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首页> 外文期刊>Acta botanica sinica >Investigation on Physiological Status of Regional Vegetation Using Pushbroom Hyperspectral Imager Data
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Investigation on Physiological Status of Regional Vegetation Using Pushbroom Hyperspectral Imager Data

机译:利用Pushbroom高光谱成像仪数据调查区域植被的生理状况

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摘要

To extract vegetation pigment concentration and physiological status has been studied in two test areas covered with swamp and flourish vegetation using pushbroom hyperspectral imager (PHI) data which flied in September of 2000 at Daxing' anling district of Heilongjiang Province, China. The ratio analysis of reflectance spectra (RARS) indices, which were put forward by Chappelle et al (1992), are chosen in this paper owing to their effect and simpleness against both comparison with various methods and techniques for exploration of pigment concentration and characteristics of PHI data. The correlation coefficients between RARS indices and pigment concentration of vegetation were up to 0.8. The new RARS indices modes are established in the two test areas using both PHI data and spectra of different vegetations measured in the field. The indices' parameter images of chlorophyll a (Chl a), chlorophyll b (Chl b) and carotenoids (Cars) of the test areas covered with swamp and flourish vegetation are acquired by the new RARS indices modes. Furthermore, the regional concentration of Chl a and Chl b are extracted and quantified using regression equations between RARS indices and pigment concentrations, which were built by Blackburn (1998). The results showed the physiological status and variety clearly, and are in good agreement with the distribution of vegetation in the field.
机译:为了提取植被中色素的浓度和生理状况,已在2000年9月在中国黑龙江省大兴安岭地区进行的推扫高光谱成像仪(PHI)数据研究了两个覆盖有沼泽和茂盛植被的测试区域。鉴于Chappelle等人(1992)提出的反射光谱(RARS)指数的比率分析的有效性和简单性,因此不宜与各种探索颜料浓度和特性的方法和技术进行比较,因此选择了比率光谱分析。 PHI数据。 RARS指标与植被色素浓度的相关系数最高为0.8。利用PHI数据和田间测量的不同植被的光谱,在两个测试区域中建立了新的RARS指数模式。通过新的RARS索引模式,获取了覆盖有沼泽和茂盛植被的测试区域的叶绿素a(Chl a),叶绿素b(Chl b)和类胡萝卜素(Cars)的指标参数图像。此外,使用Blackburn(1998)建立的RARS指数和色素浓度之间的回归方程,提取和定量Chl a和Chlb的区域浓度。结果清楚地表明了其生理状况和多样性,并与田间植被的分布相吻合。

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