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| 基MODIS影像对NDVI和EVI的分类研究 | |
| 引用本文： | 张培松,武伟,刘洪斌,官会林.基MODIS影像对NDVI和EVI的分类研究[J].西南师范大学学报(自然科学版),2007,32(2):70-75. |
| 作者姓名： | 张培松 武伟 刘洪斌 官会林 |
| 作者单位： | 1. 西南大学,资源环境学院,重庆,400716 2. 西南大学,计算机与信息科学学院,重庆,400716 3. 云南师范大学能源与环境科学学院,昆明,650092 |
| 基金项目： | 重庆市教委科技资助项目（1-82） |
| 摘 要： | 从MODIS影像中划出一块无云区域作为研究对象,求出该研究区的NDVI和EVI,运用K-均值分类法分别对2种植被指数进行非监督分类．通过对2种植被指数分类结果进行比较得出：2种植被指数的分类结果在总体上是一致的,但是在局部区域,NDVI对于水体的分辨能力优于EVI,而EVI对植被则有更强的分辨能力．2种植被指数分类结果精度评价总精度为70．00％,Kappa系数为0．585． |
| 关 键 词： | 中分辨率成像光谱仪 归一化植被指数 增强型植被指数 K-均值 分类 |
| 文章编号： | 1000-5471（2007）02-0070-06 |
| 修稿时间： | 2006-09-07 |
Classification of NDVI and EVI Based on Modis Images |
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| ZHANG PEI-song,WU Wei,LIU Hong-bin,GUAN Hui-lin.Classification of NDVI and EVI Based on Modis Images[J].Journal of Southwest China Normal University(Natural Science),2007,32(2):70-75. | |
| Authors: | ZHANG PEI-song WU Wei LIU Hong-bin GUAN Hui-lin |
| Institution: | 1. School of Resources and Environment, Southwest University, Chongqing 400716 , China; 2. School of Computer and Information Science, Southwest University, Chongqing 400716, China ; 3. School of Energy and Environment Science, Yunnan Normol University, Kunming 650092, China |
| Abstract: | A cloudless region extracted from a MODIS image was used as the object of this study."K-mean unsupervised method" was used to classify the two vegetation indices,NDVI and EVI,of the studied area.A comparison of the vegetation indices thus obtained showed that the two indices were,on the whole,consistent with each other;however,NDVI gave a better resolution for water bodies and wet things while EVI had a greater capacity of identifying vegetations.They had a precision appraisal score of 70.00% and a Kappa coefficient of 0.585. |
| Keywords: | MODIS NDVI EVI K--mean classification |
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