Parameter Unit Source(s) Network name Observation network Station name Observation network City Observation network County Observation network State Observation network Latitude Decimal Observation network degrees Longitude Decimal Observation network degrees First observation year Observation network Last observation year Observation network Temporal sampling Observation network frequency Land use/land cover Observation network/ NLCD
2006 Number of sampling Observation network depths Depth of each sample cm Observation network Percent sand/ % Observation silt/clay (a) network/SSURGO Soil texture class (a) Observation network/SSURGO Saturated hydraulic [micro]m Observation conductivity (a) [s.
To determine the vegetation class for each scrub-jay detection, we overlaid detection points on top of the NLCD
raster file and noted the number of detections that fell within juniper-oak woodland and shrub-scrub plains classification.
In Detroit, the 2009 satellite-derived LST image--corrected for atmospheric effects and spatial variations in emissivity--as well as the SI image from the 2006 NLCD
might be suitable to represent air temperature variability between sites for heat exposure studies in the region or for targeting heat-health interventions.
2]) MILLDEN Sawmill survey Land cover and land use Tree canopy (%) CANOPY NLCD
, percent canopy Impervious surface (%) ISA NLCD
, percent impervious Developed (%) DEVELOP NLCD
, land cover Farmland (%) FARM NLCD
, land cover Open water (%) WATER NLCD
, land cover Urban land (%) URBAN USGS, urban land Population density (people [mi.
The source dataset was converted from a vector format to a 30-meter resolution raster dataset for comparison to the GIRAS and NLCD
We used robust Poisson models to estimate prevalence ratios (Deddens and Petersen 2008) for the cooccurrence of two dichotomous heat risk-related measures: whether at least half of a subpopulation of a census block group lived in census blocks with no tree canopy reported in the NLCD
and at least half of a subpopulation of a census block group lived in census blocks with at least 50% impervious surface.
Figure 2 displays the comparison of impervious cover "predicted" by the best-performing regression model to the "actual" imperviousness measured by the 2006 NLCD
2001 raster was reclassified using the calculated transmission fractions for hardwood and softwood forest cover-types for each month.
In the 2001 NLCD
land cover data, many rural and suburban roads are classified as developed open space.
maps are used to initialize the land-use conditions in the region of interest.
We used the NLCD
land cover data to classify natural habitat types (scrub/shrub, grassland/herbaceous, and woodland) that were not identified in the SCAG layer.
This model was applied to the Park and data for each class of land cover were extracted from raster layers provided by the Adirondack Park Agency and Adirondack GIS Users Group, vector and raster layers provided by the Wildlife Conservation Society, and the USGS NLCD
2001 raster for the Adirondack Park.