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Jefferson County KY Urban Heat Management Study
Click <a href='https://louisvilleky.gov/government/sustainability/urban-heat-island-project' target='_blank'>here</a> to view the Metro Office of Sustainability web site about this study and <a href='https://louisvilleky.gov/sites/default/files/sustainability/pdf_files/louisville_heat_mgt_report_final_web.pdf' target='_blank'>here</a> to view the complete report.<br /><br />This data includes a land cover assessment for implementing the various scenarios that impact temperatures across Louisville. These include, by ½ kilometer grid cell, the percentage of deciduous forest, coniferous forest, mixed forest, grass, shrubbery, cropland, pastureland, barren land, impervious residential properties, impervious nonresidential properties, impervious streets, impervious surfaces at airports, other impervious surfaces, wooded wetland, wetland, and water. The data also show the mean average, minimum and maximum temperatures over the 2012 warm season (May – September), the number of deaths attributable to urban heat over the 2012 warm season, and the estimated avoided deaths that would be achieved by implementing the heat management scenarios. This data is available at the district level and not the entire county due to a lack of availabile health data due to small population within those cells.The distribution of grid cells is also included in the dataset, which covers Jefferson County, Kentucky. All data is presented in GIS format.Two sources of information were used to map land surface materials across Louisville. Parcel, roadway and other impervious surface information was provided by the Louisville/Jefferson County Information Consortium (LOJIC). Satellite-measured land use information was obtained from the US Geological Survey (USGS).<br /><div><br /><div><b>Attribute Definitions:</b><br /><div><p style='margin-bottom:0in;margin-bottom:.0001pt;line-height:
normal'></p><ul><li>X: X coordinate of polygon vertex<br /></li><li>Y: Y coordinate of polygon vertex<br /></li><li>CELL_A: Grid cell area in square meters<br /></li><li>KEYID: Unique identification code assigned to each grid cell<br /></li><li>Heat_Death: Total number of heat related deaths over the 2012 warm
season (May - September<br /></li><li>WS_B_ApAvg: The mean average apparent temperature over 2012 warm season
(May - September<br /></li><li>WS_B_ApMin: The mean minimum apparent temperature over 2012 warm season
(May - September<br /></li><li>WS_B_ApMax: The mean maximum apparent temperature over 2012 warm season
(May - September<br /></li><li>Base_UHI: Number of heat related deaths attributable to the urban heat island
over the 2012 warm season (May - September<br /></li><li>CC_FST_DEC: Current Conditions Scenario percentage of deciduous forest
in grid cell<br /></li><li>CC_FST_CON: Current Conditions Scenario percentage of coniferous forest
in grid cell<br /></li><li>CC_FST_MIX: Current Conditions Scenario percentage of mixed forest in
grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its
own unique land cover<br /></li><li>CC_GRASS: Current Conditions Scenario percentage of grass in grid cell<br /></li><li>CC_SHRUB: Current Conditions Scenario percentage of shrub in grid cell <br /></li><li>CC_PASTURE: Current Conditions Scenario percentage of pasture in grid
cell<br /></li><li>CC_CROP: Current Conditions Scenario percentage of crop in grid<br /></li><li>CC_BARREN: Current Conditions Scenario percentage of barren in grid
cell<br /></li><li>CC_IPV_RS: Current Conditions Scenario percentage of impervious
residential in grid cell<br /></li><li>CC_IPV_NRS: Current Conditions Scenario percentage of impervious
nonresidential in grid cell<br /></li><li>CC_IPV_ST: Current Conditions Scenario percentage of impervious street
in grid cell<br /></li><li>CC_IPV_OTH: Current Conditions Scenario percentage of impervious other
in grid cell (all remaining impervious cover not included in ‘IPV_RS’,
‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)<br /></li><li>CC_IPV_AP: Current Conditions Scenario percentage of impervious airport
