Product: Classified LAS 1.4 files, formatted to 6,038 individual 1,500m x 1,500m tiles covering the Central Eastern Massachusetts project area. Geographic Extent: This dataset and derived products encompass an area covering approximately 5,246 Square Miles of Massachusetts. Dataset Description: The Central Eastern Massachusetts Lidar project called for the planning, acquisition, and processi...

These data consist of ground surface elevations derived from source lidar measurements collected in April and August 2022 in the vicinity of Petersham, MA during the SMAPVEX19-22 campaign. This _location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods occurred to characterize differences during "leaf-on" and "leaf-off" conditions.

Geographic Extent: Central Maine, covering approximately 2,882 total square miles at QL 2. Western Massachusetts, covering approximately 815 total square miles at QL 1. Western Massachusetts, covering approximately 2,770 total square miles at QL 2.

      Dataset Description:
      The Maine and Massachusetts 20...

This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. Maps of historic shoreline locations from the mid-1800s to 1978 were produced from multiple data sources, and in 2001, a 1994 shoreline was added to enable the calculation of long- and short-term shoreline change rates. In 2013, the U.S. Geological Survey (USGS), in cooperation with CZM, delineated an additional oceanfront shoreline using 2007 topographic lidar data and 2008–9 color aerial orthoimagery. Further cooperation between CZM and the USGS resulted in this 2018 update, intended to increase the understanding of coastal erosion and to support coastal management decision making. This update includes beach shorelines, marsh shorelines, and dune metrics, all of which were derived from topographic lidar data. This data release, which is part of the 2018 update, defines the position and elevation of the most seaward dune crest and toe along the Massachusetts coast as derived from 2013–14 lidar data. In the absence of a dune, the peak of the berm or the seaward edge of a bluff, headland, or hard structure (for example, a seawall, road, or parking lot) was chosen as a proxy for the dune crest. Where possible, the dune toe was placed at the base of the proxy feature.

September 2023

The Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the Massachusetts coast. Seventy-six maps were produced in 1997 depicting a statistical analysis of shoreline change on ocean-facing shorelines from the mid-1800s to 1978 using multiple data sources. In 2001, a 1994 shoreline was added. More recently, in cooperation with CZM, the U.S. Geological Survey (USGS) delineated a new shoreline for Massachusetts using color aerial ortho-imagery from 2008 to 2009 and topographic lidar data collected in 2007. This update included a marsh shoreline, which was defined to be the tonal difference between low- and high-marsh seen in ortho-photos. Further cooperation between CZM and the U.S. Geological Survey (USGS) has resulted in another update in 2018, which includes beach shorelines, marsh shorelines and dune parameters, all of which were calculated from 2013-14 topographic lidar data. This metadata file describes the marsh shoreline that is part of the 2018 update. The marsh shoreline was defined to be the steep slope found at the seaward edge of the marsh vegetation. This definition was used because the marsh edge is the preferred shoreline indicator for computing rates of change and making position forecasts.

This is a seamless bare earth digital elevation model (DEM) created from lidar terrain elevation data for the Commonwealth of Massachusetts. It represents the elevation of the surface with vegetation and structures removed. The spatial resolution of the map is 1 meter. The elevation of each 1-meter square cell was linearly interpolated from classified lidar-derived point data.This version of the DEM stores the elevation values as integers. The native VALUE field represents the elevation above/below sea level in meters. MassGIS added a FEET field to the VAT (value attribute table) to store the elevation in feet as calculated by multiplying VALUE x 3.28084.Dates of lidar data used in this DEM range from 2010-2015. The overlapping lidar projects were adjusted to the same projection and datum and then mosaicked, with the most recent data replacing any older data. Several very small gaps between the project areas were patched with older lidar data where necessary or with models from recent aerial photo acquisitions. See https://www.mass.gov/doc/lidar-project-areas-original/download for an index map.This DEM is referenced to the WGS_1984_Web_Mercator_Auxiliary_Sphere spatial reference.See the MassGIS datalayer page to download the data as a file geodatabase raster dataset.View this service in the Massachusetts Elevation Finder.

This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. Maps of historic shoreline locations from the mid-1800s to 1978 were produced from multiple data sources, and in 2001, a 1994 shoreline was added to enable the calculation of long- and short-term shoreline change rates. In 2013, the U.S. Geological Survey (USGS), in cooperation with CZM, delineated an additional oceanfront shoreline using 2007 topographic lidar data and 2008–9 color aerial orthoimagery. Further cooperation between CZM and the USGS resulted in this 2018 update, intended to increase the understanding of coastal erosion and to support coastal management decision making. This update includes beach shorelines, marsh shorelines, and dune metrics, all of which were derived from topographic lidar data. This data release, which is part of the 2018 update, defines the position and elevation of the most seaward dune crest and toe along the Massachusetts coast as derived from 2013–14 lidar data. In the absence of a dune, the peak of the berm or the seaward edge of a bluff, headland, or hard structure (for example, a seawall, road, or parking lot) was chosen as a proxy for the dune crest. Where possible, the dune toe was placed at the base of the proxy feature.

Overview

This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.

The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.

Data Details

The Windcube data is compressed via 7-zip:

WLS866-24_2020_01_15_00_00_00.gyro.7z
WLS866-24_2020_01_15_00_00_00.rtd.7z
WLS866-24_2020_01_15_00_00_00.sta.7z
WLS866-24_2020_01_15_00_00_00.stdrtd.7z
WLS866-24_2020_01_15_00_00_00.stdsta.7z

"sta" files are 10 minute averaged data.
"rtd" files are ~1 second data.
"gyro" files are buoy movement data.

