不同干旱条件下夏玉米全生育期冠层吸收光合有效辐射比的高光谱遥感反演

doi:10.13287/j.1001-9332.201906.041

应用生态学报 ›› 2019, Vol. 30 ›› Issue (6): 2021-2029.doi: 10.13287/j.1001-9332.201906.041

不同干旱条件下夏玉米全生育期冠层吸收光合有效辐射比的高光谱遥感反演

刘二华¹, 周广胜^1,2,*, 周莉¹

¹中国气象科学研究院, 北京 100081;
²南京信息工程大学气象灾害预警协同创新中心, 南京 210044

收稿日期:2018-09-25 出版日期:2019-06-15 发布日期:2019-06-15
通讯作者: * E-mail: zhougs@cma.gov.cn
作者简介:刘二华,女,1994年生,硕士研究生.主要从事农业气象遥感研究. E-mail: leh4179@163.com责
基金资助:
国家自然科学基金重点项目(41330531,31661143028,41501047)和公益性行业(气象)科研专项(重大专项)(GYHY201506019,GYHY201506001-3)资助

Fraction of absorbed photosynthetically active radiation over summer maize canopy estimated by hyperspectral remote sensing under different drought conditions.

LIU Er-hua¹, ZHOU Guang-sheng^1,2,*, ZHOU Li¹

¹Chinese Academy of Meteorological Sciences, Beijing 100081, China;
²Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2018-09-25 Online:2019-06-15 Published:2019-06-15
Supported by:
This work was supported by the Key Projects of the National Natural Science Foundation of China (41330531, 31661143028, 41501047) and the Scientific Research Specialty (Major Specialty) in Public Welfare Industry (Meteorology) (GYHY201506019, GYHY201506001-3)

摘要/Abstract

摘要： 冠层吸收光合有效辐射比(fAPAR)是植被生产力遥感模型的重要参数.但关于不同干旱条件下作物全生育期的fAPAR遥感反演研究仍未见报道.本研究利用2015年夏玉米5个灌水处理模拟试验的高光谱反射率和fAPAR观测资料,分析了不同干旱条件下夏玉米关键生育期fAPAR和高光谱反射率变化特征,探讨了fAPAR与反射率、一阶导数光谱反射率和植被指数的关系.结果表明: 轻度水分胁迫和充分供水条件下,fAPAR较高;重度水分胁迫和重度持续干旱条件下,fAPAR较低.冠层可见光、近红外光和短波红外光区的反射率与fAPAR分别呈负相关、正相关和负相关关系.fAPAR与可见光和短波红外光区的383、680和1980 nm附近的反射率的相关性最强,相关系数均达-0.87.一阶导数光谱反射率与fAPAR相关性强且稳定的波段为580、720和1546 nm,相关系数分别为-0.91、0.89和0.88. 9个常用植被指数与fAPAR呈线性或对数关系,其中,增强型植被指数、复归一化植被指数、土壤调节植被指数和修正的土壤调节植被指数与fAPAR的关系模型最好,决定系数(R²)均在0.88以上,平均相对误差分别为16.6%、16.6%、16.7%和16.2%;基于一阶导数光谱反射率与fAPAR的对数关系在(720±5) nm波段处的模拟效果较好,R²达0.86;直接选择反射率数据估算fAPAR的效果较差,R²最高为0.81.研究结果可为fAPAR的准确反演及评估作物干旱状况提供支撑.

Abstract: Fraction of absorbed photosynthetically active radiation (fAPAR) is one of the important remote sensing model parameters of vegetation productivity. However, the crop canopy fAPAR estimation during growing season under different drought conditions has not been reported yet. In this study, the characteristics of summer maize canopy fAPAR and spectral reflectance during growing season under different drought stresses and the relationships of fAPAR with reflectance, the first derivative spectral reflectance and vegetation indices were examined based on the hyperspectral reflectance and fAPAR data from the summer maize drought manipulation experiment with five irrigation levels in 2015. Under mild water stress and sufficient water supply conditions, fAPAR was higher, with the maximum value of 0.7. Under severe water stress and severe persistent drought, fAPAR was lower, with the minimum value of 0.06. Reflectance of visible and shortwave bands increased and near infrared reflectance decreased with increasing drought. The fAPAR was negatively related with visible bands and shortwave bands, but positively correlated with near infrared. Visible and shortwave band reflectance had significant correlation with fAPAR, especially at 383, 680 and 1980 nm, with all the correlation coefficients being more than -0.87. The strong and stable relationship between the first derivative spectral reflectance and fAPAR appeared at 580, 720 and 1546 nm, with the correlation coefficients being -0.91, 0.89 and 0.88, respectively. There were linear or logarithm relationships between fAPAR with nine vegetation indices. Among the nine indices, the enhanced vegetation index (EVI), renormalized difference vegetation index (RDVI), soil adjusted vegetation index (SAVI), and modified soil adjusted vegetation index (MSAVI) performed well with the correlation coefficient being higher than 0.88, and the average relative error (RMAE) 16.6%, 16.6%, 16.7% and 16.2%, respectively. Based on the logarithmic relationship between first derivative spectral reflectance and fAPAR, the simulation effect was best at the band of (720±5) nm, with a correlation coefficient of 0.86. The correlation coefficient of the relationship between fAPAR and reflectance was less than 0.81. The results could provide fAPAR simulation for remote sensing model of vegetation productivity and drought warning.

刘二华, 周广胜, 周莉. 不同干旱条件下夏玉米全生育期冠层吸收光合有效辐射比的高光谱遥感反演[J]. 应用生态学报, 2019, 30(6): 2021-2029.

LIU Er-hua, ZHOU Guang-sheng, ZHOU Li. Fraction of absorbed photosynthetically active radiation over summer maize canopy estimated by hyperspectral remote sensing under different drought conditions.[J]. Chinese Journal of Applied Ecology, 2019, 30(6): 2021-2029.

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不同干旱条件下夏玉米全生育期冠层吸收光合有效辐射比的高光谱遥感反演

Fraction of absorbed photosynthetically active radiation over summer maize canopy estimated by hyperspectral remote sensing under different drought conditions.

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