南方典型植被遥感丰度信息提取

doi:10.13474/j.cnki.11-2246.2019.0176

测绘通报 ›› 2019, Vol. 0 ›› Issue (6): 16-18,28.doi: 10.13474/j.cnki.11-2246.2019.0176

南方典型植被遥感丰度信息提取

郭云开^1,2, 刘海洋^1,2, 蒋明^1,2, 朱佳明^1,2

1. 长沙理工大学, 湖南长沙 410076;
2. 长沙理工大学测绘遥感应用技术研究所, 湖南长沙 410076

收稿日期:2018-12-20 修回日期:2019-02-02 出版日期:2019-06-25 发布日期:2019-07-01
作者简介:郭云开(1958-),男,博士,教授,主要研究方向为高等级路域环境遥感与土壤环境遥感。E-mail:guoyunkai226@163.com
基金资助:
国家自然科学基金（41671498）

Extraction of remote sensing abundance information of typical vegetation in southern China

GUO Yunkai^1,2, LIU Haiyang^1,2, JIANG Ming^1,2, ZHU Jiaming^1,2

1. Changsha University of Science & Technology, Changsha 410076, China;
2. Institute of Surveying and Mapping Applied Technology, Changsha University of Science & Technology, Changsha 410076, China

Received:2018-12-20 Revised:2019-02-02 Online:2019-06-25 Published:2019-07-01

摘要/Abstract

摘要：

针对遥感影像在南方丘陵地区典型植被丰度信息提取中存在的大量混合像元问题，为进一步提高线性解混精度，通过计算像元EVI值，构建了Landsat 8时间序列影像南方典型植被（端元）和混合像元的EVI时间序列曲线，分析了不同生育期内各种地物类型的植被指数变化曲线，发现不同地物在植被指数时间序列中具有各自独立的波动规律。选取多个端元及其EVI时间序列曲线，利用光谱匹配方法对匹配EVI时间序列曲线和多个端元进行了匹配，达到利用不同端元组合进行光谱解混的目的。试验结果表明，与传统方法相比，阔叶林解混精度有明显提高，针叶林解混精度也有所提高。该研究成果可以为南方丘陵地区植被环境的研究提供有力支撑。

关键词: 南方丘陵, 典型植被, 阔针混交林, 混合像元分解, EVI时间序列

Abstract:

Aiming at the problem of a large number of mixed pixels in the extraction of typical vegetation abundance in the southern hilly region of remote sensing images, in order to further improve the precision of linear unmixing, the EVI time series curves of typical vegetation (endmember) and mixed pixels in the south of Landsat 8 time series images are constructed by calculating the EVI value of pixels. The vegetation index change curves of various feature types in different growth periods are analyzed, and it is found that different features have their own independent fluctuation rules in the vegetation index time series.By selecting multiple endmembers and their EVI time series curves, the spectral matching method is used to match the EVI time series curve and multiple endmembers, and the purpose of spectral unmixing using different endmember combinations is achieved. The test results show that compared with the traditional method, the precision of broad-leaf forest unmixing is obviously improved, and the precision of coniferous forest unmixing is also improved. The research results can provide strong support for the study of vegetation environment in the southern hilly region.

Key words: southern hills, typical vegetation, broad leaf-conifer mixed forest, mixed pixel unmixing, EVI time series

中图分类号:

P237

郭云开, 刘海洋, 蒋明, 朱佳明. 南方典型植被遥感丰度信息提取[J]. 测绘通报, 2019, 0(6): 16-18,28.

GUO Yunkai, LIU Haiyang, JIANG Ming, ZHU Jiaming. Extraction of remote sensing abundance information of typical vegetation in southern China[J]. 测绘通报, 2019, 0(6): 16-18,28.

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南方典型植被遥感丰度信息提取

Extraction of remote sensing abundance information of typical vegetation in southern China

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