文献类型：期刊文献

英文题名：Potential of high resolution RapidEye data for sparse vegetation fraction mapping in arid regions

作者：Li, Xiaosong[1] Gao, Zhihai[2] Bai, Lina[2] Huang, Yongxi[1]

第一作者：Li, Xiaosong

通信作者：Li, X.

机构：[1] Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; [2] Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 10096, China

年份：2012

起止页码：420-423

外文期刊名：International Geoscience and Remote Sensing Symposium (IGARSS)

收录：EI(收录号：20130615991018)

语种：英文

外文关键词：Vegetation mapping - Remote sensing

摘要：RapidEye with its short revisit period and high spatial resolution provides a potential data source for monitoring vegetation fraction in arid regions. In this paper, we try to estimate the sparse vegetation fraction by using VI and MESMA (multiple end-member spectral mixture analysis methods, based on RapidEye data, field-measured spectral signatures and vegetation fraction data. The result shows that: 1) Compared with most commonly used NDVI, red-edge vegetation index is better for estimating the green vegetation fraction in arid regions; 2) MESMA performs much better than vegetation indices, based on which green and senescent vegetation fraction were acquired respectively, subsequently, the total vegetation fraction (green+senescent) has high consistency with field measured total vegetation abundance. In conclusion, Rapideye data with MESMA method provide a good choice for estimating sparse vegetation fraction in arid regions. ? 2012 IEEE.