摘要
根据植被指数估算植被覆盖度的原理,以混合像元线性分解模型两个重要参数为基础,建立基于归一化植被指数(NDVI)进行估算植被覆盖度模型是研究区域植被覆盖度的一种重要方法。本文以广州市花都区为实验区,利用ASTER高光谱影像对此方法进行验证性分析,实验结果表明:用该方法提取ASTER影像的植被覆盖度具有较好的可行性。
It＇s an important way to establish a vegetation coverage estimation model from NDVI（ Normalized Difference Vegetation Index）to study the condition of regional vegetation coverage. And the model is based on the sub -pixel model＇s two important parameters. This paper takes HuaDu district of Guangzhou City which lies in the subtropical region as an experimental area, and using ASTER image to check this model. The result showed that this method could satisfy the quantitative requirement of the model, and could be applied to extract vegetation coverage information in subtropical region.
出处
《测绘与空间地理信息》
2008年第5期63-65,69,共4页
Geomatics & Spatial Information Technology
基金
教育部科学技术研究重点项目(206107)
关键词
植被覆盖度
归一化植被指数
ASTER影像
广州市花都区
vegetation coverage
Normalized Difference Vegetation Index
ASTER image
Huadu District of Guangzhou City
