利用中巴-2号卫星CCD估测土壤全氮的研究  

Research on the Estimation of Soil Total Nitrogen in Rice Field with CBERS-2 Image

作　　者：刘世峰[1] 潘剑君[1] 杨志强[1] 胡若婧[1] 刘莎[1] 

机构地区：[1]南京农业大学资源与环境科学学院,南京210095

出　　处：《遥感信息》2010年第1期57-63,共7页Remote Sensing Information

基　　金：江苏省科技厅:苏南农区土壤与水体质量宏观监测的方法技术体系研究

摘　　要：遥感监测土壤对于及时快速掌握农田肥力状况,合理施肥意义重大。NDVI在监测地表植被覆盖中发挥着重要作用,水田植被覆盖种类单一,其他影响因素少,这使得通过NDVI监测水稻长势,间接监测土壤肥力状况变得可行。本文就是利用中巴-2号卫星的CCD的植被指数对南京溧水县水田的土壤质量进行监测,回归方程的决定系数R2=0.741,相对误差为0.1663。结论发现利用中巴卫星的植被指数对研究区的的水田氮素的监测是可行的,并在此基础上做了研究区的氮素等级分布图,实现了遥感监测溧水水田土壤全氮的估测。The remote sensing is important in getting the fertility level of the cropland and plays an important role in the fertilization.The Normalized Difference Vegetation Index （NDVI） has made great contribution to the monitoring of the earth vegetation cover.The kind of the vegetation cover in paddy field is single with only few other affecting factors,which makes monitoring the soil fertility indirectly applicable e.g.using NDVI to monitor the rice growth vigorousness.The paper focused on the monitoring of soil fertility of paddy soil in the county of Lishui,Nanjing city using the NDVI of the CBERS-2 CCD image.The R2 and the relative deviations of the regression equation is 0.741 and 0.1663 respectively.And the research showed that is possible,and the grade distribution figure of total Nitrogen content of the study area is made,which proves the remote sensing monitoring of total Nitrogen in paddy field possible.

关 键 词：遥感 全氮估测 土壤 中巴卫星-2 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]