山东农业科学2016，Vol.48Issue(5)：137-141,5.DOI:10.14083/j.issn.1001-4942.2016.05.035
基于植被指数－盐分指数特征空间的黄河三角洲盐渍化遥感监测研究
Remote Sensing Monitoring Model of Soil Salinization in the Yellow River Delta Zone based on Vegetation Index -Salt Index Feature Space
摘要
Abstract
Affected by geographical location,the soil salinization phenomenon in the Yellow River Delta region is quite severe.And it has affected the sustainable development of local agriculture and economy.Re-mote sensing provides a simple and efficient method for soil salinization monitoring.Based on the theory of fea-ture space,the two -dimensional feature space was built in this paper using normalized difference vegetation index and salt index to analyze the salinization phenomenon in the Yellow River Delta.Then the remote sens-ing monitoring model was established,and its accuracy was verified combined with measured salinity data. The results showed that this model could simulate the whole trend of salinization,but its accuracy still needed to be improved.It might be associated with the effects of mixed pixel.Further researches were required to im-prove the accuracy of this model.关键词
盐渍化/特征空间/植被指数/盐分指数/黄河三角洲Key words
Salinization/Feature space/Vegetation index/Salt index/The Yellow River Delta分类
农业科技引用本文复制引用
樊彦国,张维康,刘敬一..基于植被指数－盐分指数特征空间的黄河三角洲盐渍化遥感监测研究[J].山东农业科学,2016,48(5):137-141,5.基金项目
山东省科技攻关项目“盐渍化遥感监测及暗管改碱与节水集成技术及其应用” （）
