基于RS与GIS的大尺度水土流失分级制图  被引量:5

Large-scale Classified Mapping in Soil Erosion Based on RS & GIS

在线阅读下载全文

作  者:吕航[1] 陈圣波[1] 孟治国[1] 汪自军[1] 宋金红[1] 

机构地区:[1]吉林大学地球探测科学与技术学院,吉林长春130026

出  处:《遥感技术与应用》2007年第6期715-717,共3页Remote Sensing Technology and Application

基  金:国家863计划项目(2006AA12Z102);长春市社会发展科技计划项目(2005185-05SF12)

摘  要:以长春市双阳区鹿乡镇为例,选用SPOT5的遥感数据、DWG全要素地形图,运用遥感软件提取植被指数并进行密度分割,确定植被覆盖度;用地理信息系统软件提取地形坡度信息,并对地形坡度进行分级。然后根据植被覆盖度、地形坡度和土地利用类型几个水土流失强度因子,确定水土流失强度的分级指标,生成水土流失等级强度图。为水土流失监测、治理提供依据。This paper takes Luxiang town of Shuangyang district in Changchun city as study area. Based on SPOT5 remote sensing images and DWG full-factor relief map, NDVI was extracted and density was segmentated to indentify the vegetation-covered rate by remote sensing software. Meanwhile, the slope information was extracted from the DWG file by GIS software and degree the topography slope. According to the vegetation overlap degree, the topographic map and land use map, we identified the degree index of the soil erosion intensity,as a result, soil erosion map was gained.

关 键 词:水土流失 地形坡度 植被覆盖度 

分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象