Abstract:

【Objective】 The method combing the advantages of remotely sensed data and sampling has showed the better actual value in practice for solving the problems about mis-registration error and regional difference. 【Method】 Taking Beijing as a study area, a combing method with multi-temporal HJ-1 remotely sensed data was used for wheat planting area estimation. Firstly, the multi-temporal remote sensing images were adopted for the wheat area, then integrating the cultivated parcel for building sample populations. Secondly, with wheat area in the parcel as the stratified flag, the stratified random sample method was applied. Thirdly, after ground survey for every sample, the overall regional wheat area was derived. The results showed that MAE and bias was 0.17 and -0.05 respectively. 【Result】 The sample method increased by 5% for regional wheat planting area, which corrected some remote sensing errors. 【Conclusion】 It was concluded that the method can guarantee the regional and parcel scale accuracy, and can be broadly used in crop area estimation.

Key words: winter wheat, area estimation, strata sample, remote sensing