{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:51:47Z","timestamp":1761648707481,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2019,10,15]],"date-time":"2019-10-15T00:00:00Z","timestamp":1571097600000},"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>Urban forests and green infrastructures at large are of critical importance for contemporary cities as they provide a wide range of ecosystem services (ESS) that enhance the quality of life of urban dwellers. Remote sensing technologies have greatly contributed to assessing and mapping the spatial distribution of ESS in urban areas, although more research is needed given the availability of new sensors from multiple satellites and platforms and the particular characteristics of urban environments (e.g., high heterogeneity). This Special Issue hosts papers focusing on the temporal and spatial dynamics of urban forests with special attention given to the most recent remote sensing technologies as well as advanced methods for processing geospatial data and extracting meaningful information.<\/jats:p>","DOI":"10.3390\/rs11202383","type":"journal-article","created":{"date-parts":[[2019,10,16]],"date-time":"2019-10-16T03:32:54Z","timestamp":1571196774000},"page":"2383","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Remote Sensing of Urban Forests"],"prefix":"10.3390","volume":"11","author":[{"given":"Giovanni","family":"Sanesi","sequence":"first","affiliation":[{"name":"Department of Agricultural and Environmental Sciences, University of Bari \u201cAldo Moro\u201d, Via Amendola 165\/A, 70126 Bari, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9907-3730","authenticated-orcid":false,"given":"Vincenzo","family":"Giannico","sequence":"additional","affiliation":[{"name":"Department of Agricultural and Environmental Sciences, University of Bari \u201cAldo Moro\u201d, Via Amendola 165\/A, 70126 Bari, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4382-2752","authenticated-orcid":false,"given":"Mario","family":"Elia","sequence":"additional","affiliation":[{"name":"Department of Agricultural and Environmental Sciences, University of Bari \u201cAldo Moro\u201d, Via Amendola 165\/A, 70126 Bari, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4642-8435","authenticated-orcid":false,"given":"Raffaele","family":"Lafortezza","sequence":"additional","affiliation":[{"name":"Department of Agricultural and Environmental Sciences, University of Bari \u201cAldo Moro\u201d, Via Amendola 165\/A, 70126 Bari, Italy"},{"name":"Department of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nilsson, K., Sangster, M., Gallis, C., Hartig, T., de Vries, S., Seeland, K., and Schipperijn, J. (2011). Urban Forests and Their Ecosystem Services in Relation to Human Health. Forests, Trees and Human Health, Springer.","DOI":"10.1007\/978-90-481-9806-1"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.ufug.2013.04.001","article-title":"The effect of street trees and amenity grass on urban surface water runoff in Manchester, UK","volume":"12","author":"Armson","year":"2013","journal-title":"Urban For. Urban Green."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1177\/0309133312461032","article-title":"Watering our cities: The capacity for Water Sensitive Urban Design to support urban cooling and improve human thermal comfort in the Australian context","volume":"37","author":"Coutts","year":"2013","journal-title":"Prog. Phys. Geogr. 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Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.ecolind.2017.05.014","article-title":"Combining high-resolution images and LiDAR data to model ecosystem services perception in compact urban systems","volume":"96","author":"Lafortezza","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Giannico, V., Lafortezza, R., John, R., Sanesi, G., Pesola, L., and Chen, J. (2016). Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR. Remote Sens., 8.","DOI":"10.3390\/rs8040339"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Choi, H., Song, Y., and Jang, Y. (2019). Urban Forest Growth and Gap Dynamics Detected by Yearly Repeated Airborne Light Detection and Ranging (LiDAR): A Case Study of Cheonan, South Korea. Remote Sens., 11.","DOI":"10.3390\/rs11131551"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Deng, J., Huang, Y., Chen, B., Tong, C., Liu, P., Wang, H., and Hong, Y. (2019). A Methodology to Monitor Urban Expansion and Green Space Change Using a Time Series of Multi-Sensor SPOT and Sentinel-2A Images. Remote Sens., 11.","DOI":"10.3390\/rs11101230"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Stubbings, P., Peskett, J., Rowe, F., and Arribas-Bel, D. (2019). A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning. Remote Sens., 11.","DOI":"10.3390\/rs11121395"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhang, R., Chen, J., Park, H., Zhou, X., Yang, X., Fan, P., Shao, C., and Ouyang, Z. (2019). Spatial Accessibility of Urban Forests in the Pearl River Delta (PRD), China. Remote Sens., 11.","DOI":"10.3390\/rs11060667"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Lin, Y., and Jiang, M. (2018). A New Algorithm for MLS-Based DBH Mensuration and Its Preliminary Validation in an Urban Boreal Forest: Aiming at One Cornerstone of Allometry-Based Forest Biometrics. Remote Sens., 10.","DOI":"10.3390\/rs10050749"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Li, X., Chen, W.Y., Sanesi, G., and Lafortezza, R. (2019). Remote Sensing in Urban Forestry: Recent Applications and Future Directions. Remote Sens., 11.","DOI":"10.3390\/rs11101144"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1126\/science.1244693","article-title":"High-Resolution Global Maps of 21st-Century Forest Cover Change","volume":"342","author":"Hansen","year":"2013","journal-title":"Science"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s00477-018-1558-5","article-title":"Modeling fire ignition patterns in Mediterranean urban interfaces","volume":"33","author":"Elia","year":"2019","journal-title":"Stoch. Environ. Res. 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Forests, 9.","DOI":"10.3390\/f9080458"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2383\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:26:18Z","timestamp":1760189178000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2383"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,15]]},"references-count":21,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["rs11202383"],"URL":"https:\/\/doi.org\/10.3390\/rs11202383","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,10,15]]}}}