摘要
微波遥感具有全天候、全天时和穿透性强等特点,利用微波遥感数据提取的植被指数适用于植被的实时监测,文中试图找到一种适用于中国地区的被动微波遥感植被指数。首先利用2003-2011年中国地区每日的被动微波遥感数据(AMSR-E)计算了5种植被指数;然后选取落叶林、草地、农田三种典型植被区,分析5种植被指数随着季节变化的特征;最后在全国对5种植被指数与相应时间序列的归一化植被指数(NDVI)进行了相关性分析,并利用显著性检验对相关性分析结果进行了评价。结果表明:利用升轨微波遥感数据(36.5GHz)计算的微波极化差异指数(MPDI36.5)可以有效地监测中国地区的植被状况。
The vegetation indices extracted from passive microwave remote sensing have advantages in vegetation real - time research owing to its all - weather, all - day and high penetrability characteristics, thus, this research tried to find a passive microwave vegetation index applied to china. AMSR - E data from the year 2003 to 2011 were firstly acquired to calculate five vegetation indices for each day. Bases on the five vegetation indices, sea- sonal variation for three typical vegetation types, which cataloged as deciduous forest, grassland and farmland, were analyzed. Finally, correlation analysis was conducted between the five passive microwave vegetation indices and NDVI, respectively. Significance test was also used to evaluate the results of correlation analysis. Results in- dicate that the microwave polarization difference index （ MPDI36 5 ） calculated from the ascending remotely sensed data is feasible to the vegetation monitoring in China.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2014年第8期44-49,共6页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金"基于静止气象卫星数据的区域尺度土壤水分反演方法研究"(41271379)资助
