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Watershed Sciences, Inc. (WSI)
503-505-5100
503-546-6801
421 S.W. 6th Ave., Suite 800
Portland
OR
97204
US
20201216
ArcGIS Metadata
1.0
Sonoma County Agricultural Preservation and Open Space District
(707) 565-7369
747 Mendocino Ave, Suite 100
Santa Rosa
CA
95401
US
Lidar_Intensity_Vegetation_2013
2014-02-19
Sonoma County Vegetation Mapping and LiDAR Program
remote-sensing image
<div style='text-align:Left;'><div><div><p><span>This intensity image depicts intensity values in their native radiometric resolution for LiDAR all-returns; intensities measure the magnitude (strength) of a return pulse. Objects with higher reflectivity will produce a higher intensity than dark objects. The return pulse amplitude is represented in 8-bit, with values ranging from 0-255. Each image corresponds to a 37,800-square-foot tile. Each pixel is 3 feet and represents an average intensity for that area. The specified coordinate system for this dataset is California State Plane Zone II (FIPS 0402), NAD83 (2011), with units in US Survey Feet for horizontal, and vertical units are NAVD88 (12A) US Survey Feet. The dataset encompasses a portion of Sonoma County. WSI collected the LiDAR and created this data set for the Sonoma County Vegetation Mapping and LiDAR Consortium.</span></p></div></div></div>
The Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) and the University of Maryland (under grant NNX13AP69G from NASA’s Carbon Monitoring System, Dr. Ralph Dubayah, PI) contracted LiDAR and orthophoto data collection for all of Sonoma County in late 2013. Also included in the data collection were two areas in Mendocino County - the Soda Spring Creek-Dry Creek Watershed and Lake Mendocino. This fine scale data will help provide an accurate, up-to-date inventory of the county’s landscape features, ecological communities and habitats. Project funders include: NASA, the University of Maryland, the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.
Sonoma County Vegetation Mapping and LiDAR Consortium, NASA, University of Maryland, Watershed Sciences, Inc., Tukman Geospatial LLC
Sonoma County, Lake Mendocino, Sonoma Lake Watershed
LiDAR, Light Detection And Ranging, LiDAR Intensity
LiDAR
Light Detection And Ranging
LiDAR Intensity
Sonoma County
Lake Mendocino
Sonoma Lake Watershed
Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) under grant NNX13AP69G from NASA’s Carbon Monitoring System (Dr. Ralph Dubayah, PI). This data is available for unrestricted public use. However, users should acknowledge the source of the data in any reports, publications, or presentations where the data is used.
<div style='text-align:Left;'><div><div><p><span>Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) under grant NNX13AP69G from NASA’s Carbon Monitoring System (Dr. Ralph Dubayah, PI). This data is available for unrestricted public use. However, users should acknowledge the source of the data in any reports, publications, or presentations where the data is used.</span></p></div></div></div>
Ground Condition - LiDAR: Leica ALS50 & Leica ALS70
2013-09-28
2013-11-26
-123.238581
-122.390681
38.298129
38.511668
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.7.1.11595
1
-123.565031
-122.224633
39.342439
38.086871
LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data were examined at a 1:3000 scale.
LiDAR has been collected and processed throughout the project study area. Data retain their native radiometric (not normalized), and some areas of high reflectance may appear white.
LiDAR Data Processing. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. Laser point return coordinates were computed using ALS Post Processing software, based on independent data from the LiDAR system, IMU, and aircraft. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. Noise (e.g., pits and birds) was filtered using ALS post-processing software, based on known elevation ranges and included the removal of any cycle slips. Cessna Caravan 208BThe filtered all-return points were compared to RTK ground survey points collected to verify the vertical accuracies. Points were broken into project tiles and output as GeoTiffs, and colored by intensity values (0-255).
2014-01-10
Acquisition. LiDAR data acquisition was started September 28, 2013 and was completed on November 26, 2013. The survey is utilizing a Leica ALS50 or ALS70 laser system mounted in a Piper Navajo PA-31-325 or Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
2014-02-19
2
1
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6497017.000000 2250802.000000
6497017.000000 1797202.000000
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This remote sensing image represents intensity values in their native radiometric resolution for LiDAR all-returns
Sonoma County Vegetation Mapping and LiDAR Program
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