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Filipe Castro Félix

Observed names: FILIPE C. FELIX, Felix, Filipe Castro, Filipe C. Felix, Filipe Castro FELIX, Filipe Castro Felix, Filipe Felix
ORCID: 0000-0002-9442-0166
Observed ORCID: 0000-0002-9442-0166
OpenAlex ID: A5029819757
Improving RUSLE predictions through UAV-based soil cover management factor (C) assessments: A novel approach for enhanced erosion analysis in sugarcane fields
2023 · Filipe C. Felix, Bernardo M. Cândido, et al. · Journal of Hydrology · 17
How suitable are vegetation indices for estimating the (R)USLE C-factor for croplands? A case study from Southeast Brazil
2023 · Filipe Castro Felix, Bernardo M. Cândido, et al. · ISPRS Open Journal of Photogrammetry and Remote Sensing · 15
Mammals in forest remnants of an ecotonal Atlantic Forest-Cerrado area from southeastern Brazil
2017 · Rafael De Souza Laurindo, Roberto Leonan M. Novaes, et al. · Neotropical Biology and Conservation · 11
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Seasonal behavior of vegetation determined by sensor on an unmanned aerial vehicle
2021 · FILIPE C. FELIX, FABIO A.P. AVALOS, et al. · Anais da Academia Brasileira de Ciências · 7
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Comparing Pixel- and Object- Based Forest Canopy Gaps Classification Using Low-cost Unmanned Aerial Vehicle Imagery
2021 · Filipe Castro FELIX, Velibor SPALEVIC, et al. · The Journal Agriculture and Forestry · 6
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Cross-temporal domain generalization approach combined with self-organizing-maps for classifying MODIS time series data
2025 · Daniel H. Shibuya, Júlio C.D.M. Esquerdo, et al. · International Journal of Remote Sensing · 1
Mapeamento da cobertura vegetal a partir de imagens de alta resolução obtidas por VANT
2017 · Filipe Castro Felix, Fabio Arnaldo Pomar Avalos, et al. · INSTITUTO DE GEOCIÊNCIAS - UNICAMP eBooks · 1
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Soil erosion by water in Mali: An advanced Rusle-based spatial analysis of agricultural landscapes
2026 · Beatriz Macêdo Medeiros, Bernardo Cândido, et al. · Geoderma Regional
Data-centric approach for land use and land cover classification in Brazil
2026 · Glauber J. Vaz, João Francisco G. Antunes, et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
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Biometry of seeds of Caatinga forest species by means of image analysis.
2018 · Filipe Castro Felix, M. L. de L. Castro, et al.
Works count: 13
Citation count: 58
H-index: 5
I10-index: 3
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