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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-3-2020
https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020
© 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-V-3-2020-193-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
03 Aug 2020
| 03 Aug 2020
EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES
C. Sothe
School of Geography and Earth Sciences, M cMaster University, Canada
L. E. C. la Rosa
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Brazil
C. M. de Almeida
Division of Remote Sensing, National Institute for Space Research, Brazil
A. Gonsamo
School of Geography and Earth Sciences, M cMaster University, Canada
M. B. Schimalski
Department of Forest Engineering, Santa Catarina State University, Brazil
J. D. B. Castro
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Brazil
R. Q. Feitosa
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Brazil
M. Dalponte
Department of Sustainable Agro Agro-Ecosystems and Bioresources, Fondazione Edmund Mach, Italy
C. L. Lima
Department of Geography, Santa Catarina State University, Brazil
V. Liesenberg
Department of Forest Engineering, Santa Catarina State University, Brazil
G. T. Miyoshi
Department of Cartography, São Paulo State University, Brazil
A. M. G. Tommaselli
Department of Cartography, São Paulo State University, Brazil
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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
V. Ayma, C. Beltrán, P. N. Happ, G. A. O. P. Costa, and R. Q. Feitosa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 29–34, https://doi.org/10.5194/isprs-archives-XLII-2-W16-29-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-29-2019, 2019
R. B. Andrade, J. M. F. Santos, G. A. O. P. Costa, G. L. A. Mota, P. N. Happ, and R. Q. Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 3–8, https://doi.org/10.5194/isprs-annals-IV-2-W7-3-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-3-2019, 2019
J. A. Chamorro, J. D. Bermudez, P. N. Happ, and R. Q. Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 25–32, https://doi.org/10.5194/isprs-annals-IV-2-W7-25-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-25-2019, 2019
M. X. Ortega, J. D. Bermudez, P. N. Happ, A. Gomes, and R. Q. Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 121–128, https://doi.org/10.5194/isprs-annals-IV-2-W7-121-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-121-2019, 2019
P. J. Soto, J. D. Bermudez, P. N. Happ, and R. Q. Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 167–173, https://doi.org/10.5194/isprs-annals-IV-2-W7-167-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-167-2019, 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
J. D. Bermudez, P. N. Happ, D. A. B. Oliveira, and R. Q. Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 5–11, https://doi.org/10.5194/isprs-annals-IV-1-5-2018, https://doi.org/10.5194/isprs-annals-IV-1-5-2018, 2018
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
I. D. Sanches, R. Q. Feitosa, P. Achanccaray, B. Montibeller, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, and L. E. P. Maurano
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 387–392, https://doi.org/10.5194/isprs-archives-XLII-1-387-2018, https://doi.org/10.5194/isprs-archives-XLII-1-387-2018, 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
Tommaso Jucker, Gregory P. Asner, Michele Dalponte, Philip G. Brodrick, Christopher D. Philipson, Nicholas R. Vaughn, Yit Arn Teh, Craig Brelsford, David F. R. P. Burslem, Nicolas J. Deere, Robert M. Ewers, Jakub Kvasnica, Simon L. Lewis, Yadvinder Malhi, Sol Milne, Reuben Nilus, Marion Pfeifer, Oliver L. Phillips, Lan Qie, Nathan Renneboog, Glen Reynolds, Terhi Riutta, Matthew J. Struebig, Martin Svátek, Edgar C. Turner, and David A. Coomes
Biogeosciences, 15, 3811–3830, https://doi.org/10.5194/bg-15-3811-2018, https://doi.org/10.5194/bg-15-3811-2018, 2018
Short summary
Short summary
Efforts to protect tropical forests hinge on recognizing the ecosystem services they provide, including their ability to store carbon. Airborne laser scanning (ALS) captures information on the 3-D structure of forests, allowing carbon stocks to be mapped. By combining ALS with data from 173 field plots on the island of Borneo, we develop a simple yet general model for estimating forest carbon stocks from the air. Our model underpins ongoing efforts to restore Borneo's unique tropical forests.
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
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
P. M. A. Diaz, R. Q. Feitosa, I. D. Sanches, and G. A. O. P. Costa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 205–211, https://doi.org/10.5194/isprs-archives-XLI-B7-205-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-205-2016, 2016
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.
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