Statewide 2016 Lidar points colorized with 2018 NAIP imagery as a scene created by Esri using ArcGIS Pro for the entire State of Connecticut. This service provides the colorized Lidar point in interactive 3D for visualization, interaction of the ability to make measurements without downloading.Lidar is referenced at https://cteco.uconn.edu/data/lidar/ and can be downloaded at https://cteco.uconn.edu/data/download/flight2016/. Metadata: https://cteco.uconn.edu/data/flight2016/info.htm#metadata. The Connecticut 2016 Lidar was captured between March 11, 2016 and April 16, 2016. Is covers 5,240 sq miles and is divided into 23, 381 tiles. It was acquired by the Captiol Region Council of Governments with funding from multiple state agencies. It was flown and processed by Sanborn. The delivery included classified point clouds and 1 meter QL2 DEMs. The 2016 Lidar is published on the Connecticut Environmental Conditions Online (CT ECO) website. CT ECO is the collaborative work of the Connecticut Department of Energy and Environmental Protection (DEEP) and the University of Connecticut Center for Land Use Education and Research (CLEAR) to share environmental and natural resource information with the general public. CT ECO's mission is to encourage, support, and promote informed land use and development decisions in Connecticut by providing local, state and federal agencies, and the public with convenient access to the most up-to-date and complete natural resource information available statewide.Process used:Extract Building Footprints from Lidar1. Prepare Lidar - Download 2016 Lidar from CT ECO- Create LAS Dataset2. Extract Building Footprints from LidarUse the LAS Dataset in the Classify Las Building Tool in ArcGIS Pro 2.4.Colorize LidarColorizing the Lidar points means that each point in the point cloud is given a color based on the imagery color value at that exact location.1. Prepare Imagery- Acquire 2018 NAIP tif tiles from UConn (originally from USDA NRCS).- Create mosaic dataset of the NAIP imagery.2. Prepare and Analyze Lidar Points- Change the coordinate system of each of the lidar tiles to the Projected Coordinate System CT NAD 83 (2011) Feet (EPSG 6434). This is because the downloaded tiles come in to ArcGIS as a Custom Projection which cannot be published as a Point Cloud Scene Layer Package.- Convert Lidar to zlas format and rearrange. - Create LAS Datasets of the lidar tiles.- Colorize Lidar using the Colorize LAS tool in ArcGIS Pro. - Create a new LAS dataset with a division of Eastern half and Western half due to size limitation of 500GB per scene layer package. - Create scene layer packages (.slpk) using Create Cloud Point Scene Layer Package. - Load package to ArcGIS Online using Share Package. - Publish on ArcGIS.com and delete the scene layer package to save storage cost.Additional layers added:Visit https://cteco.uconn.edu/projects/lidar3D/layers.htm for a complete list and links. 3D Buildings and Trees extracted by Esri from the lidarShaded Relief from CTECOImpervious Surface 2012 from CT ECONAIP Imagery 2018 from CTECOContours (2016) from CTECOLidar 2016 Download Link derived from https://www.cteco.uconn.edu/data/download/flight2016/index.htm

The Download Tool is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. The tool provides easy download access to aerial imagery and lidar elevation collected during multiple flights.

LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data was collected at submeter resolution to provide nominal 1m spacing of collected points. Two returns were recorded for each pulse in addition to an intensity value. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. The Shaded Relief service is created by applying the shaded relief function to the bare earth Elevation service.

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. The Apsect service is created by applying the aspect function to the bare earth Elevation service.

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. This layer is a hydro-flattened bare earth digital elevation model (DEM) derived from the classified Lidar point cloud covering the state of Connecticut.

These data provide an accurate high-resolution shoreline compiled from lidar and lidar and lidar and imagery of Stonington to Horseneck Point, CT-RI-MA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribu...

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. The Hillshade service is created by applying the hillshade function to the bare earth Elevation service.

This polygon dataset is derived from Landsat reflectance and LiDAR elevation data. The polygon boundaries represent "image objects" that were derived using eCognition image segmentation software. The software groups image pixels into contiguous segments based on spectral reflectance. The attributes for each polygon are then calculated from the LiDAR crown height layer. Attributes include maximum, minimum, and mean elevation above the ground within each polygon. Elevation is in meters. This dataset incorporates Landsat data collected in 2015, 2016, 2017, and 2018. LiDAR data were collected in 2015 and 2016.

