Zobrazeno 1 - 5
of 5
pro vyhledávání: '"M. B. Schimalski"'
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:
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
Autor:
E. B. de Oliveira, V. Picinatto Filho, Carla Talita Pertille, V. Liesenberg, M. B. Schimalski, F. das D. A. Miranda
Publikováno v:
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Essa pesquisa objetivou ajustar modelos de regressão e classificação utilizando os índices de vegetação (IV) mais robustos derivados a partir de imagens digitais de Sentinel-2/MSI para a detecção de áreas atacadas por Sapajus nigritus. Os da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdfe4a3b680e8254dc51dc47f4c3ccba
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1130910
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1130910
