Electoral areas are communities outside municipal boundaries, often referred to as rural or unincorporated areas. Each electoral area is represented by a director who is elected directly to the TNRD’s Board of Directors. Electoral area residents only pay for services provided to their specific area.Electoral Area "I" (Blue Sky Country) - Detailed Map contains community locations, property ownership type and geographic references.Document Size 34"X44"Document Type: PDFUpdates: As and When RequiredLast Update: Aug 2022Link to more information: TNRD Web Site

The H1B Sponsorship Trends linear chart shows the number of H1B cases filed by Bluesky Data from 2020 to 2023, providing a clear view of filing trends over time. Alongside, the horizontal bar chart titled Distribution of Job Fields Receiving H1B Sponsorship breaks down which roles and industries are most commonly sponsored.

Surface albedo plays a critical role in climate, hydrological, and biogeochemical modeling and weather forecasting. Therefore, precisely mapping surface albedo climatology globally is necessary to better parameterize environmental systems. We generated a new global surface blue-sky actual and snow-free albedo climatology dataset from 20-year MODIS products from the Google Earth Engine (GEE).

The 500m global surface blue-sky daily albedo climatology dataset is available at .... After reprojection and aggregation, the global Climate Modeling Grid (CMG) albedo climatology datasets at 0.05° and 0.5° are available here. All of the published datasets include historical and snow-free blue-sky albedo climatology data. For application convenience, the land cover climatology of MODIS product (MCD12Q1) is also generated and attached in the CMG files. The International Geosphere-Biosphere Programme (IGBP) and PFT classification results of MCD12Q1 since 2001 were reprojected and aggregated to 0.05° and 0.5° by find mode in each aggregation group. In order to check the heterogeneity of the land cover climatology, the percentage of the dominant type in each aggregation group was also calculated.

The National Forest Inventory (NFI) woodland map covers all forest and woodland area over 0.5 hectare with a minimum of 20% canopy cover, or the potential to achieve it, and a minimum width of 20 metres. This includes areas of new planting, clearfell, windblow and restock. The woodland map excludes all 'tarmac' roads and active railways, and forest roads, rivers and powerlines where the gap in the woodland is greater than 20 meters wide. All woodland (both urban and rural), regardless of ownership, is 0.5 hectare or greater in extent, with the exception of Assumed woodland or Low density areas that can be 0.1 hectare or greater in extent. Also, in the case of woodland areas that cross the countries borders, the minimum size restriction does not apply if the overall area complies with the minimum size.Woodland less than 0.5 hectare in extent, with the exception of the areas above, will not be described within the dataset but will be included in a separate sample survey of small woodland and tree features.The woodland map is updated on an annual basis and the changes in the woodland boundaries use the Ordnance Survey MasterMap® (OSMM) as a reference where appropriate.The changes in the canopy cover have been identified on:• Sentinel 2 imagery taken during spring/summer 2018 or colour aerial orthophotography available at the time of the assessment;• New planting information for the financial year 2018/2019, from grant schemes and the sub-compartment database covering the estate of Forestry England, Forestry and Land Scotland and Natural Resources Wales;• Bluesky’s National Tree Map (NTM) dataset was used to revise woodland areas between 1 and 2 ha in England and Wales;• Woodland Carbon Code dataset was also used to revised areas of approved new planting outside the existing approved grant schemes.

The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Clear Blue Sky Group from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.

Only the first days of each month were uploaded to Zenodo due to the data storage limitation, and the full dataset is available at http://glass.umd.edu/albedo_clim/.

Surface albedo plays a critical role in climate, hydrological, and biogeochemical modeling and weather forecasting. Therefore, precisely mapping surface albedo climatology globally is necessary to better parameterize environmental systems. We generated a new global surface blue-sky actual and snow-free albedo climatology dataset from 20-year MODIS products from the Google Earth Engine (GEE).

The 500m global surface blue-sky daily albedo climatology dataset follows the basic MODIS product format and employed the sinusoidal projection. It includes historical and snow-free blue-sky albedo climatology data. For application convenience, the land cover climatology of MODIS product (MCD12Q1) is also generated and attached. The International Geosphere-Biosphere Programme (IGBP) and PFT classification climatology of MCD12Q1 since 2001 were also generated.

