land cover; map; landscape; remote sensing; biodiversity
Abstract :
[en] Ecosystem accounting is based on the definition of the extent and the status of an ecosystem. Land cover maps extents are representative of several ecosystems and can therefore be used to support ecosystem accounting if reliable change information is available. The dataset described in this paper aims to provide land cover information (13 classes) for biodiversity monitoring, which has driven two key features. On one hand, open areas were described in more details (5 classes) than in the other maps available in the study area in order to increase their relevance for biodiversity models. On the other hand, monitoring means that the time series must consist of comparable layers. The time series integrate information from existing high quality land cover maps that are not fully comparable, as well as thematic products (crop type, road network and forest type) and remote sensing data (25 cm orthophotos, 0.8 pts/m2 LIDAR and Sentinel-1&2 data). Because of the high spatial resolution of the data and the fragmented landscape, boundary errors could cause a large proportion of false change detection if the maps are classified independently. Buildings and forests were therefore consolidated across time in order to build a time series where these changes can be trusted. Based on an independent validation, the overall accuracy was 93.1%, 92.6%, 94.8% and 93.9% +/− 1.3% for the years 2006, 2015, 2018 and 2019, respectively. The specific assessment of forest patch change highlighted a 98% +/− 2.7% user accuracy across the 4 years and 85% of forest cut detection. This time series will be completed and further consolidated with other dates using the same protocol and legend.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Radoux, Julien
Bourdouxhe, Axel ; Université de Liège - ULiège > Département GxABT > Biodiversité et Paysage
Coppee, Thomas ; Université de Liège - ULiège > Département GxABT > Biodiversité et Paysage
De Vroey, Mathilde
Dufrêne, Marc ; Université de Liège - ULiège > Département GxABT > Biodiversité et Paysage
Defourny, Pierre
Language :
English
Title :
A Consistent Land Cover Map Time Series at 2 m Spatial Resolution—The LifeWatch 2006-2015-2018-2019 Dataset for Wallonia
Radoux J. Bourdouxhe A. Coos W. Dufrêne M. Defourny P. Improving ecotope segmentation by combining topographic and spectral data Remote Sens. 2019 11 354 10.3390/rs11030354
Available online: https://land.copernicus.eu/eagle/work-results-documentation-and-tools (accessed on 25 November 2022)
Delangre J. Radoux J. Dufrêne M. Landscape delineation strategy and size of mapping units impact the performance of habitat suitability models Ecol. Inform. 2018 47 55 60 10.1016/j.ecoinf.2017.08.005
Bourdouxhe A. Duflot R. Radoux J. Dufrêne M. Comparison of methods to model species habitat networks for decision-making in nature conservation: The case of the wildcat in southern Belgium J. Nat. Conserv. 2020 58 125901 10.1016/j.jnc.2020.125901
Olofsson P. Foody G. Herold M. Stehman S. Woodcock C. Wulder M. Good Practices for Assessing Accuracy and Estimating Area of Land Change Remote Sens. Environ. 2013 148 42 57 10.1016/j.rse.2014.02.015
Radoux J. Chomé G. Jacques D.C. Waldner F. Bellemans N. Matton N. Lamarche C. d’Andrimont R. Defourny P. Sentinel-2’s potential for sub-pixel landscape feature detection Remote Sens. 2016 8 488 10.3390/rs8060488
Bassine C. Radoux J. Beaumont B. Grippa T. Lennert M. Champagne C. De Vroey M. Martinet A. Bouchez O. Deffense N. et al. First 1-M Resolution Land Cover Map Labeling the Overlap in the 3rd Dimension: The 2018 Map for Wallonia Data 2020 5 117 10.3390/data5040117
Draime D. Denies J. Stephenne N. 2022 Updating the Walloon land cover map by operational application of artificial intelligence with a deep local authorities’ appropriation Proceedings of the ESA Living Planet Symposium Bonn, Germany 23–27 May 2022 Available online: https://express.converia.de/frontend/index.php# (accessed on 25 November 2022)
Grizonnet M. Michel J. Poughon V. Inglada J. Savinaud M. Cresson R. Orfeo ToolBox: Open source processing of remote sensing images Open Geospat. Data Softw. Stand. 2017 2 1 8 10.1186/s40965-017-0031-6
De Vroey M. de Vendictis L. Zavagli M. Bontemps S. Heymans D. Radoux J. Kotez B. Defourny P. Mowing detection using Sentinel-1 and Sentinel-2 time series for large scale grassland monitoring Remote Sens. Environ. 2022 280 113145 10.1016/j.rse.2022.113145
Radoux J. Lamarche C. Van Bogaert E. Bontemps S. Brockmann C. Defourny P. Automated training sample extraction for global land cover mapping Remote Sens. 2014 6 3965 3987 10.3390/rs6053965