Hugo N. Bendini
Orcid: 0000-0003-4435-7610
According to our database1,
Hugo N. Bendini
authored at least 23 papers
between 2014 and 2024.
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Bibliography
2024
Mapping Irrigated Rice in Brazil Using Sentinel-2 Spectral-Temporal Metrics and Random Forest Algorithm.
Remote. Sens., August, 2024
Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning.
Remote. Sens., March, 2024
2023
Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis.
Remote. Sens., November, 2023
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.
Remote. Sens., December, 2022
Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series.
Remote. Sens., 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah.
Pattern Recognit. Lett., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series.
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.
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.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics.
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.
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.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
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.
Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017
Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.
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.
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.
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.
Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014