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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
Temporal
Start Date: | |
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End Date: |
Content
ReadMe.md
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
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-0.6233*θ_Scan VCC2=FCI-0.0253*θ_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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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