard error of the prediction was 0.5C. So this method is capable of predicting the spatial distribution of underwater temperature.
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