The National Forest Inventory (NFI) woodland map covers all forest and woodland area over 0.5 hectare with a minimum of 20% canopy cover, or the potential to achieve it, and a minimum width of 20 metres. This includes areas of new planting, clearfell, windblow and restock. The woodland map excludes all 'tarmac' roads and active railways, and forest roads, rivers and powerlines where the gap in the woodland is greater than 20 meters wide. All woodland (both urban and rural), regardless of ownership, is 0.5 hectare or greater in extent, with the exception of Assumed woodland or Low density areas that can be 0.1 hectare or greater in extent. Also, in the case of woodland areas that cross the countries borders, the minimum size restriction does not apply if the overall area complies with the minimum size.Woodland less than 0.5 hectare in extent, with the exception of the areas above, will not be described within the dataset but will be included in a separate sample survey of small woodland and tree features.The woodland map is updated on an annual basis and the changes in the woodland boundaries use the Ordnance Survey MasterMap® (OSMM) as a reference where appropriate.The changes in the canopy cover have been identified on:• Sentinel 2 imagery taken during spring/summer 2018 or colour aerial orthophotography available at the time of the assessment;• New planting information for the financial year 2018/2019, from grant schemes and the sub-compartment database covering the estate of Natural Resources Wales;• Bluesky’s National Tree Map (NTM) dataset was used to revise woodland areas between 1 and 2 ha;• Woodland Carbon Code dataset was also used to revised areas of approved new planting outside the existing approved grant schemes.

The GOES-R Advanced Baseline Imager (ABI) Level 2 Land Surface Albedo (LSA) as defined as the ratio between outgoing and incoming irradiance at the earth's surface. The LSA is a shortwave broadband blue-sky albedo over wavelengths between 0.4 and 3.0 µm. Besides the blue-sky broadband shortwave albedo, the LSA algorithm also generates spectral land surface reflectance as byproducts. The frequent temporal refreshment, fine spectral resolution and large spatial coverage make ABI a unique data source for mapping LSA. The Land Surface Albedo product image is provided at 2 km resolution on the ABI fixed grid for Full Disk, CONUS, and Mesoscale coverage regions from GOES East and West.

Longmynd Bluesky lidar survey

The H1B Sponsorship Trends linear chart shows the number of H1B cases filed by Clear Blue Sky Group from 2020 to 2023, providing a clear view of filing trends over time. Alongside, the horizontal bar chart titled Distribution of Job Fields Receiving H1B Sponsorship breaks down which roles and industries are most commonly sponsored.

Spatial dataset representing all the existing tree canopies within the city centre of Leeds as defined CC2 boundary (UDP 2006). The trees are classified as Single, Linear or Group. 2017 - Captured against Google Maps aerial photographs 2017 2010 - Captured against Bluesky aerial photographs 2009 which are PAI

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the North West River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography. This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments. Attribution statement: © Environment Agency copyright and/or database right 2018. All rights reserved. © Crown copyright and database rights 2018 Ordnance Survey 100024198 © Bluesky International Ltd/Getmapping PLC. Some features of this map are based on digital spatial data from the Centre for Ecology & Hydrology, British Antarctic Survey and British Geological Survey. © NERC (Centre for Ecology & Hydrology; British Antarctic Survey; British Geological Survey). Contains public sector information licensed under the Open Government Licence v3.0.

Shoreline rates show how fast the coast is moving. They show if it is moving out towards the sea or back towards the land.Our shoreline is in constant movement. Changes to shorelines over time are to be expected due to processes like erosion (rock or sediment being removed) and deposition (sediment being dumped). Much of Ireland’s shoreline was shaped by the last ice-age. In many areas soft sediments were left behind by glaciers. In other areas there are more recent soft sediments such as dunes and sand spits deposited by action of sea or rivers.Coastal processes can erode these soft sediments. However, climate change driven factors such as sea-level rise and more frequent extreme storms will greatly increase the rate and scale at which coastal erosion is occurring.Satellite images and aerial photographs show us how the shoreline is changing from year to year. We used Tailte Éireann and BlueSky aerial images between 2000 to 2020/Maxar Worldview 2021 to assess the rate or speed of shoreline movement. The data points are spaced 50m apart. The data is split into four classes based on the rates of change. Accretion (deposition), Stable, Moderate Erosion and High Erosion.The change rate data points are spaced 50m apart. The data is split into four classes based on the rates of change. Accretion (deposition), Stable, Moderate Erosion and High Erosion.It is a vector dataset. Vector data portray the world using points, lines and polygons (area). The data is shown as points. Each point holds information about the Shoreline Change Rate (metre per year) and the Shoreline Classification.

Longmynd Bluesky lidar survey

The National Forest Inventory (NFI) woodland map covers all forest and woodland area over 0.5 hectare with a minimum of 20% canopy cover, or the potential to achieve it, and a minimum width of 20 metres. This includes areas of new planting, clearfell, windblow and restock. The woodland map excludes all 'tarmac' roads and active railways, and forest roads, rivers and powerlines where the gap in the woodland is greater than 20 meters wide.

All woodland (both urban and rural), regardless of ownership, is 0.5 hectare or greater in extent, with the exception of Assumed woodland or Low density areas that can be 0.1 hectare or greater in extent. Also, in the case of woodland areas that cross the countries borders, the minimum size restriction does not apply if the overall area complies with the minimum size.

Woodland less than 0.5 hectare in extent, with the expectation of the areas above, will not be described within the dataset but will be included in a separate sample survey of small woodland and tree features.

