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TwitterDisplays dynamic message signs maintained by the Seattle Department of Transportation.
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TwitterThis image service is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 23,341 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.
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TwitterView of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.
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TwitterFlood Hatch ShapefilesIn addition to the three sets of rasters (Maximum Wave Heights, Water Surface Elevations, and DFEs) provided, separate shapefiles were also created to overlap and highlight special areas within the raster datasets produced for calculating DFEs. A flood hatch shapefile is not provided for every ACFEP level or for every region, but when it is provided, it encompasses the special areas for that level and region. The same hatch shapefile is applicable for all datatypes for the particular level and region. Flood hatch shapefiles encompass all areas of special values within the data rasters (including areas of 9999, 9998, and 9997 values). All regions have a 0.1% ACFEP level flood hatch shapefile because all 0.1% ACFEP rasters contain 9999 values.The flood hatch shapefiles contain individual polygons that describe the type of special area underlying that polygon’s spatial extent. For 9999 and 9998 values in the value rasters (water surface elevations, waves, and DFEs), the special hatched polygons will have the same extent of those values within those rasters. For 9997 values in the value rasters, the hatch polygon will always encompass the 9997 values, but may be larger in extent than just the location of those value cells. For these areas, water surface elevation, wave heights, and DFEs values may be provided, but they still represent a special zone.The Hatch polygons have 5 fields (Column headers) that describe each polygon within the shapefile. These fields include FID, Shape, Hatch_Type, Zones_txt, Hatch, and Hatch_Txt. The FID field contains an ID number for each polygon within that shapefile, while the Shape fieldlists the type of shapefile contained (polygon in all cases). The Hatch_Type field contains the numerical value that can be found within the value rasters (wave height, water surface, and DFE) underlying that polygon. Zones_txt and Hatch_txt are string type fields that contain descriptors of the polygon type, while the Hatch Field contains a numerical value for the type of hatching (1 for 0.1% Edge Zone, 2 for Wave Overtopping Zones, 3 for Dynamic Zone). The following table is an example of what a flood hatch file’s attribute table might look like.FIDShapeHatch_TypeZones_TxtHatchHatch_Txt0Polygon9999Shallow water flooding during extreme storms10.1% Edge Zone1Polygon9997Influenced by wave overtopping (incl. 9997 areas)2Wave Overtopping Zone2Polygon9998Dynamic Landform Areas3Dynamic ZoneSpecifically, the various hatch shapefiles can be defined as follows:• FID 0 Hatch Type – These represent areas of shallow water flooding during extreme storms. These are locations where flooding can only be expected during the most extreme events (> 1000-year return period) or where there are only minor flood depths (shallow flooding) during 1000-year return period AEP. These values only appear in 0.1% ACFEP level since they only occur at the very upper extent of extreme flooding. Water surface elevation values in these regions can be set to 0.1 foot above the site-specific land elevation to provide an estimate of the water surface elevation. Site-specific survey information may be needed to determine the land elevation. These hatch areas directly match areas with 9999 values within the rasters.• FID 1 Hatch Type – These represent wave overtopping zones. These hatch layers encompass the 9997 areas, but also include areas that have known values. Hatched areas of this type covering 9997 values would be expected to experience flooding caused by intermittent wave spray and overtopping only. Hatched areas of this type covering locations with values indicate that the flooding is caused by both direct sheet flow and wave overtopping. These hatched zones are provided for informational purposes by identifying zones that may require special design considerations for wave overtopping. Site-specific coastal processes analysis may also be required in these areas.• FID 2 Hatch Type – These represent areas where geomorphology is extremely dynamic and as such expected flooding may vary drastically. These values can appear in any ACFEP level. There are minimal locations of this type. These hatch areas directly match areas with 9998 values within the rasters.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data Type: Dynamic. Vintage: Current.Generated for Jefferson County Open Data. The Master Address data set is a collection of the known addresses in Jefferson County, Colorado. Address data are maintained by the Jefferson County ITS GIS Division. Notification of change to the address data set come from the county (unincorporated) and municipalities (incorporated).
