Height Metric - Mean Height of all 1st Returns (5 meter cells)

Raster Dataset

Thumbnail

Tags
HJ Andrews Experimental Forest, Landscape Ecology, Oregon, geology, Blue River Watershed, Lidar, Willamette Basin, Forest Metrics, Mean Height


Summary

Mean height is a forest metric derived from Lidar point clouds. This metric measures the average height of the Lidar point cloud. This analysis is done in a given grid cell size. Height metrics give various statistics of the elevation above ground for a given set of Lidar points. In forested landscapes, first return height metrics describe the forest canopy.

Description

Mean height is derived from the raw Lidar point clouds using the FUSION software. The horizontal resolution is 5 meters. Only first Lidar returns were used so that height metrics describe the top of the canopy. This metric measures the mean height of all first return Lidar points in a given grid cell.

Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data from HJ Andrews and the Willamette National Forest (NF) on August 10th and 11th 2008. Total area for this AOI is 17,705 acres. The total area of delivered LiDAR including 100 m buffer is 19,493 acres.

Credits

Use limitations

See access and use constraints information.

Extent

West  -122.277460    East  -122.096288
North  44.295006    South  44.196772

Scale Range
Maximum (zoomed in)  1:5,000
Minimum (zoomed out)  1:50,000

ArcGIS Metadata 

Topics and Keywords 

Themes or categories of the resource  environment


*Content type  Downloadable Data
Export to FGDC CSDGM XML format as Resource Description No

Place keywords  HJ Andrews Experimental Forest, Oregon, Blue River Watershed, Willamette Basin

Theme keywords  Landscape Ecology, geology, Lidar, vegetation, forest metrics, mean height

Thesaurus
Title Andrews Forest LTER Thesaurus




Citation 

Title Height Metric - Mean Height of all 1st Returns (5 meter cells)
Creation date 2008-11-14 00:00:00
Publication date 2013-08-07 00:00:00


Edition 1


Presentation formats  digital map
FGDC geospatial presentation format  raster digital data


Other citation details tv08111


Citation Contacts 

Responsible party
Organization's name Watershed Sciences
Individual's name Russell Faux
Contact's position Principle and Co-CEO
Contact's role  originator


Contact information
Phone
Voice 541-752-1204
Fax 541-752-3770

Address
Delivery point 517 SW 2nd St. Suite 400
City Corvallis
Administrative area OR
Postal code 97333
Country US



Responsible party
Organization's name Forest Science Data Bank
Contact's role  publisher


Contact information
Address
Delivery point Corvallis, OR



Responsible party
Individual's name Keith Olsen
Organization's name Oregon State University
Contact's position Sr. Research Assistant
Contact's role  processor


Contact information
Phone
Voice 541-990-7235

Address
Type postal
Delivery point 321 Richardson Hall
City Corvallis
Administrative area OR
Postal code 97331
Country US
e-mail addresskeith.olsen@oregonstate.edu



Resource Details 

Dataset languages  English (UNITED STATES)
Dataset character set  utf8 - 8 bit UCS Transfer Format


Status  completed
Spatial representation type  grid


Spatial resolution
Dataset's scale
Scale denominator 1

Ground sample distance
Precision of spatial data 1 m (meter)


*Processing environment Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143


ArcGIS item properties
*Name ht5f_mnc
*Location file://P:\HJA_LIDAR\HJA_Final_Metrics\ht5f_mnc
*Access protocol Local Area Network

Extents 

Extent
Description
The LiDAR was flown on August 10th and 11, 2008 and processed data was delivered
                on November 14th, 2008.
Temporal extent
Beginning date 2008-08-10 00:00:00
Ending date 2008-08-11 00:00:00

Extent
Geographic extent
Bounding rectangle
Extent type  Extent used for searching
*West longitude -122.277460
*East longitude -122.096288
*North latitude 44.295006
*South latitude 44.196772
*Extent contains the resource Yes

Extent in the item's coordinate system
*West longitude 557736.000000
*East longitude 572096.000000
*South latitude 4894124.000000
*North latitude 4904894.000000
*Extent contains the resource Yes

Resource Points of Contact 

Point of contact
Individual's name Theresa Valentine
Organization's name Corvallis Forest Science Laboratory
Contact's position Spatial Information Manager
Contact's role  point of contact