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. This layer is lidar point intensity covering the state of Connecticut.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Connecticut digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Fairfield, Hartford, Middlesex, New Haven, and New London Counties. The DEM was produced from the following lidar data sets: 1. 2016 Connecticut Statewide Lidar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

This feature service is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. The tile grid service is as an index for accessing aerial imagery and lidar elevation data files for Connecticut and is used in the Download Tool.

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. This layer is a hydro-flattened bare earth digital elevation model (DEM) derived from the classified Lidar point cloud covering the state of Connecticut.

description: (Link to Metadata) This metadata applies to the following collection area(s): Middle CT River subbasin 2016 0.7m; Eastern VT 2014 0.7m; Rutland/GI Counties 2013 0.7m; and related Digital Surface Model (DSM) data. This metadata complies with the VT Geodata Portal format and applies to thematic layers with the same resolution (RESCLASS), e.g., 0p7m, 1m etc., and may include multiple data "collection" efforts. For the original vendor metadata containing specific details on each collections "point cloud" such as flight dates, nominal pulse spacing and RMSEz etc., see the "All Available LiDAR" Product page: (http://vcgi.vermont.gov/warehouse/products/ALL-LDR_MIX_LIDAR_STATE_ALL). For an overview of the "Vermont LiDAR Initiative" please see "http://vcgi.vermont.gov/lidar".; abstract: (Link to Metadata) This metadata applies to the following collection area(s): Middle CT River subbasin 2016 0.7m; Eastern VT 2014 0.7m; Rutland/GI Counties 2013 0.7m; and related Digital Surface Model (DSM) data. This metadata complies with the VT Geodata Portal format and applies to thematic layers with the same resolution (RESCLASS), e.g., 0p7m, 1m etc., and may include multiple data "collection" efforts. For the original vendor metadata containing specific details on each collections "point cloud" such as flight dates, nominal pulse spacing and RMSEz etc., see the "All Available LiDAR" Product page: (http://vcgi.vermont.gov/warehouse/products/ALL-LDR_MIX_LIDAR_STATE_ALL). For an overview of the "Vermont LiDAR Initiative" please see "http://vcgi.vermont.gov/lidar".

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. This layer is a hydro-flattened bare earth digital elevation model (DEM) derived from the classified Lidar point cloud covering the state of Connecticut.This service (called Statewide2023) will persist as other elevation dates become available. Connect to the Elevation service to always have the latest and greatest service without changing the connection. Visit the CT ECO Map and Image Services page for a complete list of available elevation services. 2023 Statewide Extent: ConnecticutDates: 2023 (March 27 - April 13), between snow melt and leaf outData Info: statewide Digital Elevation Model (DEM), which is a bare earth elevation raster with no functions applied Pixel Resolution: 2 foot DEM raster derived from QL1+ Lidar point cloud with a minimum of 15 points per square meter inland and 20 points per square meter along the coast. The bare earth elevation from the points were averaged to get the elevation value for each pixel in the DEM. Projection: CT State Plane NAD 83 (2011) Feet (EPSG 6434)Service Projection: WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)More Information- All About the 2023 Data Collection (Imagery and Lidar)- All about Connecticut Lidar Elevation- Lidar Elevation on CT ECO Explained- Metadata xml format- Download DEM and pointsTips- The elevation service contains processing templates like hillshade, slope, and aspect, that can be applied to change the appearance of the layer. - Symbology is another useful and easy way to display the elevation differently. Credit and Funding

Worst case hurricane surge inundation areas for category 1 through 4 hurricanes striking the coast of Connecticut. Hurricane surge values were developed by the National Hurricane Center using the SLOSH (Sea Lake and Overland Surge from Hurricanes) Model. This Surge Inundation layer was created by the U.S. Army Corps of Engineers, New England District. Using ArcInfo's Grid extension, LiDAR bare earth elevation data from both the State of Connecticut and FEMA was subtracted from the worst-case hurricane surge values to determine which areas could be expected to be inundated.Estimated storm surge indundation from hurricanes along the Connecticut coastline. Color corresponds to the storm category (category 1, 2, 3, or 4)

This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP.