摘要
理清小麦渍害光谱特征是大尺度渍害遥感监测的基础，也是运用光谱特征实现无损、快捷鉴别小麦渍害的前期条件，迄今为止未见对小麦渍害光谱特征的相关研究。该研究通过田间实验分析了8个小麦品种(郑麦9023、西农223、漯6010、富麦168、鄂麦23、鄂麦19、广源11-2、农大195)受渍后叶片和冠层的光谱特征与没有渍害小麦光谱特征的差异，研究表明：受渍后叶片光谱反射率较正常叶片的差异主要表现在645~680 nm 区间(红光波段)，较正常值偏高；757~917 nm 区间(近红外波段)，较正常值偏低；1428~1456 nm 区间，较正常值高；1641~1684 nm 区间，较正常值低，主要原因：一是渍害导致叶片叶绿素光合作用能力下降，二是叶片失水引起水势降低，建议用归一化水指数(NDWI)的差异值反映小麦受渍情况，同时分析了不同小麦品种受渍时与受渍后 NDWI 指数随时间的变化特点，发现其变化特征与小麦品种的抗性有关；受渍后小麦冠层的所有波段光谱反射率均低于正常小麦，建议用670~2400 nm 光谱反射率的均值差异反映小麦受渍情况。
Abstract
Spectrum analysis of crop that affected by subsurface waterlogging is the foundation of surface waterlogging monito-ring by remote sensing in large scale.It is also the prerequisite of achieving non-destructive,quick identification of wheat subsur-face waterlogging damage with spectral features.But there is no papers report about spectrum analysis of crop affected by sub-surface waterlogging so far.The paper analysis the spectral features difference of 8 species (zenmai9023,xinong223,luo6010, fumai1 68,emai23,emai1 9,guangyuang1 1-2,nongda1 95)between affected subsurface waterlogging and normal in leaf and cano-py model using field experiment.The results shows that the leaf spectrum reflectivity value of wheat affected by subsurface wa-terlogging is high in 645~680 and 1 428~1 456 while it is lower in 757~91 7 and 1 641~1 684 nm.The main reason is that the subsurface waterlogging causes the leaf chlorophyll photosynthetic capacity decreased and leaf water loss.It is suggested to use NDWI (normal differential water index)value to indicate the damage degree of wheat subsurface waterlogging disaster.The changes of the NDWI index value is analyzed with time when difference wheat species demerged by subsurface waterlogging.It is found that the main factors caused the changes of the NDWI index value with time is related with resistance of variety.The cano-py spectrum reflectivity value of wheat affected by subsurface waterlogging is low in all spectrum area.It is suggested to use av-erage value in 670~240 nm to indicate the degree of wheat subsurface waterlogging disaster.
基金项目
2012年度公益性行业(农业)科研专项项目(201203032)
长江大学作物抗逆技术研究中心2015年开放基金资助()
NETL
NSTL
维普
万方数据