UAV data to model microclimate in an open ecosystem

19.0 GB of UAV-derived data from Grenspark Kalmthoutse Heide accompanies a manuscript comparing thermal, correlative, and mechanistic approaches to microclimate modeling. The dataset, authored by Christophe Metsu and last updated in April 2026, includes thermal, multispectral, and LiDAR derivatives aggregated with in-situ microclimate measurements from TOMST TMS4 loggers. This large-scale collection is designed to uncover microclimate patterns in an open ecosystem.

Use Cases

• Modeling microclimate variability based on UAV-derived thermal imagery.
• Comparing mechanistic and correlative modeling approaches based on aggregated sensor data.
• Analyzing vegetation and terrain structure for ecological studies based on multispectral and LiDAR data.
• Validating remote sensing products against in-situ microclimate measurements from TMS4 loggers.

Strengths

• Large 19.0 GB dataset indicating high-resolution or multi-source data.
• Integrates multiple UAV sensor types: thermal, multispectral, and LiDAR.
• Includes aggregated ground-truth data from in-situ TOMST TMS4 microclimate loggers.
• Released under a permissive CC-BY-4.0 license for open reuse.

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.
• The 19.0 GB size may require significant storage and computational resources for processing.

Provenance

Source

figshare, accompanying a specific research manuscript.

Collection Method

Data gathered via UAV flights and in-situ TOMST TMS4 loggers.

Time Range

null

Freshness

Last updated 2026-04-22 17:01:48

Geography

Grenspark Kalmthoutse Heide (a heathland area).