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TwitterView of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.
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TwitterThe State of Alaska Department of Natural Resources, Division of Forestry (DOF), contracted Terra Verde, Inc. (TVI), to construct a comprehensive and fully integrated forestland inventory for state lands encompassed by the geographic area known as the Kenai Peninsula. This project commenced in mid-2023 and will be referred to as the 2024 Kenai Inventory Project.
Approximately 3,800 timber inventory plots were installed across the area of interest in order to develop stand level metrics on tree size, tree species and commercial timber volume.
This inventory effort provides the spatial distribution, composition, and metrics of the forest today and enables us to analyze and project tomorrow’s forest with increased confidence. This inventory provides DOF decision makers with the reliable, defensible datasets to enable accurate, detailed management planning and projections.
The forest industry in Alaska is becoming more dynamic and migrating to the management of integrated natural resources. With this inventory we now have the ability to analyze the intrinsic value these forestlands present for many other considerations such as wildlife, fisheries, cultural conservation, carbon sequestration, and alternative energy opportunities.
This forestland inventory of available and potential forest resources on the Kenai Peninsula is the most robust and complete in-place stand based inventory effort in this area of the state.
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TwitterUSDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 50 centimeter ground resolution, image cast to the customer specified projection and datum defined in the Spatial Reference Information section of this metadata document. The overedge is included to facilitate tonal matching for mosaicking and ensure full coverage if the imagery is reprojected. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south.
DigitalGlobe WorldView-2 Satellite Orthoimagery was delivered to USDA in GeoTIFF file format. USDA-NRCS-NGMC processed the DigitalGlobe delivered WorldView-2 (WV-2) Multi-Spectral/Pan data bundle to produce an 8 Band, 16 Bit Pan-Sharpen Mosaic using ERDAS 2011. Bands 2, 3 & 4 were subset from the 8 band, 16-bit mosaic to create a natural color (RGB) mosaic.The resulting mosaic was rescaled from 16-bit to 8-bit depth using ERDAS 2011. The image contrast level was adjusted using the Breakpoint editor and breakpoints were saved and applied to the LUT stretched output file. LizardTech GeoExpress 8 was used to create a compressed Generation 3 MrSID from the RGB mosaic. The MrSID compressed file is delivered with a separate FGDC compliant metadata file. The composite file contains the following three Multi-Spectral bands: Band 2: Blue (450 - 510 nm) Band 3: Green (510 - 580 nm) Band 4: Yellow (585 - 625 nm)
For additional information, please contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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TwitterThis image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 23,341 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.
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TwitterUSDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 50 centimeter ground resolution, image cast to the customer specified projection and datum defined in the Spatial Reference Information section of this metadata document. The overedge is included to facilitate tonal matching for mosaicking and ensure full coverage if the imagery is reprojected. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south.
DigitalGlobe WorldView-2 Satellite Orthoimagery was delivered to USDA in GeoTIFF file format. USDA-NRCS-NGMC processed the DigitalGlobe delivered WorldView-2 (WV-2) Multi-Spectral/Pan data bundle to produce a pan sharpen, 3 bands product (Natural Color). The individual sections were rescaled to 8-bit and the statistics were recalculated before merging into a seamless 8-bit full island mosaic. Bands 2, 3 & 4 were subset from the 8 band, 16-bit mosaic to create a natural color (RGB) mosaic.The resulting mosaic was rescaled from 16-bit to 8-bit depth using ERDAS 2011. The image contrast level was adjusted using the Breakpoint editor and breakpoints were saved and applied to the LUT stretched output file. LizardTech GeoExpress 8 was used to create a compressed Generation 3 MrSID from the RGB mosaic. The MrSID compressed file is delivered with a separate FGDC compliant metadata file. The composite file contains the following three Multi-Spectral bands: Band 2: Blue (450 - 510 nm) Band 3: Green (510 - 580 nm) Band 4: Yellow (585 - 625 nm)
For additional information, please contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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TwitterThis layer is part of Hamilton City Council's Wastewater Dataset.
