George Xian (Former Employee)
Science and Products
Filter Total Items: 77
Dynamic modeling of Tampa Bay urban development using parallel computing 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...
Authors
G. Xian, M. Crane, D. Steinwand
Assessments of urban growth in the Tampa Bay watershed using remote sensing data 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...
Authors
G. Xian, M. Crane
Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data 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
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 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...
Authors
George Z. Xian, Zhiliang Zhu, Michael Hoppus, Michael Fleming
Landsat-7 reveals more than just surface features in remote areas of the globe Landsat-7 reveals more than just surface features in remote areas of the globe
No abstract available.
Authors
Thomas P. DeFelice, D. J. Meyer, G. Xian, J. Christopherson, R. Cahalan
Science and Products
Filter Total Items: 77
Dynamic modeling of Tampa Bay urban development using parallel computing 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...
Authors
G. Xian, M. Crane, D. Steinwand
Assessments of urban growth in the Tampa Bay watershed using remote sensing data 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...
Authors
G. Xian, M. Crane
Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data 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
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 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...
Authors
George Z. Xian, Zhiliang Zhu, Michael Hoppus, Michael Fleming
Landsat-7 reveals more than just surface features in remote areas of the globe Landsat-7 reveals more than just surface features in remote areas of the globe
No abstract available.
Authors
Thomas P. DeFelice, D. J. Meyer, G. Xian, J. Christopherson, R. Cahalan