{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T21:21:53Z","timestamp":1778620913722,"version":"3.51.4"},"reference-count":61,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T00:00:00Z","timestamp":1585785600000},"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>The classification of plant associations and their mapping play a key role in defining habitat biodiversity management, monitoring, and conservation strategies. In this work we present a methodological framework to map Mediterranean forest plant associations and habitats that relies on the application of the Functional Principal Component Analysis (FPCA) to the remotely sensed Normalized Difference Vegetation Index (NDVI) time series. FPCA, considering the chronological order of the data, reduced the NDVI time series data complexity and provided (as FPCA scores) the main seasonal NDVI phenological variations of the forests. We performed a supervised classification of the FPCA scores combined with topographic and lithological features of the study area to map the forest plant associations. The supervised mapping achieved an overall accuracy of 87.5%. The FPCA scores contributed to the global accuracy of the map much more than the topographic and lithological features. The results showed that (i) the main seasonal phenological variations (FPCA scores) are effective spatial predictors to obtain accurate plant associations and habitat maps; (ii) the FPCA is a suitable solution to simultaneously express the relationships between remotely sensed and ecological field data, since it allows us to integrate these two different perspectives about plant associations in a single graph. The proposed approach based on the FPCA is useful for forest habitat monitoring, as it can contribute to produce periodically detailed vegetation-based habitat maps that reflect the \u201ccurrent\u201d status of vegetation and habitats, also supporting the study of plant associations.<\/jats:p>","DOI":"10.3390\/rs12071132","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T05:55:16Z","timestamp":1585893316000},"page":"1132","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Mapping Mediterranean Forest Plant Associations and Habitats with Functional Principal Component Analysis Using Landsat 8 NDVI Time Series"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3913-4749","authenticated-orcid":false,"given":"Simone","family":"Pesaresi","sequence":"first","affiliation":[{"name":"Department of Agricultural, Food, and Environmental Sciences, D3A, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5281-9200","authenticated-orcid":false,"given":"Adriano","family":"Mancini","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, DII, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giacomo","family":"Quattrini","sequence":"additional","affiliation":[{"name":"Department of Agricultural, Food, and Environmental Sciences, D3A, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simona","family":"Casavecchia","sequence":"additional","affiliation":[{"name":"Department of Agricultural, Food, and Environmental Sciences, D3A, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,2]]},"reference":[{"key":"ref_1","unstructured":"(1992). CEC Council Directive 92\/43\/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora. Off. J. Eur. Union, 206, 7\u201350."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3318\/BIOE.2006.106.3.167","article-title":"The habitats of the European Union Habitats Directive","volume":"106","author":"Evans","year":"2006","journal-title":"Biol. Environ. Proc. R. Irish Acad."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s12210-018-0690-y","article-title":"Phytosociological relationships in European Union policy-related habitat classifications","volume":"29","author":"Rodwell","year":"2018","journal-title":"Rend. Lincei"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1080\/11263504.2011.602748","article-title":"Phytosociology today: Methodological and conceptual evolution","volume":"145","author":"Biondi","year":"2011","journal-title":"Plant Biosyst."},{"key":"ref_5","first-page":"5","article-title":"Diagnosis and syntaxonomic interpretation of Annex I Habitats (Dir. 92\/43\/EEC) in Italy at the alliance level","volume":"49","author":"Biondi","year":"2012","journal-title":"Plant Sociol."