MoscowMtStJoe: Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and...

Description Usage Format Source References


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.




A data frame with 165 rows and 64 columns:

Ground based measurements of trees:

Geographic Location, Slope and Aspect:

Advanced Land Imager (ALI):

LiDAR Intensity:

LiDAR Height:

LiDAR Canopy Cover:


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


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.

yaImpute documentation built on Dec. 27, 2018, 3 a.m.