湖南省中稻种植面积遥感监测方法研究
The Remote-sensing Monitoring Methods of Rice Planting Area in Hunan Province
陶青山 1黄飞 1雷帆 1肖莉1
作者信息
- 1. 湖南省国土资源规划院,湖南长沙410007
- 折叠
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GF-1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.GF-1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.
Abstract
The rice planting area has the characteristics of broken block of cultivated land,complex planting structure,significant growing phenomena of inter-plauting 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 GF-1.According to the spot data of territorial resources,pixel quantity and abundance level of semilate rice were researched.After deducing the non-cultivated 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 remote-sensing monitoring method was effective in estimating the semilate rice planting area in Hunan Province.The spatial resolution,band coverage and image coverage of GF-1 satellite remote sensing data could meet the requirements of large-scale monitoring of crop planting area.The method of filed investigation based on sampling-surveying technology combining with image classification could be used for remote sensing monitoring of grain planting area at region level and province level.
关键词
遥感监测/大面积/中稻/种植面积Key words
RS monitoring, Large area/Semilate rice/Planting area引用本文复制引用
基金项目
湖南省科学技术厅科技计划支撑项目(2014NK3069)
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据