Forestry monitoring typically uses a combination of medium-resolution and high-resolution satellite imagery, depending on the scale of monitoring and the level of detail required. Different satellite sensors capture different types of information, allowing GIS systems to analyse forests from multiple environmental perspectives.
Medium-resolution imagery is commonly used for large-scale monitoring because it provides broad coverage and frequent revisit cycles. This type of imagery is effective for tracking vegetation health, canopy density, land-cover change, moisture stress, and overall ecosystem condition across extensive forest regions.
High-resolution satellite imagery is used when more detailed analysis is required. It supports activities such as compartment mapping, infrastructure monitoring, encroachment detection, harvesting verification, and detailed change analysis. Finer spatial resolution makes it easier to identify smaller features and more localised disturbances within the forest environment.
Multi-band and multispectral satellite imagery are especially important in forestry monitoring because they capture information beyond what is visible to the human eye. These additional spectral bands help assess vegetation health, identify stressed areas, monitor fire scars, and analyse environmental conditions more accurately.
By combining different imagery sources and sensor types, GIS-based forestry monitoring creates a more complete and reliable understanding of forest conditions over time. This layered approach supports conservation, operational management, compliance, and long-term environmental planning.