The potential for modelling peatland habitat condition in Scotland using long-term MODIS data

Area of Science:

• Ecology
• Remote Sensing
• Environmental Science

Background:

• Peatlands are vital carbon sinks but degrade into carbon sources when unhealthy.
• Identifying and monitoring peatland condition remotely is essential for restoration and conservation.

Purpose of the Study:

• To develop and validate a remote sensing model for assessing peatland habitat condition in Scotland.
• To identify peatland areas requiring restoration and monitor progress.

Main Methods:

• A medium-resolution model was created using Moderate Resolution Imaging Spectroradiometer (MODIS) data and environmental covariates.
• Training data included peatland habitat condition and morphological features.
• Model accuracy was assessed using Receiver Operator Characteristics (ROC) curves and kappa statistics.

Main Results:

• The model achieved high accuracy (ROC 0.915, kappa 0.8151) in predicting favourable peatland condition.
• The resulting map identified favourable peatland areas primarily in North and West Scotland.
• Model predictions aligned with land use intensity and bioclimatic predictions.

Conclusions:

• Remote sensing offers a cost-efficient method for monitoring peatland condition changes.
• Improved ground-based monitoring is needed to enhance future remote assessment efforts.
• The model provides a valuable tool for peatland conservation and restoration planning.