Spatial scale of chlorophyll-a concentration in Lake Taihu by using remote sensing images

Ying Bao; Qingjiu Tian

doi:10.1117/12.910421

15 August 2011 Spatial scale of chlorophyll-a concentration in Lake Taihu by using remote sensing images

Ying Bao, Qingjiu Tian

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 820314 (2011) https://doi.org/10.1117/12.910421
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

Abstract

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 (R²=0.8709) and linear (R²=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.

Citation Download Citation

Ying Bao and Qingjiu Tian "Spatial scale of chlorophyll-a concentration in Lake Taihu by using remote sensing images", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 820314 (15 August 2011); https://doi.org/10.1117/12.910421

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KEYWORDS

MODIS

Remote sensing

Spatial resolution

Image resolution

Data modeling

Temporal resolution

Sensors

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