基于HJ-1影像的大棚菜地遥感监测技术研究--以山东寿光市为例  

MONITORING OF GREENHOUSE VEGETABLES LAND USING HJ-1 REMOTELY-SENSED IMAGERY

作　　者：黄振国[1,2] 陈仲新 研究员 刘芳清[1] 刘军[1] 

机构地区：[1]湖南省农业科学院农业经济和农业区划研究所,长沙410125 [2]农业部农业信息技术重点开放实验室,北京100081 [3]中国农业科学院农业资源与农业区划研究所,北京100081

出　　处：《中国农业资源与区划》2013年第5期102-106,共5页Chinese Journal of Agricultural Resources and Regional Planning

摘　　要：利用温室、大棚等设施进行蔬菜种植,一直是我国北方蔬菜种植的主要方式之一,因此,及时、准确地获取大棚菜地的面积及分布状况,是确保政府"菜篮子"工程顺利实施的需要,也是关系民生的一项重要工作。为探索及时准确提取大棚菜地信息的技术方法。该研究以山东省寿光市为例,采用HJ-1卫星图像,在分析各主要地物光谱特征的基础上,结合研究区的背景资料以及专家知识,对遥感影像进行分类,准确提取了大棚菜地的信息。通过在影像上随机抽取样本点,结合RGB假彩色合成影像及部分实地调查资料进行精度分析,得出样本点总体精度为92.01%。该研究表明,在HJ-1影像中大棚菜地光谱特征明显,易于同其他地类区别,利用遥感影像提取大棚菜地信息的方法,适合北方地区大棚菜地信息提取。Greenhouse Vegetables production played important role in guaranteeing vegetables supply for the citi- zens. In this paper, the authors tested the greenhouse vegetables land monitoring technique in Shouguang of Shan- dong using remotely - sensed HJ-1 imagery. Based on the analysis of the spectral characteristics of land cover types in HJ-1 image, the authors made remote sensing classification to retrieve the information of greenhouse vegetables. The overall classification accuracy is 92. 01% through randomly sampled points conbined with the analysis of RGB false color composite images and field investigation. This study showed the greenhouse vegetab spectral features in HJ-1 imagery and could be distinguished easily from other land cover types This paper suggested that the method may be applicable in other region in northern China. les land had obvious in the study region.

关 键 词：HJ-1影像 监测 大棚菜地 遥感 山东寿光 

分 类 号：S127[农业科学—农业基础科学] S626