基于Sentinel-2数据的草地植物功能多样性遥感反演及其与生产力的关系
赵晏平1, 王忠武1, 温都日根3, 赵玉金2,*(
), 白永飞2,*()
), 白永飞2,*()
Remotely sensed monitoring method of grassland plant functional diversity and its relationship with productivity based on Sentinel-2 satellite data
ZHAO Yan-Ping1, WANG Zhong-Wu1, WENDU Rigen3, ZHAO Yu-Jin2,*(), BAI Yong-Fei2,*()
), BAI Yong-Fei2,*()
图6. 地上生物量反演精度验证。实线和虚线分别表示线性回归模型拟合线和1:1线。所有回归分析均具有统计学意义(p < 0.001)。RMSE为均方根误差。
Fig. 6. Validation of the remotely-sensed aboveground biomass based on field-measured data. Solid and dashed lines depict the linear regression model and the 1:1 line, respectively. All regression analyses were statistically significant (p < 0.001). RMSE is root mean square error.
