作物学报 ›› 2023, Vol. 49 ›› Issue (2): 485-496.doi: 10.3724/SP.J.1006.2023.21005
王雪(), 王文辉, 李栋, 姚霞, 朱艳, 曹卫星, 程涛()
WANG Xue(), WANG Wen-Hui, LI Dong, YAO Xia, ZHU Yan, CAO Wei-Xing, CHENG Tao()
摘要:
二向反射率因子(bidirectional reflectance factor, BRF)和方向半球反射率因子(directional-hemispherical reflectance factor, DHRF)是反射光谱的两种形式, 但在生化参数监测过程中, 多数研究忽略了BRF和DHRF光谱的差异及其对叶片叶绿素含量(leaf chlorophyll content, LCC)反演的影响。本研究以不同品种、密度及氮素处理的小麦田间小区试验为基础, 在叶片尺度获取了BRF和DHRF光谱, 并计算相应的植被指数和小波系数, 建立了基于植被指数和小波系数的LCC监测模型, 定量分析BRF和DHRF光谱、植被指数和小波系数的差异及其对LCC反演的影响。结果表明, 1) BRF和DHRF随LCC变化趋势一致, 但两种光谱存在显著差异, 且BRF光谱值高于DHRF光谱值; 2) 在一定程度上, 应用植被指数和小波系数均可消除BRF和DHRF光谱差异的影响, 其中归一化红边植被指数(normalized differential red edge vegetation index, NDRE)和红边叶绿素指数(red edge chlorophyll index, CIred-edge)可以消除BRF和DHRF光谱差异的影响(R2=0.930), 但小波系数的性能要优于植被指数(R2=0.995); 3) 基于DHRF光谱的植被指数和小波系数对LCC的估测能力优于BRF光谱, 所有植被指数中NDRE反演效果最好(DHRF: R2=0.957; BRF: R2=0.938; All: R2=0.892), 第4尺度765 nm处的小波系数WF (4, 675)反演LCC的效果优于NDRE (DHRF: R2=0.985; BRF: R2=0.971; All: R2=0.973), 且WF (4, 675)消除BRF和DHRF光谱差异对LCC反演的影响能力强于NDRE (WF(4, 675): R2=0.973; NDRE: R2=0.892)。综上所述, BRF和DHRF光谱存在差异, 且这种差异不能直接忽略。研究明确了BRF和DHRF光谱的差异, 为构建基于BRF和DHRF光谱的统一模型及提升冠层尺度LCC精确反演提供理论基础。
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