红外与毫米波学报, 2015, 34 (2): 203, 网络出版: 2015-05-20
富营养化水体颗粒有机碳浓度的遥感估算及动态变化特征
Remote estimation and temporal-spatial variability of particulate organic carbon concentrations in eutrophic inland water
摘要
基于2011年5次太湖水体现场测量数据, 分析富营养化水体颗粒有机碳(POC)对遥感反射比的影响, 构建了POC含量的遥感定量估算模型, 并结合MERIS遥感影像资料, 揭示了太湖水体POC浓度的时空变化特征.结果表明, 太湖水体中的POC对560~709nm波段范围内的遥感反射比影响显著; 基于海洋水环境特征构建的POC浓度遥感估算模型不适于太湖水体; 通过分析富营养化水体的光学特性以及POC对遥感反射比的影响, 发现MERIS传感器红(620nm)、近红外(709nm)波段遥感反射比的比值与POC浓度具有较好的相关关系(R2=0.75, n=132, RMSE=33.27%, P<0.05), 适于太湖水体POC浓度的遥感估算.
Abstract
Based on five filed cruises in 2011 from Taihu Lake, the effect of particulate organic carbon (POC) assembles on remote sensing reflectance of water was performed to develop a new POC estimation algorithm for eutrophic inland waters. The optical model was used with monthly MERIS data to assess the temporal and spatial variability of surface POC reservoirs in Taihu Lake. The results demonstrated that the particulate organisms highly controlled the remote sensing reflectance of water in the range of 560~709 nm in this lake. The approaches from ocean color did not provide good estimates of POC concentrations in Taihu Lake, a more optically complex water dominated by inorganic detritus. By investigating the optical properties of the eutrophic water, we found that POC was distinctly correlated to the remote sensing reflectance ratio (Rrs(620)/Rrs(709)) with high R2=0.75 and low RMSE=33.27%, the correlation of which provided a good estimate of POC concentrations in Taihu Lake.
姜广甲, 苏文, 马荣华, 段洪涛, 蔡伟叙, 黄楚光, 阳杰, 余威. 富营养化水体颗粒有机碳浓度的遥感估算及动态变化特征[J]. 红外与毫米波学报, 2015, 34(2): 203. JIANG Guang-Jia, SU Wen, MA Rong-Hua, DUAN Hong-Tao, CAI Wei-Xu, HUANG Chu-Guang, YANG Jie, YU Wei. Remote estimation and temporal-spatial variability of particulate organic carbon concentrations in eutrophic inland water[J]. Journal of Infrared and Millimeter Waves, 2015, 34(2): 203.