in grid cell<br /></li><li>CC_IPV_WLW: Current Conditions Scenario percentage of wooded wetland
areas in grid cell<br /></li><li>CC_IPV_WL: Current Conditions Scenario percentage of wetland in grid
cell<br /></li><li>CC_IPV_WTR: Current Conditions Scenario percentage of water in grid
cell<br /></li><li>CM_FST_DEC: Cool Materials Scenario percentage of deciduous forest in
grid cell<br /></li><li>CM_FST_CON: Cool Materials Scenario percentage of coniferous forest in
grid cell<br /></li><li>CM_FST_MIX: Cool Materials Scenario percentage of mixed forest in grid
cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own
unique land cover)<br /></li><li>CM_GRASS: Cool Materials Scenario percentage of grass in grid cell<br /></li><li>CM_SHRUB: Cool Materials Scenario percentage of shrub in grid cell<br /></li><li>CM_PASTURE: Cool Materials Scenario percentage of shrub in grid cell<br /></li><li>CM_CROP: Cool Materials Scenario percentage of crop in grid cell<br /></li><li>CM_BARREN: Cool Materials Scenario percentage of barren in grid cell<br /></li><li>CM_IPV_RS: Cool Materials Scenario percentage of impervious residential
in grid cell<br /></li><li>CM_IPV_NRS: Cool Materials Scenario percentage of impervious
nonresidential in grid cell<br /></li><li>CM_IPV_ST: Cool Materials Scenario percentage of impervious street in
grid cell<br /></li><li>CM_IPV_OTH: Cool Materials Scenario percentage of impervious other in
grid cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’,
‘IPV_ST’, and ‘IPV_AP’)<br /></li><li>CM_IPV_AP: Cool Materials Scenario percentage of impervious airport in
grid cell<br /></li><li>CM_IPV_WLW: Cool Materials Scenario percentage of wooded wetland areas
in grid cell<br /></li><li>CM_IPV_WL: Cool Materials Scenario percentage of wetland in grid cell<br /></li><li>CM_IPV_WTR: Cool Materials Scenario percentage of water in grid cell<br /></li><li>CS_FST_DEC: Combined Strategies Scenario percentage of deciduous forest
in grid cell<br /></li><li>CS_FST_CON: Combined Strategies Scenario percentage of coniferous
forest in grid cell<br /></li><li>CS_FST_MIX: Combined Strategies Scenario percentage of mixed forest in
grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its
own unique land cover)<br /></li><li>CS_GRASS: Combined Strategies Scenario percentage of grass in grid cell<br /></li><li>CS_SHRUB: Combined Strategies Scenario percentage of shrub in grid cell<br /></li><li>CS_PASTURE: Combined Strategies Scenario percentage of pasture in grid
cell<br /></li><li>CS_CROP: Combined Strategies Scenario percentage of crop in grid cell<br /></li><li>CS_BARREN: Combined Strategies Scenario percentage of barren in grid
cell<br /></li><li>CS_IPV_RS: Combined Strategies Scenario percentage of impervious
residential in grid cell<br /></li><li>CS_IPV_NRS: Combined Strategies Scenario percentage of impervious
nonresidential in grid cell<br /></li><li>CS_IPV_ST: Combined Strategies Scenario percentage of impervious street
in grid cell<br /></li><li>CS_IPV_OTH: Combined Strategies Scenario percentage of impervious other
in grid cell (all remaining impervious cover not included in ‘IPV_RS’,
‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)<br /></li><li>CS_IPV_AP: Combined Strategies Scenario percentage of impervious
airport in grid cell<br /></li><li>CS_IPV_WLW: Combined Strategies Scenario percentage of wooded wetland
areas in grid cell<br /></li><li>CS_IPV_WL: Combined Strategies Scenario percentage of wooded wetland
areas in grid cell<br /></li><li>CS_IPV_WTR: Combined Strategies Scenario percentage of water in grid
cell<br /></li><li>EE_FST_DEC: Energy Efficiency Scenario percentage of deciduous forest
in grid cell<br /></li><li>EE_FST_CON: Energy Efficiency Scenario percentage of coniferous forest
in grid cell<br /></li><li>EE_FST_MIX: Energy Efficiency Scenario percentage of mixed forest in
grid cell (this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its
