利用ICESat-2 ATLAS&JL-1反演输电线走廊附近森林冠层高度

针对ICESat-2 ATL08产品含有较多噪声光子和树高粗差的问题，设计了利用光子数量、光束能量和地表覆盖等特性进行光子滤波和粗差剔除的方法；研究了从高分辨率多光谱数据各波段反射参数和提取的NDVI、RVI、SAVI、MSAVI、PVI植被指数与激光测高数据之间的相关关系，对比分析了多元回归和随机森林模型反演的有效性和精度。结果表明，随机森林模型可以获得较高的树高反演精度，以浙江省杭州市临安区输电走廊进行的反演实验获得了RMSE=2.84 m的结果，结合电力数据制作的树高隐患图可以为输电设施安全隐患排查提供辅助决策。

Review of Optofluidic Laser Based Biochemical Sensing

Optofluidic laser has shown great potential in biochemical sensing. Here in this review, we systematically introduced the sensing mechanism and research progress of optofluidic laser based biochemical sensors. The gain medium regulated optofluidic laser sensing mainly depends on the quantity and state of gain molecules. When the biochemical reaction or molecules change the characteristics of microcavity, the resonance condition changes accordingly, and the change can be reflected and read out in the modes, wavelength and emission direction of lasing light. Furthermore, the biochemical molecules can introduce absorption loss and scattering loss in the laser cavity, causing measurable deterioration in laser intensity. Thanks to the amplification of lasing process and optical microcavity, and the narrow linewidth of laser, the laser output characteristics are ultrasensitive to the subtle changes of biochemical process to achieve high sensitivity and high-throughput biochemical sensing.