{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T13:32:35Z","timestamp":1768829555529,"version":"3.49.0"},"reference-count":59,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,29]],"date-time":"2022-12-29T00:00:00Z","timestamp":1672272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"F\u00e9d\u00e9ration Wallonie-Bruxelles"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Grassland management practices and intensities are key factors influencing the quality and balance of their provisioning and regulating ecosystem services. Most European temperate grasslands are exploited through mowing, grazing, or a combination of both in relatively small management units. Grazing and mowing can however not be considered equivalent because the first is gradual and selective and the second is not. In this study, the aim is to differentiate grasslands in terms of management practices and to retrieve homogeneous management units. Grasslands are classified hierarchically, first through a pixel-based supervised classification to differentiate grazed pastures from mown hay meadows and then through an object-based mowing detection method to retrieve the timing and frequency of mowing events. A large field dataset was used to calibrate and validate the method. For the classification, 18 different input feature combinations derived from Sentinel-1 and Sentinel-2 were tested for a random forest classifier through a cross-validation scheme. The best results were obtained based on the Leaf Area Index (LAI) times series with cubic spline interpolation. The classification differentiated pastures (grazed) from hay meadows (mown) with an overall accuracy of 88%. The classification is then combined with the existing parcel delineation and high-resolution ancillary data to retrieve the homogeneous management units, which are used for the object-based mowing detection based on the Sentinel-1 coherence and Sentinel-2 NDVI. The mowing detection performances were increased thanks to the grassland mask, the management unit delineation, and the exclusion of pastures, reaching a precision of 93% and a detection rate of 82%. This hierarchical grassland classification approach allowed to differentiate three types of grasslands, namely pastures, and meadows (including mixed practices) with an early first mowing event and with a late first mowing event, with an overall accuracy of 79%. The grasslands could be further differentiated by mowing frequency, resulting in five final classes.<\/jats:p>","DOI":"10.3390\/rs15010181","type":"journal-article","created":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T03:18:18Z","timestamp":1672370298000},"page":"181","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Classifying Sub-Parcel Grassland Management Practices by Optical and Microwave Remote Sensing"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5591-1472","authenticated-orcid":false,"given":"Mathilde","family":"De Vroey","sequence":"first","affiliation":[{"name":"Earth and Life Institute, Universit\u00e9 Catholique De Louvain, 1348 Louvain-la-Neuve, Belgium"}]},{"given":"Julien","family":"Radoux","sequence":"additional","affiliation":[{"name":"Earth and Life Institute, Universit\u00e9 Catholique De Louvain, 1348 Louvain-la-Neuve, Belgium"}]},{"given":"Pierre","family":"Defourny","sequence":"additional","affiliation":[{"name":"Earth and Life Institute, Universit\u00e9 Catholique De Louvain, 1348 Louvain-la-Neuve, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1093\/aob\/mcs209","article-title":"The role of grasslands in food security and climate change","volume":"110","year":"2012","journal-title":"Ann. Bot."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"20888","DOI":"10.1073\/pnas.1308149110","article-title":"Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems","volume":"110","author":"Herrero","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"e02582","DOI":"10.1002\/ecs2.2582","article-title":"Grasslands\u2014More important for ecosystem services than you might think","volume":"10","author":"Bengtsson","year":"2019","journal-title":"Ecosphere"},{"key":"ref_4","first-page":"1","article-title":"Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands","volume":"12","author":"Chang","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1007\/s10980-020-00980-3","article-title":"Grassland ecosystem services: A systematic review of research advances and future directions","volume":"35","author":"Zhao","year":"2020","journal-title":"Landsc. Ecol."},{"key":"ref_6","unstructured":"P\u00e4rtel, M., Bruun, H.H., and Sammul, M. (2005). Biodiversity in temperate European grasslands: Origin and conservation. Grassland Science in Europe, Grassland Science in Europe."