{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T01:54:15Z","timestamp":1773885255673,"version":"3.50.1"},"reference-count":71,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Conselleira de Educaci\u00f3n, Universidade e Formaci\u00f3n Profesional, Xunta de Galicia, Espa\u00f1a","award":["R815 131H 64502"],"award-info":[{"award-number":["R815 131H 64502"]}]},{"name":"Universidade de Vigo\/CISUG"},{"name":"Axudas Predoutorais para a formaci\u00f3n de Doutores 2019","award":["00VI 131H 6410211"],"award-info":[{"award-number":["00VI 131H 6410211"]}]},{"DOI":"10.13039\/501100006761","name":"Universidade de Vigo","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100006761","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Environ Monit Assess"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Riverine habitats are essential ecotones that bridge aquatic and terrestrial ecosystems, providing multiple ecosystem services. This study analyses the potential use of high-resolution satellite imagery, provided by the WorldView-2 satellite, in order to assess its viability for monitoring riparian ecosystems. It is performed by calculating the riparian strip quality index (RSQI) and calibrating it with the riparian quality index (QBR). The methodology was implemented in the Umia River, which is characterised by elevated anthropogenic pressures (located in the northwest of Spain). The results obtained by the method have a 92% of veracity and a kappa coefficient of 0.88. The average quality value obtained for the RSQI index was 71.57, while the average value for the QBR was 55.88. This difference could be attributed to the fact that the former does not differ between autochthonous and non-autochthonous vegetation. The areas with more accurate mapping corresponded to stretches of vegetation with optimal cover (80\u201350%), with good connectivity with the adjacent forest ecosystem and few or no presence of invasive plants. The worst-scoring sites had the next characteristics: low connectivity (&lt;\u200910%), low forest cover (&lt;\u200910%) and a higher presence of invasive plants. The degradation of vegetation could be explained by the presence of agriculture and deficient land use rationing caused by the type of ownership of the study area. The application of this index through satellite images will facilitate the environmental governance of multiple ecosystems and in special riparian ecosystems, obtaining a quick and objective methodology, easily replicable in other basins.<\/jats:p>\n                <jats:p><jats:bold>Graphical Abstract<\/jats:bold><\/jats:p>","DOI":"10.1007\/s10661-022-10667-8","type":"journal-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T08:10:54Z","timestamp":1667808654000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Assessment of high spatial resolution satellite imagery for monitoring riparian vegetation: riverine management in the smallholding"],"prefix":"10.1007","volume":"195","author":[{"given":"Paula","family":"Rivas-Fandi\u00f1o","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4632-8290","authenticated-orcid":false,"given":"Carolina","family":"Acu\u00f1a-Alonso","sequence":"additional","affiliation":[]},{"given":"Ana","family":"Novo","sequence":"additional","affiliation":[]},{"given":"Fernando Ant\u00f3nio Leal","family":"Pacheco","sequence":"additional","affiliation":[]},{"given":"Xana","family":"\u00c1lvarez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"key":"10667_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2021.152155","volume":"809","author":"C Acu\u00f1a-Alonso","year":"2022","unstructured":"Acu\u00f1a-Alonso, C., \u00c1lvarez, X., Valero, E., & Pacheco, F. A. L. (2022). Modelling of threats that affect cyano-HABs in an eutrophicated reservoir: First phase towards water security and