- Article
(1136 KB) - Metadata XML
- November 08, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-3-2024
https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-57-2024
© 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-archives-XLVIII-3-2024-57-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Nov 2024
| 07 Nov 2024
Experimental assessment of IMU data processing techniques for a backpack mobile laser scanning system
Letícia F. Castanheiro
Department of Cartography, São Paulo State University (UNESP) at Presidente Prudente, São Paulo, Brazil
Antonio M. G. Tommaselli
Department of Cartography, São Paulo State University (UNESP) at Presidente Prudente, São Paulo, Brazil
Heikki Hyyti
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland, Espoo, Finland
Antero Kukko
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland, Espoo, Finland
Related authors
Thaisa Aline Correia Garcia, Antonio Maria Garcia Tommaselli, Letícia Ferrrari Castanheiro, and Mariana Batista Campos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 177–182, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-177-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-177-2024, 2024
Mariana Batista Campos, Leticia Ferrari Castanheiro, Dipal Shah, Yunsheng Wang, Antero Kukko, and Eetu Puttonen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 43–50, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-43-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-43-2024, 2024
L. F. Castanheiro, A. M. G. Tommaselli, T. A. C. Garcia, M. B. Campos, and A. Kukko
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 71–77, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023, 2023
T. A. C. Garcia, A. M. G. Tommaselli, L. F. Castanheiro, and M. B. Campos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 155–160, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023, 2023
A. M. G. Tommaselli, T. A. C. Garcia, L. F. Castanheiro, M. B. Campos, and G. H. Santos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 503–509, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023, 2023
L. F. Castanheiro, A. M. G. Tommaselli, M. V. Machado, G. H. Santos, I. S. Norberto, and T. T. Reis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 181–187, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-181-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-181-2022, 2022
L. F. Castanheiro, A. M. G. Tommaselli, M. B. Campos, and A. Berveglieri
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 81–87, https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021, https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021, 2021
L. F. Castanheiro, A. M. G. Tommaselli, M. B. Campos, A. Berveglieri, and G. Santos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 7–12, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-7-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-7-2020, 2020
Thaisa Aline Correia Garcia, Antonio Maria Garcia Tommaselli, Letícia Ferrrari Castanheiro, and Mariana Batista Campos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 177–182, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-177-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-177-2024, 2024
Afonso Marques Albuquerque, Raphael Silva Nespolo, Antonio Maria Garcia Tommaselli, Rorai Perreira Martins-Neto, Nilton Nobuhiro Imai, Daniele Barroca Marra Alves, Tayna Aparecida Ferreira Gouveia, and Gabriel Oliveira Jerez
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 13–19, https://doi.org/10.5194/isprs-annals-X-3-2024-13-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-13-2024, 2024
Rebeca Campos Emiliano da Silva, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Rorai Pereira Martins-Neto, Daniel da Silva da Silveira, and Edemar Moro
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 69–75, https://doi.org/10.5194/isprs-annals-X-3-2024-69-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-69-2024, 2024
Clodoaldo de Souza Faria Júnior, Milton Hirokazu Shimabukuro, Antonio Maria Garcia Tommaselli, Marcos Ricardo Omena de Albuquerque Maximo, Letícia Rosim Porto, and Nilton Nobuhiro Imai
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 139–146, https://doi.org/10.5194/isprs-annals-X-3-2024-139-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-139-2024, 2024
Beatriz Cirino Lucchetta, Fernanda Sayuri Yoshino Watanabe, Nariane Marselhe Ribeiro Bernardo, Rafael de Campos Fialho, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, and Gustavo Soares Roncolato
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 215–222, https://doi.org/10.5194/isprs-annals-X-3-2024-215-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-215-2024, 2024
Isabella Subtil Norberto, Clodoaldo Souza Faria Junior, Antonio Maria Garcia Tommaselli, Milton Hirokazu Shimabukuro, Rorai Pereira Martins-Neto, Nilton Nobuhiro Imai, and Matheus Ferreira da Silva
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 269–276, https://doi.org/10.5194/isprs-annals-X-3-2024-269-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-269-2024, 2024
Maurycio R. Oviedo Espinosa, Letícia R. Porto, Vinicius S. W. Orlando, Antonio M. G. Tommaselli, Aluir P. Dal Poz, and Nilton N. Imai
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 303–308, https://doi.org/10.5194/isprs-annals-X-3-2024-303-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-303-2024, 2024
Letícia Rosim Porto, Florent Abdelghafour, Maurycio Oviedo, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, and Ryad Bendoula
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 331–337, https://doi.org/10.5194/isprs-annals-X-3-2024-331-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-331-2024, 2024
Xinming Tang, Antonio Maria Garcia Tommaselli, Tao Zhang, and Junfeng Xie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 935–935, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-935-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-935-2024, 2024
Mariana Batista Campos, Leticia Ferrari Castanheiro, Dipal Shah, Yunsheng Wang, Antero Kukko, and Eetu Puttonen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 43–50, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-43-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-43-2024, 2024
José M. Pacheco and Antonio M. G. Tommaselli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 183–190, https://doi.org/10.5194/isprs-annals-X-1-2024-183-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-183-2024, 2024
Xinming Tang, Antonio Maria Garcia Tommaselli, Tao Zhang, and Junfeng Xie
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 321–321, https://doi.org/10.5194/isprs-annals-X-1-2024-321-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-321-2024, 2024
Shannon M. Hibbard, Gordon R. Osinski, Etienne Godin, Antero Kukko, Chimira Andres, Shawn Chartrand, Anna Grau Galofre, A. Mark Jellinek, and Wendy Boucher
EGUsphere, https://doi.org/10.5194/egusphere-2024-227, https://doi.org/10.5194/egusphere-2024-227, 2024
Short summary
Short summary
This study investigates a new landform found on Axel Heiberg Island in Nunavut, Canada. Vermicular Ridge Features (VRFs) are comprised of a series of ridges and troughs creating a unique brain-like pattern. We aim to identify how VRFs form and assess the past climate conditions necessary for their formation. We use surface elevation and subsurface data to infer a formation mechanism. We propose VRFs were formed from the burial and removal of glacier ice as the glaciers were retreating.
