Forest Aboveground Carbon Storage Estimation Data via 3D Enhanced Spectral Indices

25.0 KB of data supporting a proposed framework for constructing three-dimensional enhanced spectral indices (TDESIs). The data, authored by Yi Long and last updated on 2026-04-14, is available in TXT, XLSX, and CSV formats under a CC-BY-4.0 license.

Use Cases

• Training machine learning models for forest carbon estimation based on the proposed TDESI framework.
• Benchmarking new spectral indices against the provided TDESI data.
• Validating remote sensing methodologies for aboveground biomass assessment.
• Conducting sensitivity analysis on the factors influencing carbon storage predictions.

Strengths

• Data is openly licensed (CC-BY-4.0) for reuse and modification.
• Available in multiple common formats (TXT, XLSX, CSV) for flexibility.
• Supports a specific, novel methodological framework (TDESIs) for forest carbon estimation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (25.0 KB), indicating limited scope.

Provenance

Source

figshare, authored by Yi Long.

Collection Method

Likely derived from remote sensing data to support a proposed methodological framework.

Time Range

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Freshness

Last updated 2026-04-14 12:47:01; freshness should be verified.

Geography

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