{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T18:49:11Z","timestamp":1775674151063,"version":"3.50.1"},"reference-count":24,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2021,12,10]],"date-time":"2021-12-10T00:00:00Z","timestamp":1639094400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Soil erosion is a constant environmental threat for the entirety of Europe. Numerous studies have been published during the last years concerning assessing soil erosion utilising Remote Sensing (RS) and Geographic Information Systems (GIS). Such studies commonly employ empirical erosion models to estimate soil loss on various spatial scales. In this context, empirical models have been highlighted as major approaches to estimate soil loss on various spatial scales. Most of these models analyse environmental factors representing soil-erosion-influencing conditions such as the climate, topography, soil regime, and surface vegetation coverage. In this study, the Google Earth Engine (GEE) cloud computing platform and Sentinel-2 satellite imagery data have been combined to assess the vegetation-coverage-related factor known as cover management factor (C-factor) at a high spatial resolution (10 m) considering a total of 38 European countries. Based on the employment of the RS derivative of the Normalised Difference Vegetation Index (NDVI) for January and December 2019, a C-factor map was generated due to mean annual estimation. National values were then calculated in terms of different types of agricultural land cover classes. Furthermore, the European C-factor (CEUROPE) values concerning the island of Crete (Greece) were compared with relevant values estimated for the island (CCRETE) based on Sentinel-2 images being individually selected at a monthly time-step of 2019 to generate a series of 12 maps for the C-factor in Crete. Our results yielded identical C-factor values for the different approaches. The outcomes denote GEE\u2019s high analytic and processing abilities to analyse massive quantities of data that can provide efficient digital products for soil-erosion-related studies.<\/jats:p>","DOI":"10.3390\/rs13245019","type":"journal-article","created":{"date-parts":[[2021,12,10]],"date-time":"2021-12-10T08:17:58Z","timestamp":1639124278000},"page":"5019","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Towards the Assessment of Soil-Erosion-Related C-Factor on European Scale Using Google Earth Engine and Sentinel-2 Images"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4070-4654","authenticated-orcid":false,"given":"Dimitrios D.","family":"Alexakis","sequence":"first","affiliation":[{"name":"Lab of Geophysical-Satellite Remote Sensing and Archaeo-Environment, Institute for Mediterranean Studies, Foundation for Research and Technology-Hellas, 74100 Rethymno, Greece"}]},{"given":"Stelios","family":"Manoudakis","sequence":"additional","affiliation":[{"name":"School of Chemical and Environmental Engineering, Technical University of Crete, 73100 Chania, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9106-6766","authenticated-orcid":false,"given":"Athos","family":"Agapiou","sequence":"additional","affiliation":[{"name":"Earth Observation Cultural Heritage Research Lab, Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Lemesos 3036, Cyprus"},{"name":"Eratosthenes Centre of Excellence, Lemesos 3036, Cyprus"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7889-9616","authenticated-orcid":false,"given":"Christos","family":"Polykretis","sequence":"additional","affiliation":[{"name":"Lab of Geophysical-Satellite Remote Sensing and Archaeo-Environment, Institute for Mediterranean Studies, Foundation for Research and Technology-Hellas, 74100 Rethymno, Greece"},{"name":"School of Chemical and Environmental Engineering, Technical University of Crete, 73100 Chania, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Polykretis, C., Alexakis, D.D., Grillakis, M.G., and Manoudakis, S. (2020). Assessment of Intra-Annual and Inter-Annual Variabilities of Soil Erosion in Crete Island (Greece) by Incorporating the Dynamic \u201cNature\u201d of R and C-Factors in RUSLE Modeling. Remote Sens., 12.","DOI":"10.3390\/rs12152439"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Panagos, P., Ballabio, C., Poesen, J., Lugato, E., Scarpa, S., Montanarella, L., and Borrelli, P. (2020). A Soil Erosion Indicator for Supporting Agricultural, Environmental and Climate Policies in the European Union. Remote Sens., 12.","DOI":"10.3390\/rs12091365"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"104604","DOI":"10.1016\/j.catena.2020.104604","article-title":"GIS-based soil erosion modelling under various steep-slope vineyard practices","volume":"193","author":"Pijl","year":"2020","journal-title":"Catena"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"104756","DOI":"10.1016\/j.catena.2020.104756","article-title":"Assessing temporal trends of soil erosion and sediment redistribution in the Hexi Corridor region using the integrated RUSLE-TLSD model","volume":"195","author":"Lin","year":"2020","journal-title":"Catena"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.jhydrol.2010.01.024","article-title":"Event soil loss, runoff and the Universal Soil Loss Equation family of models: A