植物生态学报 ›› 2014, Vol. 38 ›› Issue (7): 710-719.DOI: 10.3724/SP.J.1258.2014.00066
收稿日期:
2013-12-31
接受日期:
2014-05-04
出版日期:
2014-12-31
发布日期:
2014-07-10
通讯作者:
周广胜
作者简介:
* E-mail: gszhou@ibcas.ac.cn基金资助:
ZHANG Feng1, ZHOU Guang-Sheng1,2,*()
Received:
2013-12-31
Accepted:
2014-05-04
Online:
2014-12-31
Published:
2014-07-10
Contact:
ZHOU Guang-Sheng
摘要:
冠层光合参数的准确定量遥感反演是生态系统遥感模型的核心与关键。基于2011年玉米(Zea mays)整个生长发育期的冠层光谱反射率、生态系统CO2通量、微气象因子以及玉米光合生理生态指标的观测数据, 开展了玉米农田生态系统冠层光合能力(Pmax, 最大光合速率)与光合效率(εN, 净CO2通量交换/吸收光合有效辐射(NEECO2/APAR); εG, 总初级生产力/吸收光合有效辐射(GPP/APAR); α, 表观量子效率)参数的多光谱遥感反演能力评估研究。结果表明, Pmax和α在整个生长季呈现单峰型变化趋势, 分别于7月底、8月初达到峰值, 而光合效率参数εN和εG在玉米营养生长早期数值较高, 随着玉米生长发育迅速降低, 而后呈现单峰型的变化趋势, 峰值出现时间基本与Pmax最大值发生时间一致。基于两波段任意组合的遥感植被指数NDVI (normalized difference vegetation index)、RVI (ratio vegetation index)、WDRVI (wide dynamic range vegetation index)、EVI2 (2-band enhanced vegetation index)和CI (chlorophyll index)与玉米冠层4个光合参数的统计分析表明, EVI2对冠层光合效率与光合能力参数的反演与表征效果最佳。研究表明, 多光谱遥感信息对玉米生态系统冠层光合参数的变异具有较强的敏感性, 可以用来监测玉米冠层光合作用的季节动态变化以及准确定量评估作物生产力和生态系统CO2交换能力。
张峰, 周广胜. 玉米农田冠层光合参数的多光谱遥感反演. 植物生态学报, 2014, 38(7): 710-719. DOI: 10.3724/SP.J.1258.2014.00066
ZHANG Feng, ZHOU Guang-Sheng. Estimating canopy photosynthetic parameters in maize field based on multi-spectral remote sensing. Chinese Journal of Plant Ecology, 2014, 38(7): 710-719. DOI: 10.3724/SP.J.1258.2014.00066
遥感植被指数 Remote sensing vegetation index | 计算式 Formulation of computation | 参考文献 Reference |
---|---|---|
归一化差异植被指数 Normalized difference vegetation index | (ρNIR - ρred)/(ρNIR + ρred) | Tucker, 1979 |
2波段增强植被指数 2-band enhanced vegetation index | 2.5((ρNIR - ρred)/(ρNIR + 2.4ρred + 1.0)) | Jiang et al., 2008 |
比值植被指数 Ratio vegetation index | ρNIR/ρred | Rouse et al., 1973 |
宽范围动态植被指数 Wide dynamic range vegetation index | (α × ρNIR - ρred)/(α × ρNIR + ρred) | Gitelson, 2004 |
叶绿素指数 Chlorophyll index | ρNIR/ρgreen - 1 or ρNIR/ρred edge - 1 | Gitelson et al., 2005 |
表1 本研究中采用的遥感植被指数
Table 1 Vegetation indices used in this study
遥感植被指数 Remote sensing vegetation index | 计算式 Formulation of computation | 参考文献 Reference |
---|---|---|
归一化差异植被指数 Normalized difference vegetation index | (ρNIR - ρred)/(ρNIR + ρred) | Tucker, 1979 |
2波段增强植被指数 2-band enhanced vegetation index | 2.5((ρNIR - ρred)/(ρNIR + 2.4ρred + 1.0)) | Jiang et al., 2008 |
比值植被指数 Ratio vegetation index | ρNIR/ρred | Rouse et al., 1973 |
宽范围动态植被指数 Wide dynamic range vegetation index | (α × ρNIR - ρred)/(α × ρNIR + ρred) | Gitelson, 2004 |
叶绿素指数 Chlorophyll index | ρNIR/ρgreen - 1 or ρNIR/ρred edge - 1 | Gitelson et al., 2005 |
图1 净CO2通量交换(net ecosystem exchange, NEECO2)、叶面积指数(LAI)和光合有效辐射(PAR)的季节动态变化。
Fig. 1 Seasonal variations in net ecosystem CO2 exchange (NEECO2), leaf area index (LAI), and incident photosynthetically active radiation (PAR) in a maize field measured by eddy covariance method in 2011.
