期刊论文

中文

中国农业资源与区划

1005-9121

2016

37

10

18-25

10.7621/cjarrp.1005-9121.20161003

国家自然科学基金项目“基于农户决策行为的农作物时空格局动态变化机理机制研究”（41271112）;国家自然科学基金项目“东北地区农作物时空格局变化过程模拟及特征分析研究”（41201089）； 四川省能力提升工程新兴学科专项基金“无人机快速获取高精度农业信息研究”（2013XXXK-D24）；

本校为第一机构

获取农作物叶面积指数( leaf area index, LAI)及其动态变化对于农作物长势监测和产量估测等应用具有重要的意义。基于冠层反射率模型(物理模型)的LAI遥感反演方法具有良好的普适性,对地面数据依赖较少,近年来广泛应用于农作物LAI高光谱反演研究。然而,当物理模型参数取值尽可能准确(代入参数实测值或依据先验知识取值)时,模拟光谱与实测光谱间仍然存在误差,研究称之为“光谱模拟误差”。该研究通过比对实测冬小麦冠层光谱与ACRM ( a two-layer canopy reflectance model)模型最优模拟光谱,展示了光谱模拟误差在各波段、不同样本点的分布规律。据此,根据对光谱模拟误差与高光谱数据降维的不同考...

It is vitally important to know leaf area index ( LAI) and its dynamics for crop growth monitoring and yield prediction. In recent years, the method of LAI estimation by inverting canopy reflectance ( CR) models has-been widely applied because of its universality and independence from ground truths of LAI. However, even if pa-rameterizations of CR models are tried to be accurate by substituting in-situ measurements or best estimations of variables, there are always bias between the simulated and remotely sensed spectra. In this paper such error is re-ferred to as "error of spectral simulation"...