review","volume":"385","author":"Kinnell","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4752","DOI":"10.3390\/ijerph10104752","article-title":"An Upscaling Method for Cover-Management Factor and Its Application in the Loess Plateau of China","volume":"10","author":"Zhao","year":"2013","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"105753","DOI":"10.1016\/j.catena.2021.105753","article-title":"Simulating the effects of erosion on organic carbon dynamics in soil erosion","volume":"208","author":"Lin","year":"2022","journal-title":"Catena"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.geoderma.2016.03.016","article-title":"Evaluation of RUSLE and PESERA models for predicting soil erosion losses in the first year after wildfire in NW Spain","volume":"273","author":"Fernandez","year":"2016","journal-title":"Geoderma"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1007\/s11368-017-1783-4","article-title":"Estimation of the cover and management factor based on stratified coverage and remote sensing indices: A case study in the Loess Plateau of China","volume":"18","author":"Feng","year":"2017","journal-title":"J. Soils Sediments"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.landusepol.2015.05.021","article-title":"Estimating the soil erosion cover-management factor at the European scale","volume":"48","author":"Panagos","year":"2015","journal-title":"Land Use Policy"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.rse.2006.06.018","article-title":"Land-cover change detection using multi-temporal MODIS NDVI data","volume":"105","author":"Lunetta","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.iswcr.2019.08.005","article-title":"Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions","volume":"7","author":"Almagro","year":"2019","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1080\/01431161.2013.871081","article-title":"NDVI time series for monitoring RUSLE cover management factor in a tropical watershed","volume":"35","author":"Durigon","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Ayalew, D.A., Deumlich, D., \u0160arapatka, B., and Doktor, D. (2020). Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data. Remote Sens., 12.","DOI":"10.3390\/rs12071136"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Ravanelli, R., Nascetti, A., Cirigliano, R.V., Di Rico, C., Leuzzi, G., Monti, P., and Crespi, M. (2018). Monitoring the Impact of Land Cover Change on Surface Urban Heat Island through Google Earth Engine: Proposal of a Global Methodology, First Applications and Problems. Remote Sens., 10.","DOI":"10.3390\/rs10091488"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.envres.2017.11.010","article-title":"The G2 erosion model: An algorithm for month-time step assessments","volume":"161","author":"Karydas","year":"2018","journal-title":"Environ. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"112117","DOI":"10.1016\/j.rse.2020.112117","article-title":"Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison","volume":"252","author":"Silvero","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_18","unstructured":"Van der Knijff, J.M., Jones, R.J.A., and Montanarella, L. (2000). Soil Erosion Risk Assessment in Europe, European Commission, European Soil Bureau."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.rse.2018.04.008","article-title":"Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland","volume":"211","author":"Schmidt","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1080\/10106049.2016.1273398","article-title":"Effect of cover management factor in quantification of soil loss: Case study of Sungai Akah subwatershed, Baram River basin Sarawak, Malaysia","volume":"33","author":"Vijith","year":"2018","journal-title":"Geocarto Int."},{"key":"ref_21","first-page":"102266","article-title":"The content and accuracy of the CORINE Land Cover dataset for Norway","volume":"96","author":"Strand","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1080\/10106049.2016.1250826","article-title":"Assessing soil salinity using WorldView-2 multispectral images in Timpaki, Crete, Greece","volume":"33","author":"Alexakis","year":"2018","journal-title":"Geocarto Int."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1002\/ldr.2898","article-title":"Object-oriented soil erosion modelling: A possible paradigm shift from potential to actual risk assessments in agricultural environments","volume":"29","author":"Borrelli","year":"2018","journal-title":"Land Degrad. Dev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1002\/esp.3738","article-title":"Orders of magnitude increase in soil erosion associated with land use change from native to cultivated vegetation in a Brazilian savannah environment","volume":"40","author":"Oliveira","year":"2015","journal-title":"Earth Surf. Process. Landf."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/24\/5019\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:44:46Z","timestamp":1760168686000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/24\/5019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,10]]},"references-count":24,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["rs13245019"],"URL":"https:\/\/doi.org\/10.3390\/rs13245019","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,10]]}}}