摘要
利用华北平原2013年65景Landsat 8 OLI数据,通过ENVI软件对影像进行预处理,采用面向对象的信息提取和人机交互式解译方法,对华北平原小麦、玉米、水稻、大豆等主要作物分布及种植结构进行了系统的解译,划分了研究区小麦玉米两熟区、小麦水稻两熟区、水稻两熟区、小麦大豆两熟区、玉米一熟区、水稻一熟区分布范围,并分析了研究区农作物种植结构影响因素。结果表明,基于Landsat 8 OLI数据对大区域主要作物种植面积及种植结构遥感解译的技术和方法是可行的,能为研究农作物种植结构提供有效方法。
The use of the north China plain in 2013 65 king Landsat 8 OLI data, by ENVI software image preprocessing, sampling object - oriented man -machine interactive information extraction and interpretation methods, the north China plain (including wheat, corn, rice, soybeans distribution) and planting of crops and other major structures were interpreted system, the division of the study area of wheat and corn cropping area, wheat rice cropping area of rice cropping area, wheat soy crop-ping area, a ripe area corn, rice and a cooked zone distribution, and analysis of the impact of crop planting structure factors in the study area. The results show that the techniques and methods based on Landsat 8 OLI data for major crop acreage and planting large areas of remote sensing interpretation structure is feasible. It can provide an effective method for the study of crop planting structure.
出处
《物探化探计算技术》
CAS
CSCD
2017年第3期416-424,共9页
Computing Techniques For Geophysical and Geochemical Exploration
基金
中国地质调查局资助项目(1212011220941)