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

OVERVIEW

Description/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

Creator/Author

Majasalmi, Titta

CZOs

Calhoun

Contact

Titta Majasalmi, Department of Forest Sciences, University of Helsinki, P.O. Box 27, Helsinki, Finland, titta.majasalmi@helsinki.fi

Subtitle

LiDAR features for the Calhoun CZO forest plots

SUBJECTS

Disciplines

GIS / Remote Sensing

Topics

LiDAR

Subtopic

LiDAR features for the Calhoun CZO forest plots

Keywords

High density LiDAR|forest canopy structure|feature extraction

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').

Variables ODM2

Lidar|Canopy Closure|Elevation|Latitude|Longitude

TEMPORAL

Date Start

2015-04-05

Date End

2015-05-05

SPATIAL

Field Areas

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

Location

Calhoun CZO

North latitude

34.64774494

South latitude

34.57495247

West longitude

-81.77893686

East longitude

-81.66329492

REFERENCE

Publications of this data

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

CZO ID

4606

Related datasets

CCZO -- LiDAR -- Hyperspectral and LiDAR Survey -- Calhoun CZO -- (2014)

CCZO -- LiDAR -- LiDAR Leaf-Off Survey -- Calhoun CZO -- (2016)

COMMENTS

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*θ_Scan

VCC2=FCI-0.0253θ_ScanF_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