图2 GPP-PAR关系的季节变化。GPP, 总初级生产力; PAR, 光合有效辐射。
Fig. 2 Seasonal change in the GPP-PAR relationship. GPP, gross primary productivity; PAR, photosynthetically active radiation.
图3 叶面积指数(LAI)和温度(T)(A)、最大光合速率(Pmax)和光量子效率(α)(B)及εN (NEECO2/APAR)和εG (GPP/APAR) (C)的动态变化。APAR, 吸收光合有效辐射; GPP, 总初级生产力; NEECO2, 净CO2通量交换。
Fig. 3 Seasonal dynamics of (A) leaf area index (LAI) and daily mean air temperature (T); (B) maximum photosynthetic capacity (Pmax) and quantum efficiency (α); and (C) radiation use efficiency εN (NEECO2/APAR) and εG (GPP/APAR). APAR, absorbed photosynthetically active radiation; GPP, gross primary productivity; NEECO2, net ecosystem CO2 exchange. DOY, day of the year.
图4 归一化差异植被指数(NDVI)和2波段增强植被指数(EVI2)在400-1300 nm波段范围内任意两个波段组合与光合效率εN线性相关关系决定系数R2的等值线图。A, NDVI-线性。B, EVI2-线性。
Fig. 4 A contour map of coefficient of determination (R2) in linear relationships of normalized difference vegetation index (NDVI) and 2-band enhanced vegetation index (EVI2) with εN with any combinations of two separate wavelengths at the range of 400-1300 nm. A, NDVI-linear. B, EVI2-linear.
图5 归一化差异植被指数(NDVI)和2波段增强植被指数(EVI2)在400-1300 nm波段范围内任意两个波段组合与表观量子效率(α)相关关系决定系数R2的等值线图。A, NDVI-线性。B, NDVI-指数。C, EVI2-线性。D, EVI2-指数。
Fig. 5 A contour map of coefficient of determination (R2) in linear and exponential relationships of normalized difference vegetation index (NDVI) and 2-band enhanced vegetation index (EVI2) with apparent quantum efficiency (α) with any combinations of two separate wavelengths at the range of 400-1300 nm. A, NDVI-liner. B, NDVI-exponential. C, EVI2-linear. D, EVI2-exponential.
图6 表观量子效率(α)与最佳组合遥感植被指数NDVI[1233, 1244], NDVI[1188, 1258], EVI2[766, 792]和EVI2[964, 1098]之间的相关关系。EVI2, 2波段增强植被指数; NDVI, 归一化差异植被指数。
Fig. 6 Relationship of apparent quantum efficiency (α) with remote sensing vegetation indices NDVI[1233, 1244], NDVI[1188, 1258], EVI2[766, 792], and EVI2[964, 1098]. EVI2, 2-band enhanced vegetation index; NDVI, normalized difference vegetation index.
图7 遥感植被指数EVI2在400-1300 nm波段范围内任意两个波段组合与Pmax相关关系决定系数R2的等值线图。A, EVI2-线性。B, EVI2-指数。EVI2, 2波段增强植被指数; Pmax, 最大光合速率。
Fig. 7 A contour map of coefficient of determination (R2) in linear and exponential relationships between the remote sensing vegetation index EVI2 and Pmax and EVI2 with any combinations of two separate wavelengths at the range of 400-1 300 nm. A, EVI2-linear. B, EVI2-exponential. EVI2, 2-band enhanced vegetation index; Pmax, maximum photosynthesis capacity.
图8 最大光合速率(Pmax)与最佳组合的遥感植被指数的相关关系。EVI2, 2波段增强植被指数。
Fig. 8 Relationships of maximum photosynthetic capacity (Pmax) with remote sensing vegetation indices EVI2[559, 721] and EVI2[401, 1148]. EVI2, 2-band enhanced vegetation index.
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