},{"key":"ref_7","first-page":"114","article-title":"Biodiversity, land use and ecosystem services\u2014An organismic and comparative approach to different geographical regions","volume":"10","author":"Zeller","year":"2017","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1080\/014311600210209","article-title":"Global land cover classification at 1 km spatial resolution using a classification tree approach","volume":"21","author":"Hansen","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","unstructured":"Arino, O., Ramos Perez, J., Kalogirou, V., Van Bogaert, E., Defourny, P., and Bontemps, S. (2012). Global Land Cover Map for 2009 (GlobCover 2009), European Space Agency (ESA) and Universit\u00e9 catholique de Louvain (UCL)."},{"key":"ref_10","unstructured":"Tsendbazar, N., Herold, M., Mayaux, P., Achard, F., Kirches, G., Brockmann, C., Boettcher, M., Lamarche, C., Bontemps, S., and Defourny, P. (2014). CCI Land Cover Product Validation and Inter-Comparison Report, Universit\u00e9 catholique de Louvain (UCL)\u2014Geomatics. Technical Report."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1111\/1365-2745.12014","article-title":"Relative contributions of plant traits and soil microbial properties to mountain grassland ecosystem services","volume":"101","author":"Grigulis","year":"2013","journal-title":"J. Ecol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.agee.2017.10.023","article-title":"Critical review of the impacts of grazing intensity on soil organic carbon storage and other soil quality indicators in extensively managed grasslands","volume":"253","author":"Abdalla","year":"2018","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"13518","DOI":"10.1002\/ece3.6957","article-title":"Modeling the effects of grassland management intensity on biodiversity","volume":"10","author":"Klein","year":"2020","journal-title":"Ecol. Evol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.jenvman.2006.04.021","article-title":"Farm management indicators and farm typologies as a basis for assessments in a changing policy environment","volume":"82","author":"Andersen","year":"2007","journal-title":"J. Environ. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.biocon.2012.02.024","article-title":"Herbivore and pollinator responses to grassland management intensity along experimental changes in plant species richness","volume":"150","author":"Hudewenz","year":"2012","journal-title":"Biol. Conserv."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e01545","DOI":"10.1002\/ecs2.1545","article-title":"Losers, winners, and opportunists: How grassland land-use intensity affects orthopteran communities","volume":"7","author":"Mody","year":"2016","journal-title":"Ecosphere"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1111\/jvs.12749","article-title":"Will I stay or will I go? Plant species-specific response and tolerance to high land-use intensity in temperate grassland ecosystems","volume":"30","author":"Busch","year":"2019","journal-title":"J. Veg. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"108255","DOI":"10.1016\/j.biocon.2019.108255","article-title":"High land-use intensity in grasslands constrains wild bee species richness in Europe","volume":"241","author":"Ekroos","year":"2020","journal-title":"Biol. Conserv."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.1111\/ele.12325","article-title":"Density of insect-pollinated grassland plants decreases with increasing surrounding land-use intensity","volume":"17","author":"Clough","year":"2014","journal-title":"Ecol. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1073\/pnas.1312213111","article-title":"Interannual variation in land-use intensity enhances grassland multidiversity","volume":"111","author":"Allan","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_21","unstructured":"Dufr\u00eane, M., and Delescaille, L.M. (2022, December 23). La Typologie WalEUNIS des Biotopes Wallons, Version 1.0. Available online: http:\/\/biodiversite.wallonie.be."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.baae.2012.04.001","article-title":"A quantitative index of land-use intensity in grasslands: Integrating mowing, grazing and fertilization","volume":"13","author":"Dormann","year":"2012","journal-title":"Basic Appl. Ecol."},{"key":"ref_23","unstructured":"Tonn, B., Bausson, C., Ten Berge, H., Buchmann, N., Bufe, C., Eggers, S., Fern\u00e1ndez-Rebollo, P., Forster-Brown, C., Hiron, M., and Klaus, V. (2020, January 19\u201321). A management-based typology for European permanent grasslands. Proceedings of the 28th General Meeting of European Grassland Federation, Online."