Mayoral, A.; Toumazet, J.-P.; Simon, F.-X.; Vautier, F.; Peiry, J.-L.
The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping. Remote Sens. 2017, 9, 120.
https://doi.org/10.3390/rs9020120
AMA Style
Mayoral A, Toumazet J-P, Simon F-X, Vautier F, Peiry J-L.
The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping. Remote Sensing. 2017; 9(2):120.
https://doi.org/10.3390/rs9020120
Chicago/Turabian Style
Mayoral, Alfredo, Jean-Pierre Toumazet, François-Xavier Simon, Franck Vautier, and Jean-Luc Peiry.
2017. "The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping" Remote Sensing 9, no. 2: 120.
https://doi.org/10.3390/rs9020120
APA Style
Mayoral, A., Toumazet, J.-P., Simon, F.-X., Vautier, F., & Peiry, J.-L.
(2017). The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping. Remote Sensing, 9(2), 120.
https://doi.org/10.3390/rs9020120