Analyzing the extent and use of impervious land in rural landscapes  

在线阅读下载全文

作  者:Andreas Moser Jasper van Vliet Ulrike Wissen Hayek Adrienne Grêt-Regamey 

机构地区:[1]Planning of Landscape and Urban Systems(PLUS),ETH Zurich,Stefano-Franscini-Platz 5,Zurich,Switzerland [2]Institute for Environmental Studies(IVM),Vrije Universiteit Amsterdam,De Boelelaan 1111,Amsterdam,the Netherlands

出  处:《Geography and Sustainability》2024年第4期625-636,共12页地理学与可持续性(英文)

基  金:supported by the Netherlands Organization for Scientific Research NWO in the form of a VIDI grant(Grant No.VI.Vidi.198.008).

摘  要:The amount of impervious surface is increasing rapidly worldwide.Although urban expansion has been studied extensively,the alteration of impervious land cover in rural regions remains under-examined.In particular,insights into the utilization of these sealed surfaces are crucially needed to unravel the underlying dynamics of land use changes beyond urban areas.This study focuses on rural regions from a Swiss case study and presents an analysis of the use of sealed surfaces in such regions,rather than solely quantifying the extent of sealed surfaces.Utilizing a synergistic approach that merges detailed cadastral plans with very-high-resolution remote sensing imagery and sophisticated deep learning algorithms,we characterized the uses of sealed surfaces,including buildings and their surroundings.Our findings reveal that 2.1%of the study area’s rural regions comprises sealed surfaces-an area comparable to the sealed surfaces in the urban regions.Within these rural regions,transport infrastructure represents 68%of this impervious surface.Buildings account for 12%,and their surroundings,constituting 13%,are utilized primarily for agricultural purposes,including farming and livestock activities.The deep learning approach achieved a classification accuracy of 72%for a shallow model and 79%for a deeper model,indicating that mapping building types is possible with reasonable accuracy.The outcomes of this study underscore the critical need to factor in the presence and utilization of impervious land cover within rural regions for the sustainable management of land resources.

关 键 词:Soil sealing Rural areas Very-high-resolution aerial imagery Building types Convolutional neural networks Cadastral data 

分 类 号:F313[经济管理—产业经济] TP181[自动化与计算机技术—控制理论与控制工程]

 

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