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海上漂浮绿潮生物量的估算对实现绿潮处置资源高效配置、提高应急处置效率具有重要意义。利用现场实验获取的漂浮绿潮单位面积生物量及其地物反射光谱数据,分析了漂浮绿潮光谱特征和多种光谱指数与单位面积生物量之间的响应关系,基于此构建并验证了漂浮绿潮生物量估算模型。结果显示漂浮绿潮近红外波段反射率与单位面积生物量之间存在强相关关系(相关系数R≈0.8);光谱指数以及960nm反射峰和1060nm吸收峰峰值与漂浮绿潮单位面积生物量显著相关(R>0.7);基于R_(960)/R_(670)和R_(1060)/R_(670)(R_(670),R_(960),R_(1060)分别为670,960,1060nm处的反射率)构建的漂浮绿潮生物量指数估算模型具有较高的精度(R~2≈0.9,相对误差R_(PE)≈27%)。研究结果为利用遥感技术实现海面漂浮绿潮生物量估算提供了参考。
Estimation of the floating green tide biomass at sea is of great significance to realize the efficient allocation of green tide disposal resources and improve the efficiency of emergency disposal. Based on the data of biomass per unit area and surface reflectance data of floating green tide obtained from field experiments, the spectral characteristics of floating green tide and the relationship between the spectral indexes and the biomass per unit area were analyzed. Based on this, Green tide biomass estimation model. The results showed that there was a strong correlation between the reflectance in the near-infrared wave and the biomass per unit area (correlation coefficient R≈0.8). The spectral index, the peak at 960nm and the peak at 1060nm were significantly correlated with the biomass per unit area (R> 0.7); reflectivity at 670, 960 and 1060 nm respectively based on R_ (960) / R_ (670) and R_1060 / R_670 R_670, R_960 and R_1060, (R ~ 2 ≈0.9, relative error R_ (PE) ≈27%). The results provide a reference for estimating the biomass of floating green tide by using remote sensing technology.