Current Search: City planning -- Remote sensing (x)
-
-
Title
-
An analysis of the utility of a normalized difference vegetation index for inventorying urban greenspace.
-
Creator
-
Dobbs, Thomas J., Florida Atlantic University, Roberts, Charles
-
Abstract/Description
-
Satellite derived vegetative data of urban areas is normally classified into several classes of trees, fields, grass and bare soil using unsupervised and supervised classification methods. Normalized Difference Vegetation Indexes (NDVI) have traditionally been applied to agricultural satellite images to assess the health and maturity of commercial crops. When a NDVI is used to examine urban vegetation, many discrete data values are generated which can be differentiated into meaningful...
Show moreSatellite derived vegetative data of urban areas is normally classified into several classes of trees, fields, grass and bare soil using unsupervised and supervised classification methods. Normalized Difference Vegetation Indexes (NDVI) have traditionally been applied to agricultural satellite images to assess the health and maturity of commercial crops. When a NDVI is used to examine urban vegetation, many discrete data values are generated which can be differentiated into meaningful vegetation classes.
Show less
-
Date Issued
-
1997
-
PURL
-
http://purl.flvc.org/fcla/dt/15410
-
Subject Headings
-
Greenways, Vegetation mapping--Remote sensing, Land use, Urban, Trees in cities, City planning, Urban forestry
-
Format
-
Document (PDF)
-
-
Title
-
High Resolution Population Distribution Estimates for Improved Decision Making, With a Case Study of Sea-Level Rise Vulnerability in Boca Raton, Florida.
-
Creator
-
Ziegler, Hannes Moritz, Xie, Zhixiao, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
-
Abstract/Description
-
Planners and managers often rely on coarse population distribution data from the census for addressing various social, economic, and environmental problems. In the analysis of physical vulnerabilities to sea-level rise, census units such as blocks or block groups are coarse relative to the required decision-making application. This study explores the benefits offered from integrating image classification and dasymetric mapping at the household level to provide detailed small area population...
Show morePlanners and managers often rely on coarse population distribution data from the census for addressing various social, economic, and environmental problems. In the analysis of physical vulnerabilities to sea-level rise, census units such as blocks or block groups are coarse relative to the required decision-making application. This study explores the benefits offered from integrating image classification and dasymetric mapping at the household level to provide detailed small area population estimates at the scale of residential buildings. In a case study of Boca Raton, FL, a sea-level rise inundation grid based on mapping methods by NOAA is overlaid on the highly detailed population distribution data to identify vulnerable residences and estimate population displacement. The enhanced spatial detail offered through this method has the potential to better guide targeted strategies for future development, mitigation, and adaptation efforts.
Show less
-
Date Issued
-
2016
-
PURL
-
http://purl.flvc.org/fau/fd/FA00004670
-
Subject Headings
-
City planning -- Remote sensing, Community development, Urban -- Florida -- Boca Raton, Geographic information systems, Population -- Geographic information systems -- Florida -- Boca Raton, egional planning -- Florida -- Boca Raton, Spatial analysis (Statistics), Urban geography -- Remote sensing
-
Format
-
Document (PDF)
