Last data update: 2014.03.03

R: Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and...
MoscowMtStJoeR Documentation

Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data

Description

Data used to compare the utility of discrete-return light detection and ranging (LiDAR) data and multispectral satellite imagery, and their integration, for modeling and mapping basal area and tree density across two diverse coniferous forest landscapes in north-central Idaho, USA.

Usage

data(MoscowMtStJoe)

Format

A data frame with 165 rows and 64 columns:

Ground based measurements of trees:

  • ABGR_BA Basal area (m^2/ha) of ABGR

  • ABLA_BA Basal area (m^2/ha) of ABLA

  • ACGL_BA Basal area (m^2/ha) of ACGL

  • BEOC_BA Basal area (m^2/ha) of BEOC

  • LAOC_BA Basal area (m^2/ha) of LAOC

  • PICO_BA Basal area (m^2/ha) of PICO

  • PIEN_BA Basal area (m^2/ha) of PIEN

  • PIMO_BA Basal area (m^2/ha) of PIMO

  • PIPO_BA Basal area (m^2/ha) of PIPO

  • POBA_BA Basal area (m^2/ha) of POBA

  • POTR_BA Basal area (m^2/ha) of POTR

  • PSME_BA Basal area (m^2/ha) of PSME

  • SAEX_BA Basal area (m^2/ha) of SAEX

  • THPL_BA Basal area (m^2/ha) of THPL

  • TSHE_BA Basal area (m^2/ha) of TSHE

  • TSME_BA Basal area (m^2/ha) of TSME

  • UNKN_BA Basal area (m^2/ha) of unknown species

  • Total_BABasal area (m^2/ha) total over all species

  • ABGR_TD Trees per ha of ABGR

  • ABLA_TD Trees per ha of ABLA

  • ACGL_TD Trees per ha of ACGL

  • BEOC_TD Trees per ha of BEOC

  • LAOC_TD Trees per ha of LAOC

  • PICO_TD Trees per ha of PICO

  • PIEN_TD Trees per ha of PIEN

  • PIMO_TD Trees per ha of PIMO

  • PIPO_TD Trees per ha of PIPO

  • POBA_TD Trees per ha of POBA

  • POTR_TD Trees per ha of POTR

  • PSME_TD Trees per ha of PSME

  • SAEX_TD Trees per ha of SAEX

  • THPL_TD Trees per ha of THPL

  • TSHE_TD Trees per ha of TSHE

  • TSME_TD Trees per ha of TSME

  • UNKN_TD Trees per ha of unknown species

  • Total_TDTrees per ha total over all species

Geographic Location, Slope and Aspect:

  • EASTING UTM (Zone 11) easting at plot center

  • NORTHING UTM (Zone 11) northing at plot center

  • ELEVATIONMean elevation (m) above sea level over plot

  • SLPMEAN Mean slope (percent) over plot

  • ASPMEAN Mean aspect (degrees) over plot

Advanced Land Imager (ALI):

  • B1MEAN Mean of 30 m ALI band 1 pixels intersecting plot

  • B2MEAN Mean of 30 m ALI band 2 pixels intersecting plot

  • B3MEAN Mean of 30 m ALI band 3 pixels intersecting plot

  • B4MEAN Mean of 30 m ALI band 4 pixels intersecting plot

  • B5MEAN Mean of 30 m ALI band 5 pixels intersecting plot

  • B6MEAN Mean of 30 m ALI band 6 pixels intersecting plot

  • B7MEAN Mean of 30 m ALI band 7 pixels intersecting plot

  • B8MEAN Mean of 30 m ALI band 8 pixels intersecting plot

  • B9MEAN Mean of 30 m ALI band 9 pixels intersecting plot

  • PANMEANMean of 10 m PAN band pixels intersecting plot

  • PANSTD Standard deviation of 10 m PAN band pixels intersecting plot

LiDAR Intensity:

  • INTMEANMean of 2 m intensity pixels intersecting plot

  • INTSTD Standard deviation of 2 m intensity pixels intersecting plot

  • INTMIN Minimum of 2 m intensity pixels intersecting plot

  • INTMAX Maximum of 2 m intensity pixels intersecting plot

LiDAR Height:

  • HTMEANMean of 6 m height pixels intersecting plot

  • HTSTD Standard deviation of 6 m height pixels intersecting plot

  • HTMIN Minimum of 6 m height pixels intersecting plot

  • HTMAX Maximum of 6 m height pixels intersecting plot

LiDAR Canopy Cover:

  • CCMEANMean of 6 m canopy cover pixels intersecting plot

  • CCSTD Standard deviation of 6 m canopy cover pixels intersecting plot

  • CCMIN Minimum of 6 m canopy cover pixels intersecting plot

  • CCMAX Maximum of 6 m canopy cover pixels intersecting plot

Source

Dr. Andrew T. Hudak
USDA Forest Service
Rocky Mountain Research Station
1221 South Main
Moscow, Idaho, USA 83843

References

Hudak, A.T.; Crookston, N.L.; Evans, J.S.; Falkowski, M.J.; Smith, A.M.S.; Gessler, P.E.; Morgan, P. (2006). Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data. Can. J. Remote Sensing. 32(2):126-138. http://www.treesearch.fs.fed.us/pubs/24612

Results