陶青山 黄飞 雷帆等

摘要综合考虑大面积水稻种植区耕地地块破碎，种植结构复杂，插花、套种、错季种植现象明显，影像解译、分类难度大等特点，充分利用国产卫星GF1数据，以湖南省中稻种植为例，通过精确作物识别与混合像元处理，实现像元尺度的中稻识别；结合国土资源土地调查数据，统计中稻的像元数量与丰度（种植面积比）水平，并扣除耕地图斑内的非耕地成份，建立中稻种植面积估算模型，最终得到精确到县级报告单元的种植面积估算结果。结果表明：通过遥感数据估算面积和地面样方调查计算结果的可决系数达到0.869 6，说明遥感监测方法在湖南省中稻种植面积估算中行之有效。GF1卫星遥感数据的空间分辨率、波段覆盖范围、影像覆盖能力等能满足大面积农作物种植面积监测要求，基于抽样技术的地面调查与遥感影像分类相结合提取作物种植面积信息的方法可用于省级、区域级的粮食种植面积遥感监测。

关键词遥感监测；大面积；中稻；种植面积

中图分类号S127文献标识码A文章编号0517-6611（2016）04-309-05

The Remotesensing Monitoring Methods of Rice Planting Area in Hunan Province

TAO Qingshan， HUANG Fei， LEI Fan et al（Land and Resources Planning Institute of Hunan Province， Changsha， Hunan 410007）

AbstractThe rice planting area has the characteristics of broken block of cultivated land， complex planting structure， significant growing phenomena of interplanting and planting in different seasons， difficult interpretation and classification of images. With semilate rice planting in Hunan Province as the research material， semilate rice identification of pixel scale was realized through accurate crop identification and mixed pixel treatment based on the data of domestic satellite GF1. According to the spot data of territorial resources， pixel quantity and abundance level of semilate rice were researched. After deducing the noncultivated land ingredients from the cultivated land figure spot， estimation model of semilate rice planting area was established. Finally， the estimation results of planting area at county level were obtained. Results showed that the coefficient of determination was 0.869 6， showing that the remotesensing monitoring method was effective in estimating the semilate rice planting area in Hunan Province. The spatial resolution， band coverage and image coverage of GF1 satellite remote sensing data could meet the requirements of largescale monitoring of crop planting area. The method of filed investigation based on samplingsurveying technology combining with image classification could be used for remote sensing monitoring of grain planting area at region level and province level.

Key wordsRS monitoring， Large area； Semilate rice； Planting area

隨着工业化和城镇化的推进，耕地面积在一定时期内将持续减少，同时，农作物继续稳定增产的难度加大，粮食安全压力大。农作物种植面积是影响农产品产量的重要因素之一[1]，湖南省是我国水稻种植大省，及时、准确地掌握全省水稻种植面积，为农业政策制定、粮食安全分析、农产品市场调控以及调整粮食种植补贴的发放政策提供辅助决策支持显得尤为重要。……