Contact information
Phone
Voice 541-750-7333
Fax 541-750-7760

Address
Type both
Delivery point 3200 SW Jefferson Way
City Corvallis
Administrative area Oregon
Postal code 97332
Country US
e-mail addresstvalentine@fs.fed.us or theresa.valentine@orst.edu

Hours of service m-f 0800-1630


Resource Maintenance 

Resource maintenance
Update frequency  as needed


Resource Constraints 

Constraints
Limitations of use
See access and use constraints information.
Security constraints
Classification  unclassified
Classification system USDA Forest Service


Additional restrictions No restrictions


Legal constraints
Limitations of use
no legal constraints on use of this data. We ask that the following
                    Acknowledgements be made:
                    http://andrewsforest.oregonstate.edu/lter/acknowledgements.cfm 

Spatial Reference 

ArcGIS coordinate system
*Type Projected
*Geographic coordinate reference GCS_North_American_1983
*Projection NAD_1983_UTM_Zone_10N
*Coordinate reference details
Projected coordinate system
Well-known identifier 26910
X origin -5120900
Y origin -9998100
XY scale 450445547.3910538
Z origin -100000
Z scale 10000
M origin -100000
M scale 10000
XY tolerance 0.001
Z tolerance 0.001
M tolerance 0.001
High precision true
Latest well-known identifier 26910
Well-known text PROJCS["NAD_1983_UTM_Zone_10N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-123.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26910]]

Reference system identifier
Value 26910
*Codespace EPSG
*Version 7.11.2


Spatial Data Properties 

Georectified Grid
*Number of dimensions 2


Axis dimensions properties
Dimension type  column (x-axis)
*Dimension size 2872
*Resolution  5.000000 Meter

Axis dimensions properties
Dimension type  row (y-axis)
*Dimension size 2154
*Resolution  5.000000 Meter

*Cell geometry  area
*Point in pixel  center


*Transformation parameters are available Yes


*Check points are available No


Corner points
*Point 557736.000000 4894124.000000
*Point 557736.000000 4904894.000000
*Point 572096.000000 4904894.000000
*Point 572096.000000 4894124.000000

*Center point 564916.000000 4899509.000000




Grid
Number of dimensions 2


Axis dimensions properties
Dimension type  row (y-axis)
Dimension size 2154
Resolution  5 m (meter)

Axis dimensions properties
Dimension type  column (x-axis)
Dimension size 2872
Resolution  5 m (meter)

Cell geometry  area


Transformation parameters are available No




ArcGIS Raster Properties
General Information
*Pixel depth 32
*Compression type RLE
*Number of bands 1
*Raster format GRID
*Source type continuous
*Pixel type floating point
*No data value -3.4028235e+038
*Has colormap No
*Has pyramids No




Spatial Data Content 

Image Description
*Type of information  physical measurement
Attribute described by cell values Mean height in meters


Band information
*Description ht5f_mnc
*Maximum value 1580.875000
*Minimum value -4.391000
Units
Symbol m

*Number of bits per value 32


Image quality code
Value none


Processing level code
Value none


Triangulation has been performed No
Radiometric calibration is available No
Camera calibration is available No
Film distortion information is available No
Lens distortion information is available No


Data Quality 

Scope of quality information
Resource level  dataset
Scope description
Dataset HJA LiDAR flight of 2008



Data quality report - Absolute external positional accuracy
Dimension vertical


Test date 2009-11-14 01:00:00


Measure name Manual System Calibration
Measure description The vertical accuracy of the LiDAR data is described as the mean and standard deviation (sigma ~ σ) of divergence of LiDAR point coordinates from RTK ground survey point coordinates. To provide a sense of the model predictive power of the dataset, the root mean square error (RMSE) for vertical accuracy is also provided. These statistics assume the error distributions for x, y, and z are normally distributed, thus we also consider the skew and kurtosis of distributions when evaluating error statistics. Statements of statistical accuracy apply to fixed terrestrial surfaces only and may not be applied to areas of dense vegetation or steep terrain. Additional control points are needed to assess accuracy in different land covers


