Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity
The Copernicus High-Resolution Hot Spot Monitoring activity (C-HSM) delivers a global dataset of Key Landscapes for Conservation (KLC), which are characterized by pronounced anthropogenic pressures that require high mapping accuracy. Detailed land cover and land cover change map products are freely...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-01-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/22797254.2021.1978001 |
| _version_ | 1819283475436404736 |
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| author | Zoltan Szantoi Gabriel Jaffrain Heinz Gallaun Conrad Bielski Karl Ruf Andrea Lupi Petra Miletich Anne-Cecile Giroux Irina Carlan Willibald Croi Helene Augu Christian Kowalewski Andreas Brink |
| author_facet | Zoltan Szantoi Gabriel Jaffrain Heinz Gallaun Conrad Bielski Karl Ruf Andrea Lupi Petra Miletich Anne-Cecile Giroux Irina Carlan Willibald Croi Helene Augu Christian Kowalewski Andreas Brink |
| author_sort | Zoltan Szantoi |
| collection | DOAJ |
| description | The Copernicus High-Resolution Hot Spot Monitoring activity (C-HSM) delivers a global dataset of Key Landscapes for Conservation (KLC), which are characterized by pronounced anthropogenic pressures that require high mapping accuracy. Detailed land cover and land cover change map products are freely available through the activity and include extensive map production accuracy assessments. Without a complete understanding of the map products’ spatial, temporal and logical consistencies, quality or quantified confidence levels, usability is reduced and can affect stakeholder decision-making and the implementation of sustainable solutions. For the quantitative accuracy assessment, a stratified random sampling approach was implemented where special emphasis was placed on (i) allocation of sampling units for rare land cover change categories; (ii) effective and accurate labelling of large numbers of sampling units; (iii) accuracy and area estimation in one consistent approach; and (iv) derivation of confidence intervals for all accuracy measures and area estimates. To handle correlations, large uncertainties, and complex probability density functions, bootstrapping was applied instead of analytical equations, which are based on normality assumptions. This paper presents the Quality Assurance and Quality Control framework applied to validate all the C-HSM thematic map products. The Kundelungu-Upemba KLC product results are presented as our use case. |
| first_indexed | 2024-12-24T01:32:04Z |
| format | Article |
| id | doaj.art-5ebd373310814e9baed0bdd74b28d2ab |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-12-24T01:32:04Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-5ebd373310814e9baed0bdd74b28d2ab2022-12-21T17:22:19ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542021-01-0154153855710.1080/22797254.2021.19780011978001Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activityZoltan Szantoi0Gabriel Jaffrain1Heinz Gallaun2Conrad Bielski3Karl Ruf4Andrea Lupi5Petra Miletich6Anne-Cecile Giroux7Irina Carlan8Willibald Croi9Helene Augu10Christian Kowalewski11Andreas Brink12European Commission, Joint Research Centrel’Institut Géographique National (IGN) FIJoanneum Research, Forschungsgesellschaft mbHEOXPLORE, Weil am Rheinspace4environment sàrlEuropean Commission, Joint Research CentreJoanneum Research, Forschungsgesellschaft mbHl’Office National des Forêts InternationalGisboxLuxspace Sàrl, R.C.SSword GroupLuxspace Sàrl, R.C.Sl’Institut Géographique National (IGN) FIThe Copernicus High-Resolution Hot Spot Monitoring activity (C-HSM) delivers a global dataset of Key Landscapes for Conservation (KLC), which are characterized by pronounced anthropogenic pressures that require high mapping accuracy. Detailed land cover and land cover change map products are freely available through the activity and include extensive map production accuracy assessments. Without a complete understanding of the map products’ spatial, temporal and logical consistencies, quality or quantified confidence levels, usability is reduced and can affect stakeholder decision-making and the implementation of sustainable solutions. For the quantitative accuracy assessment, a stratified random sampling approach was implemented where special emphasis was placed on (i) allocation of sampling units for rare land cover change categories; (ii) effective and accurate labelling of large numbers of sampling units; (iii) accuracy and area estimation in one consistent approach; and (iv) derivation of confidence intervals for all accuracy measures and area estimates. To handle correlations, large uncertainties, and complex probability density functions, bootstrapping was applied instead of analytical equations, which are based on normality assumptions. This paper presents the Quality Assurance and Quality Control framework applied to validate all the C-HSM thematic map products. The Kundelungu-Upemba KLC product results are presented as our use case.http://dx.doi.org/10.1080/22797254.2021.1978001validationmap accuracyland coverkey landscape for conservationcopernicus |
| spellingShingle | Zoltan Szantoi Gabriel Jaffrain Heinz Gallaun Conrad Bielski Karl Ruf Andrea Lupi Petra Miletich Anne-Cecile Giroux Irina Carlan Willibald Croi Helene Augu Christian Kowalewski Andreas Brink Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity European Journal of Remote Sensing validation map accuracy land cover key landscape for conservation copernicus |
| title | Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity |
| title_full | Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity |
| title_fullStr | Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity |
| title_full_unstemmed | Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity |
| title_short | Quality assurance and assessment framework for land cover maps validation in the Copernicus Hot Spot Monitoring activity |
| title_sort | quality assurance and assessment framework for land cover maps validation in the copernicus hot spot monitoring activity |
| topic | validation map accuracy land cover key landscape for conservation copernicus |
| url | http://dx.doi.org/10.1080/22797254.2021.1978001 |
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