一种基于Sentinel-2的水体指数模型研究

TV213%P237; 针对进行水体提取时传统水体指数容易将阴影、建筑物和冰雪等非水体识别为水体的问题,基于Sentinel-2数据通过分析不同地物光谱特征,选取蓝光波段(490 nm)、绿光波段(560 nm)、红光波段(665 nm)、植被红边波段(783 nm)与近红外波段(842 nm)提出了一种新型多波段组合水体指数模型(NMCWI).为验证NMCWI的水体提取性能,对比了常用的几种水体提取算法,包括改进的归一化差异水体指数MNDWI、修订型归一化水体指数(RNDWI)、归一化多波段水体指数(NDMBWI)、植被红边水体指数(RWI)与三角形水体指数(TWI),选取了6个试验区进行水...

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Published in中国农村水利水电 no. 2; pp. 60 - 65
Main Authors 李升海, 张俊, 李屹旭, 唐海林
Format Journal Article
LanguageChinese
Published 贵州大学矿业学院,贵州 贵阳 550025%贵州大学农学院,贵州 贵阳 550025 15.02.2025
Subjects
水体提取
water extraction
water index
spectral characteristics
multi-band combination
多波段组合
水体指数
光谱特征
Online AccessGet full text
ISSN1007-2284
DOI10.12396/znsd.240983

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Abstract TV213%P237; 针对进行水体提取时传统水体指数容易将阴影、建筑物和冰雪等非水体识别为水体的问题,基于Sentinel-2数据通过分析不同地物光谱特征,选取蓝光波段(490 nm)、绿光波段(560 nm)、红光波段(665 nm)、植被红边波段(783 nm)与近红外波段(842 nm)提出了一种新型多波段组合水体指数模型(NMCWI).为验证NMCWI的水体提取性能,对比了常用的几种水体提取算法,包括改进的归一化差异水体指数MNDWI、修订型归一化水体指数(RNDWI)、归一化多波段水体指数(NDMBWI)、植被红边水体指数(RWI)与三角形水体指数(TWI),选取了6个试验区进行水体提取实验.结果表明:各个试验区NMCWI的总体精度与Kappa系数均高于95%,相较于其他水体指数提取精度更高,其可以减小绝大部分阴影、建筑物和冰雪等非水体对水体提取的干扰,同时NMCWI适用于绝大多数地区,能够有效提取水体.
AbstractList TV213%P237; 针对进行水体提取时传统水体指数容易将阴影、建筑物和冰雪等非水体识别为水体的问题,基于Sentinel-2数据通过分析不同地物光谱特征,选取蓝光波段(490 nm)、绿光波段(560 nm)、红光波段(665 nm)、植被红边波段(783 nm)与近红外波段(842 nm)提出了一种新型多波段组合水体指数模型(NMCWI).为验证NMCWI的水体提取性能,对比了常用的几种水体提取算法,包括改进的归一化差异水体指数MNDWI、修订型归一化水体指数(RNDWI)、归一化多波段水体指数(NDMBWI)、植被红边水体指数(RWI)与三角形水体指数(TWI),选取了6个试验区进行水体提取实验.结果表明:各个试验区NMCWI的总体精度与Kappa系数均高于95%,相较于其他水体指数提取精度更高,其可以减小绝大部分阴影、建筑物和冰雪等非水体对水体提取的干扰,同时NMCWI适用于绝大多数地区,能够有效提取水体.
Abstract_FL In order to solve the problem that the traditional water index easily identifies non-water bodies such as shadows,buildings and ice and snow as water bodies when extracting water bodies,a new multi-band combined water index model(NMCWI)of blue light band(490 nm),green light band(560 nm),red light band(665 nm),vegetation red edge band(783 nm)and near infrared band(842 nm)is proposed by analyzing different spectral characteristics of Sentinel-2 data.In order to verify the water extraction performance of NMCWI,this paper compared several commonly used water extraction algorithms,including the improved normalized difference water index MNDWI,the revised normalized water index(RNDWI),the normalized multiband water index(NDMBWI),the vegetation red edge water index(RWI)and the triangle water index(TWI),and selected six experimental areas for water extraction experiment.The results show that the overall accuracy and Kappa coefficient of NMCWI in each test area are higher than 95%,which is higher in index extraction accuracy compared with other water bodies,which can reduce the interference of most non-water bodies,such as shadows,buildings and ice.Meanwhile,NMCWI is applicable to most areas and can effectively extract water bodies.
Author 李升海
张俊
唐海林
李屹旭
AuthorAffiliation 贵州大学矿业学院,贵州 贵阳 550025%贵州大学农学院,贵州 贵阳 550025
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Author_FL LI Sheng-hai
TANG Hai-lin
ZHANG Jun
LI Yi-xu
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DocumentTitle_FL A Study of a Water Body Index Model Based on Sentinel-2
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Keywords 水体提取
water extraction
water index
spectral characteristics
multi-band combination
多波段组合
水体指数
光谱特征
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PublicationTitle 中国农村水利水电
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