Estimating the crop leaf area index using
hyperspectral remote sensing
LlU Ke1, 2, ZHOU Qing-bo1, 2, WU Wen-bin1, 2, 3, XlA Tian3, TANG Hua-jun1, 2
【期刊名称】农业科学学报（英文版） 【年(卷),期】2016(015)002 【总页数】17
【关键词】Keywords: hyperspectral，inversion，leaf area index，LAI，retrieval Abstract
The leaf area index（LAI）is an important vegetation parameter，which is used widely in many applications.Remote sensing techniques are known to be effective but inexpensive methods for estimating the LAI of crop canopies.During the last two decades，hyperspectral remote sensing has been employed increasingly for crop LAI estimation，which requires unique technical procedures compared with conventional multispectral data，such as denoising and dimension reduction.Thus，we provide a comprehensive and intensive overview of crop LAI estimation based on hyperspectral remote sensing techniques.First，we compare hyperspectral data and multispectral data by highlighting their potential and limitations in LAI estimation.Second，we categorize the approaches used for crop LAI estimation based on hyperspectral data
Estimating the crop leaf area index using hyperspectral remote sensing
