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Hugo N. Bendini
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Journal Articles
- 2024
- [j10]Hugo do Nascimento Bendini
, Rémy Fieuzal, Pierre Carrere, Harold Clenet
Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning. Remote. Sens. 16(5): 834 (2024) - [j9]Alexandre Fernandes Filho
Mapping Irrigated Rice in Brazil Using Sentinel-2 Spectral-Temporal Metrics and Random Forest Algorithm. Remote. Sens. 16(16): 2900 (2024) - 2023
- [j8]Grazieli Rodigheri
Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis. Remote. Sens. 15(22): 5366 (2023) - 2022
- [j7]Bruno Menini Matosak
Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series. Remote. Sens. 14(1): 209 (2022) - [j6]Marionei Fomaca de Sousa Junior, Leila Maria Garcia Fonseca, Hugo do Nascimento Bendini
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. 14(23): 5929 (2022) - 2021
- [j5]Raian Vargas Maretto
Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. 18(5): 771-775 (2021) - [j4]Leila M. G. Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Cesare Di Girolamo Neto, Alana Kasahara Neves
Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah. Pattern Recognit. Lett. 148: 54-60 (2021) - [j3]Anderson Reis Soares
Simple Nonlinear Iterative Temporal Clustering. IEEE Trans. Geosci. Remote. Sens. 59(9): 7669-7679 (2021) - 2019
- [j2]Hugo do Nascimento Bendini
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - 2018
- [j1]Wanderson S. Costa
Spatio-Temporal Segmentation Applied to Optical Remote Sensing Image Time Series. IEEE Geosci. Remote. Sens. Lett. 15(8): 1299-1303 (2018)
Conference and Workshop Papers
- 2023
- [c13]Alexandre Fernandes Filho, Leila M. G. Fonseca, Hugo N. Bendini:
Mapping Flooded Rice in Brazil. GEOINFO 2023: 376-381 - 2021
- [c12]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:
Characterization of Center Pivot Irrigation Systems in the Irecê-Bahia Agricultural Region Based On Random Forest Classification. GEOINFO 2021: 87-95 - [c11]Evandro Carrijo Taquary, Leila M. G. Fonseca, Raian Vargas Maretto
Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series. IGARSS 2021: 4520-4523 - [c10]Hugo N. Bendini, Leila M. G. Fonseca, Raian Vargas Maretto
Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data. IGARSS 2021: 5401-5404 - 2020
- [c9]Marcos Antônio de Almeida Rodrigues, Hugo do Nascimento Bendini, Anderson Reis Soares
Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics. IGARSS 2020: 168-171 - [c8]Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. IGARSS 2020: 1078-1081 - [c7]Anderson Reis Soares
Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction. IGARSS 2020: 2061-2064 - 2019
- [c6]Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca
Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification. IGARSS 2019: 469-472 - 2017
- [c5]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:
Segmentation of optical remote sensing images for detecting homogeneous regions in space and time. GEOINFO 2017: 40-51 - [c4]Rennan F. B. Marujo, Leila Maria Garcia Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini:
Spectral normalization between Landsat-8/OLI, Landsat- 7/ETM+ and CBERS-4/MUX bands through linear regression and spectral unmixing. GEOINFO 2017: 273-282 - 2016
- [c3]Hugo N. Bendini, Leila Maria Garcia Fonseca, Thales Sehn Körting, Rennan F. B. Marujo, Ieda Del'Arco Sanches, Jeferson S. Arcanjo:
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. GEOINFO 2016: 240-251 - 2015
- [c2]Alana Kasahara Neves, Hugo N. Bendini, Thales Sehn Körting, Leila Maria Garcia Fonseca:
Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil. GEOINFO 2015: 174-185 - 2014
- [c1]Hugo N. Bendini, Wilson S. Moraes, Simone Costa, Eymar Silva Sampaio Lopes, Thales Sehn Körting, Leila Maria Garcia Fonseca:
Proposta de Sistema de Monitoramento da Sigatoka-Negra Baseado em Variáveis Ambientais Utilizando o TerraMA2. GeoInfo 2014: 168-173
Coauthor Index
aka: Leila Maria Garcia Fonseca
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