摘要
水稻田是一种人工湿地。快速、准确地获取水稻的种植和生长信息,对于加强水稻田管理具有重要的实践意义。以河南省新乡市原阳县引黄灌区的水稻田为研究对象,采用随机森林算法,利用2020年8月26日和9月11日的Landsat 8 OLI影像数据,提取研究区的地表水分指数(land surface water index,LSWI)、归一化差值植被指数(normalized difference vegetation index,NDVI)和比值植被指数(ratio vegetation index,RVI),实现了研究区水稻田分布信息的遥感识别,并对提取结果进行验证。研究结果显示,分类结果的总体分类精度为96.8%,Kappa系数为0.952。
The rice field is a kind of constructed wetland.The information that rice planting and growing is obtained quickly and accurately has practical significance to strengthen the management of rice fields.Based on the images of Landsat 8 OLI on 26 August and 11 September 2020,the land surface water(LSWI),normalized difference vegetation index(NDVI)and ratio vegetation index(RVI)of Yellow River irrigation area in Yuanyang county,Xinxiang city,Henan province was extracted,the rice fields were identified using random forest algorithm method.The results showed that the overall classification accuracy was 96.8%,and the Kappa coefficient was 0.952.
作者
郭群佐
邓荣鑫
魏义长
许正然
GUO Qunzuo;DENG Rongxin;WEI Yichang;XU Zhengran(College of Surveying and Geo-Informat ics,North China University of Water Resouces and Electric Power,Zhengzhou 450046,Henan,P.R.China)
出处
《湿地科学》
CSCD
北大核心
2021年第1期40-46,共7页
Wetland Science
基金
国家重点研发计划项目课题(2017YFD0301102-5)
河南省科技攻关计划项目(192102110122)
河南省高等学校青年骨干教师培养计划项目(2020GGJS101)资助。
关键词
水稻田
遥感分类
信息提取
随机森林算法
引黄灌区
原阳县
rice field
remote sensing classification
information extraction
random forest method
Yellow River irrigation area
Yuanyang county
