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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume VI-3/W1-2020
https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-3-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-3-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 Nov 2020
| 17 Nov 2020
A VOXEL-BASED METHOD TO ESTIMATE NEAR-SURFACE AND ELEVATED FUEL FROM DENSE LIDAR POINT CLOUD FOR HAZARD REDUCTION BURNING
J. Barton
Geospatial Research, Innovation and Development (GRID), Built Environment, UNSW, Sydney, Australia
B. Gorte
Geospatial Research, Innovation and Development (GRID), Built Environment, UNSW, Sydney, Australia
M. S. R. S. Eusuf
Geospatial Research, Innovation and Development (GRID), Built Environment, UNSW, Sydney, Australia
S. Zlatanova
Geospatial Research, Innovation and Development (GRID), Built Environment, UNSW, Sydney, Australia
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 247–254, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, 2018
A. Alattas, P. van Oosterom, S. Zlatanova, D. Hoeneveld, and E. Verbree
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 11–23, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, 2018
L. Díaz-Vilariño, L. González-deSantos, E. Verbree, G. Michailidou, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, 2018
F. Fadli, N. Kutty, Z. Wang, S. Zlatanova, L. Mahdjoubi, P. Boguslawski, and V. Zverovich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, 2018
L. Liu, B. Li, S. Zlatanova, and H. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373–378, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, 2018
E. Widyaningrum, R. C. Lindenbergh, B. G. H. Gorte, and K. Zhou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1199–1205, https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018, 2018
K. Zhou, B. Gorte, R. Lindenbergh, and E. Widyaningrum
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1229–1235, https://doi.org/10.5194/isprs-archives-XLII-2-1229-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1229-2018, 2018
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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