Cláudia Maria de Almeida

Orcid: 0000-0002-6523-3169

According to our database1, Cláudia Maria de Almeida authored at least 23 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Agent-Based Spatial Dynamic Modeling of Diatraea saccharalis and the Natural Parasites Cotesia flavipes and Trichogramma galloi in Sugarcane Crops.
Remote. Sens., August, 2024

Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review.
Remote. Sens., March, 2024

2023
Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms.
Remote. Sens., January, 2023

Performance de Um Modelo Preditivo Para Simulação do Desmatamento em Boca do Acre - Brasil.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

2022
Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine.
Remote. Sens., 2022

FMASK algorithm applied to Landsat images: a study case in the region of Santarém, Pará, Brazil.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021
Erratum: Barboza Castillo, E., et al. Monitoring Wildfires in the Northeastern Peruvian Amazon Using Landsat-8 and Sentinel-2 Imagery in the GEE Platform. ISPRS Int. J. Geo-Inf. 2020, 9, 564.
ISPRS Int. J. Geo Inf., 2021

Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data.
CoRR, 2021

Automated cloud coverage analysis with Brazil Data Cube.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

2020
Monitoring Wildfires in the Northeastern Peruvian Amazon Using Landsat-8 and Sentinel-2 Imagery in the GEE Platform.
ISPRS Int. J. Geo Inf., 2020

2019
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data.
Remote. Sens., 2019

A Comparative Assessment of Machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images.
Remote. Sens., 2019

2018
Integration of Worldview-2 and Lidar Data to MAP a Subtropical Forest Area: Comparison of Machine Learning Algorithms.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil.
Remote. Sens., 2017

2015
Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil.
Proceedings of the Joint Urban Remote Sensing Event, 2015

2014
Foreword to the Special Issue on Human Settlement Observation and Monitoring from Space.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2012
An open source object-based framework to extract landform classes.
Expert Syst. Appl., 2012

2011
Dynamic modeling of forest conversion: Simulation of past and future scenarios of rural activities expansion in the fringes of the Xingu National Park, Brazilian Amazon.
Int. J. Appl. Earth Obs. Geoinformation, 2011

Joint VHR - LIDAR classification framework in urban areas using a priori knowledge and post processing shape optimization.
Proceedings of the Joint Urban Remote Sensing Event, 2011

2008
Using neural networks and cellular automata for modelling intra-urban land-use dynamics.
Int. J. Geogr. Inf. Sci., 2008

2007
Multilevel object-oriented classification of quickbird images for urban population estimates.
Proceedings of the 15th ACM International Symposium on Geographic Information Systems, 2007

2003
Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation.
Comput. Environ. Urban Syst., 2003

Modeling the urban evolution of land use transitions using cellular automata and logistic regression.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003


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