摘要
在CASA模型的基础上,建立了利用NOAA/AVHRR 1B卫星资料和气象资料估算植被净初级生产力（NPP）的技术方法,该方法有3个特色：直接利用NOAA/AVHRR 1B卫星数据,不需要经过大气校正和方向反射率校正来实现NPP估算;考虑了植被覆盖类型对光能利用率的影响;考虑了植被反照率在计算净辐射中的差异。利用该方法对2007年华北地区的NPP模拟结果表明：2007年华北地区植被的年总NPP为3.68×10^14gC/a,各省总的NPP贡献率依次为：内蒙古64%、山西20%、河北13%、北京2%和天津1%,各季的贡献率大小依次为：夏季67%,秋季17%、春季15%,冬季1%。不同植被类型年NPP分别为：森林灌丛为271-560 gC/m^2·a,草原为97-278 gC/m^2·a,农田为363-376 gC/m^2·a,建筑居民地为216 gC/m^2·a,荒漠裸地为14 gC/m^2·a。受物候和气候因素影响,不同植被类型NPP具有不同的年变化。
Based on CASA model,a new kind of method was set up to estimate net primary production（NPP） using NOAA/AVHRR 1B data and climate data.Using this method,NOAA/AVHRR 1B satellite data could be directly used to estimate NPP without complicated atmospheric correction and directional reflectance correction.The influence of vegetation types on light utility efficiency was included and difference of albedo among vegetation types in estimating net radiance was also considered.The simulated NPP was close to NPP in the same region in other researches and the method to estimate NPP was reliable.The total NPP of North China in 2007 was 3.68×1014gC/a and average NPP was 244gC/m^2·aThe contribution rates of total NPP were separately 64%,20%,13%,2% and 1% for the Inner Mongolia Autonomous Region,Shanxi Province,Hebei Province,Beijing and Tianjin.The contribution of total NPP of deciduous broad-leaved forest was 19%,and meadow steppe and typical steppe was 14%.Bare land and sandy desert,waterbody and urban and built-up area had a contribution of less than 1%.The spatial average NPP of Beijing was 431 gC/m^2·aand was higher than most of other areas in North China.NPP of North China in summer was the largest among the four seasons,and the proportions of NPP in summer,autumn,spring and winter were 67%,17%,15% and 1%,separately.The NPP for deciduous broad-leaved forest area was the largest with 560 gC/m^2·aamong all the vegetation types.And NPP for forest and shrub land and bush land,grassland,crop,urban and built-up area,bare land and sandy desert were 271-560 gC/m^2·a97-278 gC/m^2·a363-376 gC/m^2·a216 gC/m^2·aand 14 gC/m^2·aDifferent vegetation types had different annual variations due to the influence of phenological law and climate factors.
出处
《自然资源学报》
CSSCI
CSCD
北大核心
2010年第4期564-573,共10页
Journal of Natural Resources
基金
华北区域气象中心创新基金(BRMCCJ200710)
作者简介
刘勇洪（1974-），男，四川广安人，硕士，高级工程师，主要从事卫星遥感应用与农业气象等研究。E—mail：lyh7414@163．com
