安徽农业科学2016，Vol.44Issue(18)：250-255,6.
GF－1卫星数据在永久基本农田非粮化监测中的应用
Application of GF-1 Satellite Data on Monitoring Non-grain Phenomenon in Permanent Basic Farmland
摘要
Abstract
With Jiashan County in Zhejiang Province as the research region, GF-1 image data were applied.Object-oriented classification meth-od was used to extract the non-grain zones in permanent basic farmland , such as ponds and nursery trees .The overall classification accuracy was 0.846;and Kappa coefficient was 0.875.Results showed that high resolution domestically-produced satellite images could rapidly and accurately detect and estimate the non-grain area and distribution of permanent basic farmlands , which provided rapid monitoring and estimation of non-grain degree of permanent basic farmlands, and offered reliable references for rational management and guidance of farmland use .关键词
永久基本农田/“非粮化”/高分一号/面向对象分类Key words
Permanent basic farmland/Non-grain phenomenon/GF-1/Object-oriented classification分类
农业科技引用本文复制引用
敖为赳,陈一帆,关涛,王建锋,邓劲松,干牧野,苏越..GF－1卫星数据在永久基本农田非粮化监测中的应用[J].安徽农业科学,2016,44(18):250-255,6.基金项目
国土资源部公益项目（20141119）。 （）
