摘要
准确地估算植被覆盖度是生态学及全球植被覆盖变化研究的重要内容。应用遥感技术估测植被覆盖度成为近年来研究的热点之一,但影像混合像元的存在成为制约植被覆盖度提取精度的难题之一。以延庆区2014年的Landsat8OLI影像为数据源,结合二类调查及补充调查数据,采用像元二分模型法和线性光谱混合模型法对提取植被覆盖度,对比分析2种模型的适用性。结果表明,基于像元二分模型法的植被覆盖度提取精度达到85.31%,基于线性光谱混合模型的植被覆盖度提取精度达到88.76%,线性光谱混合模型的提取效果要好于像元二分模型法,最后生成了延庆区植被覆盖分布图,可为县域尺度应用Landsat8OLI影像估测植被覆盖度提供参考。
Accurate estimation of vegetation coverage is an important part for the study of ecology and global vegetation coverage change.The application of remote sensing technology to estimate vegetation coverage has become one of the hot spots in recent years.However,the presence of mixed pixels is one of the problems that restricts the accuracy of vegetation coverage.Taking the images of Landsat8 OLI of Yanqing County in 2014 as datum resources,combined with the data of the second class forestry inventory as well as supplementary inventory data,the vegetation coverages were extracted by using pixel dichotomy and linear spectral mixture model.The applicability of two kinds of models was compared.The results showed that dimidiate pixel model of vegetation coverage based on extraction accuracy reached 85.31%,linear spectral mixture model of vegetation coverage based on extraction accuracy was 88.76%,the extraction effect of linear spectral mixture model was better than the dimidiate pixel model.The distribution map of Yanqing vegetation coverage was finally generated to provide a reference for estimating vegetation coverage using Landsat8 OLI images at county scale.
作者
陈虹兵
黄贝贝
彭道黎
CHEN Hong-bing;HUANG Bei-bei;PENG Dao-li(Beijing Forestry University ,Beijing 100083 ,China;Sichuan Forestry Survey and Planning Institute, Chengdu, Sichuan 610036, Chin)
出处
《西北林学院学报》
CSCD
北大核心
2018年第3期203-207,265,共6页
Journal of Northwest Forestry University
基金
国家重点林业监测技术示范推广项目(2015-02)
关键词
植被覆盖度
混合像元分解
像元二分模型
线性光谱混合模型
fractional vegetation cover
mixed pixel unmixing
dimidiate pixel model
linear spectral mixture model