Standard procedure identifier
Value none


Quantitative test results
Value 1
Units
Symbol m

Evaluation type  direct internal
Evaluation method see above
Evaluation procedure
Title LIDAR REMOTE SENSING DATA COLLECTION: HJ Andrews and Willamette NF
Publication date 2008-11-14 00:00:00


Edition 1
Edition date 2008-11-14


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/lter/data/aerial/hj_andrews_report.pdf
Function performed  download



Conformance test results
Test passed Yes
Result explanation Project Average = 0.12 m o Median Relative Accuracy = 0.12 m o 1σ Relative Accuracy = 0.13 m o 2σ Relative Accuracy = 0.19 m


Product specification
Title Accuracy
Creation date 2008-11-15 00:00:00


Presentation formats  digital document
FGDC geospatial presentation format  document


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/lter/data/aerial/hj_andrews_report.pdf
Access protocol pdf file
Name LiDAR Remote Sensing Data Collection: HJ Andrews and Willamette NF, November 14, 2008
Description  chapeter on accuracy assessment
Function performed  download
Application profile pdf file





Data quality report - Absolute external positional accuracy
Dimension horizontal


Test date 2008-11-14 00:00:00


Measure description LiDAR survey datasets were referenced to the 1 Hz static ground GPS data collected over presurveyed monuments with known coordinates. While surveying, the aircraft collected 2 Hz kinematic GPS data, and the onboard inertial measurement unit (IMU) collected 200 Hz aircraft attitude data. Realm Survey Suite was used to process the kinematic corrections for the aircraft. The static and kinematic GPS data were then post-processed after the survey to obtain an accurate GPS solution and aircraft positions. POSPAC was used to develop a trajectory file that includes corrected aircraft position and attitude information. The trajectory data for the entire flight survey session were incorporated into a final smoothed best estimated trajectory (SBET) file that contains accurate and continuous aircraft positions and attitudes.


Standard procedure identifier
Value LiDAR Remote Sensign Data Collection: HJ Andrews and Willamette NF November 14,2008


Reference that defines the value
Title LiDAR Remote Sensign Data Collection: HJ Andrews and Willamette NF November 14,2008
Creation date 2008-11-14 00:00:00
Publication date 2008-11-14 00:00:00


Presentation formats  digital document
FGDC geospatial presentation format  document


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/lter/data/aerial/hj_andrews_report.pdf
Access protocol pdf file
Function performed  download



Quantitative test results
Value 1
Units
Symbol m

Evaluation type  direct internal
Evaluation method Manual System Calibration: Calibration procedures for each mission require solving geometric relationships that relate measured swath-to-swath deviations to misalignments of system attitude parameters. Corrected scale, pitch, roll and heading offsets were calculated and applied to resolve misalignments. The raw divergence between lines was computed after the manual calibration was completed and reported for each study area. 2. Automated Attitude Calibration: All data were tested and calibrated using TerraMatch automated sampling routines. Ground points were classified for each individual flight line and used for line-to-line testing. System misalignment offsets (pitch, roll and heading) and scale were solved for each individual mission and applied to respective mission datasets. The data from each mission were then blended when imported together to form the entire area of interest. 3. Automated Z Calibration: Ground points per line were utilized to calculate the vertical divergence between lines caused by vertical GPS drift. Automated Z calibration was the final step employed for relative accuracy calibration.
Evaluation procedure
Title LiDAR Remote Sensign Data Collection: HJ Andrews and Willamette NF November 14,2008
Creation date 2008-11-14 00:00:00
Publication date 2008-11-14 00:00:00


Edition 1
Edition date 2008-11-14


Presentation formats  digital document
FGDC geospatial presentation format  document


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/lter/data/aerial/hj_andrews_report.pdf
Access protocol pdf
Function performed  download





Data quality report - Completeness omission
Test date 2008-11-12 00:00:00


Measure description see description in on-line documentation


Standard procedure identifier
Value none


Evaluation type  direct internal
Evaluation method see description in on-line documentation
Evaluation procedure
Title LiDAR Remote Sensing Data Collection: HJ Andrews and Willamette NF
Creation date 2008-11-14 00:00:00
Publication date 2008-11-14 00:00:00


Edition 1
Edition date 2008-11-14


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/lter/data/aerial/hj_andrews_report.pdf
Access protocol pdf
Function performed  download





