Namibia Forest Inventory with Remote Sensing Data for Canopy Height and Biomass

Theo Tsuaneng's National Forest Inventory (NFI) dataset underpins an MSc dissertation mapping tree canopy height and aboveground biomass in the Kavango region. The study integrates NASA GEDI LiDAR, Sentinel-1 SAR, and Sentinel-2 optical imagery with field measurements from 2015, 2018, 2021, and 2024. It covers the Hamoye State Forest and three surrounding community forests.

Use Cases

• Modeling tree canopy height based on GEDI-derived canopy metrics (RH95–RH100) validated with field data.
• Estimating aboveground biomass using integrated multi-source remote sensing data.
• Monitoring forest structural dynamics over time using data from 2015, 2018, 2021, and 2024.
• Validating satellite-derived forest metrics with ground-based National Forest Inventory measurements.

Strengths

• Integrates multi-temporal field data from 2015, 2018, 2021, and 2024.
• Validates GEDI metrics with field data, reporting an R² of 0.412 for RH98.
• Combines data from three distinct remote sensing platforms: GEDI, Sentinel-1, and Sentinel-2.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 152.8 KB, indicating a limited scope of observations.

Provenance

Source

Theo Tsuaneng

Collection Method

Field-based National Forest Inventory measurements integrated with multi-source remote sensing data.

Time Range

2015, 2018, 2021, 2024

Freshness

Last updated 2026-06-03 20:27:08; freshness should be verified.

Geography

Kavango Region, northern Namibia, specifically Hamoye State Forest and three surrounding community forests.