用统计分析与遥感分类技术相结合的方法, 进行了较高精度的夏玉米分类。 在验证分类结果具有可靠质量的基础上, 将分类影像二值化, 采用图像叠合法得到了黄淮海平原2000年—2010年夏玉米变化检测图像, 并按区域分析了该区域11年间夏玉米的种植变化情况。 结果表明, 2000年—2010年间, 黄淮海平原夏玉米种植面积总体明显增加, 其中南部区域种植面积逐年稳步增加, 北部、 东部和中部区域在2000年—2003年间为减少态势, 在2003年—2010年间则持续增加; 四大区域中, 北部区域变化幅度最大; 2000年—2010年间, 黄淮海平原中、 南部夏玉米种植比例不断加大, 整个区域种植比重呈南移趋势。 研究结果可为指导农业生产提供依据, 具有较高的实用价值和推广性。

In order to give consideration to the change information of summer maize planting area and spatial distribution in Huanghuaihai plain, the present paper combined statistical analysis and remotely sensed classification technology to extract summer maize based on MODIS EVI images. The results showed high accuracy (>67.35%) with the TM-derived in spatial distribution and high correlation coefficient with the agriculture statistics in planting areas at city level (R2>0.497 7). On this basis, change imagery was computed using image overlying algorithm based on binaryzated images derived from classification results in Huanghuaihai plain during 2000—2010. The change detection feature was analysed according to the plates in the region. The results show that the summer maize planting area increased significantly in huanghuaihai plain from 2000 to 2010. The planting area increased steadily in southern part during study year. In the northern part, it discreased from 2000 to 2003 and increased from 2003 to 2010. The most huge change occurred in the northern part in the period of 11 years. The planting proportion increased in the north of plain but decreased in the north. The new method can be widely used in regional dynamic detection and has a good applicability and accuracy.