Canopy Height Changes During 2015-16 ENSO in Malaysian Borneo

Malaysian Borneo canopy height data contains 36,655 repeated measurements from airborne LiDAR before and after the 2015-16 El Niño event. The dataset includes coordinates for spatial analysis and features like Topographic Position Index and distance from oil palm plantations to study environmental effects. It was collected in November 2014 and April 2016 across a human-modified tropical landscape.

Use Cases

• Analyze changes in top-of-canopy height across 36,655 repeated measurements to quantify forest impact from the 2015-16 ENSO event.
• Model the relationship between Topographic Position Index and canopy height change to understand topographic effects on forest resilience.
• Investigate how distance from oil palm plantations correlates with canopy height change to assess fragmentation impacts.
• Perform spatial analysis of canopy changes using the coordinate data for each observation (pixel).

Strengths

• Contains 36,655 repeated measurements of canopy height change, providing a substantial sample for analysis.
• Includes specific environmental covariates like Topographic Position Index and distance from oil palm plantations.
• Data were captured via airborne LiDAR, a precise remote sensing method for forest structure.

Limitations

• Limited temporal scope with only two collection time points (Nov 2014 and Apr 2016), restricting long-term trend analysis.
• Geographic scope is focused solely on a human-modified landscape in Malaysian Borneo, limiting generalizability to other regions.
• The dataset's structure and specific column definitions are not provided in the input.

Provenance

Source

Environmental Information Data Centre

Collection Method

Airborne LiDAR surveys

Time Range

November 2014 to April 2016

Freshness

Data last updated in March 2026, but the underlying measurements are from 2014-2016.

Geography

Human-modified tropical landscape in Malaysian Borneo