{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T11:20:31Z","timestamp":1772191231084,"version":"3.50.1"},"reference-count":55,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T00:00:00Z","timestamp":1662681600000},"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>Vegetation phenology is that branch of science that describes periodic plant life cycle events across the growing seasons. Remote sensing typically monitors these significant events by means of time series of vegetation indices, permitting to characterize vegetation dynamics. It is well known that vegetation in urban areas, i.e., green spaces in general, may benefit human health mainly by mitigating noise and air pollution, promoting physical or social activities, and improving mental health. Based on the influence that green space exposure seems to exert on Public Health and using a multidisciplinary approach, we mapped phenological behavior of urban green areas to explore yearly persistence of their potential favorable effect, such as heat reduction, air purification, noise mitigation, and promotion of physical\/social activities and improvement of mental health. The study area corresponds to the municipality of Torino (about 800,000 inhabitants, NW, Italy). Renouncing to a rigorous at-species level phenological description, this work investigated macro-phenology of vegetated areas for the 2018, 2019 and 2020 years with reference to the new free and open Copernicus HR-VPP dataset. Vegetation type, deduced with reference to the 2019 BDTRE official technical map of the Piemonte Region, was considered and related to the correspondent macro-phenology using a limited number of metrics from the HR-VPP dataset. Investigation was aimed at exploring their capability of providing synthetic and easy-to-use information for urban planners. No validation was achieved about phenological metrics values (assuming their accuracy correspondent to the nominal one reported in the associated manuals). Nevertheless, a spatial validation was operated to investigate the capability of the dataset to properly recognize vegetated areas, thus providing correspondent metrics. Preliminary results showed a spatial inconsistency related to the HR-VPP dataset, that greatly overestimates (about 50%) vegetated areas in the city, assigning metric values to pixels that, if compared with technical maps, do not fall within vegetated areas. The work found out that, among HR-VPP metrics, LOS (Length Of Season) and SPROD (Seasonal Productivity) well characterized vegetation patches, making it possible to clearly read vegetation behavior, which can be effectively exploited to zone the city and make management of green areas and real estate considerations more effective.<\/jats:p>","DOI":"10.3390\/rs14184517","type":"journal-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T04:05:41Z","timestamp":1663041941000},"page":"4517","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Reading Greenness in Urban Areas: Possible Roles of Phenological Metrics from the Copernicus HR-VPP Dataset"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4570-8013","authenticated-orcid":false,"given":"Enrico","family":"Borgogno-Mondino","sequence":"first","affiliation":[{"name":"DISAFA, University of Torino, L.go Braccini 2, 10095 Grugliasco, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4234-3517","authenticated-orcid":false,"given":"Vanina","family":"Fissore","sequence":"additional","affiliation":[{"name":"ITHACA Srl, Via P.C. Boggio 61, 10138 Turin, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S0169-2046(03)00026-4","article-title":"Landscape Change and the Urbanization Process in Europe","volume":"67","author":"Antrop","year":"2004","journal-title":"Landsc. Urban Plan."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0013-7952(01)00028-X","article-title":"GIS-Based Geo-Environmental Evaluation for Urban Land-Use Planning: A Case Study","volume":"61","author":"Dai","year":"2001","journal-title":"Eng. Geol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.landurbplan.2012.06.007","article-title":"An Analysis of the Relationships between Multiple Values and Physical Landscapes at a Regional Scale Using Public Participation GIS and Landscape Character Classification","volume":"107","author":"Brown","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0198-9715(03)00019-X","article-title":"Defining a Hierarchy of Spatial Entities for Environmental Analysis and Modeling Using Digital Elevation Models (DEMs)","volume":"28","author":"MacMillan","year":"2004","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.gexplo.2013.10.007","article-title":"Environmental Research and Evaluation of Agricultural Soil of the Arta Plain, Western Hellas","volume":"136","author":"Alexakis","year":"2014","journal-title":"J. Geochem. Explor."