Data quality report - Conceptual consistency
Measure description see report from Watershed Sciences


Standard procedure identifier
Value Document


Evaluation type  direct external
Evaluation method see documentation from Watershed Sciences
Evaluation procedure
Title LiDAR Remote Senseing Data Collection: HJ Andrews and Willamette National Forests
Creation date 2008-11-14 00:00:00


Responsible party
Organization's name Watershed Sciences
Contact's role  originator


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/lter/data/aerial/hj_andrews_report.pdf
Function performed  download





Data quality report - Conceptual consistency
Measure description Some Lidar metrics created with the FUSION software have a 1 pixel outside edge of erroneous data. This is because the the pixels on the outside edge are not completely covered with Lidar points and FUSION will include the missing areas in the metric calculation. This includes the bare earth raster and any edge mismatch with the point cloud. Due to this issue, caution should be used with the min and max statistics of the metric raster and edge pixels may have to be removed before future analysis.


Standard procedure identifier
Value none


Evaluation type  direct external
Evaluation method Min and max values may be out of a normal range.
Evaluation procedure
Title none
Creation date 2011-04-13 00:00:00






Lineage 

Process step
When the process occurred 2008-09-01 00:00:00
Description Simultaneous with the airborne data collection mission, we conducted multiple static (1 Hz recording frequency) ground surveys over monuments with known coordinates (Table 1). Indexed by time, these GPS data are used to correct the continuous onboard measurements of aircraft position recorded throughout the mission. Multiple sessions were processed over the same monument to confirm antenna height measurements and reported position accuracy. After the airborne survey, these static GPS data were then processed using triangulation with Continuously Operating Reference Stations (CORS) stations, and checked against the Online Positioning User Service (OPUS2) to quantify daily variance. Controls were located within 13 nautical miles of the mission area(s).




Process step
When the process occurred 2008-10-01 00:00:00
Description Laser point coordinates were computed using the REALM software based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) were assigned an associated (x, y, z) coordinate along with unique intensity values (0-255). The data were output into large LAS v. 1.1 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation) information. These initial laser point files were too large for subsequent processing. To facilitate laser point processing, bins (polygons) were created to divide the dataset into manageable sizes (< 500 MB). Flightlines and LiDAR data were then reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. Laser point data were imported into processing bins in TerraScan, and manual calibration was performed to assess the system offsets for pitch, roll, heading and scale (mirror flex). Using a geometric relationship developed by Watershed Sciences, each of these offsets was resolved and corrected if necessary. LiDAR points were then filtered for noise, pits (artificial low points) and birds (true birds as well as erroneously high points) by screening for absolute elevation limits, isolated points and height above ground. Each bin was then manually inspected for remaining pits and birds and spurious points were removed. In a bin containing approximately 7.5-9.0 million points, an average of 50-100 points are typically found to be artificially low or high. Common sources of non-terrestrial returns are clouds, birds, vapor, haze, decks, brush piles, etc. Internal calibration was refined using TerraMatch. Points from overlapping lines were tested for internal consistency and final adjustments were made for system misalignments (i.e., pitch, roll, heading offsets and scale). Automated sensor attitude and scale corrections yielded 3-5 cm improvements in the relative accuracy. Once system misalignments were corrected, vertical GPS drift was then resolved and removed per flight line, yielding a slight improvement (<1 cm) in relative accuracy. The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence began by ‘removing’ all points that were not ‘near’ the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model was visually inspected and additional ground point modeling was performed in site-specific areas to improve ground detail. This manual editing of grounds often occurs in areas with known ground modeling deficiencies, such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, automated ground point classification erroneously included known vegetation (i.e., understory, low/dense shrubs, etc.). These points were manually reclassified as non-grounds. Ground surface rasters were developed from triangulated irregular networks (TINs) of ground points.




