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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-3-2024
https://doi.org/10.5194/isprs-annals-X-3-2024-13-2024
© 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-3-2024-13-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 Nov 2024
| 04 Nov 2024
Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory
Afonso Marques Albuquerque
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
Raphael Silva Nespolo
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
Antonio Maria Garcia Tommaselli
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
Rorai Perreira Martins-Neto
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Nilton Nobuhiro Imai
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
Daniele Barroca Marra Alves
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
Tayna Aparecida Ferreira Gouveia
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
Gabriel Oliveira Jerez
Faculty of Science and Technology, São Paulo State University, Presidente Prudente, Brazil
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A. Berveglieri and A. M. G. Tommaselli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 45–50, https://doi.org/10.5194/isprs-archives-XL-3-W4-45-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-45-2016, 2016
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