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,insi...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.展开更多
The breakthrough developments in geospatial technologies and the increasing availability of spatial data make geoinformation a business and a decisional element to the management.Hence,it is important to have a manage...The breakthrough developments in geospatial technologies and the increasing availability of spatial data make geoinformation a business and a decisional element to the management.Hence,it is important to have a management plan to factor in practical and feasible data sources,in building geo applications.The authors of this paper are motivated by the fact that right data sources could outclass in-house resources in various application scenarios.This paper outlines pragmatic cases for the tangible benefits of the existing potential data and expeditious patterns for digital earth.This work also proposes‘good-enough’solutions based on the pragmatic cases,available literature,and the 3D city model developed that could be sufficient in contriving the objectives of the common public usage and open business models.To demonstrate this approach,the paper encapsulated the low-cost development of virtual 3D city model using publicly available cadastral data and web services.展开更多
There is an increasing availability of geospatial data describing patterns of human settlement and population such as various global remote-sensing based built-up land layers,fine-grained census-based population estim...There is an increasing availability of geospatial data describing patterns of human settlement and population such as various global remote-sensing based built-up land layers,fine-grained census-based population estimates,and publicly available cadastral and building footprint data.This development constitutes new integrative modeling opportunities to characterize the continuum of urban,peri-urban,and rural settlements and populations.However,little research has been done regarding the agreement between such data products in measuring human presence which is measured by different proxy variables(i.e.presence of built-up structures derived from different remote sensors,census-derived population counts,or cadastral land parcels).In this work,we quantitatively evaluate and cross-compare the ability of such data to model the urban continuum,using a unique,integrated validation database of cadastral and building footprint data,U.S.census data,and three different versions of the Global Human Settlement Layer(GHSL)derived from remotely sensed data.We identify advantages and shortcomings of these data types across different geographic settings in the U.S.,which will inform future data users on implications of data accuracy and suitability for a given application,even in data-poor regions of the world.展开更多
基金supported by the Netherlands Organization for Scientific Research NWO in the form of a VIDI grant(Grant No.VI.Vidi.198.008).
文摘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.
文摘The breakthrough developments in geospatial technologies and the increasing availability of spatial data make geoinformation a business and a decisional element to the management.Hence,it is important to have a management plan to factor in practical and feasible data sources,in building geo applications.The authors of this paper are motivated by the fact that right data sources could outclass in-house resources in various application scenarios.This paper outlines pragmatic cases for the tangible benefits of the existing potential data and expeditious patterns for digital earth.This work also proposes‘good-enough’solutions based on the pragmatic cases,available literature,and the 3D city model developed that could be sufficient in contriving the objectives of the common public usage and open business models.To demonstrate this approach,the paper encapsulated the low-cost development of virtual 3D city model using publicly available cadastral data and web services.
基金This research has been funded,in part,by the U.S.National Science Foundation(Directorate for Social,Behavioral and Economic Sciences)award#1416860 to the City University of New York,the Population Council,the National Center for Atmospheric Research and the University of Colorado at BoulderIt has been supported,in part,by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under Award Number P2CHD066613+1 种基金Furthermore,this work has been funded,in part,by an Andrew Carnegie Fellowship(#G-F-16-53680)from the Carnegie Corporation of New York to D.BalkInnovative Seed Grant funding from the University of Colorado,support through Earth Lab,a University of Colorado Boulder Grand Challenge Initiative,as well as a development grant received from the University of Colorado Population Center(CUPC)at the Institute of Behavioral Science(University of Colorado Boulder),are acknowledged.
文摘There is an increasing availability of geospatial data describing patterns of human settlement and population such as various global remote-sensing based built-up land layers,fine-grained census-based population estimates,and publicly available cadastral and building footprint data.This development constitutes new integrative modeling opportunities to characterize the continuum of urban,peri-urban,and rural settlements and populations.However,little research has been done regarding the agreement between such data products in measuring human presence which is measured by different proxy variables(i.e.presence of built-up structures derived from different remote sensors,census-derived population counts,or cadastral land parcels).In this work,we quantitatively evaluate and cross-compare the ability of such data to model the urban continuum,using a unique,integrated validation database of cadastral and building footprint data,U.S.census data,and three different versions of the Global Human Settlement Layer(GHSL)derived from remotely sensed data.We identify advantages and shortcomings of these data types across different geographic settings in the U.S.,which will inform future data users on implications of data accuracy and suitability for a given application,even in data-poor regions of the world.
