基于LISS4数据的小麦氮素营养状况反演研究  

Inversion of wheat nitrogen status based on LISS4 data

作　　者：鞠昌华[1] 田永超[1] 朱洪芬[1] 朱艳[1] 曹卫星[1] 

机构地区：[1]南京农业大学/江苏省信息农业高技术研究重点实验室,南京210095

出　　处：《农业工程学报》2008年第11期150-154,313,共6页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金(30671215;30400278);江苏省自然科学基金(BK2005212)

摘　　要：利用LISS4卫星遥感数据在小麦氮素营养状况监测方面进行了初步研究。根据搭载多光谱传感器LISS4的IRS-P6的过境周期,2006年5月3日在江苏省盐城地区进行同步地面取样测试,通过分析试验点小麦LISS4影像光谱信息与小麦叶面积指数及叶片氮含量的相关关系,发现小麦叶面积指数和叶片氮含量与LISS4影像三个波段反射率及植被指数RVI、NDVI、GNDVI均密切相关,表明利用LISS4遥感影像监测小麦氮素营养状况是可行的。比较不同波段原始反射率和植被指数,在本研究中LISS4影像波段4反射率与小麦氮素营养状况相关最密切。检验结果也表明利用LISS4影像波段4反射率估测小麦氮素营养状况是可行的。研究成果为利用遥感技术大面积监测小麦氮素营养状况和实施精确栽培管理提供了理论依据。In this study, LISS4 satellite image was used to monitor wheat nitrogen status with remote sensing data. Two field experiments were carried out at Yancheng suburb on May 3, 2006, according to the pass time of IRS-P6 satellite-the plat form placed on the LISS4. Some correlation analyses between wheat nitrogen status and wheat canopy spectra information from the LISS4 image were made in this paper. The results showed that both wheat leaf area index （LAI） and leaf nitrogen content （LNC） have good correlation with the LISS4 different wavebands reflectance and vegetation indices RVI, NDVI, GNDVI. Among the different wavebands reflectance and vegetation indices, the band4 reflectance was most closely related to wheat nitrogen status in this study. Test results also indicated that LISS4 satellite image could be used to monitor wheat nitrogen status. This research offered theory basis for monitoring nitrogen status and precision management in large area wheat production using remote sensing technology.

关 键 词：小麦 LISS4数据 氮素营养 反演 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] S127[自动化与计算机技术—控制科学与工程]