Methods of sensitivity analysis in remote sensing: implications for canopy reflectance model inversion. - P. Bowyer; F. Mark Danson; N. M. Trodd (IGARSS, 2003)

Sensitivity of remotely sensed reflectance to variation in fuel moisture content at leaf and canopy scale. - F. Mark Danson; P. Bowyer (IGARSS, 2003)

Remote sensing for disease transmission: small mammal and vegetation interactions. - A. J. Graham; F. Mark Danson; David R. J. Pleydell (IGARSS, 2003)

Mapping HAE disease risk using remotely sensed data. - David R. J. Pleydell; A. Graham; F. Mark Danson; P. S. Craig; F. Raoul; F. Tourneux; Patrick Giraudoux (IGARSS, 2003)

Forest Canopy Gap Fraction From Terrestrial Laser Scanning. - F. Mark Danson; David Hetherington; Felix Morsdorf; Benjamin Koetz; Britta Allgöwer (IEEE Geosci. Remote. Sens. Lett., 2007)

Terrestrial laser scanning to estimate plot-level forest canopy fuel properties. - Mariano García; F. Mark Danson; David Riaño 002; Emilio Chuvieco; F. Alberto Ramirez; Vishal Bandugula (Int. J. Appl. Earth Obs. Geoinformation, 2011)

Testing the Application of Terrestrial Laser Scanning to Measure Forest Canopy Gap Fraction. - F. Alberto Ramirez; Richard P. Armitage; F. Mark Danson (Remote. Sens., 2013)

Angular Reflectance of Leaves With a Dual-Wavelength Terrestrial Lidar and Its Implications for Leaf-Bark Separation and Leaf Moisture Estimation. - Steven Hancock; Rachel Gaulton; F. Mark Danson (IEEE Trans. Geosci. Remote. Sens., 2017)

Stage 1 Validation of Plant Area Index From the Global Ecosystem Dynamics Investigation. - Luke A. Brown; Harry Morris; Courtney Meier; Alexander Knohl; Christian Lanconelli; Nadine Gobron; Jadunandan Dash; F. Mark Danson (IEEE Geosci. Remote. Sens. Lett., 2023)