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首页> 外文会议>Agriculture and Hydrology Applications of Remote Sensing; Proceedings of SPIE-The International Society for Optical Engineering; vol.6411 >Quantitative retrieval of crop water content under different soil moistures levels
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Quantitative retrieval of crop water content under different soil moistures levels

机译：不同土壤水分水平下农作物水分的定量检索

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摘要

The characteristics of canopy spectrum and growth status of winter wheat under different soil moisture levels were studied in the field. Correlations between FMC and EWT of leaf and spectral reflectance of canopy were calculated and analysed quantitatively, and the sensitive bands to leaf water were found. Simple ratio water index(SWI)and normalized difference water index(NDWI) were constructed with the sensitive bands. Simple statistical models at different growthrnstages were established using spectral indices data and FMC and EWT of leaf. Bands centered at 469 , 645 , 700 and 710nm of VIS region, bands centered at 760 , 815 , 855 , 930 , 1075 , 1100nm of NIR region and bands centred 550 ,rn1600 , 1640 , 1750 , 2130nm of SWIR were defined as sensitive bands to estimate leaf water content. These bandsrncentered atmosphere windows had the potential to be applied in monitoring canopy leaf content of crop. The SWI and NDWI constructed with the sensitive bands could estimate leaf content more accurately than single band. The four band MODIS combined index: R (1640,2130) / ND (855,555) showed a good indicator to detect canopy water content of winter wheat.
机译：田间研究了不同水分条件下冬小麦冠层光谱特征和生长状况。计算并定量分析了叶片的FMC和EWT与冠层光谱反射率之间的相关性，发现了对叶片水分的敏感谱带。利用敏感带构建了简单比值水指数（SWI）和归一化差水指数（NDWI）。利用光谱指数数据，叶片的FMC和EWT建立了不同生长期的简单统计模型。将以VIS区域的469、645、700和710nm为中心的波段，以NIR区域的760、815、855、930、1075、1100nm为中心的波段以及将SWIR的以550，rn1600、1640、1750和2130nm为中心的波段定义为敏感波段估计叶片含水量。这些以带为中心的大气窗口有潜力应用于监测农作物冠层叶片含量。用敏感频段构建的SWI和NDWI可以比单频段更准确地估计叶片含量。四波段MODIS综合指数：R（1640,2130）/ ND（855,555）显示了检测冬小麦冠层水分的良好指标。

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