面向内陆水环境监测的GF-1卫星WFV数据特征评价  

Evaluation of GF-1 WFV Characteristics in Monitoring Inland Water Environment

作　　者：梁文秀[1,2] 李俊生[2] 周德民[1] 申茜[2] 张方方[2] 

机构地区：[1]首都师范大学资源环境与旅游学院,北京100048 [2]中国科学院遥感与数字地琅研究所数字地球重点实验室,北京100094

出　　处：《遥感技术与应用》2015年第4期810-818,共9页Remote Sensing Technology and Application

基　　金：高分重大科技专项“环境保护遥感动态监测信息服务系统”(05-Y30B02-9001-13/15-5);国家863计划项目(2013AA12A302)

摘　　要：各种卫星遥感数据在内陆水环境监测中得到日益广泛的应用并各具优势和不足。2013年4月发射的高分一号(GF-1)卫星搭载的宽视场相机(WFV)为水环境监测提供了新的数据源。通过与Landsat8OLI和HJ-1CCD对比,从辐射、光谱和空间3个方面客观评价GF-1 WFV的数据特征,并分析其在内陆水环境监测应用中的优缺点。结果表明:WFV在内陆水体区域的灰度级数和信噪比高于CCD但低于OLI 10bit的量化等级足以满足水质参数反演的精度要求,在水体监测应用中WFV现有辐射定标系数需修正;WFV的波段数量和宽度与CCD基本一致,比OLI的少且宽,不能很好地捕捉内陆水体的光谱特征;WFV16m的空间分辨率和800km的幅宽,明显优于CCD和OLI。总之,WFV在大范围中小型内陆水体环境动态监测方面具有良好的应用前景。Remote sensing technology has been widely applied in monitoring inland water environment.Satellite remote sensing data commonly used in monitoring water environment which has both advantages and disadvantages.The GF-1satellite was launched in April,2013,carrying a Wide Field of View Camera（WFV）,which provides a new data source for monitoring water environment.By comparing with Landsat8 OLI and HJ-1CCD data,the radiant,spectral and spatial characteristics of GF-1WFV data were evaluated,and the advantages and disadvantages of applying WFV data in monitoring inland water environment were analyzed.The results show that：1GF-1WFV is superior to HJ-1CCD in radiometric resolution and SNR,and the WFV data,which is quantified in 10 bits that can meet the accuracy requirement of monitoring water environment,the current calibration coefficient of WFV should be corrected when it is used in monitoring water;2GF-1 WFV is similar to HJ-1CCD but inferior to Landsat8 OLI in spectral resolution,and it can＇t well identify subtle spectral features of inland waters;3The spatial resolution and swath of WFV are obviously superior to that of HJ-1CCD and Landsat8 OLI.In short,GF-1 WFV has much potential in dynamically monitoring large zone middle-to-small scale inland water bodies.

关 键 词：高分一号卫星 宽视场相机 内陆水环境监测 特征评价 应用潜力分析 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置] TP79[自动化与计算机技术—控制科学与工程]