Filters: Tags: Urban areas (X)10 results (222ms)
Used in the national level analysis of the Mining and Critical Ecosystems project for the country of Papua New Guinea.
Derived from 2002-2003 MODIS satellite data at 1 km resolution.
Six geographic datasets were used for the compilation of an inventory of seven major land cover/land use categories at 5 degree resolution. The datasets used are: 1. GLC2000 land cover database at 30 arc-sec (http://www-gvm.jrc.it/glc2000), using regional and global legends; 2. an IFPRI global land cover categorization providing 17 land cover classes at 30 arc-sec. (IFPRI, 2002), based on a reinterpretation of the Global Land Cover Characteristics Database (GLCC ver. 2.0), EROS Data Centre (EDC, 2000); 3. FAOs Global Forest Resources Assessment 2000 (FAO, 2001) at 30 arc-sec. resolution; 4. digital Global Map of Irrigated Areas (GMIA) version 4.0 of (FAO/University of Frankfurt) at 5 by 5 latitude/longitude resolution,...
Data supporting the study of increasing floodplain connectivity through urban stream restoration increases nutrient and sediment retention, 2012-2013
This data set presents ecosystem geomorphic and soil attributes, sediment and nutrient loading rates, and rates of nutrient biogeochemistry processes, including denitrification and N and P mineralization, in floodplains of urban restored streams. The restored streams were located in the Charlotte, North Carolina, metropolitan area and were studied from 2012-2013.
World Urban Areas represents the world's major urban areas with populations greater than 10,000. Source: DeLorme Publishing Company, Inc.
U.S. national categorical mapping of building heights by block group from Shuttle Radar Topography Mission data
This dataset is a categorical mapping of estimated mean building heights, by Census block group, in shapefile format for the conterminous United States. The data were derived from the NASA Shuttle Radar Topography Mission, which collected “first return” (top of canopy and buildings) radar data at 30-m resolution in February, 2000 aboard the Space Shuttle Endeavor. These data were processed here to estimate building heights nationally, and then aggregated to block group boundaries. The block groups were then categorized into six classes, ranging from “Low” to “Very High”, based on the mean and standard deviation breakpoints of the data. The data were evaluated in several ways, to include comparing them to a reference...
This U.S. Geological Survey data release contains datasets that combine past data with future projections of nitrogen sources and nitrogen export to the Chesapeake Bay watershed for the years 1950-2050. To help understand the effect of human and environmental changes over this time period, data for nitrogen sources from wastewater, agricultural fertilizer and manure, and atmospheric deposition are combined with datasets of population and land use. These datasets were used in conjunction with a previously calibrated SPAtially Referenced Regression On Watershed attributes (SPARROW) modeling tool to estimate the mean annual loads of total nitrogen to the Chesapeake Bay and nontidal stream reaches in the watershed at...
Possible OHV Areas within 2 Hours of Urban Centers over 20,000 in population. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
Proximity of specially designated areas to urban areas. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
The Southern Megalopolis: Using the Past to Predict the Future of Urban Sprawl in the Southeast U.S.
Abstract (from http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0102261): The future health of ecosystems is arguably as dependent on urban sprawl as it is on human-caused climatic warming. Urban sprawl strongly impacts the urban ecosystems it creates and the natural and agro-ecosystems that it displaces and fragments. Here, we project urban sprawl changes for the next 50 years for the fast-growing Southeast U.S. Previous studies have focused on modeling population density, but the urban extent is arguably as important as population density per se in terms of its ecological and conservation impacts. We develop simulations using the SLEUTH urban growth model that complement population-driven models...