Dataset Identification:

Resource Abstract:
LiDAR features for the Calhoun CZO forest plots Dataset includes LiDAR features for 35 forest plots located at the Calhoun CZO. Both LiDAR data acquisition and field measurements using LAI-2000 (LI-COR, 1992) were performed during summer 2014. LAI-2000 is an optical device used to estimate Leaf Area Index (LAI, hemisurface area of foliage per unit horizontal ground surface area) and canopy gap fraction at five zenith angles. The LiDAR data were processed to match with the LAI-2000 measurements, and thus LiDAR returns arriving at angles more than 15 degrees were excluded before any calculations were performed. Processing chain of LiDAR data included: 1) merging .las files which have forest plots near the edges, 2) calculating the ground surface, 3) removing noise, 4) removing duplicates, 5) extracting returns for the forest plots using a 15-m circle, 6) excluding returns arriving at an angle bigger than 15 degrees, 7) calculation of return heights, 8) classifying returns to ground and vegetation based on return heights (limit set to 1.37-m), 9) calculation of LiDAR features for all forest plots. The LiDAR features provided in this dataset are updated version of those presented earlier by Majasalmi et al. (2015). References: Majasalmi, T., Palmroth, S., Cook, W., Brecheisen, Z., Richter, D. (2015): Estimation of LAI, fPAR and AGB based on data from Landsat 8 and LiDAR at the Calhoun CZO. Calhoun CZO 2015 Summer Science Meeting. http://criticalzone.org/calhoun/publications/pub/majasalmi-et-al-2015-estimation-of-lai-fpar-and-agb-based-on-data-from-land/ LI-COR, 1992. LAI-2000 Plant Canopy Analyzer, Instruction manual. ftp://ftp.licor.com/perm/env/LAI-2000/Manual/LAI-2000_Manual.pdf COMMENTS: Definitions: cov = The canopy cover is computed as the number of first returns above the height cutoff divided by the number of all first returns and output as a percentage. dns = canopy density is computed as the number of points above the height cutoff divided by the number of all returns. For more details see Korhonen and Morsdorf, 2013: FCI = First echo cover index: FCI=((??Single?_Canopy+??First?_Canopy))/((??Single?_All+??First?_All)) VCC1 and VCC2 = Vertical canopy cover indices: VCC1=FCI-0.6233*?_Scan VCC2=FCI-0.0253*?_Scan*F_Max SCI = near-vertical canopy closure or Solberg's cover index: SCI=??Single?_Canopy+0.5 ((??First?_Canopy+??Last?_Canopy ))/(??Single?_All )+0.5(??First?_All+??Last?_All ) ACI = All echo cover index, similar to FCI, but take into account all echo types above the height threshold: ACI=(??All?_Canopy)/(?All) Korhonen, L., Morsdorf, F. 2013. Estimation of canopy cover, gap fraction and leaf area index with airborne laser scanning, chapter 20 in Forestry applications of airborne laser scanning concepts and case studies, pp.397-413, Springer. http://link.springer.com/chapter/10.1007/978-94-017-8663-8_20
Citation
Title Calhoun CZO - LiDAR - LiDAR features for the Calhoun CZO forest plots (2015)
publication  Date   2015-11-30
revision  Date   2015-11-30
creation  Date   2015-10-12
other Citation Details  Majasalmi, LiDAR features for the Calhoun CZO forest plots, 2015, http://criticalzone.org/calhoun/data/dataset/4606/
Topic Category:  environment
Discipline keywords:
GIS / Remote Sensing
Theme keywords (theme):
High density LiDAR
forest canopy structure
feature extraction
LiDAR
Theme keywords (theme):
latitude ('lat')
longitude ('long')
'elevation'
'lat(Y)_NAD83 UTM 17N'
'long(X)_NAD83 UTM 17N'
minimum return height('min_h')
maximum return height ('max_h')
average return height ('avg_h')
standard deviation of all returns ('std_h')
LiDAR return height percentiles ('p05' to'p90')
canopy cover ('cov'
see details below)
canopy density ('dns'
see details below)
(FIC'
see details below )
minimum scan angle ('min_scan')
maximum scan angle ('max_scan')
average scan angle ('avg_scan_angle')
number of returns ('N_returns')
number of returns from vegetatation ('Nveg'
see detail below)
and number of return from ground ('Nground').
Location keywords:
Calhoun CZO
Calhoun Eco-hydrology Experiments
Calhoun Long-Term Soil-Ecosystem Plots and Reference Areas
Theme keywords (theme):
thesaurus name >
Title Activity > Observation
publication  Date   2017-01-13
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Title Property > Measure
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Title Material > Chemical
publication  Date   2017-01-13
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Title Equipment > Satellites
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Title Material > Biological Material
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Title Feature > Physiographic Feature
publication  Date   2017-01-13
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Title Realm > Geosphere
publication  Date   2017-01-13
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Title Activity > Meeting
publication  Date   2017-01-13
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Title Method > Information Processing
publication  Date   2017-01-13
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Title Activity > experimental process
publication  Date   2017-01-13
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Title Equipment > Instrument
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Title Resource Type > Data Set
publication  Date   2017-01-13
other Citation Details  Cinergi keyword enhanced at Fri Jan 13 22:53:14 UTC 2017
Theme keywords (theme):
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Title Feature > Environmental Feature
publication  Date   2017-01-13
other Citation Details  Cinergi keyword enhanced at Fri Jan 13 22:53:14 UTC 2017
Resource language:  en
Constraints on resource usage:
Legal Constraints
Other constraints
CZO DATA USE POLICY. DRAFT v.0.3.5. SUMMARY VERSION. For full details, see http://criticalzone.org/national/data/access-czo-data-1national/ (1) USE OUR DATA FREELY. All CZO Data Products, except those labelled "Private", are released to the public and may be freely used under the condition that you give acknowledgement. Non-CZO data products like those produced by USGS or NOAA have their own use policies, which should be followed. (2) GIVE PROPER ACKNOWLEDGEMENT. Publications, models and data products that make use of these datasets must include proper acknowledgement. (3) LET US KNOW HOW YOU WILL USE THE DATA. The dataset creators would appreciate hearing of any plans to use the dataset.
Resource extent
Geographic Extent
Geographic Bounding Box
westBoundLongitude  -81.77893686
eastBoundLongitude  -81.66329492
northBoundLatitude  34.64774494
southBoundLatitude  34.57495247
Temporal Extent
2015-04-05 2015-05-05
point of contact - author
individual Name Majasalmi, Titta
point of contact - author
individual Name Titta Majasalmi
organisation Name  Calhoun Critical Zone Observatory
position Name INVESTIGATOR, PostDoc, Visiting/Affiliate.
Contact information
Address
electronic Mail Addresstitta.majasalmi@helsinki.fi
point of contact - pointOfContact
individual Name Titta Majasalmi, Department of Forest Sciences, University of Helsinki, P.O. Box 27, Helsinki, Finland, titta.majasalmi@helsinki.fi
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Reference system information

