本研究以地面样方调查结合2000~2013年MODIS—NDVI数据，建立样方生物量和遥感数据的关系模型，反演锡林河流域产草量的时空分布。研究结果表明：建立的植被指数模型相关系数达到0.6以上，模型精度为80%,线性模型作为遥感估测应用可行；锡林河流域年平均产草量鲜重为1001kg/hm2，空间分布呈现东南高-西北低的空间分布规律；2000~2013年，产草量年际间变化大，变异系数为51.6%，产草量总体呈波动上升趋势。锡林河流域草原产草量的时空变化与主要气候因素（气温、降水）关系密切，特别是受降水量的时空变化影响更为显著。本研究结论可以为有效地保护和利用草地资源、合理配置载畜量和恢复草原生态环境提供有效的技术支持和保障。%Using field samples investigation and MODIS-NDVI with a spatial resolution of 1km × 1km during 2000~2013 of Xilin River Basin, the model of relationship between biomass and remote sensing data is set up, which used to inverse the temporal and spatial distribution of grass production. The re-sults showed the correlation coefficients of MODIS-NDVI model are higher than 0.61, and the accura-cy of the production estimation model was 80%. The linear model was available and fit to production estimation of remote sensing;The average annual grass yields were 1001kg/hm2 and the spatial distri-bution of grass production demonstrated a downtrend from the southeast to the northwest in Xilin River Basin. During 2000~2013, amount of grass yield presented a fluctuated improving trend and the coeffi-cient of variation of annual grass yields was 51.6%.The temporal-spatial distribution of grass yields in Xilin River Basin is affected by the climate factors (temperature and precipitation), especially with the influence of precipitation. The study provides a good technical support for effectively protection and utili-zation of grassland resources, reasonably disposition of year poultry capacity and restoration of grassland ecosystem.
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