王红,丹晓飞,李中元,姚尧

• 1:湖北大学资源环境学院
• 2:区域开发与环境响应湖北省重点实验室

摘要(Abstract)：

针对近年来冬闲田分布逐渐扩张的问题,该文提出了一种结合地表温度的冬闲田遥感提取方法。该文以Landsat 8遥感影像为数据源,利用随机森林和支持向量机的分类方法,结合地表温度因子,进行了湖北省荆门市2017年的冬闲田分布的调查。结果表明:荆门市各区县中心位置和山地区域冬闲田分布较少,丘陵梯田分布的地区冬闲田面积较大;同时考虑地表温度因子的情况下,相比于支持向量机提取方法,利用随机森林分类方法提取冬闲田取得了更好的精度。该研究说明了随机森林结合温度因素提取冬闲田可以获得较好的效果,是一种可行的冬闲田提取方法,可为合理开发利用冬闲田提供数据支撑。

关键词(KeyWords)： Landsat;温度反演;随机森林;冬闲田

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41301516);; 湖北省技术创新专项重大项目(2018ABA078);; 区域开发与环境响应湖北省重点实验室开放基金(2016B002)

作者(Author): 王红,丹晓飞,李中元,姚尧

DOI: 10.16251/j.cnki.1009-2307.2020.05.015

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