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摘要： 城市黑臭水体遥感分级识别对于黑臭水体的监管及治理具有重要作用。针对目前黑臭水体遥感识别算法无法对河流黑臭程度分级这一问题，在沈阳市建成区内开展野外实验，对比分析一般水体、轻度黑臭水体和重度黑臭水体的反射率光谱差异，利用绿波段反射率的基线差值与红波段反射率之比，提出了一种城市黑臭水体遥感分级指数BOCI(Black and Odorous water Classification Index)模型。首先采用实测光谱数据对BOCI模型检验，并将其与改进后归一化比值模型进行对比，结果表明，BOCI模型具有更高的黑臭水体识别精度，且可以将重度黑臭水体与轻度黑臭水体区分开，解决了现有模型无法对黑臭水体污染程度分级的问题；然后将BOCI模型应用于沈阳市同步GF-2影像进一步检验，同样取得了较高的识别精度；最后将该模型应用于2015~2018年4景GF-2影像，对研究区内黑臭水体进行动态监测，结果显示，新开河、南运河和满堂河黑臭现象逐步得到改善，辉山明渠黑臭现象依然很严峻。 关键词： 城市黑臭水体;  黑臭水体分级指数;  光谱特征;  高分二号;  沈阳市     Abstract: The classification and recognition of urban black-odor water by remote sensing plays an important role in the supervision and treatment of the black-odor water. Aiming at the problem that the current remote sensing recognition algorithm of black-odor water cannot classify the pollution degree of black-odor water, we conducted field experiments in Shenyang built-up area. The reflectance spectra and water quality parameters of general water, mild and heavy black-odor water were measured. According to the spectral characteristics of different water, based on the ratio of baseline difference of green band reflectance to red band reflectance, a remote sensing classification index BOCI (Black and Odorous water Classification Index) model is proposed. Firstly, BOCI is checked by the measured data on the ground, compared with improved normalized ratio model. The results show that BOCI has higher recognition accuracy. Moreover, BOCI can distinguish between mild and heavy black-odor water, which solves the problem that the existing model cannot classify the pollution degree of the black-odor water. Then, BOCI is applied to the synchronous GF-2 image of Shenyang for further tested, and the recognition accuracy is also high. Finally, BOCI is applied to the four GF-2 images of Shenyang from 2015 to 2018 to monitor the dynamic changes of black-odor water. The results show that the black-odor phenomena of Xinkai River, Nanyun River and Mantang River are gradually improved, but the black-odor phenomena of Huishan Canal are still very serious.

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