7z is the new archive format, providing high compression ratio.

The main features of 7z format:
Open architecture
High compression ratio
Strong AES-256 encryption
Ability of using any compression, conversion or encryption method
Supporting files with sizes up to 16000000000 GB
Unicode file names
Solid compressing
Archive headers compressing
7z has open architecture, so it can support any new compression methods.

https://www.7-zip.org/7z.html

These lidar measurements were collected in April and August 2022 in the vicinity of Petersham, MA during the SMAPVEX19-22 campaign. This _location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The two acquisition periods were selected to characterize differences during "leaf-off” and "leaf-on" conditions.

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the Central Eastern Massachusetts project area.

Original Dataset Geographic Extent: This dataset and derived products encompass an area covering approximately 5,246 Square Miles of Massachusetts.

Original Dataset Description: Lidar flight line swaths were processed to create 6,038 classified LAS 1.4 files delin...

The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2016 National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Massachusetts lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Product: Bare earth Digital Elevation Model (DEM) data. Geographic Extent: Nantucket county Massachusetts, covering approximately 91 square miles. Dataset Description: The Nantucket project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological...

The U.S. Geological Survey (USGS), in cooperation with the Green Berkshires, Inc., has compiled Geographic Information Systems (GIS) datasets consisting of raster and vector data used to generate lidar-derived hydrography. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). The vector data are in Esri shapefile format and include a Breach_Lines.shp file used to breach digital flow dams or obstructions in the DEM (connect erroneously disconnected flow) to aid flow direction processes and hydrologic conditioning; a Headwater_Seed_Points.shp file to guide stream network delineation; a Stream_Network_Karner_Brook_Watershed.shp file derived from the high-resolution lidar DEM that shows stream location; a Watershed_Boundary_Karner_Brook.shp file derived from the hydro-enforcement representing the greater Karner Brook watershed area; and a Potential_Wetlands.shp file derived from the DEM and used to help identify possible wetland locations in the Karner Brook watershed. The raster datasets are in GeoTIFF format and include the dem_clip_m_1.tif, digital elevation model clipped to the Karner Brook basin extent; an fdr_cf.tif, predicting the direction of flow based on the direction of the steepest drop in elevation; and an fac_cf.tif, predicting the number of upstream cells flowing into each one-meter cell.

The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic coast of MA in 2011. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88).

These files contain classified topographic and bathymetric lidar data as unclassified valid topographic data (1), valid topographic data classified as ground (2), noise (7), and valid bathymetric data (11). Classes 1, 2 and 7 aredefined in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards, while class 11 is specific to NOAA CSC. These data were collected by the Compact Hydrographic Airborne RapidTotal Survey (CHARTS) system along the coast of Massachusetts and New Hampshire. CHARTS integrates topographic and bathymetric lidar sensors, a digital camera and a hyperspectral imager on a single remote sensing platform for usein coastal mapping and charting activities. Data coverage generally extends along the coastline from the waterline inland 500 meters (topography) and offshore 1,000 meters or to laser extinction (bathymetry). Native lidar data isnot generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be importedinto GIS software for visualization and further analysis. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referencedto the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datumof 1988 (NAVD88). The 3-D position data are sub-divided into a series of LAS files, each covering approximately 5 kilometers of shoreline. The format of the file is LAS version 1.2.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Leica Chiroptera 4X system. The data were acquired from 20220605 - 20220723. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), noise (7), water surface (topographic sensor) (9), high noise (18), bathymetric po...

The Massachusetts Statewide LiDAR from 2005 has been classified to show high elevations in Central and Western Massachusetts. The Digital Elevation Model has been classified as follows:Elevations below 1,700 feet are light blueElevations between 1,700 and 2,199 feet are light greenElevations between 2,200 and 3,000 feet are brownElevations greater than 3,000 feet are white. To view the full Massachusetts Forest Action Plan, click here. *For source data information, please see credits.

Overview Deployment off the coast of Morro Bay, California. Data Details Windcube Data Files: lidar.z06.00.20200929.000000.gyro.7z lidar.z06.00.20200929.000000.rtd.7z lidar.z06.00.20200929.000000.sta.7z lidar.z06.00.20200929.000000.stdrtd.7z lidar.z06.00.20200929.000000.stdsta.7z The Windcube data is compressed via 7-zip: "sta" files are 10 minute averaged data. "rtd" files are ~1 second data. "gyro" files are buoy movement data. 7z is the new archive format, providing high compression ratio. The main features of 7z format: Open architecture High compression ratio Strong AES-256 encryption Ability of using any compression, conversion or encryption method Supporting files with sizes up to 16000000000 GB Unicode file names Solid compressing Archive headers compressing 7z has open architecture, so it can support any new compression methods. https://www.7-zip.org/7z.html Data Quality Additional meta data to follow. PNNL recommends adding 180 degrees to the lidar wind directions at Morro Bay, as there is a directional issue associated with GPS cables being swapped on the buoy during buoy commissioning. The 180 degrees offset is going to be very close to our final post-processed data, that will be uploaded at the end of the campaign in September or November 2021. Please email Alicia Gorton with any questions by clicking on her name under Contacts. (alicia.gorton@pnnl.gov)

Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once...