高光谱遥感数据在农作物重金属胁迫调查中的应用
Application of Hyperspectral Remote-sensing Data in Investigation of Heavy Metal Stress for Crops
李力生 1彭玛丽1
作者信息
- 1. 四川金核矿业有限公司，四川成都610052
- 折叠
摘要
利用高光谱遥感数据对四川崇州地区研究作物进行光谱角匹配识别，结合光化学植被指数，有效划分了可评价区域。随后对采样点处遥感光谱信息进行了提取，运用线性回归及多元回归方法，建立了光学信息与土壤各重金属含量间的经验模型，并结合潜在生态危害指数法进行胁迫等级的划分，取得了良好的调查效果。
Abstract
The appraisable area was divided effectively by using hyperspectral remote-sensing data to differentiate the corner matching for re-search crops of Chongzhou area, Sichuan, combining with the photochemical vegetation index.By extracting the remote sensing spectral informa-tion from the sampling positions, a classical model for optical information and soil heavy metal contents was established with linear regression and multiple regression method.On the basis of the above work and the stress grade division of potential ecological risk assessment, this research has achieved prominent survey effect.
关键词
高光谱遥感回归/经验模型/重金属胁迫Key words
Hyperspectral remote sensing regression/Empirical model/Heavy metal stress引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据