The JRSRP and Australian Department of Climate Change, Energy, the Environment, and Water (DCCEW) are building a national Community of Practice (CoP) focused on information sharing and collaborations on the production, evaluation, and use of Satellite-Derived Vegetation Mapping Products (SDVP)—starting with woody vegetation and expanding to other vegetation communities/forms broader applications.

In this context Satellite-Derived Vegetation Mapping Products (SDVP) — are defined as geospatial data containing categorical or quantitative information, derived primarily from satellite images, and include, but are not limited to the following vegetation:

• extent (by [in]consistently defined vegetation types, e.g. woodland, forest, native, non-native);

• composition (by structure and/or floristics);

• cover; canopy, fractional cover per pixel;

• foliage projective cover;

• leaf area index (LAI);

• height; and

• above ground biomass

This initiative aims to connect producers, users, and validators of spatial vegetation data across government, industry, academia, NGOs, and community sectors.

The CoP will support collaboration, knowledge sharing, and the development of standards and validation frameworks to improve the quality and utility of SDVPs nationally.

Why Join and participate in the SDVP CoP?

By expressing your interest, you’ll be part of a growing network working to:

• Define and refine SDVPs for Australian landscapes

• Share data, tools, and best practices

• Collaborate on validation and evaluation data sets, procedures standards

• Participate in national forums and working groups

• Influence future directions for vegetation mapping and monitoring

Who Should Join?

We welcome individuals and organisations involved in:

• Producing or using vegetation spatial data

• Mapping vegetation composition, structure (e.g. biomass, cover, height, carbon content), and change

• Environmental monitoring, modelling, and inventory

• Conservation and land management (including Indigenous land managers)

• Ecosystem service and natural capital assessment

• Geospatial and data science