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
敖为赳 1陈一帆 1关涛 1王建锋 1邓劲松 2干牧野 2苏越2
作者信息
- 1. 浙江省土地资源调查办公室，浙江杭州310007
- 2. 浙江大学遥感与信息技术研究所，浙江杭州310058
- 折叠
摘要
以浙江省嘉善县为研究区，应用高分一号影像数据，通过面向对象分类方法提取永久基本农田范围内坑塘、苗木地等非粮化区域，总体分类精度为0．846，Kappa系数为0．875。结果表明，利用高分辨率国产卫星影像，能够快速、准确地提取永久基本农田非粮化面积和分布，为永久基本农田非粮化程度的快速监测和评估，合理管控和引导耕地用途提供可靠的参考。
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引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据