M. V. Machado and A. M. G. Tommaselli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1073–1080, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1073-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1073-2023, 2023
L. F. Castanheiro, A. M. G. Tommaselli, T. A. C. Garcia, M. B. Campos, and A. Kukko
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 71–77, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023, 2023
T. Faitli, T. Hakala, H. Kaartinen, J. Hyyppä, and A. Kukko
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 145–150, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-145-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-145-2023, 2023
T. A. C. Garcia, A. M. G. Tommaselli, L. F. Castanheiro, and M. B. Campos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 155–160, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023, 2023
A. M. G. Tommaselli, T. A. C. Garcia, L. F. Castanheiro, M. B. Campos, and G. H. Santos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 503–509, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023, 2023
V. V. Lehtola, H. Hyyti, and T. Malkamäki
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 137–143, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022, 2022
L. R. Porto, N. N. Imai, A. M. G. Tommaselli, and L. Salvador Neto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 17–22, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-17-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-17-2022, 2022
L. F. Castanheiro, A. M. G. Tommaselli, M. V. Machado, G. H. Santos, I. S. Norberto, and T. T. Reis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 181–187, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-181-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-181-2022, 2022
L. F. Castanheiro, A. M. G. Tommaselli, M. B. Campos, and A. Berveglieri
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 81–87, https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021, https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021, 2021
Terhikki Manninen, Kati Anttila, Emmihenna Jääskeläinen, Aku Riihelä, Jouni Peltoniemi, Petri Räisänen, Panu Lahtinen, Niilo Siljamo, Laura Thölix, Outi Meinander, Anna Kontu, Hanne Suokanerva, Roberta Pirazzini, Juha Suomalainen, Teemu Hakala, Sanna Kaasalainen, Harri Kaartinen, Antero Kukko, Olivier Hautecoeur, and Jean-Louis Roujean
The Cryosphere, 15, 793–820, https://doi.org/10.5194/tc-15-793-2021, https://doi.org/10.5194/tc-15-793-2021, 2021
Short summary
Short summary
The primary goal of this paper is to present a model of snow surface albedo (brightness) accounting for small-scale surface roughness effects. It can be combined with any volume scattering model. The results indicate that surface roughness may decrease the albedo by about 1–3 % in midwinter and even more than 10 % during the late melting season. The effect is largest for low solar zenith angle values and lower bulk snow albedo values.
