CerraData-4 MM: A Multimodal Benchmark Dataset on Cerrado for Land Use and Land Cover Classification

CerraData-4 MM: A Multimodal Benchmark Dataset on Cerrado for Land Use and Land Cover Classification

The <italic>Cerrado</italic> faces increasing environmental pressures, necessitating accurate land use and land cover mapping despite challenges, such as class imbalance and visually similar categories. To address this, we present CerraData-4 MM, a multimodal dataset combining Sentinel-1...

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Bibliographic Details
Main Authors: Mateus de Souza Miranda, Ronny Hansch, Valdivino Alexandre de Santiago Junior, Thales Sehn Korting, Erison Carlos dos Santos Monteiro
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Cerrado
deep learning (DL)
hierarchical level of classes
land use and land cover (LULC) classification
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/11068119/
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https://ieeexplore.ieee.org/document/11068119/

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