Process step
When the process occurred 2008-10-16 00:00:00
Description The LiDAR survey uses a Leica ALS50 Phase II laser system. For the HJ Andrews and Willamette NF study areas, the sensor scan angle was ±14o from nadir1 with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system) of 8 points per square meter over terrestrial surfaces. All study areas were surveyed with an opposing flight line side-lap of =50% (=100% overlap) to reduce laser shadowing and increase surface laser painting. The Leica ALS50 Phase II system allows up to four range measurements (returns) per pulse, and all discernable laser returns were processed for the output dataset. It is not uncommon for some types of surfaces (e.g. dense vegetation or water) to return fewer pulses than the laser originally emitted. These discrepancies between ‘native’ and ‘delivered’ density will vary depending on terrain, land cover and the prevalence of water bodies. To accurately solve for laser point position (geographic coordinates x, y, z), the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Aircraft position was measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude was measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for post-processing correction and calibration, aircraft/sensor position and attitude data are indexed by GPS time




Process step
When the process occurred 2008-10-16 00:00:00
Description Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Software: Waypoint GPS v.7.60 2. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data (sensor heading, position, and attitude are calculated throughout the survey). Software: IPAS v.1.4 3. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las (ASPRS v1.1) format. Software: ALS Post Processing Software 4. Import raw laser points into subset bins (less than 500 MB, to accommodate file size constraints in processing software). Perform manual relative accuracy calibration and filter for pits/birds. Classify ground points for individual flight lines (to be used for relative accuracy testing and calibration). Software: TerraScan v.7.012 5. Test relative accuracy using ground classified points per each flight line. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Perform calibrations on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration. Software: TerraMatch v.7.004 6. Import position and attitude data. Classify ground and non-ground points. Assess statistical absolute accuracy via direct comparisons of ground classified points to ground RTK survey data. Convert data to orthometric elevations (NAVD88) by applying a Geoid03 correction. Create ground model as a triangulated surface and export as ArcInfo ASCII grids at the specified pixel resolution.




Process step
When the process occurred 2011-04-13 00:00:00
Description Mean height was computed with the FUSION software. See below for an example of the GRIDMETRICS command in FUSION. Projection info was copied from the Lidar dataset. Also, a bare earth DTM was created from the Watershed Sciences 1m Bare Earth raster. This is used to normalize the Lidar points to height above ground so the height thresholds can be assessed. The GRIDMETRICS command was run with a python script (runFusion_height3.py). The Lidar data were tiled into pieces small enough to process and then clipped back to remove erronious edges. gridmetrics /minht:2 /gridxy:" + str(llx_current) + "," + str(lly_current) + "," + str(llx_current + windowSize) + "," + str(lly_current + windowSize) + " " + lidarRoot + beDTMfile + " 2 " + str(cellSize) + " " + lidarRoot + runName + " " + lidarRoot + tileNameFile)


Process contact
Individual's name Keith Olsen
Organization's name Oregon State University
Contact's position Sr. Research Assistant
Contact's role  processor


Contact information
Phone
Voice 541-990-7235

Address
Type postal
Delivery point 321 Richardson Hall
City Corvallis
Administrative area OR
Postal code 97331
Country US
e-mail addresskeith.olsen@oregonstate.edu





Process step
When the process occurred 2011-04-13 01:00:00
Description After the GRIDMETRICS command, the output DTM file needs to be loaded in ArcGIS and projected. Below is an example of that process. This is carried out by several Python commands which run a combination of FUSION and arcpy processes. DTM2ASCII cover10_5all DTM2ASCII v1.31 (FUSION v3.01) (Built on Feb 7 2012 09:36:51) DEBUG Command line: C:\fusion\dtm2ascii t:\groups\hja_lidar\keith.olsen\fusion_metrics\cover10_5al.dtm t:\groups\hja_lidar\keith.olsen\fusion_metrics\cover10_5all.asc Run started: Mon Apr 08 17:19:55 2013 ASCII grid file produced: t:\groups\hja_lidar\keith.olsen\fusion_metrics\cover10_5all.asc Apr 8, 2013 @ 5:20 PM Run finished: Mon Apr 08 17:20:40 2013 (elapsed time: 45 seconds) Done ASCII2Raster cover10_5all DefineProject t:\groups\hja_lidar\keith.olsen\fusion_metrics\cover10_5all dtm2raster Done.


