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.
data(MoscowMtStJoe)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
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