},{"key":"ref_6","first-page":"77","article-title":"A methodological protocol for Annex I Habitats monitoring: The contribution of vegetation science","volume":"53","author":"Gigante","year":"2016","journal-title":"Plant Sociol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"853","DOI":"10.3390\/ijgi3020853","article-title":"SIT-REM: An Interoperable and Interactive Web Geographic Information System for Fauna, Flora and Plant Landscape Data Management","volume":"3","author":"Frontoni","year":"2014","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1080\/17445647.2015.1044040","article-title":"Detailed Natura 2000 and CORINE Biotopes habitat maps of the island of Elba (Tuscan Archipelago, Italy)","volume":"12","author":"Viciani","year":"2016","journal-title":"J. Maps"},{"key":"ref_9","first-page":"335","article-title":"State-of-the-art of vegetation mapping in Europe: Results of a European survey and contribution to the French program CarHAB","volume":"6","author":"Ichter","year":"2017","journal-title":"Doc. Phytosociol. S\u00e9rie 3"},{"key":"ref_10","unstructured":"Poncet, L., Spyropoulou, R., and Martins, I.P. (2014). Terrestrial Habitat Mapping in Europe: An Overview, MNHN-EEA."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jnc.2010.07.003","article-title":"Integrating remote sensing in Natura 2000 habitat monitoring: Prospects on the way forward","volume":"19","author":"Paelinckx","year":"2011","journal-title":"J. Nat. Conserv."},{"key":"ref_12","first-page":"7","article-title":"Remote sensing for mapping natural habitats and their conservation status\u2014New opportunities and challenges","volume":"37","author":"Corbane","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2991","DOI":"10.3390\/rs70302991","article-title":"Mapping natura 2000 habitat conservation status in a pannonic salt steppe with airborne laser scanning","volume":"7","author":"Zlinszky","year":"2015","journal-title":"Remote Sens."},{"key":"ref_14","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1974). Monitoring Vegetation Systems in the Great Plains with ERTS, NASA. NASA. Goddard Space Flight Center 3d ERTS-1 Symp.; SEE 19740022592, Sect. A."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"L04705","DOI":"10.1029\/2004GL021961","article-title":"A global framework for monitoring phenological responses to climate change","volume":"32","author":"White","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2294","DOI":"10.1109\/JSTARS.2015.2431320","article-title":"Detecting the Phenology and Discriminating Mediterranean Natural Habitats with Multispectral Sensors-An Analysis Based on Multiseasonal Field Spectra","volume":"8","author":"Feret","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1080\/014311697218430","article-title":"Mediterranean vegetation analysis by multi-temporal satellite sensor data","volume":"18","author":"Grignetti","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s11258-008-9555-2","article-title":"Baseline characterization of major Iberian vegetation types based on the NDVI dynamics","volume":"202","author":"Cabello","year":"2009","journal-title":"Plant Ecol."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Marzialetti, F., Giulio, S., Malavasi, M., Sperandii, M.G., Acosta, A.T.R., and Carranza, M.L. (2019). Capturing Coastal Dune Natural Vegetation Types Using a Phenology-Based Mapping Approach: The Potential of Sentinel-2. Remote Sens., 11.","DOI":"10.3390\/rs11121506"},{"key":"ref_20","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_21","first-page":"1","article-title":"Worldwide bioclimatic classification system","volume":"1","author":"Penas","year":"2011","journal-title":"Glob. Geobot."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1080\/17445647.2017.1413017","article-title":"Bioclimates of Italy","volume":"13","author":"Pesaresi","year":"2017","journal-title":"J. Maps"},{"key":"ref_23","first-page":"141","article-title":"L\u2019ostrya carpinifolia scop. sul litorale delle Marche (Italia centrale)","volume":"2","author":"Biondi","year":"1982","journal-title":"Stud. Geobot."},{"key":"ref_24","unstructured":"Biondi, E. (1986). La Vegetazione del Monte Conero (Con Carta della Vegetazione alla Scala 1:10000), Tecnostampa."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"67","DOI":"10.7320\/FlMedit22.067","article-title":"The vascular flora of Conero Regional Nature Park (Marche, Central Italy)","volume":"22","author":"Biondi","year":"2012","journal-title":"Flora Mediterr."