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| 玉米冠层FPAR的高光谱遥感估算研-基于PCA方法及近、短波红外波段 | |
| 引用本文： | 杨飞,张柏,刘志明,刘殿伟,王宗明,宋开山.玉米冠层FPAR的高光谱遥感估算研-基于PCA方法及近、短波红外波段[J].国土资源遥感,2008(4). |
| 作者姓名： | 杨飞 张柏 刘志明 刘殿伟 王宗明 宋开山 |
| 作者单位： | 1. 中国科学院东北地理与农业生态研究所,长春,130012;中国科学院研究生院,北京,100039 2. 中国科学院东北地理与农业生态研究所,长春,130012 3. 东北师范大学城市与环境学院,长春,130024 |
| 基金项目： | 吉林省科技发展计划 ， 中国科学院东北振兴科技行动计划重点项目 ， 中国科学院长春净月潭遥感实验站开放基金 |
| 摘 要： | 光合有效辐射分量(Fraction of Photosynthetically Active Radiation,FPAR)是进行生态系统功能和全球变化研究的重要参数,准确估算FPAR具有重要意义。通过对野外实测玉米高光谱数据和光合有效辐射数据的分析,探讨了主成分分析方法在高光谱信息提取及估算玉米冠层FPAR参数方面的可行性,在此基础上,结合植被指数验证FPAR估算效果,分析近红外及短波红外高光谱数据在FPAR估算方面的应用潜力。 |
| 关 键 词： | 光合有效辐射分量(FPAR) 高光谱 主成分分析(PCA) |
A STUDY OF CORN FPAR ESTIMATION FROM HYPERSPECTRAL DATA BASED ON PCA APPROACH AND NEAR-INFRARED SHORTWAVE BANDS |
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| YANG Fei,ZHANG Bai,LIU Zhi-ming,LIU Dian-wei,WANG Zong-ming,SONG Kai-shan.A STUDY OF CORN FPAR ESTIMATION FROM HYPERSPECTRAL DATA BASED ON PCA APPROACH AND NEAR-INFRARED SHORTWAVE BANDS[J].Remote Sensing for Land & Resources,2008(4). | |
| Authors: | YANG Fei ZHANG Bai LIU Zhi-ming LIU Dian-wei WANG Zong-ming SONG Kai-shan |
| Abstract: | Fraction of Photosynthetically Active Radiation(FPAR) is a key parameter in the study of such topics as ecological system function and global changes,and hence it is important to estimate FPAR accurately.Based on an analysis of hyperspectral and photosynthetical active radiation data of the corn,this paper studied the feasibility of Principal Component Analysis(PCA) for hyperspectral information extraction and corn canopy FPAR estimation,and analyzed the potential of near-shortwave infrared hyperspectral data for FPAR estimation.The results show that the PCA method can be used effectively to compress hyperpsectral information,and will give a better performance than vegetation indices for FPAR estimation.Near-infrared and shortwave band hyperspectral reflectance has a great potential for estimating FPAR and hence can help improve the precision of FPAR estimation. |
| Keywords: | NDWI WI |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |