George Xian
Dr. George Xian is a research physical scientist with the U.S. Geological Survey, Earth Resources Observation and Science Center. He researches the national land cover data development, land cover change, and land cover change impacts on climate and ecosystems using remote sensing information.
George has specialized in using multi-type remote sensing data to characterize land change and change assessment across the United States. He has also used Landsat thermal information to study urban thermal landscape change by collaborating with other researchers from U.S. Global Change Research Program and universities. He also has participated in the development of U.S. Fifth National Climate Assessment.
Science and Products
Filter Total Items: 73
Satellite remotely-sensed land surface parameters and their climatic effects for three metropolitan regions
By using both high-resolution orthoimagery and medium-resolution Landsat satellite imagery with other geospatial information, several land surface parameters including impervious surfaces and land surface temperatures for three geographically distinct urban areas in the United States – Seattle, Washington, Tampa Bay, Florida, and Las Vegas, Nevada, are obtained. Percent impervious surface is used
Authors
George Xian
Quantifying multi-temporal urban development characteristics in Las Vegas from Landsat and ASTER data
Urban development has expanded rapidly in Las Vegas, Nevada of the United States, over the last fifty years. A major environmental change associated with this urbanization trend is the transformation of the landscape from natural cover types to increasingly anthropogenic impervious surface. This research utilizes remote sensing data from both the Landsat and Terra-Advanced Spaceborne Thermal Emiss
Authors
G. Xian, M. Crane, C. McMahon
Assessing urban growth with subpixel impervious surface coverage
No abstract available.
Authors
G. Xian
An analysis of urban development and its environmental impact on the Tampa Bay watershed
Urbanization has transformed natural landscapes into anthropogenic impervious surfaces. Urban land use has become a major driving force for land cover and land use change in the Tampa Bay watershed of west-central Florida. This study investigates urban land use change and its impact on the watershed. The spatial and temporal changes, as well as the development density of urban land use are determi
Authors
G. Xian, M. Crane, J. Su
Analysis of impacts of urban land use and land cover on air quality in the Las Vegas region using remote sensing information and ground observations
Urban development in the Las Vegas Valley of Nevada (USA) has expanded rapidly over the past 50 years. The air quality in the valley has suffered owing to increases from anthropogenic emissions of carbon monoxide, ozone and criteria pollutants of particular matter. Air quality observations show that pollutant concentrations have apparent heterogeneous characteristics in the urban area. Quantified
Authors
G. Xian
Mapping impervious surfaces using classification and regression tree algorithm
No abstract available.
Authors
G. Xian
The study of ozone variations in the Las Vegas metropolitan area using remote sensing information and ground observations
Urban development in the Las Vegas Valley, Nevada, has grown rapidly in the past fifty years. Associated with this growth has been a change in landscape from natural cover types to developed urban land mixed with planned vegetation canopy throughout in the metropolitan area. Air quality in the Las Vegas Valley has been affected by increases in anthropogenic emissions and concentrations of carbon m
Authors
G. Xian, M. Crane
An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data
Remote sensing data from both Landsat 5 and Landsat 7 systems were utilized to assess urban area thermal characteristics in Tampa Bay watershed of west-central Florida, and the Las Vegas valley of southern Nevada. To quantitatively determine urban land use extents and development densities, sub-pixel impervious surface areas were mapped for both areas. The urban–rural boundaries and urban developm
Authors
George Xian, Mike Crane
Dynamic modeling of Tampa Bay urban development using parallel computing
Urban land use and land cover has changed significantly in the environs of Tampa Bay, Florida, over the past 50 years. Extensive urbanization has created substantial change to the region's landscape and ecosystems. This paper uses a dynamic urban-growth model, SLEUTH, which applies six geospatial data themes (slope, land use, exclusion, urban extent, transportation, hillside), to study the process
Authors
G. Xian, M. Crane, D. Steinwand
Assessments of urban growth in the Tampa Bay watershed using remote sensing data
Urban development has expanded rapidly in the Tampa Bay area of west-central Florida over the past century. A major effect associated with this population trend is transformation of the landscape from natural cover types to increasingly impervious urban land. This research utilizes an innovative approach for mapping urban extent and its changes through determining impervious surfaces from Landsat
Authors
G. Xian, M. Crane
Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data
We developed a Sub-pixel Imperviousness Change Detection (SICD) approach to detect urban land-cover changes using Landsat and high-resolution imagery. The sub-pixel percent imperviousness was mapped for two dates (09 March 1993 and 11 March 2001) over western Georgia using a regression tree algorithm. The accuracy of the predicted imperviousness was reasonable based on a comparison using independe
Authors
Limin Yang, George Z. Xian, Jacqueline M. Klaver, Brian Deal
Application of decision-tree techniques to forest group and basal area mapping using satellite imagery and forest inventory data
Accurate, current, and cost-effective fire fuel data are required by management and fire science communities for use in reducing wildland fire hazards over large areas. In this paper we present results of applying decision-tree techniques to mapping vegetation parameters (such as vegetation types and canopy structure classification) required for fire fuel characterization. Specifically, we present
Authors
George Z. Xian, Zhiliang Zhu, Michael Hoppus, Michael Fleming
Science and Products
Filter Total Items: 73
Satellite remotely-sensed land surface parameters and their climatic effects for three metropolitan regions
By using both high-resolution orthoimagery and medium-resolution Landsat satellite imagery with other geospatial information, several land surface parameters including impervious surfaces and land surface temperatures for three geographically distinct urban areas in the United States – Seattle, Washington, Tampa Bay, Florida, and Las Vegas, Nevada, are obtained. Percent impervious surface is used
Authors
George Xian
Quantifying multi-temporal urban development characteristics in Las Vegas from Landsat and ASTER data
Urban development has expanded rapidly in Las Vegas, Nevada of the United States, over the last fifty years. A major environmental change associated with this urbanization trend is the transformation of the landscape from natural cover types to increasingly anthropogenic impervious surface. This research utilizes remote sensing data from both the Landsat and Terra-Advanced Spaceborne Thermal Emiss
Authors
G. Xian, M. Crane, C. McMahon
Assessing urban growth with subpixel impervious surface coverage
No abstract available.