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1093\/jpe\/rtw005","article-title":"Satellite remote sensing of grasslands: From observation to management","volume":"9","author":"Ali","year":"2016","journal-title":"J. Plant Ecol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Reinermann, S., Asam, S., and Kuenzer, C. (2020). Remote Sensing of Grassland Production and Management\u2014A Review. Remote Sens., 12.","DOI":"10.3390\/rs12121949"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.rse.2019.01.018","article-title":"Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities","volume":"223","author":"Rapinel","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Fazzini, P., De Felice Proia, G., Adamo, M., Blonda, P., Petracchini, F., Forte, L., and Tarantino, C. (2021). Sentinel-2 Remote Sensed Image Classification with Patchwise Trained ConvNets for Grassland Habitat Discrimination. Remote Sens., 13.","DOI":"10.3390\/rs13122276"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/j.baae.2021.07.002","article-title":"Radar remote sensing as a novel tool to assess the performance of an agri-environment scheme in coastal grasslands","volume":"56","author":"Kaasiku","year":"2021","journal-title":"Basic Appl. Ecol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"106201","DOI":"10.1016\/j.ecolind.2020.106201","article-title":"Spatial monitoring of grassland management using multi-temporal satellite imagery","volume":"113","author":"Stumpf","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.jnc.2012.02.001","article-title":"Assessment of grassland use intensity by remote sensing to support conservation schemes","volume":"20","author":"Franke","year":"2012","journal-title":"J. Nat. Conserv."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"285","DOI":"10.5194\/isprsarchives-XL-7-W3-285-2015","article-title":"Estimation of grassland use intensities based on high spatial resolution LAI time series","volume":"XL-7\/W3","author":"Asam","year":"2015","journal-title":"ISPRS\u2014Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.rse.2017.06.003","article-title":"Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators","volume":"198","author":"Keller","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"074020","DOI":"10.1088\/1748-9326\/aacc7a","article-title":"Combining satellite data and agricultural statistics to map grassland management intensity in Europe","volume":"13","author":"Estel","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"118","DOI":"10.3390\/agriengineering3010008","article-title":"Sen2Grass: A Cloud-Based Solution to Generate Field-Specific Grassland Information Derived from Sentinel-2 Imagery","volume":"3","author":"Hardy","year":"2021","journal-title":"AgriEngineering"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Savage, J., Woodcock, B.A., Bullock, J.M., Nowakowski, M., Tallowin, J.R., and Pywell, R.F. (2021). Management to Support Multiple Ecosystem Services from Productive Grasslands. Sustainability, 13.","DOI":"10.3390\/su13116263"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.agee.2018.08.016","article-title":"Assessing the impact of grassland management extensification in temperate areas on multiple ecosystem services and biodiversity","volume":"267","author":"Reubens","year":"2018","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Kolecka, N., Ginzler, C., Pazur, R., Price, B., and Verburg, P.H. (2018). Regional Scale Mapping of Grassland Mowing Frequency with Sentinel-2 Time Series. Remote Sens., 10.","DOI":"10.3390\/rs10081221"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"112795","DOI":"10.1016\/j.rse.2021.112795","article-title":"Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series","volume":"269","author":"Schwieder","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Voormansik, K., Zalite, K., S\u00fcnter, I., Tamm, T., Koppel, K., Verro, T., Brauns, A., Jakovels, D., and Praks, J. (2020). Separability of Mowing and Ploughing Events on Short Temporal Baseline Sentinel-1 Coherence Time Series. Remote Sens., 12.","DOI":"10.3390\/rs12223784"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"De Vroey, M., Radoux, J., and Defourny, P. (2021). Grassland Mowing Detection Using Sentinel-1 Time Series: Potential and Limitations. Remote Sens., 13.","DOI":"10.3390\/rs13030348"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"112751","DOI":"10.1016\/j.rse.2021.112751","article-title":"Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series","volume":"267","author":"Lobert","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"113145","DOI":"10.1016\/j.rse.2022.113145","article-title":"Mowing detection using Sentinel-1 and Sentinel-2 time series for large scale grassland monitoring","volume":"280","author":"Zavagli","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Tamm, T., Zalite, K., Voormansik, K., and