CAJ | 학술논문

　　四川草原是我国5大牧区之一，其可利用的天然草地占全省草原总面积的85%，准确掌握草原产草量信息对草原管理和当地经济发展具有重要意义。本研究利用2011年7月MODIS不同分辨率（250m、500m、1km）NDVI、EVI产品和同期地面调查数据（共181个采样点），对四川草原4种主要草地类型（即高寒草甸草地、高寒灌木草地、高寒沼泽草地和山地疏林草地）产草量鲜重分类型建立估产模型。研究发现，NDVI对该地区4种主要草地类型产草量的拟合效果普遍优于EVI；相对于500m和1km的遥感数据，250m的遥感数据拟合效果较好；分草地类型建立模型的效果优于对全体样本建立模型；该地区除高寒沼泽草地用幂函数模型拟合效果较好外，其余均用指数模型进行建模效果较好；对该地区各草地类型建立的最优估产模型，精度均在70%以上，回归判定系数R2在0.75以上；利用最优模型对2011年四川省草原进行估产，总体估产精度约为90%。
　　사천초원시아국5대목구지일，기가이용적천연초지점전성초원총면적적85%，준학장악초원산초량신식대초원관리화당지경제발전구유중요의의。본연구이용2011년7월MODIS불동분변솔（250m、500m、1km）NDVI、EVI산품화동기지면조사수거（공181개채양점），대사천초원4충주요초지류형（즉고한초전초지、고한관목초지、고한소택초지화산지소림초지）산초량선중분류형건립고산모형。연구발현，NDVI대해지구4충주요초지류형산초량적의합효과보편우우EVI；상대우500m화1km적요감수거，250m적요감수거의합효과교호；분초지류형건립모형적효과우우대전체양본건립모형；해지구제고한소택초지용멱함수모형의합효과교호외，기여균용지수모형진행건모효과교호；대해지구각초지류형건립적최우고산모형，정도균재70%이상，회귀판정계수R2재0.75이상；이용최우모형대2011년사천성초원진행고산，총체고산정도약위90%。
Grassland in Sichuan Province is one of the five most important pastoral areas in China. Available nat-ural grassland accounts for 85%of the total grassland area of Sichuan Province. Accurate grass yield is signifi-cant for management of grassland and local economics. In this study, data of MODIS-NDVI/EVI with different resolution (250m, 500m, 1km) in July of 2011 was utilized to model the relationship between grass yield of the four main types (i.e., alpine meadow type, alpine shrub grassland, alpine swamp grassland and mountain drain grassland) and RS data, respectively. Vegetation coverage combined with NDVI/EVI was used to reduce the ef-fect of mixed pixel. The main conclusions are as follows:NDVI was better than EVI to establish the relationship. Data of 250m was ideal among data of different resolution tested. Model for each main type of grassland was bet-ter than model for all the four grassland types. Exponential model was better to simulate the relationship com-pared with other models for the four main types of grassland except for alpine swamp grassland. And for alpine swamp grassland, power function model was better. Optimization model for each of the four main type grassland was obtained. Accuracy of each optimization model was more than 70% while R2 was larger than 0.75. Then these optimization models were utilized to estimate grass yield of Sichuan Province in 2011 and the accuracy of estimation was about 90%. This suggests that these optimization models are feasible and the accuracy is satisfied in practice.