植物叶片是植物光合作用的重要器官, 直接体现了植物生长及营养状况。 植物叶片反射、 透射的内部理化信息模型间接反映了植物生长过程中物质、 能量交换信息, 是植物生长过程精细化管理的前提和基础。 植物叶片空间光学特性对基于遥感的作物营养状况诊断、 虚拟植物光线传输模拟、 计算机图形学场景渲染等领域具有重大意义。 双向反射分布函数(BRDF)主要研究物体表面反射光的空间分布特性和光谱特性, 通过对作物叶片光学特性的获取和测定, 准确、 高效地表征作物生长参数, 并进行定量分析, 在植被遥感、 农业等领域的研究与应用中有着极大的优势。 为了更好地把BRDF技术应用于农业遥感、 数字农业等领域中, 将针对BRDF测量装置、 模型发展和分类及其在植物遥感检测中的应用等环节展开叙述。 最后结合综述内容, 分析了BRDF技术在农业遥感领域的局限, 并对其应用前景进行了展望。

Plant leaves, as a vital organ of the plant photosynthesis, directly reflects the plant growth and nutrition status. Internal physicochemical property model, based on the reflection and transmission of plant leaf, indirectly reflects the information of matter and energy exchange in the process of plant growth information, which can be the premise and foundation of the plant growth process of fine management. The optical properties of plant leaves plays a great significant role in the field of crop nutrition diagnosis and plant morphological structure based on remote sensing, in the field of virtual plant light transmission simulation and computer graphics et al. BRDF (Bidirectional Reflectance Distribution Function) mainly focused on spatial distribution and spectral characteristics of the reflected light on the surface of the object characteristics. It can characterize crop growth parameters accurately and efficiently by acquiring optical properties information of plant leaves, which also has great advantages in the research and application of remote sensing in agriculture. In order to better apply BRDF technology in the agricultural remote sensing, this paper will focus on BRDF measurement and device, model development and classification and its application in the field of plants remote sensing. Eventually, although BRDF technology is still in early exploration stage and is facing many tough challenges, it has a promising future in terms of digital agriculture development.