Talgre, L. (2016). Relating Sentinel-1 Interferometric Coherence to Mowing Events on Grasslands. Remote Sens., 8.","DOI":"10.3390\/rs8100802"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"111124","DOI":"10.1016\/j.rse.2019.03.017","article-title":"Towards national-scale characterization of grassland use intensity from integrated Sentinel-2 and Landsat time series","volume":"238","author":"Griffiths","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s12524-017-0667-9","article-title":"Using Red Edge Position Shift to Monitor Grassland Grazing Intensity in Inner Mongolia","volume":"46","author":"Zheng","year":"2018","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_46","unstructured":"(2021, July 23). Statbel. (Direction G\u00e9n\u00e9rale Statistique\u2013Statistics Belgium)\u2013Service Public F\u00e9d\u00e9ral Economie, P.M.E., Classes Moyennes et Energie. Chiffres Cl\u00e9s de l\u2019Agriculture, Available online: https:\/\/statbel.fgov.be\/sites\/default\/files\/files\/documents\/landbouw."},{"key":"ref_47","unstructured":"ESA (2022, December 23). Sentinel Application Platform (snap). v6.0. Available online: http:\/\/step.esa.int."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.rse.2011.10.028","article-title":"Object-based cloud and cloud shadow detection in Landsat imagery","volume":"118","author":"Zhu","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Baetens, L., Desjardins, C., and Hagolle, O. (2019). Validation of copernicus Sentinel-2 cloud masks obtained from MAJA, Sen2Cor, and FMask processors using reference cloud masks generated with a supervised active learning procedure. Remote Sens., 11.","DOI":"10.3390\/rs11040433"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/S0034-4257(99)00045-0","article-title":"Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data","volume":"70","author":"Weiss","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_51","unstructured":"Inglada, J. (2022, December 23). OTB Gapfilling, a Temporal Gapfilling for Image Time Series Library. Available online: https:\/\/www.orfeo-toolbox.org\/CookBook\/Applications\/app_ImageTimeSeriesGapFilling.html."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40965-017-0031-6","article-title":"Orfeo ToolBox: Open source processing of remote sensing images","volume":"2","author":"Grizonnet","year":"2017","journal-title":"Open Geospat. Data Softw. Stand."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"12356","DOI":"10.3390\/rs70912356","article-title":"Assessment of an operational system for crop type map production using high temporal and spatial resolution satellite optical imagery","volume":"7","author":"Inglada","year":"2015","journal-title":"Remote Sens."},{"key":"ref_54","unstructured":"Radoux, J. (2022, December 23). LifeWatch Land Cover Product. Available online: https:\/\/maps.elie.ucl.ac.be\/lifewatch\/ecotopes.html?lang=en."},{"key":"ref_55","unstructured":"Bontemps, S., Bajec, K., Cara, C., Defourny, P., De Vendictis, L., Heymans, D., Kucera, L., Malcorps, P., Milcinski, G., and Nicola, L. (2022). Sen4CAP\u2014Sentinels for Common Agricultural Policy. Syst. Softw. User Manual. Sen4CAP_SUM_v1, 2, Available online: http:\/\/esa-sen4cap.org\/sites\/default\/files\/Sen4CAP_SUM_v3.1.pdf."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"8249","DOI":"10.1007\/s10661-014-4001-5","article-title":"Agricultural practices in grasslands detected by spatial remote sensing","volume":"186","author":"Dusseux","year":"2014","journal-title":"Environ. Monit. Assess."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/2047-2382-1-9","article-title":"Does delaying the first mowing date benefit biodiversity in meadowland?","volume":"1","author":"Humbert","year":"2012","journal-title":"Environ. Evid."},{"key":"ref_58","first-page":"e00619","article-title":"Traditional semi-natural grassland management with heterogeneous mowing times enhances flower resources for pollinators in agricultural landscapes","volume":"18","author":"Johansen","year":"2019","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1007\/s10980-017-0500-4","article-title":"Grassland songbird occurrence on remnant prairie patches is primarily determined by landscape characteristics","volume":"32","author":"Shahan","year":"2017","journal-title":"Landsc. Ecol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/181\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:55:04Z","timestamp":1760147704000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/181"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,29]]},"references-count":59,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["rs15010181"],"URL":"https:\/\/doi.org\/10.3390\/rs15010181","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,29]]}}}