environmental governance in watersheds. Science of the Total Environment, 809, 152155.","journal-title":"Science of the Total Environment"},{"key":"10667_CR2","doi-asserted-by":"publisher","unstructured":"Acu\u00f1a-Alonso, C., Fernandes, A. C. P., \u00c1lvarez, X., Valero, E., Pacheco, F. A. L., Varandas, S. D. G. P., Ter\u00eancio, D. P. S., & Fernandes, L. F. S. (2021). Water security and watershed management assessed through the modelling of hydrology and ecological integrity: A study in the Galicia-Costa (NW Spain). Science of The Total Environment, 759, 143905. https:\/\/doi.org\/10.1016\/j.scitotenv.2020.143905","DOI":"10.1016\/j.scitotenv.2020.143905"},{"key":"10667_CR3","doi-asserted-by":"publisher","unstructured":"Adam, E., Mureriwa, N., & Newete, S. (2017). Mapping Prosopis glandulosa (mesquite) in the semi-arid environment of South Africa using high-resolution WorldView-2 imagery and machine learning classifiers. Journal of Arid Environments, 145, 43\u201351. https:\/\/doi.org\/10.1016\/j.jaridenv.2017.05.001","DOI":"10.1016\/j.jaridenv.2017.05.001"},{"key":"10667_CR4","doi-asserted-by":"crossref","unstructured":"Aguilar, M. A., Aguilar, F. J., Lorca, A. G., Guirado, E., Betlej, M., Cich\u00f3n, P., Nemmaoui, A., Vallario, A., & Parente, C. (2016). Assessment of multiresolution segmentation for extracting greenhouses from WorldView-2 imagery. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 41.","DOI":"10.5194\/isprsarchives-XLI-B7-145-2016"},{"key":"10667_CR5","unstructured":"Aikas, K., Valero, A. F. A., & Tierra, A. E. S. (2019). Natural based solutions (NbS) associated to riparian vegetation in urban environment. Actas Del X International Greencities Congress 2019: 10\u00b0 Foro de Inteligencia y Sostenibilidad Urbana, 66\u201385."},{"issue":"2","key":"10667_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.9790\/0990-0120110","volume":"1","author":"J Al-Doski","year":"2013","unstructured":"Al-Doski, J., Mansor, S. B., & Shafri, H. Z. M. (2013). NDVI differencing and post-classification to detect vegetation changes in Halabja City, Iraq. IOSR Journal of Applied Geology and Geophysics, 1(2), 1\u201310.","journal-title":"IOSR Journal of Applied Geology and Geophysics"},{"key":"10667_CR7","doi-asserted-by":"publisher","unstructured":"\u00c1lvarez, X, Valero, E., Santos, R. M. B., Varandas, S. G. P., Sanches Fernandes, L. F., & Pacheco, F. A. L. (2017). Anthropogenic nutrients and eutrophication in multiple land use watersheds: Best management practices and policies for the protection of water resources. Land Use Policy, 69, 1\u201311. https:\/\/doi.org\/10.1016\/j.landusepol.2017.08.028","DOI":"10.1016\/j.landusepol.2017.08.028"},{"issue":"4","key":"10667_CR8","doi-asserted-by":"publisher","first-page":"83","DOI":"10.14207\/ejsd.2014.v3n4p83","volume":"3","author":"X \u00c1lvarez","year":"2014","unstructured":"\u00c1lvarez, X., Valero, E., & Picos, J. (2014). Evolution of eutrophication depending on environmental conditions: A case study in a reservoir. European Journal of Sustainable Development, 3(4), 83.","journal-title":"European Journal of Sustainable Development"},{"issue":"2","key":"10667_CR9","doi-asserted-by":"publisher","first-page":"97","DOI":"10.14512\/gaia.10.2.5","volume":"10","author":"J Barkmann","year":"2001","unstructured":"Barkmann, J., Baumann, R., Meyer, U., M\u00fcller, F., & Windhorst, W. (2001). \u00d6kologische Integrit\u00e4t: Risikovorsorge im nachhaltigen Landschaftsmanagement. GAIA-Ecological Perspectives for Science and Society, 10(2), 97\u2013108.","journal-title":"GAIA-Ecological Perspectives for Science and Society"},{"key":"10667_CR10","volume-title":"Modelo conceptual de la eutrofizaci\u00f3n y proliferaci\u00f3n de cianobacterias","author":"X\u00c1 Berm\u00fadez","year":"2015","unstructured":"Berm\u00fadez, X. \u00c1., del Olmo, E. V. G., Carral, \u00c1. C., & Mart\u00edn, J. P. (2015). Modelo conceptual de la eutrofizaci\u00f3n y proliferaci\u00f3n de cianobacterias. Universidade de Vigo."