当前位置: 首页 > 文章 > 基于HJ-CCD数据的中高分辨率植被物候提取-以密云水库上游为例 东北林业大学学报 2014 (11) 88-94
Position: Home > Articles > 基于HJ-CCD数据的中高分辨率植被物候提取-以密云水库上游为例 Journal of Northeast Forestry University 2014 (11) 88-94

基于HJ-CCD数据的中高分辨率植被物候提取-以密云水库上游为例

作  者:
王金英;李晓松;范文义
关键词:
HJ-CCD;时间序列;Logistic;植被物候;尺度
摘  要:
利用中国2010年环境星数据,在对其进行预处理的基础上,结合数据重建技术,获得研究区域30 m分辨率的NDVI精细时间序列数据.采用逐像元分段Logistic拟合方法,重点检测该区域自然植被物候.对不同植被类型和不同尺度下的物候差异做了比较分析,并对各尺度遥感物候和气象物候的关系做了比较.结果表明:落叶针叶林和草地两种植被类型春季返青期较早开始,平均日期为4月23-24日,草地的生长期最长,平均为222天,各植被类型衰落期为9月中下旬;基于环境卫星数据,得到的30 m尺度遥感物候能很好的体现各类别植被边缘,与传统气象物候对接表现更好.
单  位:
Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth Applications,Chinese Academy of sciences%Northeast Forestry University
摘  要:
We obtained and rebuilt the Normalized Difference Vegetation Index(NDVI) from Chinese HJ-1A /1B CCD data in2010.The point was the natural plants phenology obtained from the fragment logistic model.The phenologies of different plant types were compared in different pixel sizes,and analysis was made on relationships between remote sensing phenology and ther-mal phenology.The Greenup day of deciduous coniferous forest and grasslands were April 23 and 24,earlier than other types.Grassland had the longest growing season with 222 days,averagely.The decadence of all types began in mid-September and last-September.The phenology based on HJ-CCD images can reflect the edges of various kinds of types clearly,and has a strong relationship with the classical thermal phenology.

相似文章

计量
文章访问数: 13
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