Global Canopy Temperature and Photosynthesis Analysis Data, 2001-2020

A 15.8 GB repository from a 2026 study contains processed global canopy temperature data derived from MODIS satellite observations at a 0.25-degree resolution. The dataset, created by Tianbo Pan, includes analysis code for calculating thermal limitations on photosynthesis and supporting data like the Köppen-Geiger climate classification. It is associated with the paper 'Increasingly severe thermal limitations on global photosynthesis using insights from observations of canopy temperature.'

Use Cases

• Modeling the optimal temperature for photosynthesis based on processed canopy temperature (Tcan) data.
• Analyzing thermal acclimation of vegetation using the provided GPP, NIRv, and CSIF result calculation scripts.
• Mapping climate constraints on plant growth by combining canopy temperature data with the Köppen-Geiger climate classification.
• Calculating growing-season and annual maximum temperature metrics for global-scale ecological studies.

Strengths

• Dataset size is 15.8 GB, indicating substantial data volume for analysis.
• Canopy temperature data was validated against independent FLUXNET-based estimates, suggesting strong consistency.
• Includes analysis code for reproducing study results on optimal temperature and thermal acclimation.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Large GPP proxy and air temperature input datasets are not included due to data-volume limitations.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, author Tianbo Pan.

Collection Method

Canopy temperature data derived from MODIS land-surface temperature observations after strict pixel screening.

Freshness

Last updated 2026-06-03 07:05:06; freshness should be verified.

Geography

Global