摘要
单天观测数据中很难得到令人满意的植被指数产品,通常采用多天观测合成的方法得到更高质量的植被指数产品。从植被指数合成主要影响因子入手,将植被指数合成算法分为5类,分析误差移除具体方法,总结各类合成算法优缺点。归纳了目前常用的区域或全球尺度植被指数产品及其精度验证。在此基础上展望了植被指数合成算法的研究前景。
Vegetation Index（VI） is one of the main biophysical performances of vegetation, and a useful tool for global and regional detection. It has been used effectively in nuberous of applications,such as detecting change and derieving biophysical properties. However, the daily VI products are not satisfactory because of cloud and atmos- pheric contamination, so that a compositing, technique for multi-temporal is usally employed. In this paper, firstly, we investigated the contaminatal sources of VI compositing. Secondly, we classified VI compositing algorithms,in- cluding the advantages and disadvantages. And then we summarized the commonly used products of current conti- nental or gloabal VI products, and their products validation. Finally, we made a brief review on current compositing algorithm and proposed a prospect in VI compositng method.
出处
《遥感技术与应用》
CSCD
北大核心
2013年第6期969-977,共9页
Remote Sensing Technology and Application
基金
863重大项目"星机地综合定量遥感系统与应用示范(一期)"
第四课题"多尺度遥感数据按需快速处理与定量遥感产品生成关键技术"(2012AA12A304)
国家自然科学基金重点基金"光学与微波遥感的模型协同及联合反演研究"(40730525)
国家自然科学基金面上项目"非均质混合像元遥感反射波谱模型构建及叶面积指数反演方法研究"(41271366)
中国科学院西部行动计划项目"黑河流域生态-水文遥感产品生产算法研究与应用试验"(KZCX2-XB3-15)
