摘要
[目的]及时准确获取农作物种植结构信息,对农作物种植结构调整具有重要意义。[方法]文章以多期GF-1卫星PMS影像为主要数据源,通过分层分类方法成功提取了朱仙镇一个种植年内秋播蔬菜、冬小麦、春花生、早熟西瓜、夏玉米、夏花生等农作物,并通过叠加分析得到朱仙镇的农作物种植模式。[结果]朱仙镇有10种种植模式,以一年两熟的冬小麦-夏玉米为主要倒茬模式,占比49.7%,其他9种种植模式所占比例之和接近50%;从整体景观的角度对朱仙镇的主要作物种植模式进行衡量,斑块丰富度PR达到9.0,香农多样性指数SHDI达到1.483 6,说明朱仙镇种植模式多样,有利于多元农业种植结构发展;分层分类的方法能够延续最优提取结果的精度,各类作物提取精度均达到了80%以上。[结论]PMS影像的高分辨率能够清晰的表达地块边界,一定程度上呈现了非大宗作物的空间分布,GF-1卫星PMS为多尺度的农业监测提供了更多的选择。
Timely and accurately obtaining crop planting structure is crucial for crop planting structure adjustment. This paper used Multi - temporal GF - 1 PMS images to extract crop planting structure, interpreted winter wheat, spring peanut, early -maturing watermelon, summer corn, summer peanut by the hierarchical classification meth- od, and analyzed crop planting patterns by overlay analysis in Zhuxian township during a vegetable planting year. The results showed that （ 1 ） There were 10 kinds of planting patterns in Zhuxian town, of which winter wheat sum- mer maize was a major crop model, accounting for 49.7%. （2）The patch richness of PR reached 9, the Shannon diversity index SHDI reached 1. 483 6, which indicated that the town planting pattern was multiple variety agricul- tural planting structure. （3） The hierarchical classification method can improve the extract accuracy of each crop, which can reach more than 80%. PMS high resolution image can clearly define express parcel boundaries and show the spatial distribution of the non staple crops. GF - 1 PMS provided more choices on multiple scales of agricultural monitoring.
出处
《中国农业资源与区划》
CSCD
北大核心
2017年第9期56-62,共7页
Chinese Journal of Agricultural Resources and Regional Planning
基金
河南省科技攻关重点项目"基于‘互联网+’的农情遥感监测与服务研究"(172102110090)
国家自然科学基金项目"利用遥感与高光谱技术进行土壤有机碳的制图与不确定性研究"(41601213)
河南省农业科学院自主创新专项基金"基于多源遥感的河南省小麦面积提取研究"(2017ZC60)
关键词
GF-1种植结构
遥感
多时相
层次分类
种植结构
GF - 1
planting structure
remote sensing
multi - temporal
hierarchical classification