Reference System Identifier
Identifier string: 4326
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Digital Transfer Options
Linkage for online resource
name Calhoun CZO - LiDAR - LiDAR features for the Calhoun CZO forest plots (2015)
URL:http://criticalzone.org/national/data/dataset/4606/
link function information
Description CZO Dataset (aggregate)
Linkage for online resource
name Calhoun Experimental Forest - Remote sensing of Vegetation
URL:https://nicholas.duke.edu/cczo/data/#lidar_calhoun_titta_2015.csv
link function download
Description CZO Dataset Component
Linkage for online resource
name Majasalmi, T., Palmroth, S., Cook, W., Brecheisen, Z., Richter, D. (2015). Estimation of LAI, fPAR and AGB based on data from Landsat 8 and LiDAR at the Calhoun CZO. Calhoun CZO 2015 Summer Science Meeting
URL:http://criticalzone.org/national/publications/pub/majasalmi-et-al-2015-estimation-of-lai-fpar-and-agb-based-on-data-from-land
link function information
Description Primary Publication (CZO Link)
Metadata data stamp:  2015-11-30
Metadata contact - pointOfContact
organisation Name  Calhoun Critical Zone Observatory
Contact information
Address
electronic Mail Addresscwcook@duke.edu
electronic Mail Addressdrichter@duke.edu
Metadata scope code  dataset
Metadata language  en
Metadata standard for this record:  ISO 19139/19115 Metadata for Datasets
standard version:  2003
Metadata record identifier:  {bc8c04b8-28cb-3e1f-ae9f-232c895bfc37}
URI for dataset described: > http://criticalzone.org/national/data/dataset/4606

Metadata record format is ISO19139-2 XML (MI_Metadata)