摘要
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。
Accurate estimation of the floating green tide biomass has great significance to make the emergency response plan and realize the highly efficient allocation of resources. Relationships among the biomass per unit area of the floating green tide, spectral characteristics and the most frequently used indices for the green tide detection are analyzed with the in-situ data of floating green tide biomass and reflectance. Based on the analysis the estimation models are established and verified. Results show that the near infrared reflectance is strongly correlated with the biomass per unit area of green tide （correlation coefficient R ≈0.8） ; strong correlation exits between the biomass per unit area and the frequently used indices, the reflectance peak value is located at 960 nm and 1060 nm （R〉 0.7） ; estimation models of the floating green tide with exponent form based on R960/R670 and Rlo6o/R670 （R670 , R960 , R1060 are the reflectance at 670,960, 1060 nm, respectively） have the highest accuracy （R^2 ≈0.9, relative error RPE≈27 % ）. Research results can provide references for the floating green tide estimation on the sea surface by the remote sensing technology.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2017年第4期338-346,共9页
Acta Optica Sinica
基金
国家自然科学基金(41506203
41476159)
中韩国际合作项目(GY2014T03)
关键词
光谱学
遥感
生物量
光谱特征
绿潮
spectroscopy
remote sensing
biomass
spectral characteristics
ureen tide