Authors
G. Xian
An analysis of urban development and its environmental impact on the Tampa Bay watershed
Urbanization has transformed natural landscapes into anthropogenic impervious surfaces. Urban land use has become a major driving force for land cover and land use change in the Tampa Bay watershed of west-central Florida. This study investigates urban land use change and its impact on the watershed. The spatial and temporal changes, as well as the development density of urban land use are determi
Authors
G. Xian, M. Crane, J. Su
Analysis of impacts of urban land use and land cover on air quality in the Las Vegas region using remote sensing information and ground observations
Urban development in the Las Vegas Valley of Nevada (USA) has expanded rapidly over the past 50 years. The air quality in the valley has suffered owing to increases from anthropogenic emissions of carbon monoxide, ozone and criteria pollutants of particular matter. Air quality observations show that pollutant concentrations have apparent heterogeneous characteristics in the urban area. Quantified
Authors
G. Xian
Mapping impervious surfaces using classification and regression tree algorithm
No abstract available.
Authors
G. Xian
The study of ozone variations in the Las Vegas metropolitan area using remote sensing information and ground observations
Urban development in the Las Vegas Valley, Nevada, has grown rapidly in the past fifty years. Associated with this growth has been a change in landscape from natural cover types to developed urban land mixed with planned vegetation canopy throughout in the metropolitan area. Air quality in the Las Vegas Valley has been affected by increases in anthropogenic emissions and concentrations of carbon m
Authors
G. Xian, M. Crane
An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data
Remote sensing data from both Landsat 5 and Landsat 7 systems were utilized to assess urban area thermal characteristics in Tampa Bay watershed of west-central Florida, and the Las Vegas valley of southern Nevada. To quantitatively determine urban land use extents and development densities, sub-pixel impervious surface areas were mapped for both areas. The urban–rural boundaries and urban developm
Authors
George Xian, Mike Crane
Dynamic modeling of Tampa Bay urban development using parallel computing
Urban land use and land cover has changed significantly in the environs of Tampa Bay, Florida, over the past 50 years. Extensive urbanization has created substantial change to the region's landscape and ecosystems. This paper uses a dynamic urban-growth model, SLEUTH, which applies six geospatial data themes (slope, land use, exclusion, urban extent, transportation, hillside), to study the process
Authors
G. Xian, M. Crane, D. Steinwand
Assessments of urban growth in the Tampa Bay watershed using remote sensing data
Urban development has expanded rapidly in the Tampa Bay area of west-central Florida over the past century. A major effect associated with this population trend is transformation of the landscape from natural cover types to increasingly impervious urban land. This research utilizes an innovative approach for mapping urban extent and its changes through determining impervious surfaces from Landsat
Authors
G. Xian, M. Crane
Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data
We developed a Sub-pixel Imperviousness Change Detection (SICD) approach to detect urban land-cover changes using Landsat and high-resolution imagery. The sub-pixel percent imperviousness was mapped for two dates (09 March 1993 and 11 March 2001) over western Georgia using a regression tree algorithm. The accuracy of the predicted imperviousness was reasonable based on a comparison using independe
Authors
Limin Yang, George Z. Xian, Jacqueline M. Klaver, Brian Deal
Application of decision-tree techniques to forest group and basal area mapping using satellite imagery and forest inventory data
Accurate, current, and cost-effective fire fuel data are required by management and fire science communities for use in reducing wildland fire hazards over large areas. In this paper we present results of applying decision-tree techniques to mapping vegetation parameters (such as vegetation types and canopy structure classification) required for fire fuel characterization. Specifically, we present
Authors
George Z. Xian, Zhiliang Zhu, Michael Hoppus, Michael Fleming