Kakamega Rainforest Vegetation Greenness and Climate Data, 1984–2021

A Landsat-derived NDVI time series and associated climatic data for the Kakamega Tropical Rainforest in western Kenya, spanning 1984 to 2021. The dataset was created by Nicole Nshobole Migabo and published on figshare in 2026. It includes ground-based and gridded climate variables used to analyze multi-decadal vegetation dynamics.

Use Cases

• Modeling the impact of temperature and rainfall frequency on vegetation greenness based on the described temporal regression analysis.
• Analyzing spatial heterogeneity in NDVI based on forest structure, slope, and population density as indicated by the spatial regression model.
• Studying scale-dependent ecological processes where temperature has opposite effects over time versus across space.
• Monitoring long-term canopy greening and edge-related degradation trends in a tropical rainforest.

Strengths

• Covers a 37-year time series from 1984 to 2021, enabling long-term trend analysis.
• Integrates satellite-derived NDVI with both ground-based and gridded climatic data.
• Statistical models described in the abstract explain a significant portion of variation (R² up to 0.755 for temporal trends).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

figshare

Collection Method

Combined Landsat-derived NDVI time series with ground-based and gridded climatic data.

Time Range

1984–2021

Freshness

Last updated 2026-05-19 11:15:32; freshness should be verified.

Geography

Kakamega Tropical Rainforest, Western Kenya