摘要
针对传统植被生物量测量时空间分辨率较低等问题,研究了一种基于GPS卫星SNR信噪比植被生物量反演方法。将SNR数据进行多项式拟合得到直射分量并剔除,提取出SNR中的反射分量并分析振幅特征。根据植被与裸土情况下的振幅之比计算归一化振幅,与实测降雨量与有效反射区内的NDVI数据进行了对比,分析植被生物量变化趋势。结果表明:归一化振幅与实测数据具有较强的相关性,利用该方法监测植被生物量变化是可行的。该方法为高时空分辨率监测植被生物量提供了一种新的思路。
There are some limitations related to measuring vegetation biomass of conventional approaches such as lower spatial resolution. A method of retrieving vegetation biomass based on GPS satellite SNR was studied. The direct component was obtained by polynomial fitting and removed from SNR,by which the reflected component was extracted and the amplitude characteristics was analyzed. The normalized amplitude was calculated by the ratio of the amplitude of vegetation and bare soil,and compared with the rainfall and NDVI data in effective reflected area.The results indicated that the normalized amplitude was strongly correlated with NDVI. It is a promising approach to monitor vegetation biomass with high spatiotemporal resolution.
出处
《科学技术与工程》
北大核心
2018年第1期177-181,共5页
Science Technology and Engineering
基金
国家自然科学基金(51174206)资助
关键词
SNR
反射信号
植被生物量
归一化振幅
SNR
reflected signal
vegetation biomass
normalized amplitude