own unique land cover)<br /></li><li>EE_GRASS: Energy Efficiency Scenario percentage of grass in grid cell<br /></li><li>EE_SHRUB: Energy Efficiency Scenario percentage of shrub in grid cell<br /></li><li>EE_PASTURE: Energy Efficiency Scenario percentage of pasture in grid
cell<br /></li><li>EE_CROP: Energy Efficiency Scenario percentage of crop in grid cell<br /></li><li>EE_BARREN: Energy Efficiency Scenario percentage of barren in grid cell<br /></li><li>EE_IPV_RS: Energy Efficiency Scenario percentage of impervious
residential in grid cell<br /></li><li>EE_IPV_NRS: Energy Efficiency Scenario percentage of impervious
nonresidential in grid cell<br /></li><li>EE_IPV_ST: Energy Efficiency Scenario percentage of impervious street
in grid cell<br /></li><li>EE_IPV_OTH: Energy Efficiency Scenario percentage of impervious other
in grid cell (all remaining impervious cover not included in ‘IPV_RS’,
‘IPV_NRS’, ‘IPV_ST’, and ‘IPV_AP’)<br /></li><li>EE_IPV_AP: Energy Efficiency Scenario percentage of impervious airport
in grid cell<br /></li><li>EE_IPV_WLW: Energy Efficiency Scenario percentage of wooded wetland
areas in grid cell<br /></li><li>EE_IPV_WL: Energy Efficiency Scenario percentage of wetland in grid
cell<br /></li><li>EE_IPV_WTR: Energy Efficiency Scenario percentage of water in grid cell<br /></li><li>GN_FST_DEC: Greening Scenario percentage of deciduous forest in grid
cell<br /></li><li>GN_FST_CON: Greening Scenario percentage of coniferous forest in grid
cell<br /></li><li>GN_FST_MIX: Greening Scenario percentage of mixed forest in grid cell
(this is not the sum of ‘Forest_Dec’ and ‘Forest_Con’ fields, but its own
unique land cover)<br /></li><li>GN_GRASS: Greening Scenario percentage of grass in grid cell<br /></li><li>GN_SHRUB: Greening Scenario percentage of shrub in grid cell<br /></li><li>GN_PASTURE: Greening Scenario percentage of pasture in grid cell<br /></li><li>GN_CROP: Greening Scenario percentage of crop in grid cell<br /></li><li>GN_BARREN: Greening Scenario percentage of barren in grid cell<br /></li><li>GN_IPV_RS: Greening Scenario percentage of impervious residential in
grid cell<br /></li><li>GN_IPV_NRS: Greening Scenario percentage of impervious nonresidential
in grid cell<br /></li><li>GN_IPV_ST: Greening Scenario percentage of impervious street in grid
cell<br /></li><li>GN_IPV_OTH: Greening Scenario percentage of impervious other in grid
cell (all remaining impervious cover not included in ‘IPV_RS’, ‘IPV_NRS’,
‘IPV_ST’, and ‘IPV_AP’)<br /></li><li>GN_IPV_AP: Greening Scenario percentage of impervious airport in grid
cell<br /></li><li>GN_IPV_WLW: Greening Scenario percentage of wooded wetland areas in
grid cell<br /></li><li>GN_IPV_WL: Greening Scenario percentage of wetland in grid cell<br /></li><li>GN_IPV_WTR: Greening Scenario percentage of water in grid cell<br /></li></ul><div><div><b>Use for the following 4 attributes:</b></div><div>Recreate Charts from Louisville Urban Heath Management Study:</div><div>No Benefit: Minimum value - 0.0008</div><div>Low Benefit: 0.0008 - 0.0062</div><div>High Benefit: 0.0062 - Maximum value</div></div><ul><li>Av_Cool: Avoided heat deaths under the Cool Materials scenario during
May to September 2012 by ½ km2 grid cell.<br /></li><li>Av_Green: Avoided heat deaths under the Greening scenario during May to
September 2012 by ½ km2 grid cell.<br /></li><li>Av_Waste: Avoided deaths under the Energy Efficiency scenario during
May to September 2012 by ½ km2 grid cell.<br /></li><li>Av_All: Avoided deaths under the Combined Strategies scenario during
May to September 2012 by ½ km2 grid cell.<br /></li></ul><p></p>
</div></div></div>
Complete Metadata
| bureauCode |
[ "010:04", "010:86" ] |
|---|---|
| culture | en-us |
| identifier | https://www.arcgis.com/home/item.html?id=899c7ab6f86246a3b1fb48e6d495c2f9&sublayer=3 |
| issued | 2018-01-10T15:29:20.000Z |
| landingPage | https://louisville-metro-opendata-lojic.hub.arcgis.com/datasets/LOJIC::jefferson-county-ky-urban-heat-management-study |
| platform | ArcGIS Hub |
| programCode |
[ "015:001", "015:002" ] |
| spatial | -85.9571,37.9888,-85.3960,38.3890 |
| summary | Polygon grid of Jefferson County Urban Heat Management Study data |
| theme |
[ "geospatial" ] |