Division of Survey and Statistics
Integration of Copernicus and national data (InCoNaDa)
End: dec 2023
Start: oct 2020
The main goal of InCoNaDa is to improve the user uptake of land cover and land use information available from the integration of Copernicus Land Monitoring Services (CLMS) and national databases.
More information
Copernicus Land Monitoring ServiceProject participants
Ulrike Bayr Rizzi Jonathan Johannes Breidenbach Tove Vaaje-Kolstad Sebastian Eiter Anne B. Nilsen Wendy Fjellstad Svein Olav Krøgli Linda Aune-Lundberg| Status | Concluded |
| Start - end date | 06.10.2020 - 31.12.2023 |
| Project manager | Geir-Harald Strand |
| Division | Division of Survey and Statistics |
| Total budget | 5130000 |
Assessment and monitoring of natural resources requires detailed, and up-to-date geospatial information on land cover (LC), land use (LU) and their changes over time. The LCLU information is used for a broad range of applications including land management, monitoring of sustainable development of agriculture, forestry, rural areas, assessment of biodiversity status and losses, urban planning and land uptake.
LCLU is also the basis for various reporting obligations, for example, for counting greenhouse gas (GHG) emissions and removal from the Land Use, Land Use Change and Forestry (LULUCF) sector, a long-term climate mitigation, greening of Common Agricultural Policy (CAP), Biodiversity Conservation, Urban Agenda and plans for the upcoming Energy Union. Each of these regulations requires different level of details on land cover, land use and changes.
The products of the Copernicus Land Monitoring Service are to some extent used in national research projects, but rarely in national mapping, reporting and monitoring programs carried out by national and regional authorities. The InCoNaDa addresses the request for more detailed information on LCLU and its changes (in respect to spatial, temporal and thematic content) than is currently provided in Corine Land Cover (CLC) databases. The project is also assessing enhanced LCLU database and CLMS products in this same context.
Publications in the project
Abstract
Geografisk informasjon over naturens tilstand er av sentral betydning for mange målsetninger i det globale Kunming-Montreal-rammeverket for naturmangfold (Naturavtalen) som ble vedtatt i 2022. Copernicus Land Monitoring Service (CLMS) tilbyr en rekke kartprodukter basert på satellittfjernmåling som skal gi grunnlag for overvåking av landarealene på europeisk nivå. Rapporten vurderer både fordeler og begrensningene CLMS-kartene har med henblikk på å understøtte arbeidet for å oppnå målsetningene i Naturavtalen. I tillegg gir rapporten en kort oppsummering av en rekke verifikasjonsrapporter som dokumenterer kartproduktenes nøyaktighet.
Authors
Geir-Harald StrandAbstract
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Geir-Harald StrandAbstract
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Authors
Geir-Harald Strand Eva Solbjørg Flo Heggem Linda Aune-Lundberg Agata Hościło Adam WaśniewskiAbstract
Land cover maps are frequently produced via the classification of satellite imagery. There is a need for a practicable and automated approach for the generalization of these land cover classification results into scalable, digital maps while minimizing information loss. We demonstrate a method where a land cover raster map produced using the classification of Sentinel 2 imagery was generalized to obtain a simpler, more readable land cover map. A replicable procedure following a formal generalization framework was applied. The result of the initial land cover classification was separated into binary layers representing each land cover class. Each binary layer was simplified via structural generalization. The resulting images were merged to create a new, simplified land cover map. This map was enriched by adding statistical information from the original land cover classification result, describing the internal land cover distribution inside each polygon. This enrichment preserved the original statistical information from the classified image and provided an environment for more complex cartography and analysis. The overall accuracy of the generalized map was compared to the accuracy of the original, classified land cover. The accuracy of the land cover classification in the two products was not significantly different, showing that the accuracy did not deteriorate because of the generalization.
Abstract
The objective of this study is to identify the needs related to geospatial LC, LU, and LCLUC information for spatial planning in Poland and Norway, and examine the usefulness of CLMS products in the context of these planning systems. The research has conducted based on a comparative analysis of two planning systems, to indicate areas where CLMS can improve or supplement national spatial data. The study shows that CLMS can provide information on up-to-date spatial data showing actual LC/LU/LCLUC, but that the degree of detail and the accuracy may be insufficient. CLMS data is harmonised across Europe and thus meets the need expressed by international organisations, for data that are consistent at a continental level. This is not a requirement in national planning systems in Poland and Norway, where the needs are regulated by national legislation. The thematic and geometric accuracy of national data sources are usually better than the data provided by CLMS, but CLMS might fill gaps when specific topics are missing in national mapping programs.
Authors
Geir-Harald StrandAbstract
No abstract has been registered
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Geir-Harald StrandAbstract
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Geir-Harald StrandAbstract
The Copernicus high-resolution layer imperviousness density (HRL IMD) for 2018 is a 10 m resolution raster showing the degree of soil sealing across Europe. The imperviousness gradation (0–100%) per pixel is determined by semi-automated classification of remote sensing imagery and based on calibrated NDVI. The product was assessed using a within-pixel point sample of ground truth examined on very high-resolution orthophoto for the section of the product covering Norway. The results show a high overall accuracy, due to the large tracts of natural surfaces correctly portrayed as permeable (0% imperviousness). The total sealed area in Norway is underestimated by approximately 33% by HRL IMD. Point sampling within pixels was found to be suitable for verification of remote sensing products where the measurement is a binomial proportion (e.g., soil sealing or canopy coverage) when high-resolution aerial imagery is available as ground truth. The method is, however, vulnerable to inaccuracies due to geometrical inconsistency, sampling errors and mistaken interpretation of the ground truth. Systematic sampling inside each pixel is easy to work with and is known to produce more accurate estimates than a simple random sample when spatial autocorrelation is present, but this improvement goes unnoticed unless the status and location of each sample point inside the pixel is recorded and an appropriate method is applied to estimate the within-pixel sampling accuracy.
Authors
Geir-Harald StrandAbstract
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Abstract
The CORINE Land Cover dataset for Norway for the reference year 2018 (CLC2018) was compared to detailed national land cover and land use data. This allowed us to describe the thematic composition of the CLC-polygons and aggregate the information into statistical profiles for each CLC-class. We compared the results to the class definitions found in the CLC mapping instructions, while considering the generalization and minimal mapping units required for CLC. The study showed that CLC2018 in general complied with the definitions. Non-conformities were mainly found for detailed and (in a Norwegian context) marginal classes. The classification can still be improved by complementing visual interpretation with classification based on the statistical profile of each polygon when detailed land use and land cover information is available. The use of auxiliary information at the polygon level can thus provide a better, thematically more accurate CLC dataset for use in European land monitoring.
Authors
Geir-Harald StrandAbstract
No abstract has been registered
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Geir-Harald StrandAbstract
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Geir-Harald StrandAbstract
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Authors
Wendy Fjellstad Svein Olav Krøgli Linda Aune-Lundberg Aneta Lewandowska Agata Hościło Milena ChmielewskaAbstract
No abstract has been registered
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Svein Olav Krøgli Wendy Fjellstad Linda Aune-Lundberg Agata Hościło Aneta Lewandowska Milena ChmielewskaAbstract
No abstract has been registered