L. F. Castanheiro, A. M. G. Tommaselli, M. B. Campos, A. Berveglieri, and G. Santos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 7–12, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-7-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-7-2020, 2020
G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 49–54, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-49-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-49-2020, 2020
A. M. G. Tommaselli, A. Berveglieri, N. N. Imai, G. H. Santos, E. A. S. Moriya, F. S. Y. Watanabe, and L. Salvador Neto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 389–396, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-389-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-389-2020, 2020
A. Kukko, H. Kaartinen, G. Osinski, and J. Hyyppä
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 749–756, https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020, 2020
C. Sothe, L. E. C. la Rosa, C. M. de Almeida, A. Gonsamo, M. B. Schimalski, J. D. B. Castro, R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, and A. M. G. Tommaselli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 193–199, https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020, 2020
A. Berveglieri, A. M. G. Tommaselli, and L. D. Santos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 7–12, https://doi.org/10.5194/isprs-archives-XLII-2-W18-7-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-7-2019, 2019
A. M. G. Tommaselli, M. B. Campos, L. F. Castanheiro, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 167–171, https://doi.org/10.5194/isprs-archives-XLII-2-W18-167-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-167-2019, 2019
A. Berveglieri, A. M. G. Tommaselli, G. Santos, L. D. Santos, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1625–1629, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1625-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1625-2019, 2019
G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1875–1880, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1875-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1875-2019, 2019
É. A. S. Moriya, N. N. Imai, A. M. G. Tommaselli, A. Berveglieri, E. Honkavaara, M. A. Soares, and M. Marino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1881–1886, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1881-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1881-2019, 2019
N. N. Imai, A. M. G. Tommaselli, A. Berveglieri, and E. A. S. Moriya
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 371–377, https://doi.org/10.5194/isprs-archives-XLII-2-W13-371-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-371-2019, 2019
M. V. Machado, A. M. G. Tommaselli, V. M. Tachibana, R. P. Martins-Neto, and M. B. Campos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 449–454, https://doi.org/10.5194/isprs-archives-XLII-2-W13-449-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-449-2019, 2019
G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 301–305, https://doi.org/10.5194/isprs-archives-XLII-1-301-2018, https://doi.org/10.5194/isprs-archives-XLII-1-301-2018, 2018
A. M. G. Tommaselli, L. D. Santos, A. Berveglieri, R. A. Oliveira, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 429–436, https://doi.org/10.5194/isprs-archives-XLII-1-429-2018, https://doi.org/10.5194/isprs-archives-XLII-1-429-2018, 2018
Anna Grau Galofre, A. Mark Jellinek, Gordon R. Osinski, Michael Zanetti, and Antero Kukko
The Cryosphere, 12, 1461–1478, https://doi.org/10.5194/tc-12-1461-2018, https://doi.org/10.5194/tc-12-1461-2018, 2018
Short summary
Short summary
Water accumulated at the base of ice sheets is the main driver of glacier acceleration and loss of ice mass in Arctic regions. Previously glaciated landscapes sculpted by this water carry information about how ice sheets collapse and ultimately disappear. The search for these landscapes took us to the high Arctic, to explore channels that formed under kilometers of ice during the last ice age. In this work we describe how subglacial channels look and how they helped to drain an ice sheet.
Eliisa S. Lotsari, Mikel Calle, Gerardo Benito, Antero Kukko, Harri Kaartinen, Juha Hyyppä, Hannu Hyyppä, and Petteri Alho
Earth Surf. Dynam., 6, 163–185, https://doi.org/10.5194/esurf-6-163-2018, https://doi.org/10.5194/esurf-6-163-2018, 2018
Short summary
Short summary
This paper analyses the timing of topographical changes of a gravel bed ephemeral river channel during consecutive and moderate- and low-magnitude floods by applying a morphodynamic model calibrated with pre- and post-event surveys using RTK-GPS and mobile laser scanning. The channel acted as a braided river during lower flows but as a meandering river during higher flows. The channel changes can be greater during the long-lasting receding phase than during the rising phase of the floods.
N. Saarinen, M. Vastaranta, R. Näsi, T. Rosnell, T. Hakala, E. Honkavaara, M. A. Wulder, V. Luoma, A. M. G. Tommaselli, N. N. Imai, E. A. W. Ribeiro, R. B. Guimarães, M. Holopainen, and J. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 171–175, https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017, 2017
A. Berveglieri, A. M. G. Tommaselli, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 19–25, https://doi.org/10.5194/isprs-archives-XLII-3-W3-19-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-19-2017, 2017
N. N. Imai, E. A. S. Moriya, E. Honkavaara, G. T. Miyoshi, M. V. A. de Moraes, A. M. G. Tommaselli, and R. Näsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 73–79, https://doi.org/10.5194/isprs-archives-XLII-3-W3-73-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-73-2017, 2017
S. Junttila, M. Vastaranta, R. Linnakoski, J. Sugano, H. Kaartinen, A. Kukko, M. Holopainen, H. Hyyppä, and J. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 81–85, https://doi.org/10.5194/isprs-archives-XLII-3-W3-81-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-81-2017, 2017
G. T. Miyoshi, N. N. Imai, M. V. A. de Moraes, A. M. G. Tommaselli, and R. Näsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 123–128, https://doi.org/10.5194/isprs-archives-XLII-3-W3-123-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-123-2017, 2017
E. Honkavaara, T. Hakala, O. Nevalainen, N. Viljanen, T. Rosnell, E. Khoramshahi, R. Näsi, R. Oliveira, and A. Tommaselli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77–82, https://doi.org/10.5194/isprs-archives-XLI-B7-77-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-77-2016, 2016
A. M. G. Tommaselli and F. M. Torres
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 711–715, https://doi.org/10.5194/isprs-archives-XLI-B1-711-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-711-2016, 2016
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
A. M. G. Tommaselli, A. Berveglieri, R. A. Oliveira, L. Y. Nagai, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 109–115, https://doi.org/10.5194/isprs-archives-XL-3-W4-109-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-109-2016, 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.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org