Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Natalia Procksch"'
Autor:
Enrique Alberto Crespo, Marcelo Zagonel, Guido Pavez, M. Florencia Grandi, Paulo A. C. Flores, Natalia Procksch, Paulo Henrique Ott, Karina R. Groch, Larissa Rosa de Oliveira, Murilo Guimarães, Rodrigo Machado, Mauricio Roberto Veronez
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Scientific Reports
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Scientific Reports
We present estimates of the seasonal and spatial occupation by pinnipeds of the Wildlife Refuge of Ilha dos Lobos (WRIL), based on aerial photographic censuses. Twenty aerial photographic censuses were analysed between July 2010 and November 2018. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bbb25e0930895cc2cb2097ea2f9c5c
http://link.springer.com/article/10.1038/s41598-020-76755-2
http://link.springer.com/article/10.1038/s41598-020-76755-2
Autor:
André L. D. Spigolon, Daniel Danilewicz, Luiz Gonzaga, Natalia Bragiola Berchieri, Mauricio Roberto Veronez, Natalia Procksch, Larissa Rosa de Oliveira, Alysson Soares Aires, Rafael Kenji Horota, Leonardo Bachi, Graciela Racolte, Paulo Henrique Ott
Publikováno v:
IGARSS
The present study explores the capabilities of a low-cost and standard drone for the generation of a mixed dataset processed as an orthophotomosaic, and surface exposure mesh over the inaccessible wave-washed Wildlife Refuge of Ilha dos Lobos in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90d2a3d525bd3d6e0e9ba809e438a35a
https://doi.org/10.1109/igarss47720.2021.9555058
https://doi.org/10.1109/igarss47720.2021.9555058
Autor:
Natalia Procksch, Mauricio Roberto Veronez, Gefersom C. Lima, Caroline M. Carvalho, Larissa Oliveira Gonçalves, Fabio Viegas, Marianne Muller, Eniuce Menezes de Souza, Izidoro Sarmento do Amaral, Guilherme Pinto Cauduro, Vanessa S. Silva, Diego Brum, Guilherme T. Conrado, Claudio J. A. Nhanga, Julia Dias, Luiz Gonzaga
Publikováno v:
IGARSS
This work proposes a deep learning and GIS based workflow to assess the influence of highway barriers on wildlife collisions. Our work consists of using Convolutional Neural Networks to classify images extracted automatically from Google Street View
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7284d77e40ca9abfb0bb6073948479b0
https://doi.org/10.1109/igarss39084.2020.9323722
https://doi.org/10.1109/igarss39084.2020.9323722