CCZO -- LiDAR -- LiDAR features for the Calhoun CZO forest plots -- Calhoun CZO -- (2015-2015)

Authors:

Titta Majasalmi

Owners:

CZO Calhoun CZO National

Type:

Resource

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The size of this resource is 7.6 KB

Created:

Nov 19, 2019 at 6:16 a.m.

Last updated:

Dec 23, 2019 at 11:52 p.m.

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Single File Content

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Abstract

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

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Calhoun Experimental Forest and Eco-hydrology Experiments, Calhoun Long-Term Soil-Ecosystem Plots and Reference Areas, Calhoun CZO

North Latitude

34.6477°

East Longitude

-81.6633°

South Latitude

34.5750°

West Longitude

-81.7789°

Temporal

Start Date:	04/05/2015
End Date:	05/05/2015

Streets Terrain Satelite

Spatial Extent

Content

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Additional Metadata

Name	Value
czos	Calhoun
czo_id	4606
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-0.6233θ_Scan VCC2=FCI-0.0253θ_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
keywords	High density LiDAR, forest canopy structure, feature extraction
subtitle	LiDAR features for the Calhoun CZO forest plots
variables	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').
disciplines	GIS / Remote Sensing
related_datasets	4671, 5446
related_datasets_hs	https://www.hydroshare.org/resource/55e795093f0e443fa061b40b6928df92/, https://www.hydroshare.org/resource/cbdf5af338214abea9bd3e993aae4d01/

Related Resources

This resource is referenced by

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

How to Cite

Majasalmi, T. (2019). CCZO -- LiDAR -- LiDAR features for the Calhoun CZO forest plots -- Calhoun CZO -- (2015-2015), HydroShare, http://www.hydroshare.org/resource/0668ed25b2d14330b86aa1c2fd227640

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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