干旱区生态环境知识资源中心(Arid): 基于高光谱混合像元分解的干旱地区稀疏植被覆盖度估测

Arid

	基于高光谱混合像元分解的干旱地区稀疏植被覆盖度估测
其他题名	Estimation of sparse vegetation coverage in arid region based on hyperspectral mixed pixel decomposition
	李晓松; 高志海; 李增元; 白黎娜; 王琫瑜
来源期刊	应用生态学报
ISSN	1001-9332
出版年	2010
卷号	21 期号:1 页码:152-158
中文摘要	以Hyperion高光谱影像为数据源,选取流沙、假戈壁(影像端元)及荒漠植被(实测光谱端元)3种端元,利用非受限及全受限的混合像元分解对甘肃省民勤绿洲-荒漠过渡带的稀疏植被覆盖度进行了估测.结果表明:全受限混合像元分解得到的荒漠植被分量准确地代表了地表真实稀疏植被覆盖情况,两者之间的偏差不超过5%、均方根误差RMSE为3.0681;而非受限的混合像元分解结果则明显小于地面实测植被覆盖度,两者之间虽具有一定相关性,但相关性不高(R~2=0.5855);与McGwire等的相关研究相比,全受限混合像元分解对稀疏植被覆盖度的估测具有更高的精度及可靠性,具有广阔的应用前景.
英文摘要	Based on Hyperion hyperspectral image data,the image-derived shifting sand,falseGobi spectra,and field-measured sparse vegetation spectra were taken as endmembers,and the sparse vegetation coverage(<40%)in Minqin oasis-desea transitional zone of Gansu Province was estimated by using fully constrained linear spectral mixture model(LSMM)and non-constrained LSMM,respectively.The results showed that the sparse vegetation fraction based on fully constrained LSMM described the actual sparse vegetation distribution.The differences between sparse vegetation fraction and field-measured vegetation coverage were less than 5% for all samples.and the RMSE was 3.0681.However,the sparse vegetation fraction based on non-constrained LSMM was lower than the field-measured vegetation coverage obviously,and the correlation between them was poor,with a low R~2 of 0.5855.Compared with McGwire’s corresponding research,the sparse vegetation coverage estimation in this study was more accurate and reliable,having expansive prospect for application in the future.
中文关键词	高光谱 ; 端元 ; 混合像元分解 ; 稀疏植被覆盖度
英文关键词	hyperspectral endmember mixed pixel decomposition sparse vegetation coverage.
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:3835674
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/225851
作者单位	李晓松, 中国林业科学研究院资源信息研究所, 北京 100091, 中国.; 高志海, 中国林业科学研究院资源信息研究所, 北京 100091, 中国.; 李增元, 中国林业科学研究院资源信息研究所, 北京 100091, 中国.; 白黎娜, 中国林业科学研究院资源信息研究所, 北京 100091, 中国.; 王琫瑜, 中国林业科学研究院资源信息研究所, 北京 100091, 中国.
推荐引用方式 GB/T 7714	李晓松,高志海,李增元,等. 基于高光谱混合像元分解的干旱地区稀疏植被覆盖度估测[J],2010,21(1):152-158.
APA	李晓松,高志海,李增元,白黎娜,&王琫瑜.(2010).基于高光谱混合像元分解的干旱地区稀疏植被覆盖度估测.应用生态学报,21(1),152-158.
MLA	李晓松,et al."基于高光谱混合像元分解的干旱地区稀疏植被覆盖度估测".应用生态学报 21.1(2010):152-158.