With the spectral experiment and the simultaneous observation results of Hyperion satellite on 19 August, 2004 as the basic dataset, the authors used the uncertainty principle of spatial data to develop a "bands model" for chlorophyll-a concentration retrieval algorithm of the subsection mapping retrieval model. It is thus found that in the ranges of 10-20 μg/L and 50-100 μg/L, the retrieval error of chlorophyll-a concentration is relatively low, (approximately ±20%), whereas in the range of 20-50 μg/L, the retrieval error of chlorophyll-a concentration is relatively high, (approximately ±40%). A comparison with the traditional methods for error describing shows that the "bands model" could include more detailed and accurate information of data quality for remote sensing products.
陈军, 陆凯, 王保军. 基于带模型的叶绿素a浓度反演精度评估[J]. 国土资源遥感, 2011, 23(4): 83-86.
CHEN Jun, LU Kai, WANG Bao-jun. The Uncertainty Model for Water Qualities Retrieval Results: A Case Study of Chlorophyll-a Concentration. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 83-86.
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2011, Vol. 23 
