Grant Staben

Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach

Grant Staben, Arko Lucieer, Peter Scarth · International Journal of Applied Earth Observation and Geoinformation · 2018 · 53 citations

Landsat Tm, Tree Canopy Height, Engineering +7

Estimates of tree canopy loss as a result of Cyclone Monica, in the Magela Creek catchment northern Australia

Grant Staben, Kenneth G. Evans · Austral Ecology · 2008 · 32 citations

Storm Surge, Engineering, Geographical Information System +22

ENSO-driven extreme oscillations in mean sea level destabilise critical shoreline mangroves—An emerging threat

Norman C. Duke, Jock R. Mackenzie, Adam D. Canning et al. · PLOS Climate · 2022 · 27 citations · Full text

Engineering, Marine Systems, Oceanography +18

Empirical line calibration of WorldView-2 satellite imagery to reflectance data: using quadratic prediction equations

Grant Staben, K. Pfitzner, Renée E. Bartolo et al. · Remote Sensing Letters · 2011 · 22 citations

Empirical Line Method, Earth Observation, Environmental Monitoring +21

Obtaining biophysical measurements of woody vegetation from high resolution digital aerial photography in tropical and arid environments: Northern Territory, Australia

Grant Staben, Arko Lucieer, K. G. Evans et al. · International Journal of Applied Earth Observation and Geoinformation · 2016 · 15 citations

Engineering, Woody Vegetation, Land Use +10