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Akademický článek

Lessonia-1 SAR time-series for identifying flooded areas

Autor: S. A. Lima, F. A. L. Costa, E. S. Bias, E. E. Sano

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-3-W3-2024, Pp 55-62 (2024)

The catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (SAR) satellite imagery has proven to be an essentia

Externí odkaz: https://doaj.org/article/367b970b4d8645c4a2b4487afbf22157

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Akademický článek

Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification

Autor: R. R. Antunes, T. Blaschke, D. Tiede, E. S. Bias, G. A. O. P. Costa, P. N. Happ

Publikováno v: GIScience & Remote Sensing, Vol 56, Iss 4, Pp 536-553 (2019)

Advances in the development of Earth observation data acquisition systems have led to the continuously growing production of remote sensing datasets, for which timely analysis has become a major challenge. In this context, distributed computing techn

Externí odkaz: https://doaj.org/article/3ed79e5410f24a97ab9d9a973ff87bfe

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Quality Analysis of the Segmentation and Object-Based Classification of an Urban GeoEye-1 Satellite Image Performed in the PostgreSQL and InterIMAGE Platforms

Autor: S. D. M. GUARDA, E. S. BIAS, E. E. SANO, E. F. CASTEJON, P. N. HAPP, R. R. ANTUNES, A. A. TEIXEIRA, R. B. SOUZA

Publikováno v: Anuário do Instituto de Geociências - UFRJ. 42:85-97

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3260b00cc2178f6d7e6711a034114c46
https://doi.org/10.11137/2019_3_85_97

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