The woodland map is updated on an annual basis and the changes in the woodland boundaries use the Ordnance Survey MasterMap® (OSMM) as a reference where appropriate.

The changes in the canopy cover have been identified on;

Sentinel 2 imagery taken during spring/summer 2018 or colour aerial orthophotographic imagery available at the time of the assessment;

New planting information for the financial year 2018/2019, from grant schemes and the sub-compartment database covering the estate of Forestry England;

Bluesky™s National Tree Map (NTM) dataset was used to revise woodland areas between 1 and 2 ha in England;

Woodland Carbon Code dataset was also used to revised areas of approved new planting outside the existing approved grant schemes.

Woodland areas, greater than 0.5 hectares, are classified as an interpreted forest type (IFT) from aerial photography and satellite imagery. Non-woodland areas, open areas greater than 0.5 hectare completely surrounded by woodland are described according to open area types.

IFT categories are Conifer, Broadleaved, Mixed mainly conifer, Mixed mainly broadleaved, Coppice, Coppice with standards, Shrub, Young trees, Felled, Ground prep, Cloud \ shadow, Uncertain, Low density, Assumed woodland, Failed, Windblow. IOA categories are Open water, Grassland, Agricultural land, Urban, Road, River, Powerline, Quarry, Bare area, Windfarm, Other vegetation.

For further information regarding the interpreted forest types (IFT) and the interpreted open areas (IOA) please see NFI description of attributes available on http://www.forestresearch.gov.uk/

Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine learning framework. The Living England habitat map shows the extent and distribution of broad habitats across England aligned to the UKBAP classification, providing a valuable insight into our natural capital assets and helping to inform land management decisions. Living England is a project within Natural England, funded by and supports the Defra Natural Capital and Ecosystem Assessment (NCEA) Programme and Environmental Land Management (ELM) Schemes to provide an openly available national map of broad habitats across England. Attribution statement: © Natural England 2024. Contains: OS data © Crown copyright and database rights 2023 OS AC0000851168; Natural England Licence No. 2011/052 British Geological Survey © NERC. All rights reserved; © Environment Agency 2023. All rights reserved; © Rural Payments Agency 2022; NERC EDS Environmental Information Data Centre; National Plant Monitoring Scheme and survey data (2015-2023) organised and funded by the UKCEH, BSBI, Plantlife and JNCC, indebted to all volunteers who contribute data to the scheme; Modified Copernicus Sentinel data 2023; © Forestry Commission 2022; Soils Data © Cranfield University (NSRI) and for the Controller of HMSO 2005; © Carlos Bedson & Manchester Metropolitan University 2019; British Geological Survey materials © UKRI 2016; HadUK-Grid data © Met Office 2018; Modified Copernicus Climate Change Service information 2023; © Bluesky International Ltd 2024; Map services and data available from U.S. Geological Survey, National Geospatial Program; © Department for Energy Security and Net Zero; © OpenStreetMap 2024.

LiDAR (Light Detection and Ranging) is a remote sensing technology, i.e. the technology is not in direct contact with what is being measured. From satellite, aeroplane or helicopter, a LiDAR system sends a light pulse to the ground. This pulse hits the ground and returns back to a sensor on the system. The time is recorded to measure how long it takes for this light to return. Knowing this time measurement scientists are able to create topography maps.LiDAR data are collected as points (X,Y,Z (x & y coordinates) and z (height)). The data is then converted into gridded (GeoTIFF) data to create a Digital Terrain Model and Digital Surface Model of the earth. This LiDAR data was collected between June and October 2018.An ordnance datum (OD) is a vertical datum used as the basis for deriving heights on maps. This data is referenced to the Malin Head Vertical Datum which is the mean sea level of the tide gauge at Malin Head, County Donegal. It was adopted as the national datum in 1970 from readings taken between 1960 and 1969 and all heights on national grid maps are measured above this datum. Digital Terrain Models (DTM) are bare earth models (no trees or buildings) of the Earth’s surface.Digital Surface Models (DSM) are earth models in its current state. For example, a DSM includes elevations from buildings, tree canopy, electrical power lines and other features.Hillshading is a method which gives a 3D appearance to the terrain. It shows the shape of hills and mountains using shading (levels of grey) on a map, by the use of graded shadows that would be cast by high ground if light was shining from a chosen direction.This data shows the hillshade of the DTM.This data was collected by BlueSky and GeoAeroSpace and provided to the Geological Survey Ireland. All data formats are provided as GeoTIFF rasters but are at different resolutions. Data resolution is 1m.Both a DTM and DSM are raster data. Raster data is another name for gridded data. Raster data stores information in pixels (grid cells). Each raster grid makes up a matrix of cells (or pixels) organised into rows and columns. This data has a grid cell size of 1 meter by 1 meter. This means that each cell (pixel) represents an area of 1 meter squared.

Clee Common Bluesky 0.25m lidar