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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-4/W5-2024
https://doi.org/10.5194/isprs-annals-X-4-W5-2024-137-2024
© Author(s) 2024. 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-X-4-W5-2024-137-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Jun 2024
| 27 Jun 2024
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Claire Ellul
University College London, UK
Richard Loo
Singapore Lands Authority, Singapore
George Floros
Skanksa, London, UK
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1339–1346, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1339-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1339-2019, 2019
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 1–2, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, 2018
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W11, 1–2, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, 2018
K. Wong and C. Ellul
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 89–96, https://doi.org/10.5194/isprs-annals-IV-4-W6-89-2018, https://doi.org/10.5194/isprs-annals-IV-4-W6-89-2018, 2018
C. Ellul, J. Stoter, L. Harrie, M. Shariat, A. Behan, and M. Pla
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 19–26, https://doi.org/10.5194/isprs-archives-XLII-4-W10-19-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-19-2018, 2018
G. S. Floros, C. Ellul, and E. Dimopoulou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 33–40, https://doi.org/10.5194/isprs-archives-XLII-4-W10-33-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-33-2018, 2018
E. Muñumer Herrero, C. Ellul, and J. Morley
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 119–126, https://doi.org/10.5194/isprs-archives-XLII-4-W10-119-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-119-2018, 2018
J. Pouliot, S. Larrivée, C. Ellul, and A. Boudhaim
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 157–164, https://doi.org/10.5194/isprs-archives-XLII-4-W10-157-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-157-2018, 2018
M. A. Swiderska and C. Ellul
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 193–200, https://doi.org/10.5194/isprs-archives-XLII-4-W10-193-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-193-2018, 2018
R. van Son, S. W. Jaw, J. Yan, V. Khoo, R. Loo, S. Teo, and G. Schrotter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 209–214, https://doi.org/10.5194/isprs-archives-XLII-4-W10-209-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-209-2018, 2018
K. Wong and C. Ellul
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 125–132, https://doi.org/10.5194/isprs-annals-IV-4-W5-125-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-125-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W3, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W3, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, 2017
C. Ellul, J. P. de Almeida, and R. Romano
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 55–62, https://doi.org/10.5194/isprs-annals-IV-2-W1-55-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-55-2016, 2016
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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