},{"key":"ref_26","first-page":"389","article-title":"Indagini Geobotaniche per il recupero del Rimboschimento del Monte Conero (Italia Centrale)","volume":"XVI","author":"Baiocco","year":"1996","journal-title":"Doc. Phytosociol. NS"},{"key":"ref_27","unstructured":"Angelini, P., Casella, L., Grignetti, A., and Genovesi, P. (2016). Manuali per il Monitoraggio di Specie e Habitat di Interesse Comunitario (Direttiva 92\/43\/CEE) in Italia: Habitat, ISPRA. Serie Manuali e linee guida, 142\/2016."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/BF02447515","article-title":"Scale problems in reporting landscape pattern at the regional scale","volume":"11","author":"Hunsaker","year":"1996","journal-title":"Landsc. Ecol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2148","DOI":"10.1109\/TGRS.2005.852480","article-title":"SCS + C: A modified Sun-canopy-sensor topographic correction in forested terrain","volume":"43","author":"Soenen","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","unstructured":"Leutner, B., Horning, N., and Schwalb-Willmann, J. (2020, April 01). RStoolbox: Tools for Remote Sensing Data Analysis. R Package Version 0.2.3. Available online: https:\/\/cran.r-project.org\/package=RStoolbox."},{"key":"ref_31","unstructured":"Hyndman, R., Athanasopoulos, G., Bergmeir, C., Caceres, G., Chhay, L., O\u2019Hara-Wild, M., Petropoulos, F., Razbash, S., Wang, E., and Yasmeen, F. (2020, April 01). forecast: Forecasting Functions for Time Series and Linear Models. R Package Version 8.6. Available online: https:\/\/cran.r-project.org\/package=forecast."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v027.i03","article-title":"Automatic Time Series Forecasting: The forecast Package for R","volume":"27","author":"Hyndman","year":"2008","journal-title":"J. Stat. Softw."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Ramsay, R., and Silverman, B. (2005). Functional Data Analysis, Springer.","DOI":"10.1007\/b98888"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"20130196","DOI":"10.1098\/rstb.2013.0196","article-title":"Functional analysis of normalized difference vegetation index curves reveals overwinter mule deer survival is driven by both spring and autumn phenology","volume":"369","author":"Hurley","year":"2014","journal-title":"Philos. Trans. R. Soc. Lond. B. Biol. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1146\/annurev-statistics-041715-033624","article-title":"Functional Data Analysis","volume":"3","author":"Wang","year":"2016","journal-title":"Annu. Rev. Stat. Appl."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1198\/016214504000001745","article-title":"Functional data analysis for sparse longitudinal data","volume":"100","author":"Yao","year":"2005","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_37","unstructured":"Dai, X., Hadjipantelis, P.Z., Han, K., and Ji, H. (2020, April 01). fdapace: Functional Data Analysis and Empirical Dynamics. R Package Version 0.4.0. Available online: https:\/\/cran.r-project.org\/package=fdapace."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3161\/15052249PJE2017.65.2.001","article-title":"The effects of environmental features and overstory composition on the understory species assemblage in sub-mediterranean coppiced woods: Implications for a sustainable forest management","volume":"65","author":"Tardella","year":"2017","journal-title":"Polish J. Ecol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Dubeau, P., King, D.J., Unbushe, D.G., and Rebelo, L.M. (2017). Mapping the Dabus Wetlands, Ethiopia, using random forest classification of Landsat, PALSAR and topographic data. Remote Sens., 9.","DOI":"10.3390\/rs9101056"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Marcinkowska-Ochtyra, A., Gryguc, K., Ochtyra, A., Kope\u0107, D., Jaroci\u0144ska, A., and S\u0142awik, \u0141. (2019). Multitemporal Hyperspectral Data Fusion with Topographic Indices\u2014Improving Classification of Natura 2000 Grassland Habitats. Remote Sens., 11.","DOI":"10.3390\/rs11192264"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.5194\/gmd-8-1991-2015","article-title":"System for Automated Geoscientific Analyses (SAGA) v. 2.1.4","volume":"8","author":"Conrad","year":"2015","journal-title":"Geosci. Model Dev."},{"key":"ref_42","unstructured":"Hengl, T., and Reuter, H.I. (2009). Land-Surface Parameters Specific to Topo-Climatology. Developments in Soil Science, Elsevier. Chapter 8."},{"key":"ref_43","unstructured":"Marche, R. (2020, April 01). La Carta Geologica della Regione Marche in Scala 1:10.000. Available online: http:\/\/www.regione.marche.it\/Regione-Utile\/Paesaggio-Territorio-Urbanistica\/Cartografia\/Repertorio\/Cartageologicaregionale10000."