Case study: Building a national system to monitor land-use over time in Croatia: the LIFE CROLIS project
Croatia needed to develop a geographically-explicit approach for land monitoring. This case study presents a that is aimed at creating such approach, using different earth observation products. The creation of a national land-use change timeseries has many policy implications for Croatia.
Initial situation
Croatia lacked a harmonised land use and land cover monitoring framework to generate robust data sources for the LULUCF inventory. Default data sources such as Corine Land Cover could not provide sufficient spatial, temporal and thematical resolution to track land-use changes and monitor land policies implementation. Moreover, Croatia needed to develop a geographically-explicit approach for land monitoring as required by the LULUCF regulation.
How it was resolved
The Croatian Land Information System (CROLIS) project started in 2020, through the EU LIFE programme financing support. The project ends in April 2024. The aim of the project was to develop and implement a harmonised land monitoring data model that enables the integration and processing of Land Cover (LC), Land Use (LU) and land management data from different data sources. Outputs of the project include the production of a consistent time series with land-use/land cover classes adapted to the needs of LULUCF inventory. One key element is that the time series go back to the 1970’s, allowing the monitoring of 20-years matrixes in accordance with the inventory calculations needs. Several earth observation sources are combined to produce a multisource but harmonized dataset. In addition, the project takes advantages of more recent Sentinel products that provide high resolution maps for the recent years. Other spatial datasets such as “ARKOD”, i.e. LPIS information on cropland areas, are also used in this approach. Therefore, the project created the methodological and technical framework to combine such heterogeneous datasets and produce a policy-relevant new hybrid information.
Policy implications
The LULUCF inventory reporting requirement was not the only use expected of the outputs of the project. The idea was to create a multi-purpose land information monitoring system in Croatia, for the LULUCF inventory, for planning and implementing GHG mitigation actions and for other objectives such as rural development and conservation of natural habitats. This new hybrid system also creates flexibility in the use of data and helps avoiding duplication of data production or other issues regarding the monitoring of specific areas such as abandoned land. However, the capacity building, support and involvement of policy authorities and other stakeholders is crucial to enable a permanent implementation of this new system.
Ireland has experienced a fast evolution of methodology of the reporting of GHGs from grassland and wetlands that was influenced by a close collaboration between the communities of GHG reporting and research. A basis for this is the involvement of GHG inventory staff members in research projects as discussed by this case study.
Iceland still lacks country specific data for applying higher tier methodologies and approaches, especially for grasslands, croplands and wetlands. A case study presents how the country established an “improvement group” for advancing GHG reporting.
Moving to higher tiers often requires moving from default emissions factors and parameters, using more relevant values from national or regional studies. This case study presents how a regional project covering European Mediterranean countries developed information on carbon stocks and fluxes for living biomass in cropland and grasslands to improve the LULUCF monitoring in this region with specific ecological conditions.
According to UNFCCC rules, LULUCF reporting from grassland and cropland should include the impact of trees and other woody vegetation . Trees on agricultural land in the EU have significant biomass production, which is not consistently recorded in the GHG inventories of Member States. Nor are Trees outside forests consistently reported in the GHG inventories of Member States.
Environmental policies are often based on a benchmark: maximum level of pollution allowed threshold above which further action is subsidized, etc. Improving the local relevance of the benchmark increases the cost-efficiency of a policy. Denmark has already applied this rationale to two environmental policies: peatland rewetting and nitrogen limits.
Like many countries, Canada was confronted with the challenges of timely reporting and the combining of multiple datasets for estimating forest emissions and removals. To address these challenges, Canada developed the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) . It is a complex Tier 3 model that can be used for other purposes and by other stakeholders (e.g. projections, harvest strategy, fire prevention).
As many countries, France has an efficient forest inventory which provides accurate estimates of tree growth, harvest and mortality. The associated drawback is a coarse time resolution which hinders appropriation of the reported data by policy makers. To bridge this gap, a simple model combining 5-yearly forest inventory data with annual statistics was developed , allowing meaningful annual estimates which, among others, reflect dramatic events such as storms in the time series.
Over the past few years in France, farmers have received incentives to define the GHG budget of their farm and identify climate mitigation levers through numerous channels. However, the synergies with the national GHG inventory and public policies are still underexploited.
