Multi-Source Earth-Observation Data for Greening-to-Function Analysis

Processed multi-source Earth-observation data supports the manuscript "Diagnosing when vegetation greening translates into ecosystem functional gain using a multi-source ecological indicator". The 63.7 MB repository includes structural-functional mismatch classifications, sensitivity summaries, and spatial robustness outputs for temperate land systems. Author haojie zhang published the dataset on figshare under a CC-BY-4.0 license.

Use Cases

• Evaluating ecosystem functional gain based on processed multi-source Earth-observation data.
• Classifying structural-functional mismatches in vegetation using the provided mismatch classifications.
• Assessing spatial robustness of ecological indicators using the spatial robustness outputs.
• Reproducing trend analysis of vegetation greening across temperate land systems.

Strengths

• Includes processed multi-source Earth-observation data from multiple sensors.
• Contains figure source data, sensitivity summaries, and workflow documentation for reproducibility.
• The 63.7 MB repository provides data in multiple formats including CSV, JSON, and XLSX.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Processed from multi-source Earth-observation data.

Freshness

Last updated 2026-06-04 07:57:09; freshness should be verified.

Geography

Temperate land systems.