Process contact
Individual's name Keith Olsen
Organization's name Oregon State University
Contact's position Sr. Research Assistant
Contact's role  processor


Contact information
Phone
Voice 541-990-7235

Address
Type postal
Delivery point 321 Richardson Hall
City Corvallis
Administrative area OR
Postal code 97331
Country US
e-mail addresskeith.olsen@oregonstate.edu





Distribution 

Distributor
Contact information
Individual's name Theresa Valentine
Organization's name Corvallis Forest Science Laboratory
Contact's position Spatial Information Manger
Contact's role  distributor


Contact information
Phone
Voice 541-750-7333
Fax 541-758-7760

Address
Type both
Delivery point 3200 SW Jefferson Way
City Corvallis
Administrative area OR
Postal code 97332
Country US
e-mail addresstvalentine@fs.fed.us or theresa.valentine@orst.edu

Hours of service m-f 8:00am-4:30pm


Ordering process
Instructions
Call contact person for instructions and costs.

Ordering process
Terms and fees none
Turnaround time as time permits
Instructions
Obtain information off of WWW site, call contact person for special
                    requests.



Distribution format
Version ArcGIS 10.0
*Name Raster Dataset


Transfer options
Online source
Locationhttp://andrewsforest.oregonstate.edu/data/studies/spatialdata/tv08111.zip
Access protocol zip file
Function performed  download

Medium of distribution
Medium name  hard disk


Fields 

Details for object ht5f_mnc 
Type raster
Definition
raster data set
Definition source
esri


Field value
 
Data type floating point
Width 10
Field description
Mean height in meters
Description source
FUSION software documentation
Description of values elevation of first return in meters






References 

Aggregate Information
Association type  cross reference


Aggregate resource name
Title LiDAR Remote Sensing Data Collection HJ Andrews and Willamette National Forest
Creation date 2008-11-14 00:00:00
Publication date 2012-11-14 00:00:00


Edition 1


Presentation formats  hardcopy document
FGDC geospatial presentation format  document


Responsible party
Organization's name Watershed Sciences
Contact's role  originator




Aggregate Information
Association type  larger work citation


Aggregate resource name
Title FUSION/LDV: Software for LIDAR Data Analysis and Visualization
Creation date 2013-08-07 00:00:00


Resource location online
Locationhttp://forsys.cfr.washington.edu/fusion/fusionlatest.html
Description  FUSION manual as PDF
Function performed  download



Metadata Details 

*Metadata language English (UNITED STATES)
Metadata character set  utf8 - 8 bit UCS Transfer Format


Scope of the data described by the metadata  dataset
Scope name* dataset


*Last update 2014-02-24


ArcGIS metadata properties
Metadata format ArcGIS 1.0
Metadata style FGDC CSDGM Metadata
Standard or profile used to edit metadata FGDC


Created in ArcGIS for the item 2013-08-09 16:16:11
Last modified in ArcGIS for the item 2014-02-24 16:23:35


Automatic updates
Have been performed Yes
Last update 2014-02-24 16:21:52

Item location history
Item copied or moved 2013-08-09 16:16:11
From T:\Groups\HJA_LIDAR\keith.olsen\Fusion_metrics\ht5f_mnc
To \\forestry\share\Groups\HJA_LIDAR\HJA_Final_Metrics\ht5f_mnc


Metadata Contacts 

Metadata contact
Individual's name Theresa Valentine
Organization's name Corvallis Forest Science Laboratory
Contact's position Spatial Information Manager
Contact's role  point of contact


Contact information
Phone
Voice 541-750-7333
Fax 541-758-7760

Address
Type both
Delivery point 3200 SW Jefferson Way
City Corvallis
Administrative area Oregon
Postal code 97332
Country US
e-mail addresstvalentine@fs.fed.us or theresa.valentine@orst.edu

Hours of service m-f 8:00am-4:00pm


Metadata Maintenance 

Maintenance
Update frequency  as needed


Scope of the updates  feature


Metadata Constraints 

Security constraints
Classification  unclassified


Thumbnail and Enclosures 

Thumbnail
Thumbnail type  JPG

FGDC Metadata (read-only) 

Entities and Attributes 

Detailed Description
Entity Type
Entity Type Labelht5f_mnc
Entity Type Definition
raster data set
Entity Type Definition Sourceesri

Attribute
Attribute Labelvalue
Attribute Definition
Mean height in meters
Attribute Definition SourceFUSION software documentation
Attribute Domain Values
Unrepresentable Domain
elevation of first return in meters