Zobrazeno 1 - 10
of 122
pro vyhledávání: '"V. Liesenberg"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 279-284 (2021)
The adoption of 3D survey techniques is essential to promote efficient and timely information acquisition on constructed buildings. This article addresses terrestrial LiDAR (TLS) and close-range photogrammetric data fusion for the 3D modeling of a bu
Externí odkaz:
https://doaj.org/article/a2eaa3d99f1b43ce859f7b0d85b140a4
Autor:
D. L. Torres, R. Q. Feitosa, L. E. C. La Rosa, P. N. Happ, J. Marcato Junior, W. N. Gonçalves, J. Martins, V. Liesenberg
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 355-360 (2020)
Knowing the spatial distribution of endangered tree species in a forest ecosystem or forest remnants is a valuable information to support environmental conservation practices. The use of Unmanned Aerial Vehicles (UAVs) offers a suitable alternative f
Externí odkaz:
https://doaj.org/article/3cd168c2ac7941c499bb59ebe311153f
Autor:
N. V. Estrabis, L. Osco, A. P. Ramos, W. N. Gonçalves, V. Liesenberg, H. Pistori, J. Marcato Junior
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 303-308 (2020)
Google Earth Engine (GEE) platform is an online tool, which generates fast solutions in terms of image classification and does not require high performance computers locally. We investigate several data input scenarios for mapping native-vegetation a
Externí odkaz:
https://doaj.org/article/606034bbb0324990aca1cae1a85dcb3d
Autor:
F. A. A. Rodrigues, J. S. Nobre, R. Vigélis, V. Liesenberg, R. C. P. Marques, F. N. S. Medeiros
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 499-503 (2020)
Synthetic aperture radar (SAR) image processing and analysis rely on statistical modeling and parameter estimation of the probability density functions that characterize data. The method of log-cumulants (MoLC) is a reliable alternative for parameter
Externí odkaz:
https://doaj.org/article/b55d08c23777418d8dd4687c127d80ec
Autor:
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, A. M. G. Tommaselli
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 193-199 (2020)
The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced feature extraction and classification methods. Different from the traditional
Externí odkaz:
https://doaj.org/article/e20a313bf38b49d3a3faf179e4b70c15
Autor:
C. Sothe, C. M. De Almeida, M. B. Schimalski, L. E. C. La Rosa, J. D. B. Castro, R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, A. M. G. Tommaselli
Publikováno v:
GIScience & Remote Sensing, Vol 57, Iss 3, Pp 369-394 (2020)
The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced classification methods. This study investigated the following topics concerni
Externí odkaz:
https://doaj.org/article/24a5154f15c44a47b6f4b3c96725bbad
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 551-556 (2015)
The capability of L-band radar backscatter to penetrate through the forest canopy is useful for mapping the forest structure, including above ground biomass (AGB) estimation. Recent studies confirmed that the empirical AGB models generated from the L
Externí odkaz:
https://doaj.org/article/bb73b37c14a74a53803902224c848a22
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.