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.apgeog.2014.10.002","article-title":"Monitoring Land Changes in an Urban Area Using Satellite Imagery, GIS and Landscape Metrics","volume":"56","author":"Liu","year":"2015","journal-title":"Appl. Geogr."},{"key":"ref_7","unstructured":"Orusa, T., and Borgogno Mondino, E. (, January 9\u201312). Landsat 8 Thermal Data to Support Urban Management and Planning in the Climate Change Era: A Case Study in Torino Area, NW Italy. Proceedings of the SPIE Remote Sensing, Strasbourg, France."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.proenv.2011.07.027","article-title":"Urban Morphology of Unplanned Settlements: The Use of Spatial Metrics in VHR Remotely Sensed Images","volume":"7","author":"Kuffer","year":"2011","journal-title":"Procedia Environ. Sci."},{"key":"ref_9","first-page":"401","article-title":"Monitoring Spatio-Temporal Dynamics of Urban and Peri-Urban Landscape Using Remote Sensing and GIS\u2014A Case Study from Central India","volume":"21","author":"Kar","year":"2018","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ecolind.2011.12.010","article-title":"A Multi-Criteria Approach for an Integrated Land-Cover-Based Assessment of Ecosystem Services Provision to Support Landscape Planning","volume":"21","author":"Koschke","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.landusepol.2012.09.018","article-title":"A Site Planning Approach for Rural Buildings into a Landscape Using a Spatial Multi-Criteria Decision Analysis Methodology","volume":"32","author":"Jeong","year":"2013","journal-title":"Land Use Policy"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Borgogno-Mondino, E., and Lessio, A. (2020). Geospatial Tools in Support of Urban Planning: A Possible Role of Historical Maps in Programming a Sustainable Future for Cities. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12252 LNCS, Springer.","DOI":"10.1007\/978-3-030-58811-3_47"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.landurbplan.2007.01.009","article-title":"Spatiotemporal Changes of Landscape Pattern in Response to Urbanization","volume":"81","author":"Weng","year":"2007","journal-title":"Landsc. Urban Plan."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.landurbplan.2010.10.004","article-title":"Landscape Metrics in the Analysis of Urban Land Use Patterns: A Case Study in a Spanish Metropolitan Area","volume":"99","author":"Aguilera","year":"2011","journal-title":"Landsc. Urban Plan."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.landurbplan.2010.12.002","article-title":"A Landscape Analysis of Land Cover Change in the Municipality of Rome (Italy): Spatio-Temporal Characteristics and Ecological Implications of Land Cover Transitions from 1954 to 2001","volume":"100","author":"Frondoni","year":"2011","journal-title":"Landsc. Urban Plan."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/S0167-8809(01)00200-6","article-title":"Theory, Data, Methods: Developing Spatially Explicit Economic Models of Land Use Change","volume":"85","author":"Irwin","year":"2001","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.landurbplan.2010.01.007","article-title":"Urban Form Revisited\u2014Selecting Indicators for Characterising European Cities","volume":"96","author":"Schwarz","year":"2010","journal-title":"Landsc. Urban Plan."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/j.ufug.2015.07.004","article-title":"Soil Quality and Landscape Metrics as Driving Factors in a Multi-Criteria GIS Procedure for Peri-Urban Land Use Planning","volume":"14","author":"Fabietti","year":"2015","journal-title":"Urban For. Urban Green."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1080\/15435075.2013.858047","article-title":"Site Selection of Large Ground-Mounted Photovoltaic Plants: A GIS Decision Support System and an Application to Italy","volume":"12","author":"Fabrizio","year":"2015","journal-title":"Int. J. Green Energy"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"119","DOI":"10.2134\/jeq2015.11.0567","article-title":"The Urban Forest and Ecosystem Services: Impacts on Urban Water, Heat, and Pollution Cycles at the Tree, Street, and City Scale","volume":"45","author":"Livesley","year":"2016","journal-title":"J. Environ. Qual."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"110999","DOI":"10.1016\/j.envres.2021.110999","article-title":"Geomatics and Epidemiology: Associating Oxidative Stress and Greenness in Urban Areas","volume":"197","author":"Squillacioti","year":"2021","journal-title":"Environ. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"054023","DOI":"10.1088\/1748-9326\/11\/5\/054023","article-title":"Urban Heat Island Impacts on Plant Phenology: Intra-Urban Variability and Response to Land Cover","volume":"11","author":"Zipper","year":"2016","journal-title":"Environ. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.envpol.2015.01.003","article-title":"Urban Phenological Studies\u2014Past, Present, Future","volume":"203","author":"Jochner","year":"2015","journal-title":"Environ. Pollut."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ren, Q., He, C., Huang, Q., and Zhou, Y. (2018). Urbanization Impacts on Vegetation Phenology in China. Remote Sens., 10.","DOI":"10.3390\/rs10121905"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Tian, J., Zhu, X., Wu, J., Shen, M., and Chen, J. (2020). Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology. Remote Sens., 12.","DOI":"10.3390\/rs12010117"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"126784","DOI":"10.1016\/j.ufug.2020.126784","article-title":"(Cecilia) Spatiotemporal Patterns of Vegetation Phenology along the Urban\u2013Rural Gradient in Coastal Dalian, China","volume":"54","author":"Yang","year":"2020","journal-title":"Urban For. Urban Green."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"111810","DOI":"10.1016\/j.rse.2020.111810","article-title":"Mapping Urban-Rural Gradients of Settlements and Vegetation at National Scale Using Sentinel-2 Spectral-Temporal Metrics and Regression-Based Unmixing with Synthetic Training Data","volume":"246","author":"Schug","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1016\/j.scitotenv.2017.06.245","article-title":"Characterizing Spatiotemporal Dynamics in Phenology of Urban Ecosystems Based on Landsat Data","volume":"605\u2013606","author":"Li","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"881","DOI":"10.5194\/essd-11-881-2019","article-title":"A Dataset of 30 m  Annual Vegetation Phenology Indicators (1985\u20132015) in Urban Areas of the Conterminous United States","volume":"11","author":"Li","year":"2019","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Pristeri, G., Peroni, F., Pappalardo, S.E., Codato, D., Masi, A., and De Marchi, M. (2021). Whose Urban Green? Mapping and Classifying Public and Private Green Spaces in Padua for Spatial Planning Policies. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10080538"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Aryal, J., Sitaula, C., and Aryal, S. (2022). NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia. Land, 11.","DOI":"10.3390\/land11030351"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2252","DOI":"10.1080\/10106049.2020.1815867","article-title":"Seasonal Impact on the Relationship between Land Surface Temperature and Normalized Difference Vegetation Index in an Urban Landscape","volume":"37","author":"Guha","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/s42489-022-00107-5","article-title":"Experimental Analysis of Geo-Spatial Data to Evaluate Urban Greenspace: A Case Study in Dortmund, Germany","volume":"72","author":"Juergens","year":"2022","journal-title":"KN\u2014J. Cartogr. Geogr. Inf."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.landurbplan.2012.01.003","article-title":"Urban Neighborhood Green Index\u2014A Measure of Green Spaces in Urban Areas","volume":"105","author":"Gupta","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_35","first-page":"102210","article-title":"The Urban Greenness Score: A Satellite-Based Metric for Multi-Decadal Characterization of Urban Land Dynamics","volume":"93","author":"Czekajlo","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_36","first-page":"41","article-title":"The BBCH System to Coding the Phenological Growth Stages of Plants\u2013History and Publications","volume":"61","author":"Meier","year":"2009","journal-title":"J. Kult."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Misra, G., Cawkwell, F., and Wingler, A. (2020). Status of Phenological Research Using Sentinel-2 Data: A Review. Remote Sensing, 12.","DOI":"10.3390\/rs12172760"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Battisti, L., Pomatto, E., and Larcher, F. (2020). Assessment and Mapping Green Areas Ecosystem Services and Socio-Demographic Characteristics in Turin Neighborhoods (Italy). Forests, 11.","DOI":"10.3390\/f11010025"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"111937","DOI":"10.1016\/j.envres.2021.111937","article-title":"Satellite-Based Phenology Products and In-Situ Pollen Dynamics: A Comparative Assessment","volume":"204","author":"Li","year":"2022","journal-title":"Environ. