Digital surface, terrain, and canopy height models for Deception Creek Experimental Forest in 2011

Metadata:

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

During the acquisition of lidar data, Watershed Sciences collected GPS based real-time kinematic (RTK) survey points to assess lidar accuracy. Vertical accuracy was estimated to be 4.5 centimeters. See referenced lidar acquisition and processing report for details.

Logical_Consistency_Report:

Ground survey data were used to geo-spatially correct lidar data. See referenced lidar acquisition and processing report for details.

Completeness_Report:

Some elevation and height values might be interpolated across areas of sparse return coverage, although the average point density of the lidar data is 5.65 points per square meter, so interpolated one-meter cells are rare.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: Watershed Sciences, Inc.

Publication_Date: 2011

Title:

LiDAR remote sensing, Clearwater, Idaho (Delivery 2 – 11/07/2011)

Geospatial_Data_Presentation_Form: binary point cloud

Publication_Information:

Publisher: Watershed Sciences, Inc.

Other_Citation_Details:

Report available through data publication download: \Supplements\Clearwater_LiDAR_Report_Delivery2.pdf

Type_of_Source_Media: Online

Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2011

Source_Currentness_Reference:

Ground Condition

Source_Citation_Abbreviation:

Watershed Sciences

Source_Contribution:

Data were acquired with a Leica ALS50 Phase II laser system aboard a Cessna Caravan 208B fixed-wing aircraft. See the lidar acquisition and processing report from Watershed Sciences for details on how lidar data were acquired and how raw data were processed.

Process_Step:

Process_Description:

Lidar raster products were created from point clouds, which were delivered by Watershed Sciences as LAS files, using LAStools (Isenburg, 2019) and R (R Core Team, 2018) software.

To create the digital surface model (DSM), points were thinned to the highest point in each square meter using the ‘lasthin’ function; the ‘blast2dem’ function was then used to create a one-meter DSM of these highest points.

To create the digital terrain model (DTM), LAS tiles were buffered and converted to LAZ files using the ‘lastile’ function; points in buffered LAZ files were classified as ground or non-ground using the ‘lazground_new’ function; buffers of normalized point clouds were removed using the ‘lastile’ function; and the ‘blast2dem’ function was used to create a one-meter DTM of the ground-classified points.

To create the canopy height model (CHM), points in buffered LAZ files were classified as ground or non-ground and normalized to heights above ground using the ‘lazground_new’ function; the method of Khosravipour et al. (2014), implemented in R and LAStools, was then used to create a series of pit-free, one-meter CHMs, which were merged.

Khosravipour, Anahita; Skidmore, Andrew K.; Isenburg, Martin; Wang, Tiejun; Hussin, Yousif A. 2014. Generating pit-free canopy height models from Airborne LiDAR. Photogrammetric Engineering and Remote Sensing 80: 863-872. https://doi.org/10.14358/PERS.80.9.863

Source_Used_Citation_Abbreviation:

Watershed Sciences

Process_Date: 2019

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Pixel

Row_Count: 4681

Column_Count: 6310

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: NAD 1983 UTM Zone 11N

Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996

Longitude_of_Central_Meridian: -117.0

Latitude_of_Projection_Origin: 0.0

False_Easting: 500000.0

False_Northing: 0.0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.000000002220024164500956

Ordinate_Resolution: 0.000000002220024164500956

Planar_Distance_Units: meter

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1983

Ellipsoid_Name: Geodetic Reference System 80

Semi-major_Axis: 6378137.0

Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

Below you will find the data available in this data publication and a short description of its contents.

Elevation units for all data sets is meters.

DATA FILES

\Data\DCEF_2011_CHM.tif: 2011 Deception Creek Experimental Forest vegetation canopy height model (CHM) in GeoTIFF format representing the height of vegetation above the ground surface.

\Data\DCEF_2011_DSM.tif: 2011 Deception Creek Experimental Forest digital surface model (DSM) in GeoTIFF format giving the highest lidar return in each one-meter grid cell.

\Data\DCEF_2011_DTM.tif: 2011 Deception Creek Experimental Forest digital terrain model (DTM) in GeoTIFF format representing the ground surface with vegetation and other non-ground returns removed.


SUPPLEMENTAL FILES

\Supplements\Clearwater_LiDAR_Report_Delivery2.pdf: Portable Document Format file containing the November 7, 2011 report "LiDAR remote sensing, Clearwater, Idaho (Delivery 2 – 11/07/2011", which was provided by Watershed Sciences in Corvallis, OR

Entity_and_Attribute_Detail_Citation:

none provided

Metadata_Reference_Information:

Metadata_Date: 20200709

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Benjamin C. Bright

Contact_Organization: USDA Forest Service, Rocky Mountain Research Station, Moscow Forestry Sciences Laboratory

Contact_Position: Geographer

Contact_Address:

Address_Type: mailing and physical

Address: 1221 South Main Street

City: Moscow

State_or_Province: ID

Postal_Code: 83843

Country: USA

Contact_Voice_Telephone: 208-883-2311

Contact_Electronic_Mail_Address: benjamin.c.bright@usda.gov

Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001.1-1999