CAJ | 학술논문

地面成像光谱仪可对作物个体及群体信息进行“图谱”同步解析，因此在农业定量化研究中具有巨大的应用潜力。利用可见-近红外成像光谱仪采集不同生育期玉米和大豆的冠层“图谱”数据，在逐步提取影像中光照土壤、阴影土壤、光照植被、阴影植被四种组分光谱的基础上，通过选取的敏感波段构建光谱植被指数和叶绿素密度进行波段自相关分析，探讨各个分量对作物叶绿素密度反演的影响。研究发现：当植被与土壤混合存在时，对叶绿素密度敏感的波段基本在红光与近红外波段；当植被光谱提纯后(剔除土壤光谱)，对叶绿素密度敏感的波段范围增大，表现在蓝、绿波段；当阴影叶片光谱剔除后，对叶绿素密度敏感的波段表现为可见光波段增加，近红外波段减少，红边波段决定系数最高。上述变化特征在不同作物中有相同的趋势，为探索地面成像光谱仪“图谱”协同反演作物生化参数进行了有意义的探索。
지면성상광보의가대작물개체급군체신식진행“도보”동보해석，인차재농업정양화연구중구유거대적응용잠력。이용가견-근홍외성상광보의채집불동생육기옥미화대두적관층“도보”수거，재축보제취영상중광조토양、음영토양、광조식피、음영식피사충조분광보적기출상，통과선취적민감파단구건광보식피지수화협록소밀도진행파단자상관분석，탐토각개분량대작물협록소밀도반연적영향。연구발현：당식피여토양혼합존재시，대협록소밀도민감적파단기본재홍광여근홍외파단；당식피광보제순후(척제토양광보)，대협록소밀도민감적파단범위증대，표현재람、록파단；당음영협편광보척제후，대협록소밀도민감적파단표현위가견광파단증가，근홍외파단감소，홍변파단결정계수최고。상술변화특정재불동작물중유상동적추세，위탐색지면성상광보의“도보”협동반연작물생화삼수진행료유의의적탐색。
Field imaging spectrometer can be used to analyze growth information of individual and group crop relying on its data advantage with combination image and spectra as one, so it has great application potential in agricultural quantitative research. In this research, hyperspectral images of corn and soybean in different growth period were collect using visible and near-infrared imaging spectrometer (VNIS), and spectra of four components as illuminated soil, shadow soil, illuminated vegetation and shadow vegetation were gradually extracted, then spectral vegetation index was constructed based on different sensitive bands. On the basis, through analyzing bands correlation between chlorophyll density and spectral vegetation index, those influences for different components on chlorophyll density inversion of crop were explored. Some results can be found that when spectral information came from mixed canopy including vegetation and soil, sensitive bands for chlorophyll density were red light and near-infrared light. When soil spectra was removed, sensitive bands enlarged and showed in blue and green light region, and when spectra of shadow leaves were removed, sensitive bands indicated that visible light bands increased and near-infrared light bands decreased, there was the highest determination coefficient in red light region. Those change characteristics had same trend in different crops, this paper has important meaning for exploring inversion of biochemistry parameters on crop using data with combination image and spectra as one.