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This case study presents how France implemented a new geographically-explicit method to move from Approach 2 to Approach 3 for land representation. This method combines several national and European datasets within a high-resolution grid, using hierarchy rules and correspondence between nomenclatures.

France has recently migrated to a geographically-explicit monitoring of land uses in response to national expectations. Formerly the French inventory was based on an exhaustive national survey of land uses named ‘Teruti’, that was the single data source used for land use monitoring. The change from a survey system to a geographically-explicit system was done to overcome challenges with understanding land use changes. The geographically-explicit system was built to facilitate quality control of GHG inventories, understanding of land use changes and better management of lands.

Figure 1: An example of a grid-based approach in France

Source: Citepa (https://www.citepa.org/), France’s visualisation tool of land use of LULUCF inventory, 2023.

The following steps were followed to build the geographically-explicit system:

  • A grid was placed over France and intersected with several maps, so that heterogeneous datasets, even having different spatial resolutions, could be combined.
  • The spatial resolution of the grid was chosen to fit the minimal threshold for the national definition of Forest (0.5ha), and to fit the scale of usual land use change such as small-scale urbanization.
  • Maps at a specific time were chosen as a reference for each land use type. For instance, forest maps (around year 2015) were prioritized for forest while LPIS data from 2021 was chosen for agricultural lands.
  • Strict hierarchy rules between datasets have been defined so that the choice of the most relevant datasets is automatically made for each plot.
  • Products that focus on land-use and/or land-cover changes were prioritized for the monitoring of actual land use change.
  • Strict consistency rules have been defined so that the estimation of land use change reflects as much as possible actual change, and not map artefacts.
  • Years in which land use change occurred were derived from the time periods covered by the datasets (randomly on the period).
  • Land use changes were extrapolated for years not covered by maps. Estimations were made for years prior to the first available map, and for years after the last available map.
  • The system was designed so that an annual time series of land use for each cell of the grid is produced.
  • Corrections or post-adjustments were made, when needed, to ensure consistency with other reference datasets such as NFI areas or Agricultural census.
  • A GIS portal was established to visualize the results and allow for verification processes.

France’s geographically-explicit inventory is recent and will be improved in the coming years by considering new products and developing additional controls on land use monitoring. It is already a significant improvement and opportunity to efficiently monitor policy action at national and local level.

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