Hugo N. Bendini

According to our database, Hugo N. Bendini authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning.

Hugo do Nascimento Bendini, Rémy Fieuzal, Pierre Carrere, Harold Clenet, Aurelie Galvani, Aubin Allies, Eric Ceschia

Remote. Sens., March, 2024

2023

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis.

Grazieli Rodigheri, Ieda Del'Arco Sanches, Jonathan Richetti, Rodrigo Yoiti Tsukahara, Roger A. Lawes, Hugo do Nascimento Bendini, Marcos Adami

Remote. Sens., November, 2023

Mapping Flooded Rice in Brazil.

Alexandre Fernandes Filho, Leila M. G. Fonseca, Hugo N. Bendini

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

2022

Estimation of Water Use in Center Pivot Irrigation Using Evapotranspiration Time Series Derived by Landsat: A Study Case in a Southeastern Region of the Brazilian Savanna.

Marionei Fomaca de Sousa Junior, Leila Maria Garcia Fonseca, Hugo do Nascimento Bendini

Remote. Sens., December, 2022

Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series.

Bruno Menini Matosak, Leila Maria Garcia Fonseca, Evandro Carrijo Taquary, Raian Vargas Maretto, Hugo do Nascimento Bendini, Marcos Adami

Remote. Sens., 2022

2021

Simple Nonlinear Iterative Temporal Clustering.

Anderson Reis Soares, Thales Sehn Körting, Leila M. G. Fonseca, Hugo N. Bendini

IEEE Trans. Geosci. Remote. Sens., 2021

Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah.

Leila M. G. Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Cesare Di Girolamo Neto, Alana Kasahara Neves, Anderson Reis Soares, Evandro Carrijo Taquary, Raian Vargas Maretto

Pattern Recognit. Lett., 2021

Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest.

Raian Vargas Maretto, Leila M. G. Fonseca, Nathan Jacobs, Thales Sehn Körting, Hugo N. Bendini, Leandro Parente

IEEE Geosci. Remote. Sens. Lett., 2021

Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series.

Evandro Carrijo Taquary, Leila M. G. Fonseca, Raian Vargas Maretto, Hugo N. Bendini, Bruno Menini Matosak, Sidnei J. S. Sant'Anna, José C. Mura

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data.

Hugo N. Bendini, Leila M. G. Fonseca, Raian Vargas Maretto, Bruno Menini Matosak, Evandro Carrijo Taquary, Philipe S. Simões, Ricardo F. Haidar, Dalton de Morisson Valeriano

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Characterization of Center Pivot Irrigation Systems in the Irecê-Bahia Agricultural Region Based On Random Forest Classification.

Philipe S. Simões, Marionei F. de Sousa Junior, Tânia Beatriz Hoffmann, Leila M. G. Fonseca, Sidnei J. S. Sant'Anna, Yosio Edemir Shimabukuro, Hugo do Nascimento Bendini

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

2020

Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction.

Anderson Reis Soares, Hugo N. Bendini, Daiane V. Vaz, Tatiana D. T. Uehara, Alana Kasahara Neves, Sarah Lechler, Thales Sehn Körting, Leila M. G. Fonseca

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics.

Marcos Antônio de Almeida Rodrigues, Hugo do Nascimento Bendini, Anderson Reis Soares, Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado.

Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin, Marcel Schwieder, Marcos A. Rodrigues, Raian Vargas Maretto, Thales Sehn Körting, Pedro J. Leitão, Ieda Del'Arco Sanches, Patrick Hostert

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series.

Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert

Int. J. Appl. Earth Obs. Geoinformation, 2019

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification.

Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Spatio-Temporal Segmentation Applied to Optical Remote Sensing Image Time Series.

Wanderson S. Costa, Leila Maria Garcia Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Ricardo Cartaxo Modesto de Souza

IEEE Geosci. Remote. Sens. Lett., 2018

2017

Spectral normalization between Landsat-8/OLI, Landsat- 7/ETM+ and CBERS-4/MUX bands through linear regression and spectral unmixing.

Rennan F. B. Marujo, Leila Maria Garcia Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.

Ricardo Ramos Cabette, Marconi de Arruda Pereira, Tales Moreira Oliveira, Wanderson S. Costa, Leila M. G. Fonseca, Thales Sehn Körting, Margareth Simões, Hugo N. Bendini, Ricardo Cartaxo Modesto de Souza

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

2016

Assessment of a multi-sensor approach for noise removal on Landsat-8 OLI time series using CBERS-4 MUX data to improve crop classification based on phenological features.

Hugo N. Bendini, Leila Maria Garcia Fonseca, Thales Sehn Körting, Rennan F. B. Marujo, Ieda Del'Arco Sanches, Jeferson S. Arcanjo

Proceedings of the XVII Brazilian Symposium on Geoinformatics, 2016

2015

Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil.

Alana Kasahara Neves, Hugo N. Bendini, Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the XVI Brazilian Symposium on GeoInformatics, Campos do Jordão, São Paulo, Brazil, November 29, 2015

2014

Proposta de Sistema de Monitoramento da Sigatoka-Negra Baseado em Variáveis Ambientais Utilizando o TerraMA2.

Hugo N. Bendini, Wilson S. Moraes, Simone Costa, Eymar Silva Sampaio Lopes, Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014