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1029\/2020EO147021","article-title":"Eyes in the Sky Improve Pollen Tracking: Physicians, Public Health Officials, and Experts in Remote Sensing and Ecology Are Identifying Ways That Satellites, Webcams, and Crowdsourcing Could Help Them Manage Asthma and Allergies","volume":"101","author":"Asrar","year":"2020","journal-title":"EOS"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Sogno, P., Traidl-Hoffmann, C., and Kuenzer, C. (2020). Earth Observation Data Supporting Non-Communicable Disease Research: A Review. Remote Sens., 12.","DOI":"10.3390\/rs12162541"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.scitotenv.2018.03.191","article-title":"Dynamic Ecological Observations from Satellites Inform Aerobiology of Allergenic Grass Pollen","volume":"633","author":"Devadas","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"05018011","DOI":"10.1061\/(ASCE)UP.1943-5444.0000458","article-title":"Capitalization of Urban Green Vegetation in a Housing Market with Poor Environmental Quality: Evidence from Beijing","volume":"144","author":"Mei","year":"2018","journal-title":"J. Urban Plan. Dev."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Wei, C., Fu, M., Wang, L., Yang, H., Tang, F., and Xiong, Y. (2022). The Research Development of Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data. Land, 11.","DOI":"10.3390\/land11030334"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"441","DOI":"10.18306\/dlkxjz.2021.03.008","article-title":"Effect of green space on residents\u2019place attachment: A case study of Guangzhou city","volume":"40","author":"Wu","year":"2021","journal-title":"Prog. Geogr."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejim.2018.06.021","article-title":"Mitigation of Air Pollution by Greenness: A Narrative Review","volume":"55","author":"Franchini","year":"2018","journal-title":"Eur. J. Intern. Med."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"125","DOI":"10.3390\/environments2020125","article-title":"Analysis of Urban Heat Island (UHI) in Relation to Normalized Difference Vegetation Index (NDVI): A Comparative Study of Delhi and Mumbai","volume":"2","author":"Grover","year":"2015","journal-title":"Environments"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1139\/apnm-2021-0438","article-title":"Leisure Sedentary Time and Physical Activity Are Higher in Neighbourhoods with Denser Greenness and Better Built Environments: An Analysis of the Canadian Longitudinal Study on Aging","volume":"47","author":"Klicnik","year":"2022","journal-title":"Appl. Physiol. Nutr. Metab."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.isprsjprs.2022.01.002","article-title":"Quantifying the Shape of Urban Street Trees and Evaluating Its Influence on Their Aesthetic Functions Based on Mobile Lidar Data","volume":"184","author":"Hu","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.cosust.2012.12.002","article-title":"Linking Ecosystem Processes and Ecosystem Services","volume":"5","author":"Fu","year":"2013","journal-title":"Curr. Opin. Environ. Sustain."},{"key":"ref_51","unstructured":"(2022, July 18). Cos\u2019\u00e9 BDTRE\u2014Geoportale Piemonte. Available online: https:\/\/www.geoportale.piemonte.it\/cms\/bdtre\/bdtre-2."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Jin, H., and Eklundh, L. (2022, August 19). A Physically Based Vegetation Index for Improved Monitoring of Plant Phenology\u2014European Environment Agency. Available online: https:\/\/www.eea.europa.eu\/data-and-maps\/indicators\/land-productivity-dynamics\/jin-h-eklundh-l-2014.","DOI":"10.1016\/j.rse.2014.07.010"},{"key":"ref_53","unstructured":"(2022, July 16). High Resolution Vegetation Phenology and Productivity\u2014Copernicus Land Monitoring Service. Available online: https:\/\/land.copernicus.eu\/pan-european\/biophysical-parameters\/high-resolution-vegetation-phenology-and-productivity."},{"key":"ref_54","unstructured":"(2022, May 13). Copernicus Land Monitoring Service High Resolution Vegetation Phenology and ProductivitY (HRVPP), Seasonal Trajectories, Vegetation Phenology and Productivity Parameters 2021. Available online: https:\/\/inergency.com\/copernicus-land-monitoring-service-high-resolution-vegetation-phenology-and-productivity\/."},{"key":"ref_55","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."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/18\/4517\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:28:39Z","timestamp":1760142519000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/18\/4517"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,9]]},"references-count":55,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["rs14184517"],"URL":"https:\/\/doi.org\/10.3390\/rs14184517","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,9]]}}}