以植被覆盖率的遥感反演为研究主线,以玉米作物为例,在基于地面试验获得作物光谱、叶面积指数和多角度覆盖率的基础上,对目前普遍采用的两种基于植被指数的植被覆盖率估算模型进行了精度比较,同时对植被覆盖率反演的影响因子(叶面积指数、植被空间分布和观测角度)进行了分析。由此得到:估算植被覆盖率的最优植被指数为归一化植被指数;叶面积指数对植被指数与植被覆盖率间关系的影响随植被的生长不断增大;植被空间分布对垂直覆盖率的估算影响很小。对于多角度覆盖率有这样的规律,即在4种空间分布下,以0°观测天顶角(VZA)为中心,在相反方位角上随VZA的增加,覆盖率值基本呈对称分布;在玉米刚出苗时,覆盖率随VZA的增加而增加,当VZA=0°时达到最小值,而随着玉米的进一步生长,4种分布条件下覆盖率随VZA的增加反而降低,在VZA=0°时达到最大值。
Based on experimental data of maize canopy spectrum, leaf area index (LAI) and multi -angle vegetation fractional cover ( VFC), this paper deals with the estimation of VFC by remote sensing and its affecting factors. Two widely used models based on vegetation index for estimating VFC were compared and three factors affecting the estimation, namely, LAI, vegetation spatial distribution and observing zenith angle, were analyzed. Some conclusions have been reached: the Normalized Difference Vegetation Index (NDVI) is the best for the VFC estimation using both models ; the effect of LAI on the relationship between vegetation index and VFC increases with the growth of the vegetation; vegetation spatial distribution has little effect on the vertical VFC estimation; for the four types of vegetation distribution, VFC presents a symmetry spatial distribution toward view zenith angle (VZA) ; in the burgeon phase of the corn, VFC increases with the increase of VZA and has the minimum value at VZA = 0°, while with the growth of the corn, VFC decreases with the increase of VZA and has the maximum value at VZA =0°.