RED AND PHOTOGRAPHIC INFRARED LINEAR COMBINATIONS FOR MONITORING VEGETATION
RED AND PHOTOGRAPHIC INFRARED LINEAR COMBINATIONS FOR MONITORING VEGETATION
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DOI：
10.1016/0034-4257(79)90013-0
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发表时间：
1979-01-01
影响因子：
13.5
通讯作者：
TUCKER, CJ
中科院分区：
文献类型：
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作者：
TUCKER, CJ
利用现场采集的光谱仪数据来评估和量化红光和摄影红外辐射的各种线性组合与试验区生物量、叶片含水量和叶绿素含量之间的关系。所评估的辐射变量包括红光和摄影红外辐射以及红外/红光比值、红外/红光比值的平方根、红外 - 红光差值、植被指数和变换植被指数的线性组合。此外，为了比较，还评估了相应的绿光和红光线性组合。使用了6月、9月和10月采样期的三组数据。回归分析表明，红外和红光线性组合相较于相同的绿光和红光线性组合具有更高的实用性。在6月和9月采样期，红光和红外线性组合比绿光和红光线性组合的回归显著性分别高7%和14%。植被指数、变换植被指数和红外/红光比值的平方根最为显著，紧随其后的是红外/红光比值。这四种红外和红光线性组合中最高和最低的差异小于6%。这些线性组合的使用主要对绿叶面积或绿叶生物量敏感。因此，红光和摄影红外辐射的这些线性组合可用于监测植物冠层的光合有效生物量。
In situ collected spectrometer data were used to evaluate and quantify the relationships between various linear combinations of red and photographic IR radiances and experimental plot biomass, leaf water content and chlorophyll content. The radiance variables evaluated included the red and photographic IR radiance and the linear combinations of the IR/red ratio, the square root of the IR/red ratio, the IR-red difference, the vegetation index and the transformed vegetation index. In addition, the corresponding green and red linear combinations were evaluated for comparative purposes. Three data sets were used from June, Sep. and Oct. sampling periods. Regression analysis showed the increased utility of the IR and red linear combinations vis-a-vis the same green and red linear combinations. The red and IR linear combinations had 7% and 14% greater regression significance than the green and red linear combinations for the June and Sept. sampling periods, respectively. The vegetation index, transformed vegetation index and square root of the IR/red ratio were the most significant, followed closely by the IR/red ratio. Less than a 6% difference separated the highest and lowest of these 4 IR and red linear combinations. The use of these linear combinations was sensitive primarily to the green leaf area or green leaf biomass. As such, these linear combinations of the red and photographic IR radiances can be employed to monitor the photosynthetically active biomass of plant canopies.