| 基于高光谱的草地可燃物含水率估测方法 |
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| 引用本文： | 包玉龙,张继权,赵云升,佟志军,刘兴朋.基于高光谱的草地可燃物含水率估测方法[J].红外,2011,32(7):38-42. |
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| 作者姓名： | 包玉龙 张继权 赵云升 佟志军 刘兴朋 |
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| 作者单位： | 东北师范大学城市与环境科学学院,吉林长春,130024 |
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| 基金项目： | 国家自然科学(40871236)；公益性行业(农业)科研专项经费(200903041)；国家自然科学基金(41071326)；“十一五”国家科技支撑计划项目(2007BAC29B04)；全球变化研究国家重大科学研究计划(2010CB951102)；973计划前期研究专项课题(2009CB426305)；国家自然科学(40971190)资助 |
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| 摘 要： | 用美国ASD公司的FieldSpee Pro FRTM光谱仪获得了防火期内含水率不同的草地可燃物的光谱数据,用烘干称重法获得了样品的含水率数据,并用包络线去除法处理样品的光谱反射率曲线.将1400 nm附近范围作为水分吸收特征波段,计算出了样品的光谱吸收指数、吸收深度指数、曲线长度和曲线面积指数等特征参数,然后对其与实...
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| 关 键 词： | 草地可燃物 含水率 高光谱 包络线去除 |
| 收稿时间： | 6/2/2011 8:34:09 AM |
| 修稿时间： | 6/7/2011 4:44:27 PM |
Estimation of Moisture Content of Grassland Fuel Based on Hyperspectra |
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| BAO Yu-long,ZHANG Ji-Quan,ZHAO Yun-Sheng,TONG Zhi-Jun and LIU Xing-Peng.Estimation of Moisture Content of Grassland Fuel Based on Hyperspectra[J].Infrared,2011,32(7):38-42. |
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| Authors: | BAO Yu-long ZHANG Ji-Quan ZHAO Yun-Sheng TONG Zhi-Jun and LIU Xing-Peng |
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| Institution: | College of Urban and Environmental Sciences, Northeast Normal University,College of Urban and Environmental Sciences, Northeast Normal University,College of Urban and Environmental Sciences, Northeast Normal University,College of Urban and Environmental Sciences, Northeast Normal University,College of Urban and Environmental Sciences, Northeast Normal University |
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| Abstract: | A FieldSpee Pro FRTM spectrograph produced by ASD company in USA is used to obtain the spectral
data of the grassland fuel with different moisture content during fire prevention period. A dry weight method is used
to get the moisture content of the samples. The continuum removal is used to process the spectral reflectance curves.
When using the area near 1400 nm as the wavelength range related to water absorption characteristics, the spectral
absorption index, spectral absorption depth index, curve length and curve area etc. of the samples are calculated.
Then, the correlation of the calculated results with the measured moisture content of the fuel is analyzed. It is found
that the correlation of the curve length index with the moisture content is highest, reaching 0.77. By making a
regression analysis of curve length index and moisture content, a mathematic model is established and tested. The
test result shows that the model has its predictive correlation coefficient r up to 0.80. This method can detect
the moisture content of grassland fuel quickly. It is a new way to predict prairie fire quickly and directly. |
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| Keywords: | grassland fuel moisture content hyperspectra continuum removal |
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