BCEF.rda: Forest Canopy Height from NASA Goddard's LiDAR Hyperspectral...

In spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

Forest Canopy Height from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT) over Bonanza Creek Experimental Forest

Description

Forest canopy height (FCH) estimates from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT; Cook et al. 2013) Airborne Imager and percent tree cover (Hansen et al. 2013) over a subset of Bonanza Creek Experimental Forest, AK, collected in Summer 2014.

The BCEF matrix columns are longitude (x), latitude (y), forest canopy height (FCH) in meters from ground, and Landsat derived percent tree cover (PTC) for 188,717 observations. Longitude and latitude are in Albers Equal Area (proj4string "+proj=aea +lat_1=55 +lat_2=65 +lat_0=50 +lon_0=-154 +x_0=0 +y_0=0 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=km +no_defs"). The last column (holdout) identifies a subset of data useful for assessing wall-to-wall predictive performance.

Usage

data(BCEF)

Format

A matrix containing 188,717 rows and 6 columns named longitude, latitude, FCH, PTC, and holdout.

Source

G-LiHT data were downloaded from https://gliht.gsfc.nasa.gov.

References

Cook, B.D., L.W. Corp, R.F. Nelson, E.M. Middleton, D.C. Morton, J.T. McCorkel, J.G. Masek, K.J. Ranson, and V. Ly. (2013) NASA Goddard's Lidar, Hyperspectral and Thermal (G-LiHT) airborne imager. Remote Sensing 5:4045-4066.

Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A.,Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., and Townshend, J.R.G. (2013), High-Resolution Global Mapsof 21st-Century Forest Cover Change, Science, 342, 850-853.

spNNGP documentation built on June 27, 2022, 5:06 p.m.