关键词: 小域估计, 遥感, 农作物种植面积

Abstract: Remote sensing imagery is one form of the big data. It typically uses regression estimator or calibration estimator to estimate the planted acreage by applying remote sensing. Therefore, it’s necessary to combine the sample data from ground survey with satellite image classification. For most cases of regression estimator, the estimation of provincial crop acreage only satisfies the precision target for a province but could not disaggregate to small areas, such as county and town level statistics. This paper is adopted small area estimation approach to estimate crop acreage at county level in Heilongjiang province by combining ground survey data with image classification of the year 2011. A basic level small area model in the form of multi-response multiple regression with fixed effects is adopted to estimate acreage for major crops. Based on regression estimator, not only all county level estimation is produced but also the constraint that the aggregate of county level estimates could be equal to the estimate for entire province under linear model is satisfied.

Key words: Small Area Estimation, Remote Sensing, Crop Acreage