Matthew J. Cracknell

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 2

Top Topics

Spatial Distribution

Machine Learning

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Comput. Electron. Agric.

IEEE Trans. Geosci. Remote. Sens.

Comput. Geosci.

Publications

Laura N. Sotomayor, Matthew J. Cracknell, Robert Musk
Supervised machine learning for predicting and interpreting dynamic drivers of plantation forest productivity in northern Tasmania, Australia. Comput. Electron. Agric. 209 (2023)
Declan D. G. Radford, Matthew J. Cracknell, Michael J. Roach, Grace V. Cumming
Geological Mapping in Western Tasmania Using Radar and Random Forests. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (9) (2018)
Matthew J. Cracknell, Anya M. Reading
Spatial-Contextual Supervised Classifiers Explored: A Challenging Example of Lithostratigraphy Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (3) (2015)
Matthew J. Cracknell, Anya M. Reading
Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information. Comput. Geosci. 63 (2014)
Matthew J. Cracknell, Michael Roach, David Green, Arko Lucieer
Estimating Bedding Orientation From High-Resolution Digital Elevation Models. IEEE Trans. Geosci. Remote. Sens. 51 (5-2) (2013)