If you wish to download and consume this entire
dataset - click on the link for the file format(s) of your choosing:
Please note that the links above may change at any time. For best practice, please refer to this page for the correct links.
If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz.
This Wastewater dataset contains the following layers:
Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download.
This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz
Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.
Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.
While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:
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TwitterThis image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 23,341 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.
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TwitterView of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.
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The Global Partial Discharge Monitoring Systems Market is projected to reach USD 920.4M by 2034, driven by high-voltage equipment monitoring and predictive maintenance.
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TwitterThis image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 6,131 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 6.16(USD Billion) |
| MARKET SIZE 2025 | 6.45(USD Billion) |
| MARKET SIZE 2035 | 10.2(USD Billion) |
| SEGMENTS COVERED | Application, End Use, Installation Type, Voltage Rating, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | Rising urbanization and infrastructure development, Increasing demand for renewable energy, Need for grid reliability and stability, Technological advancements in switchgear, Government initiatives for electrical safety |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Emerson, Schneider Electric, Mersen, Toshiba, Crompton Greaves, Mitsubishi Electric, Nissin Electric, Hitachi Energy, Siemens, ABB, GE Grid Solutions, Mitsubishi Heavy Industries, L&T, Hyundai Electric, Eaton |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Increasing renewable energy integration, Urban infrastructure development, Aging electrical grid modernization, Demand for space-saving solutions, Expansion in emerging markets |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 4.7% (2025 - 2035) |
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TwitterView of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.
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TwitterUSDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 50 centimeter ground resolution, image cast to the customer specified projection and datum defined in the Spatial Reference Information section of this metadata document. The overedge is included to facilitate tonal matching for mosaicking and ensure full coverage if the imagery is reprojected. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south.
DigitalGlobe WorldView-2 Satellite Orthoimagery was delivered to USDA in GeoTIFF file format. USDA-NRCS-NGMC processed the DigitalGlobe delivered WorldView-2 (WV-2) Multi-Spectral/Pan data bundle to produce an 8 Band, 16 Bit Pan-Sharpen Mosaic using ERDAS 2011. Bands 2, 3 & 4 were subset from the 8 band, 16-bit mosaic to create a natural color (RGB) mosaic.The resulting mosaic was rescaled from 16-bit to 8-bit depth using ERDAS 2011. The image contrast level was adjusted using the Breakpoint editor and breakpoints were saved and applied to the LUT stretched output file. LizardTech GeoExpress 8 was used to create a compressed Generation 3 MrSID from the RGB mosaic. The MrSID compressed file is delivered with a separate FGDC compliant metadata file. The composite file contains the following three Multi-Spectral bands: Band 2: Blue (450 - 510 nm) Band 3: Green (510 - 580 nm) Band 4: Yellow (585 - 625 nm)
For additional information, please contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Discover the booming Cubicle-type Gas Insulated Switchgears (C-GIS) market! This in-depth analysis reveals key growth drivers, market size projections, leading companies, and regional trends shaping the future of power distribution. Explore CAGR, market segmentation, and challenges facing this dynamic sector.
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TwitterThese data are used to display the public recreational facilities at all Colorado Parks and Wildlife owned properties. The original intent of these data were to show facilities at a park level scale. Over time, this has evolved to be a more comprehensive collection of all recreation facilities - as GIS technology has advanced to allow improved labelling / display of features. Data is being compiled at CPW Area offices in consultation with local Property Technicians and Field Ops staff using high resolution aerial photography (NAIP05, NAIP09) as a reference and at a scale where structures could be visually identified by Chris Johnson. These data were originally combined from individual park shapefiles in 2010 by Bill Gaertner, under the direction of Matt Schulz, Parks GIS Coordinator. Since then, Eric Drummond, temp Trails GIS Specialist, vastly improved upon the ability to use a unique CPW font and the Maplex label engine to have dynamic labelling of standard recreation facility symbols.
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TwitterDisplays dynamic message signs maintained by the Seattle Department of Transportation.