| 利用高光谱数据对作物群体叶绿素密度估算的研究 |
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| 引用本文： | 吴长山,项月琴,郑兰芬,童庆禧.利用高光谱数据对作物群体叶绿素密度估算的研究[J].遥感学报,2000,4(3):228-232. |
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| 作者姓名： | 吴长山 项月琴 郑兰芬 童庆禧 |
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| 作者单位： | 1. 中国科学院,遥感应用研究所,北京,100101
2. 中国科学院,地理研究所,北京,100101 |
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| 基金项目： | 国家“九五”科技攻关计划“新型遥感技术的应用开发”资助项目 |
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| 摘 要： | 叶绿素是农作物生长中重要的因素。叶绿素含量既表明作物生长的状况，又表征了作生的生产能力。而叶绿素密度（单位面积农作物的叶绿绿素含量）是估计农作物群体生产力的重要指标。对早播稻、晚播稻和玉米的多时相的群体光谱测量数据和相应的叶片叶绿素密度的测量数进行了相关分析，结果表明早播、晚播稻和玉米的群体光谱的反射率数据以及其导数光谱数据绿素密度具有委好多的相关性，并且可以对这几种农作物建立统一的线性回归关系。
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| 关 键 词： | 高光谱 导数光谱 叶绿素密度 作物 遥感 |
| 收稿时间： | 1999/4/15 0:00:00 |
| 修稿时间： | 1999-04-15 |
Estimating Chlorophyll Density of Crop Canopies by Using Hyperspectral Data |
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| WU Chang-shan,XIANG Yue-qin,ZHENG Lan-fen and TONG Qing-xi.Estimating Chlorophyll Density of Crop Canopies by Using Hyperspectral Data[J].Journal of Remote Sensing,2000,4(3):228-232. |
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| Authors: | WU Chang-shan XIANG Yue-qin ZHENG Lan-fen and TONG Qing-xi |
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| Institution: | Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Institute of Geography, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | The correlative relationship in the reflectance spectra, first derivative spectra of canopies and the chlorophyll content of early\|planted rice, late\|planted rice, and maize has been discussed. It shows that their correlative relationship is good, especially for the first derivative spectral data at the waveband 762 nm. Therefore, the same regression equation can be calculated for different crops. The linear regression equation has been built by using the first derivative spectral data of a part of samples at waveband 762 nm to estimate the chlorophyll content. Through the test of the other part of samples, it shows that the standard error is 0.272g/m\ 2, and the estimated accuracy is about 80%. |
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| Keywords: | hyperspectral reflectance chlorophyll content derivative spectra |
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