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Bruna Alberton
Bruna Alberton
Verified email at unesp.br
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Year
Linking plant phenology to conservation biology
LPC Morellato, B Alberton, ST Alvarado, B Borges, E Buisson, ...
Biological conservation 195, 60-72, 2016
4142016
The deadly route to collapse and the uncertain fate of Brazilian rupestrian grasslands
GW Fernandes, NPU Barbosa, B Alberton, A Barbieri, R Dirzo, F Goulart, ...
Biodiversity and Conservation 27, 2587-2603, 2018
1172018
Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation
B Alberton, RS Torres, LF Cancian, BD Borges, J Almeida, GC Mariano, ...
Perspectives in Ecology and Conservation 15 (2), 82-90, 2017
1142017
Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation
B Alberton, J Almeida, R Helm, RS Torres, A Menzel, LPC Morellato
Ecological Informatics 19, 62-70, 2014
882014
Leafing patterns and leaf exchange strategies of a cerrado woody community
MGG de Camargo, GH de Carvalho, BC Alberton, P Reys, LPC Morellato
Biotropica 50 (3), 442-454, 2018
542018
Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees
J Almeida, JA dos Santos, B Alberton, RS Torres, LPC Morellato
Ecological Informatics 23, 49-61, 2014
472014
Fusion of time series representations for plant recognition in phenology studies
FA Faria, J Almeida, B Alberton, LPC Morellato, RS Torres
Pattern Recognition Letters 83, 205-214, 2016
412016
Leafing patterns and drivers across seasonally dry tropical communities
B Alberton, R da Silva Torres, T Sanna Freire Silva, HR Rocha, ...
Remote Sensing 11 (19), 2267, 2019
382019
Phenological visual rhythms: Compact representations for fine-grained plant species identification
J Almeida, JA dos Santos, B Alberton, LPC Morellato, RS Torres
Pattern Recognition Letters 81, 90-100, 2016
272016
Deriving vegetation indices for phenology analysis using genetic programming
J Almeida, JA dos Santos, WO Miranda, B Alberton, LPC Morellato, ...
Ecological Informatics 26, 61-69, 2015
252015
Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna
J Almeida, JA Dos Santos, B Alberton, RS Torres, LPC Morellato
2012 IEEE 8th International Conference on E-Science, 1-8, 2012
232012
Unsupervised distance learning for plant species identification
J Almeida, DCG Pedronette, BC Alberton, LPC Morellato, RS Torres
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
202016
Plant species identification with phenological visual rhythms
J Almeida, JA Dos Santos, B Alberton, LPC Morellato, RDS Torres
2013 IEEE 9th International Conference on e-Science, 148-154, 2013
202013
Time series-based classifier fusion for fine-grained plant species recognition
FA Faria, J Almeida, B Alberton, LPC Morellato, A Rocha, RS Torres
Pattern Recognition Letters 81, 101-109, 2016
192016
An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
J Wang, G Song, M Liddell, P Morellato, CKF Lee, D Yang, B Alberton, ...
Remote Sensing of Environment 286, 113429, 2023
182023
Visual rhythm-based time series analysis for phenology studies
J Almeida, JA Dos Santos, BC Alberton, LPC Morellato, RS Torres
2013 IEEE International Conference on Image Processing, 4412-4416, 2013
182013
Evaluation of time series distance functions in the task of detecting remote phenology patterns
JC Conti, FA Farial, J Almeida, B Alberton, LPC Morellato, L Camolesi, ...
2014 22nd International Conference on Pattern Recognition, 3126-3131, 2014
162014
Shape-based time series analysis for remote phenology studies
RS Torres, M Hasegawa, S Tabbone, J Almeida, JA dos Santos, ...
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 3598 …, 2013
162013
Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations
GC Mariano, LPC Morellato, J Almeida, B Alberton, MGG de Camargo, ...
Ecological Engineering 91, 396-408, 2016
142016
PhenoVis–A tool for visual phenological analysis of digital camera images using chronological percentage maps
RA Leite, LM Schnorr, J Almeida, B Alberton, LPC Morellato, RS Torres, ...
Information Sciences 372, 181-195, 2016
92016
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