期刊论文

Comparison between multispectral and hyperspectral remote sensing for LAI estimation

Zhou, Qingbo(zhouqingbo@caas.cn)

中文

农业工程学报

1002-6819

2016

32

3

155-162

10.11975/j.issn.1002-6819.2016.03.022

测绘地理信息公益性行业科研专项（201512028） 国家自然科学基金项目（41271112）

本校为其他机构

近年来,高光谱遥感数据广泛应用于农作物叶面积指数(LAI)反演。与常用的多光谱遥感数据相比,高光谱数据能否提高农作物LAI反演的精度和稳定性还存在争议。针对这一问题,该研究利用实测冬小麦冠层高光谱反射率数据,构造了不同光谱分辨率和波段组合的5种光谱数据。基于ACRM(a two-layer canopy reflectance model)模型、2套参数化方案及上述5种光谱数据,对冬小麦LAI进行反演,分析光谱分辨率、高光谱数据波段选择、模型参数不确定性3方面因素对LAI反演精度与稳定性的影响。研究结果表明:当波段选择适宜、模型参数不确定性较小且光谱数据分辨率较高时,LAI反演精度与稳定性更高,提高光谱分辨率对LAI反...

Hyperspectral remote sensing has been commonly employed for crop LAI estimation in recent years. However, the advantages of hyperspectral data compared with multispectral data in LAI estimation remain debate. To compare multispectral and hyperspectral remote sensing for LAI estimation, five datasets with different spectral resolution, spectral coverage, and band selection were tested for retrieving LAI by inverting the ACRM (A Two-Layer Canopy Reflectance Model) model in this study. The study area is located in Shenzhou, Hebei Province, China. ...