河南地区VIIRS NDVI与EVI特性对比与分析

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英文篇名：Study on the Relationship Between VIIRS NDVI and VIIRS EVI in Henan 作者：李晓香 ; 张文 ; 孟令奎 英文作者：LI Xiaoxiang; 关键词：VIIRS ; NDVI ; VIIRS ; EVI ; 特征 ; 三次多项式 英文关键词：VIIRS NDVI;;VIIRS EVI;;characteristic;;cubic polynomial 中文刊名：地理空间信息 英文刊名：Geospatial Information 机构：武汉大学遥感信息工程学院; 出版日期：2019-01-21 07:03 出版单位：地理空间信息 年：2019 期：01 基金：国家重点研发计划资助项目(2017YFC0405800) 语种：中文; 页：10+28-31 页数：5 CN：42-1692/P ISSN：1672-4623 分类号：Q948

摘要

为了解VIIRS NDVI与EVI两种植被指数的关系,对研究区两种植被指数的空间特征、地表特征可分性以及相关性进行了初步研究。结果表明,VIIRS NDVI与EVI的空间特征和地表特征可分性既有较强一致性,又有差异性,植被覆盖度越高,两种指数空间特征差异越大。针对不同地物类别,VIIRS NDVI与EVI对地物可分性的差异不同。与一次、二次多项式以及对数模型相比,三次多项式模型更能反映VIIRS NDVI与EVI的相关关系,复相关系数平均可达0.807 4,且植被覆盖度越低,关系特征越强。
        In order to study the relationship between VIIRS NDVI and EVI, we analyzed the spatial characteristics, the distinction of land surface characteristic and the relationship between them. The results show that the spatial characteristics and the capability to distinguish between different land covers of the vegetation indexes not only have strong consistency, but also has difference. The higher the vegetation coverage has the greater the difference in spatial characteristics between two indexes. Aiming at different land covers, the capability to distinguish them is different. The cubic polynomial model can better response to the relationship between NDVI and EVI than the primary, quadratic polynomial and logarithmic model. The complex correlativity coefficient is 0.807 4. The lower the vegetation coverage is, the better the relationship fits.

引文

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