Spatial scale of chlorophyll-a concentration in Lake Taihu by using remote sensing images
2010
Chlorophyll-a concentration is one of the most important indexes of Lake Eutrophication. Fine temporal and spatial
resolution remote sensing images provide an effective way to monitor blue-green algae in Lake Taihu by studying the
spatial distribution regularities of chla concentration. However, both low spatial resolution remote sensing images (e.g.
MODIS) due to their heterogeneity and high or moderate spatial resolution remote sensing images (e.g. TM/ETM+) due
to their low temporal resolution give rise to unsatisfactory estimate of chla concentration. Therefore, in this study, an
effective method for estimating chla concentration using remote sensing images at different scales was developed. Chla
concentration was inferred from Hyperion images at 30m resolution and MODIS images at 250m resolution. The spatial
variability of Chla concentration was analyzed and Taihu Lake was divided into area with low variability and area with
high variability. The quadratic polynomial (R 2 =0.8709) and linear (R 2 =0.7387) correlation was established. Finally, the
obtained relationship between chla concentration estimate at different spatial scales were applied to correct the estimate
from MODIS data.
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