Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6949715 | ISPRS Journal of Photogrammetry and Remote Sensing | 2014 | 7 Pages |
Abstract
Based on in situ water sampling and field spectral measurements in Dianshan Lake, a semi-analytical three-band algorithm was used to estimate Chlorophylla (Chla) content in case II waters. The three bands selected to estimate Chla for high concentrations included 653, 691 and 748Â nm. An equation, based on the difference in reciprocal reflectance between 653 and 691Â nm, multiplied by reflectance at 748Â nm as [Rrsâ1(653) â Rrsâ1 (691)] Rrs(748), explained 85.57% of variance in Chla concentration with a root mean square error (RMSE) of <6.56Â mg/m3. In order to test the utility of this model with satellite data, HJ-1A Hyperspectral Imager (HSI) data were analyzed using comparable wavelengths selected from the in situ data [B67â1(656) â B80â1(716)] B87(753). This model accounted for 84.3% of Chla variation, estimating Chla concentrations with an RMSE of <4.23Â mg/m3. The results illustrate that, based on the determined wavelengths, the spectrum-based model can achieve a high estimation accuracy and can be applied to hyperspectral satellite imagery especially for higher Chla concentration waters.
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Authors
Liguo Zhou, Dar A. Roberts, Weichun Ma, Hao Zhang, Lin Tang,