CAJ | 학술논문

利用2010年白银区春小麦生长季（4—7月）空间分辨率为250 m的MODIS影像和气象站点的气象数据，通过CASA模型建立了基于MODIS数据的春小麦净初级生产力遥感估算模型，估算出白银区春小麦生长季的净初级生产力（NPP ），通过春小麦NPP与干物质转换关系计算出春小麦生产潜力。结果表明：白银区南部春小麦的NPP和生产潜力均大于北部地区，其NPP最小值为42 gC·m－2·a－1，最大值为402 gC·m－2·a－1，且春小麦的生产潜力有明显的季节性规律。根据春小麦生产潜力与实际产量的拟合关系建立了产量估测模型，并对该模型做了精度验证与实用性评价，结果显示该估产模型均方根误差 RMSE为76．33 g·m－2，相对均方根误差 RMSEr为23．51％。
이용2010년백은구춘소맥생장계（4—7월）공간분변솔위250 m적MODIS영상화기상참점적기상수거，통과CASA모형건립료기우MODIS수거적춘소맥정초급생산력요감고산모형，고산출백은구춘소맥생장계적정초급생산력（NPP ），통과춘소맥NPP여간물질전환관계계산출춘소맥생산잠력。결과표명：백은구남부춘소맥적NPP화생산잠력균대우북부지구，기NPP최소치위42 gC·m－2·a－1，최대치위402 gC·m－2·a－1，차춘소맥적생산잠력유명현적계절성규률。근거춘소맥생산잠력여실제산량적의합관계건립료산량고측모형，병대해모형주료정도험증여실용성평개，결과현시해고산모형균방근오차 RMSE위76．33 g·m－2，상대균방근오차 RMSEr위23．51％。
Based on the Carnegie Ames Stanford Approach (CASA) ,a net primary productivity (NPP) model for spring wheat was established with 250 m × 250 m MODIS remote images and weather station-based meteorological data in the Baiyin District at wheat growing season from April to July 2010 .Through calculation on the transform relationship be-tween NPP and dry matter ,the potential productivity of spring wheat was estimated .The results showed that the NPP and potential productivity of spring wheat in south area were both greater than those in the north area of Baiyin District .The minimal value of NPP was 42 gC·m-2·a-1 and the maximal value was 402 gC·m-2·a-1 .In the meantime ,it was found that the production potential of spring wheat showed clear correlations with seasons .According to the actual wheat yield of per unit area and the potential productivity of spring wheat ,the estimation model by regression analysis was established . Further tests were carried out to evaluate the accuracy and utilization of the model with a root mean square error ( RMSE) at 76 .33 g·m-2 and a relative root mean square error ( RMSEr ) at 23 .51% .