Savanna Fire Emission Factors from UAV Sampling Across Six Countries, 2017-2022

Over 4500 emission factor bag measurements for CO2, CO, CH4, and N2O were collected using an unmanned aerial system. The dataset includes fuel parameters and fire severity proxies from 129 individual fires across savanna ecosystems in Brazil, Australia, Botswana, Zambia, South Africa, and Mozambique. Roland Vernooij of Vrije Universiteit Amsterdam compiled this data over six fire seasons between 2017 and 2022.

Use Cases

• Modeling greenhouse gas emissions from savanna fires based on direct emission factor measurements.
• Analyzing the relationship between fire severity proxies and emission factors for different gases.
• Comparing emission factors across different savanna ecosystems and seasonal conditions mentioned in the description.
• Validating satellite-derived emission estimates using ground-truthed, UAV-sampled data.

Strengths

• Contains over 4500 direct emission factor measurements, providing a substantial empirical basis.
• Covers 129 individual fires across six countries, offering geographic diversity.
• Sampled over six fire seasons (2017-2022), capturing temporal and seasonal variation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download from a separate Word file.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Last update date is unknown; freshness unverified.

Provenance

Source

Roland Vernooij, Vrije Universiteit Amsterdam

Collection Method

Direct measurements sampled using an unmanned aerial system (UAS).

Time Range

2017-2022 (six fire seasons)

Geography

Savanna ecosystems in Brazil, Australia, Botswana, Zambia, South Africa, Mozambique