摘要
以杭州湾及其邻近海域为研究区,利用现场实测光谱模拟了近海高光谱成像仪(hyperspectral imager for the coastal ocean,HICO)波段,并在光谱特征分析的基础上确定特征波段,通过比较单波段、波段比值和反射峰面积等算法,建立了该海域悬浮物的遥感反演模型,并采用均方根误差和相对误差进行精度评价。研究结果表明,利用724. 84 nm与461. 36 nm波段光谱反射率比值建立的模型精度较高;模型的决定系数为0. 925 2,反演得到的悬浮物浓度与实测悬浮物浓度之间的均方根误差为14. 09 mg/L,平均相对误差为5. 2%。本研究对利用HICO模拟数据反演近海岸水体悬浮物具有一定的参考意义。
In this study,field data such as the concentration of total suspended matter(TSM)in Hangzhou Bay and its adjacent areas in Hangzhou's coastal waters were observed,meanwhile,hyperspectral remote snesing data were measured with SVC GER1500spectrometer during four cruises carried out on20th,22nd,23rd and24th July2010.The coastal water-leaving refectance of HICO was simulated from in situ hyperspectral remote sensing spectra.The normalized peak area of remote sensing reflectance in the near-infrared region was applied to retrieving TSM after the spectra of simulated HICO were analyzed,as well as the application of single band model and band ratio model.The result indicated that the band ratio algorithm of Rrs(124.S4)/Rrs(46l.36)of HICO could be used to retrieve TSM in Hangzhou Bay.This study is helpful to retrieving TSM in coastal waters using HICO.
作者
禹定峰
周燕
马万栋
盖志刚
刘恩晓
YU Dingfeng;ZHOU Yan;MA Wandong;GAI Zhigang;LIU Enxiao(Institute of Oceanographic Instrumentation,Qilu University of Technology (Shandong Academy of Sciences),Qingdao 266001, China;National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266001, China;Key Laboratory of Ocean Optics, Shandong Academy of Sciences,Qingdao 266001, China;Satellite Environment Center, Ministey of Ecology and Environment, Beijing 100094, China)
出处
《国土资源遥感》
CSCD
北大核心
2018年第4期171-175,共5页
Remote Sensing for Land & Resources
基金
国家海洋公益性项目“海洋高光谱仪和机载激光测量系统产品化关键技术研究及应用示范”(编号:201505031)
山东省重点研发计划项目“国家海洋监测设备工程技术研究中心”(编号:2016GGH4501)
山东省自然科学基金项目“基于压缩感知的GNSS接收机捕获技术研究”(编号:ZR2015YL020)
山东省科学院青年基金项目“便携式水质高光谱仪关键技术研究”(编号:2015QN028)
青岛创业创新领军人才计划项目“海洋激光光电观测系统产业化关键技术研究”(编号:13-CX-23)共同资助。
关键词
HICO
悬浮物
遥感
杭州湾
HICO
total suspended matter
remote sensing
Hangzhou Bay