Biomazon is a multimodal benchmark dataset pairing GEDI RH profiles and AGBD targets with Sentinel, ALOS, DEM, and other predictors for joint 3D forest structure and biomass modeling in the Amazon.
Nature Ecology
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
An exact finite-time convergent algorithm is proposed for Σ₂^p-hard mixed-integer bilevel stochastic programs via extended single-level reformulation, relaxation for scenario decomposition, and stochastic subgradient optimality cuts.
Introduces a two-stream attention fusion model and joint loss for multispectral point cloud classification, releasing two new airborne datasets and reporting gains over prior methods.
citing papers explorer
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Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin
Biomazon is a multimodal benchmark dataset pairing GEDI RH profiles and AGBD targets with Sentinel, ALOS, DEM, and other predictors for joint 3D forest structure and biomass modeling in the Amazon.
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An Exact Algorithm for Mixed-Integer Bilevel Stochastic Problem
An exact finite-time convergent algorithm is proposed for Σ₂^p-hard mixed-integer bilevel stochastic programs via extended single-level reformulation, relaxation for scenario decomposition, and stochastic subgradient optimality cuts.
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An Enhanced Geometric-Spectral Feature Learning Framework for Airborne Multispectral Point Cloud Classification
Introduces a two-stream attention fusion model and joint loss for multispectral point cloud classification, releasing two new airborne datasets and reporting gains over prior methods.