【作者】 易秋香；

【导师】 钱翌； 王秀珍；

【作者基本信息】 新疆农业大学 ， 环境科学， 2005， 硕士

【摘要】 高光谱分辨率遥感(Hyperspectral Remote Sensing,简称高光谱遥感)是指利用很多很窄的电磁波波段从感兴趣的物体获取有关光谱数据,其基础是光谱学。高光谱遥感具有光谱分辨率高(波段宽度<10nm)、波段连续性强(在400-2500nm 范围内有几百个波段)、光谱信息量大等特点。本论文以玉米作为研究对象,使用美国ASD FieldSpec Pro FR?背挂式野外光谱辐射仪在玉米不同发育期获取其冠层、叶片以及茎、叶脉等不同器官的光谱反射率值,并同步测定了对应的主要农学参数值。主要生物物理参数包括:地上鲜生物量、地上干生物量、叶面积指数(LAI);主要生物化学参数包括:氮含量、粗脂肪含量、粗纤维含量、色素含量(叶绿素含量、叶绿素a 含量、叶绿素b 含量以及类胡萝卜素含量)。采用EXCEL 数据分析工具和数据分析统计软件SPSS 软件包(Statistical Package for Social),通过多元线性逐步回归技术、曲线拟合分析探讨高光谱反射率及其各类变换形式(包括高光谱特征变量以及各类高光谱植被指数)与对应的农学参数之间的关系并建立估算模型,然后采用四类精度检验指标对同一农学参数的多个估算模型的估算能力进行评价,最终筛选确定可分别对各类农学参数进行估算的最适高光谱估算模型。得出玉米主要农学参数的最适高光谱估算模型结论如下: 地上鲜生物量:FB=0.001exp17.16(SDr-SDb)/(SDr+SDb) (n=30,R2=0.914) 地上干生物量:DB=0.0002exp16.912(SDr-SDb)/(SDr+SDb) (n=30,R2=0.893) LAI:LAI=669.573 Dr -0.962 (n=30,R2=0.831) 全N 含量:Nitrogen=1.369exp1457.1ρ759 (n=35,R2=0.891) (注:ρ759 指759nm 处反射率的一阶导数值) 粗纤维含量:Fibre=-422.53ρ393 +42.42 (n=35,R2=0.513) (注:ρ393 指393nm 处的原始光谱反射率值) 粗脂肪含量:Fattiness=0.115Λr +11.888 Ro -79.498 (n=35,R2=0.761) 叶绿素含量:Chlorophyll=5.91exp-28.962 SDb (n=90,R2=0.817) 叶绿素a含量:Chla=4.763exp-29.803 SDb (n=90,R2=0.818) 叶绿素b含量:Chlb=1.198exp-26.504 SDb (n=90,R2=0.811) 类胡萝卜素含量:Carotenoid=1.845exp-817.93 Db (n=90,R2=0.754)更多还原

【Abstract】 High spectral resolution (Hyperspectral) remote sensing, which is based on spectroscopy, refers to use many narrow electromagnetic wavebands to detect the spectral reflectance of our interesting objects. Different from multispctral remote sensing, hyperspectral remote sensing shows many advantages, such as high spectral resolution, good continuity of wavebands and considerable contents of spectral information. In this study, we select corn as our interesting object, and use ASD FieldSpec Pro FR? to obtain the spectral reflectance of corn. We carried field-spectral observations at corn different growth period and obtained spectral reflectance of corn canopy as well as of corn different organs, which include leaves, stems, leaf veins and flowers and so on. Besides, the corresponding agricultural parameters were measured at the same time. The major biophysical parameters include the above ground fresh biomass, the above ground dry biomass, leaf area index. The major biochemical parameters include nitrogen concentration, rough fattiness concentration, rough fiber concentration and pigment concentration (chlorophyll concentration, chlorophyll a concentration, chlorophyll b concentration and carotenoid concentration). Excel software and SPSS (Statistical Package for Social)are used to process data. Multifactor linear stepwise regression technique and curve fitness analysis are adopted to discuss the correlation between corn agronomic parameters and raw hyperspectral reflectance as well as its different transformations, which include its first derivation spectral reflectance, hyperspectral characteristic variables, vegetation indices. And then the hyperspectral remote sensing estimation models for different agronomic parameters are constructed based on the results of correlation analysis, finally, the predictive precisions are analyzed for some chosen models in order to determine the best estimation models for every agronomic parameters. The results are following: The above ground fresh biomass : FB=0.001exp17.16(SDr-SDb)/(SDr+SDb) (n=30,R2=0.914) The above ground dry biomass: DB=0.0002exp16.912(SDr-SDb)/(SDr+SDb) (n=30,R2=0.893) LAI:LAI=669.573 Dr -0.962 (n=30,R2=0.831) Nitrogen concentration: Nitrogen =1.369exp1457.1ρ759 (n=35,R2=0.891) (Note:ρ759 refers to the first derivative spectral reflectance at 759nm) Rough fiber concentration: Fibre=-422.53ρ393 +42.42 (n=35,R2=0.513) (Note:ρ393 refers to the raw spectral reflectance at 393nm)Rough fattiness concentration: Fattiness=0.115Λr +11.888 Ro -79.498 (n=35,R2=0.761) Chlorophyll concentration: Chlorophyll=5.91exp-28.962 SDb (n=90,R2=0.817) Chlorophyll a concentration: Chla=4.763exp-29.803 SDb (n=90,R2=0.818) Chlorophyll b concentration: Chlb=1.198exp-26.504 SDb (n=90,R2=0.811) Carotenoid concentration: Carotenoid=1.845exp-817.93 Db (n=90,R2=0.754)更多还原