A discrepancy of 500,000 ha in forest area in Romania was found when comparing national legal forest maps and National Forest Inventory information. This case study describes how Romania has set up a multi-data integration system to more accurately assess time series of forest cover dynamics.
Portugal has developed its own land use and land-use change map that is a good example of a geographically-explicit approach to monitoring areas for the LULUCF inventory with a temporal consistency. This case study also presents Portugal’s method to cover past periods.
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.
To visualize priority areas for the LULUCF monitoring and mitigation actions, various environmental geospatial products are available from national, European or international products. In this case study, we present Italy’s national portal that displays such maps.
Agricultural use of organic soils contributes substantially to GHG emissions from organic soils. The Austrian Environment Agency addresses these questions in a project aiming to improve the estimates of drained organic soils in the Austrian National GHG Inventory
Ireland has experienced a fast evolution of methodology of the reporting of GHGs from grassland and wetlands that was influenced by a close collaboration between the communities of GHG reporting and research. A basis for this is the involvement of GHG inventory staff members in research projects as discussed by this case study.
Iceland still lacks country specific data for applying higher tier methodologies and approaches, especially for grasslands, croplands and wetlands. A case study presents how the country established an “improvement group” for advancing GHG reporting.
Moving to higher tiers often requires moving from default emissions factors and parameters, using more relevant values from national or regional studies. This case study presents how a regional project covering European Mediterranean countries developed information on carbon stocks and fluxes for living biomass in cropland and grasslands to improve the LULUCF monitoring in this region with specific ecological conditions.
According to UNFCCC rules, LULUCF reporting from grassland and cropland should include the impact of trees and other woody vegetation . Trees on agricultural land in the EU have significant biomass production, which is not consistently recorded in the GHG inventories of Member States. Nor are Trees outside forests consistently reported in the GHG inventories of Member States.
Environmental policies are often based on a benchmark: maximum level of pollution allowed threshold above which further action is subsidized, etc. Improving the local relevance of the benchmark increases the cost-efficiency of a policy. Denmark has already applied this rationale to two environmental policies: peatland rewetting and nitrogen limits.
Like many countries, Canada was confronted with the challenges of timely reporting and the combining of multiple datasets for estimating forest emissions and removals. To address these challenges, Canada developed the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) . It is a complex Tier 3 model that can be used for other purposes and by other stakeholders (e.g. projections, harvest strategy, fire prevention).
As many countries, France has an efficient forest inventory which provides accurate estimates of tree growth, harvest and mortality. The associated drawback is a coarse time resolution which hinders appropriation of the reported data by policy makers. To bridge this gap, a simple model combining 5-yearly forest inventory data with annual statistics was developed , allowing meaningful annual estimates which, among others, reflect dramatic events such as storms in the time series.
Over the past few years in France, farmers have received incentives to define the GHG budget of their farm and identify climate mitigation levers through numerous channels. However, the synergies with the national GHG inventory and public policies are still underexploited.
A discrepancy of 500,000 ha in forest area in Romania was found when comparing national legal forest maps and National Forest Inventory information. This case study describes how Romania has set up a multi-data integration system to more accurately assess time series of forest cover dynamics.
Portugal has developed its own land use and land-use change map that is a good example of a geographically-explicit approach to monitoring areas for the LULUCF inventory with a temporal consistency. This case study also presents Portugal’s method to cover past periods.
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.
To visualize priority areas for the LULUCF monitoring and mitigation actions, various environmental geospatial products are available from national, European or international products. In this case study, we present Italy’s national portal that displays such maps.
Agricultural use of organic soils contributes substantially to GHG emissions from organic soils. The Austrian Environment Agency addresses these questions in a project aiming to improve the estimates of drained organic soils in the Austrian National GHG Inventory
Ireland has experienced a fast evolution of methodology of the reporting of GHGs from grassland and wetlands that was influenced by a close collaboration between the communities of GHG reporting and research. A basis for this is the involvement of GHG inventory staff members in research projects as discussed by this case study.
Iceland still lacks country specific data for applying higher tier methodologies and approaches, especially for grasslands, croplands and wetlands. A case study presents how the country established an “improvement group” for advancing GHG reporting.
Moving to higher tiers often requires moving from default emissions factors and parameters, using more relevant values from national or regional studies. This case study presents how a regional project covering European Mediterranean countries developed information on carbon stocks and fluxes for living biomass in cropland and grasslands to improve the LULUCF monitoring in this region with specific ecological conditions.
