Finley, Andrew O., Banerjee, Sudipto, Cook, Bruce D., Bradford, John B. (2013) Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. International Journal of Applied Earth Observation and Geoinformation, 22. 147-160 doi:10.1016/j.jag.2012.04.007

See Also

These are possibly similar items as determined by title/reference text matching only.

	Finley, Andrew O., Banerjee, Sudipto, Zhou, Yuzhen, Cook, Bruce D., Babcock, Chad (2017) Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment, 190. 149-161 doi:10.1016/j.rse.2016.12.004
	Eidsvik, Jo, Finley, Andrew O., Banerjee, Sudipto, Rue, Håvard (2012) Approximate Bayesian inference for large spatial datasets using predictive process models. Computational Statistics & Data Analysis, 56 (6). 1362-1380 doi:10.1016/j.csda.2011.10.022
	Finley, Andrew O., Banerjee, Sudipto, McRoberts, Ronald E. (2009) Hierarchical spatial models for predicting tree species assemblages across large domains. The Annals of Applied Statistics, 3 (3) 1052-1079 doi:10.1214/09-aoas250
	Sun, Chuanliang, Cao, Sen, Sanchez-Azofeifa, G. Arturo (2019) Mapping tropical dry forest age using airborne waveform LiDAR and hyperspectral metrics. International Journal of Applied Earth Observation and Geoinformation, 83. 101908pp. doi:10.1016/j.jag.2019.101908
	Finley, Andrew O., Banerjee, Sudipto, Waldmann, Patrik, Ericsson, Tore (2009) Hierarchical Spatial Modeling of Additive and Dominance Genetic Variance for Large Spatial Trial Datasets. Biometrics, 65 (2). 441-451 doi:10.1111/j.1541-0420.2008.01115.x
	Onojeghuo, Alex Okiemute, Onojeghuo, Ajoke Ruth (2017) Object-based habitat mapping using very high spatial resolution multispectral and hyperspectral imagery with LiDAR data. International Journal of Applied Earth Observation and Geoinformation, 59. 79-91 doi:10.1016/j.jag.2017.03.007
	Mitri, George H., Gitas, Ioannis Z. (2013) Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery. International Journal of Applied Earth Observation and Geoinformation, 20. 60-66 doi:10.1016/j.jag.2011.09.001
	Banerjee, Sudipto, Finley, Andrew O., Waldmann, Patrik, Ericsson, Tore (2010) Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials. Journal of the American Statistical Association, 105 (490). 506-521 doi:10.1198/jasa.2009.ap09068
	Degerickx, J., Roberts, D.A., McFadden, J.P., Hermy, M., Somers, B. (2018) Urban tree health assessment using airborne hyperspectral and LiDAR imagery. International Journal of Applied Earth Observation and Geoinformation, 73. 26-38 doi:10.1016/j.jag.2018.05.021
	Heinzel, Johannes, Koch, Barbara (2011) Exploring full-waveform LiDAR parameters for tree species classification. International Journal of Applied Earth Observation and Geoinformation, 13 (1). 152-160 doi:10.1016/j.jag.2010.09.010
	Datta, Abhirup, Banerjee, Sudipto, Finley, Andrew O., Gelfand, Alan E. (2016) Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association, 111 (514). 800-812 doi:10.1080/01621459.2015.1044091