Zobrazeno 1 - 4
of 4
pro vyhledávání: '"W. N. Gonçalves"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 349-353 (2020)
Urban forests are crucial for the population well-being and improvement of the quality of life. For example, they contribute to the rain damping and to the improvement of the local climate. Therefore a correct and accurate mapping of this resource is
Externí odkaz:
https://doaj.org/article/f8cb266849b44e528fbd349620120781
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:
T. S. Akiyama, J. Marcato Junior, W. N. Gonçalves, P. O. Bressan, A. Eltner, F. Binder, T. Singer
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 1189-1193 (2020)
The use of deep learning (DL) with convolutional neural networks (CNN) to monitor surface water can be a valuable supplement to costly and labour-intense standard gauging stations. This paper presents the application of a recent CNN semantic segmenta
Externí odkaz:
https://doaj.org/article/52d44b0273f94c40934a2a00432d24c7