遥感技术支持下的植被生产力与生物量研究进展

目前广泛应用于植被生产力与生物量估算的遥感模型主要有经验模型、物理模型、半经验模型和综合模型 ,它们的应用受到诸如大气、背景、地形、植被覆盖率与结构等因素的影响。遥感技术的迅速发展及其它技术的应用 ,包括热红外、微波和激光遥感仪器以及多角度、高光谱和高分辨率技术等 ,正逐步消除或降低影响因素 ,进一步提高植被生产力与生物量估算的范围和精度

Advances in the estimation of vegetation productivity and biomass with the aids of remote sensing

There are mainly four types of models for estimating vegetation productivity and biomass, including empirical, physical, semi empirical and integrated models. The application of these models is limited by factors such as atmosphere, background, geography, vegetation cover and structure. The rapid development of remote sensing technique, especially the use of thermal infrared,microwave, laser remote sensors and the techniques such as multi angle, hyperspectral and high resolution remote sensing, will be helpful to eliminate or reduce the effect of these factors.