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作 者:杨飞[1,2] 张柏[1] 刘殿伟[1] 刘志明[3] 宋开山[1] 王宗明[1]
机构地区:[1]中国科学院东北地理与农业生态研究所,吉林长春130012 [2]中国科学院研究生院,北京100039 [3]东北师范大学城市与环境学院,吉林长春130024
出 处:《干旱地区农业研究》2010年第2期243-248,共6页Agricultural Research in the Arid Areas
基 金:中国科学院东北振兴科技行动计划重点项目(DBZX-2-030);中国科学院长春净月潭遥感实验站开放基金
摘 要:MODIS成为越来越重要的科研和生产的数据源,但其低空间分辨率使得其产品精度易受多种因素的影响,其中混合像元是主要的影响因素。均匀散布的农村居民地是中国东北农作物种植区的显著特征,目前尚未见到有关居民点对MODIS混合像元产品精度的影响研究报导。本研究基于TM遥感影像分析了典型玉米种植区的居民地对MODIS LAI、FPAR产品精度的影响。结果表明,96%以上MODIS像元的农村居民地面积比例小于40%,居民地对LAI、FPAR遥感估算精度影响较为明显,MODIS像元中居民地面积比例与红波段反射率及LAI、FPAR遥感估算的误差呈较好的线性关系,拟合确定性系数R2达到0.90以上,与近红外波段反射也呈线性关系,拟合确定性系数R2仅达0.3423,MODIS像元在近红外波段反射率受居民地影响较显著。MODIS data become more and more important source for research and production,but the low spatial resolution leads to the data influenced by many factors.Plenty of works have been done for data precision validation,which demonstrated that mixed pixel of several objects was the main influencing factor.Equal dispersion of the rural residential area is the typical characteristic of the farmland in northeastern China.However,it has not been seen the influences of residential area on the MODIS data precision of mixed pixels.In this study,it was studied the residential area in typical corn field impacts on the precision of MODIS LAI and FPAR data based on TM data.It can be concluded that more than 96% of the MODIS mixed pixels have the residential area below 40%.Residential area made strong impact on the precision of MODIS LAI and FPAR data.The residential area in a MODIS pixel showed great linear relations with the difference before and after considering the residential area for red band reflectance,LAI and FPAR,R2 of which are above 0.90,but with R2 of 0.3423 for near infrared band reflectance,this demonstrated that near infrared band reflectance of MODIS mixed pixels are influenced greatly by residential area.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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