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1023\/A:1009841519580","article-title":"GLM versus CCA spatial modeling of plant species distribution","volume":"143","author":"Guisan","year":"1999","journal-title":"Plant Ecol."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Richardson, D., Castree, N., Goodchild, M.F., Kobayashi, A., Liu, W., and Marston, R.A. (2017). Phytosociology. International Encyclopedia of Geography: People, the Earth, Environment and Technology, John Wiley & Sons, Ltd.","DOI":"10.1002\/9781118786352"},{"key":"ref_46","unstructured":"Conard, H.S., and Fuller, G.D. (1932). Plant Sociology; The Study of Plant Communities, McGraw-Hill Inc.. [1st ed.]."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1080\/11263504.2011.572569","article-title":"Phytosociological synrelev\u00e9s and plant landscape mapping: From theory to practice","volume":"145","author":"Biondi","year":"2011","journal-title":"Plant Biosyst."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"3566","DOI":"10.1890\/08-1823.1","article-title":"Associations between species and groups of sites: Indices and statistical inference","volume":"90","author":"Legendre","year":"2009","journal-title":"Ecology"},{"key":"ref_49","unstructured":"Oksanen, J., Blanchet, F.G., Friendly, M., Kindt, R., Legendre, P., McGlinn, D., Minchin, P.R., O\u2019Hara, R.B., Simpson, G.L., and Solymos, P. (2020, April 01). Vegan: Community Ecology Package. R Package Version 2.5-3. Available online: https:\/\/cran.r-project.org\/package=vegan."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.isprsjprs.2016.01.011","article-title":"Random forest in remote sensing: A review of applications and future directions","volume":"114","author":"Belgiu","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/s10980-009-9341-0","article-title":"Gradient modeling of conifer species using random forests","volume":"24","author":"Evans","year":"2009","journal-title":"Landsc. Ecol."},{"key":"ref_53","unstructured":"Hijmans, R.J. (2020, April 01). Raster: Geographic Data Analysis and Modeling. R Package Version 2.8-4. Available online: https:\/\/cran.r-project.org\/package=raster."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v028.i05","article-title":"Building Predictive Models in R Using the caret Package","volume":"28","author":"Kuhn","year":"2008","journal-title":"J. Stat. Softw."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2014.06.012","article-title":"Accurate mapping of forest types using dense seasonal landsat time-series","volume":"96","author":"Zhu","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"7987","DOI":"10.3390\/rs70607987","article-title":"Remote sensing and GIS for habitat quality monitoring: New approaches and future research","volume":"7","author":"Zlinszky","year":"2015","journal-title":"Remote Sens."},{"key":"ref_57","first-page":"314","article-title":"Remotely-sensed phenology of Italian forests: Going beyond the species","volume":"74","author":"Bajocco","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Bajocco, S., Dragoz, E., Gitas, I., Smiraglia, D., Salvati, L., and Ricotta, C. (2015). Mapping Forest Fuels through Vegetation Phenology: The Role of Coarse-Resolution Satellite Time-Series. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0119811"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1111\/avsc.12179","article-title":"A comparative framework for broad-scale plot-based vegetation classification","volume":"18","author":"Agrillo","year":"2015","journal-title":"Appl. Veg. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1109\/TGRS.2003.811693","article-title":"Assessment of different topographic corrections in landsat-TM data for mapping vegetation types (2003)","volume":"41","author":"Chuvieco","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1177\/030913330002400403","article-title":"Plant functional types: An alternative to taxonomic plant community description in biogeography?","volume":"24","author":"Duckworth","year":"2000","journal-title":"Prog. Phys. Geogr. Earth Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/7\/1132\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:14:58Z","timestamp":1760174098000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/7\/1132"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,2]]},"references-count":61,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["rs12071132"],"URL":"https:\/\/doi.org\/10.3390\/rs12071132","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,2]]}}}