| 基于高分遥感影像的土地利用研究——以重庆三峡库区为例 |
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| 引用本文： | 翁纪军.基于高分遥感影像的土地利用研究——以重庆三峡库区为例[J].测绘与空间地理信息,2020(4):88-90,95. |
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| 作者姓名： | 翁纪军 |
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| 作者单位： | 韶关市测绘研究院 |
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| 摘 要： | 针对传统的土地利用专题图制作周期较长、精度不高等问题,本文首先通过对高分遥感影像进行影像校正、影像配准、影像融合、影像镶嵌、影像裁剪,以完成高分遥感影像预处理;其次通过遥感影像监督分类,实现对三峡库区土地利用现状的分类,包括草地、林地、耕地、园地、水域及水利设施、居民地、交通运输用地、工矿仓储用地、其他用地等九大类;最后通过监督分类结果完成土地利用专题图的制作,并得到各类土地利用类型的分布状况及面积大小。随机抽取图斑进行验证后可得:从专题图来看,库区的土地利用类型以林地和耕地为主,应转化土地利用结构,将耕地的面积集中分布在三峡库区的西南部和中北部,提高林地面积覆盖率小的地区的覆被量。
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| 关 键 词： | 土地利用 高分影像处理 专题制作 |
The Research on Land Use Based on High Resolution Remote Sensing Images:A Case Study of Three Gorges Reservoir in Chongqing City |
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| WENG Jijun.The Research on Land Use Based on High Resolution Remote Sensing Images:A Case Study of Three Gorges Reservoir in Chongqing City[J].Geomatics & Spatial Information Technology,2020(4):88-90,95. |
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| Authors: | WENG Jijun |
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| Institution: | (Shaoguan Institute of Surveying and Mapping,Shaoguan 512000,China) |
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| Abstract: | Regarding the problem in the traditional land use thematic map like long production cycle,low accuracy,and so on.This paper firstly conducts a number of image processing procedures like image correction,image registration,image fusion,image Mosaic,image cropping on the high resolution remote sensing images.Secondly,supervised classification is applied to obtain grassland,forest land,cultivated land,garden land,water and water conservancy facilities,residences,land transportation,industrial and mining warehouse land,land for other nine categories.Finally,the land use status of three gorges reservoir area is acquired to make the land use thematic map,which shows the distribution of various land use type and area.Randomly selected map spots after verification show that the land use type in the local area is mainly forest land and arable land.The land use structure can be optimized by adjusting the cultivated land to the south-west and north-central of the three gorges reservoir area and improving woodland coverage. |
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| Keywords: | land use high resolution image processing thematic map production |
| 本文献已被 CNKI 维普 等数据库收录！ |
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