},{"issue":"1","key":"10667_CR11","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.isprsjprs.2009.06.004","volume":"65","author":"T Blaschke","year":"2010","unstructured":"Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2\u201316.","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"issue":"10","key":"10667_CR12","doi-asserted-by":"publisher","first-page":"580","DOI":"10.3390\/ijgi9100580","volume":"9","author":"MA Brovelli","year":"2020","unstructured":"Brovelli, M. A., Sun, Y., & Yordanov, V. (2020). Monitoring forest change in the amazon using multi-temporal remote sensing data and machine learning classification on Google Earth Engine. ISPRS International Journal of Geo-Information, 9(10), 580.","journal-title":"ISPRS International Journal of Geo-Information"},{"key":"10667_CR13","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1016\/j.ecolind.2014.04.051","volume":"45","author":"D Bruno","year":"2014","unstructured":"Bruno, D., Belmar, O., S\u00e1nchez-Fern\u00e1ndez, D., Guareschi, S., Mill\u00e1n, A., & Velasco, J. (2014). Responses of Mediterranean aquatic and riparian communities to human pressures at different spatial scales. Ecological Indicators, 45, 456\u2013464.","journal-title":"Ecological Indicators"},{"key":"10667_CR14","unstructured":"Carballeira, A. (1983). Bioclimatolog\u00eda de Galicia. Fundaci\u00f3n Pedro Barri\u00e9 de la Maza, Conde de Fenosa."},{"key":"10667_CR15","doi-asserted-by":"crossref","unstructured":"Carter, L. W., & Anderson, G. L. (2020). Riparian vegetation on flood control project levees: Constraints and opportunities. In California Riparian Systems (pp. 548\u2013550). University of California Press.","DOI":"10.1525\/9780520322431-076"},{"key":"10667_CR16","doi-asserted-by":"publisher","unstructured":"Clerici, N., Paracchini, M. L., & Maes, J. (2014). Land-cover change dynamics and insights into ecosystem services in European stream riparian zones. Ecohydrology & Hydrobiology, 14(2), 107\u2013120. https:\/\/doi.org\/10.1016\/j.ecohyd.2014.01.002","DOI":"10.1016\/j.ecohyd.2014.01.002"},{"key":"10667_CR17","unstructured":"Cortizas, A. M., & Alberti, A. P. (1999). Atlas clim\u00e1tico de Galicia. Xunta de Galicia."},{"key":"10667_CR18","unstructured":"Council Directive. (1992). 92\/43\/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora."},{"key":"10667_CR19","unstructured":"Council, N. R. (2002). Riparian areas: Functions and strategies for management. National Academies Press."},{"key":"10667_CR20","unstructured":"de Galicia, X. (2008). Plan galego de ordenaci\u00f3n dos recursos pisc\u00edcolas e ecosistemas acu\u00e1ticos continentais. Xunta de Galicia p, 112."},{"key":"10667_CR21","doi-asserted-by":"publisher","unstructured":"Deng, L., Mao, Z., Li, X., Hu, Z., Duan, F., & Yan, Y. (2018). UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 124\u2013136. https:\/\/doi.org\/10.1016\/j.isprsjprs.2018.09.008","DOI":"10.1016\/j.isprsjprs.2018.09.008"},{"key":"10667_CR22","unstructured":"Directive. (2007).\u00a02007\/60\/EC of the European Parliament and of the council of 23 October 2007 on the assessment and management of flood risks."},{"key":"10667_CR23","unstructured":"Directive, W. F. (2000). Directive 2000\/60\/EC of the European Parliament and of the council of 23 October 2000 establishing a framework for Community action in the field of water policy. Official Journal of the European Communities, 22(12)."},{"key":"10667_CR24","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1016\/j.scitotenv.2018.10.383","volume":"653","author":"S Dufour","year":"2019","unstructured":"Dufour, S., Rodr\u00edguez-Gonz\u00e1lez, P. M., & Laslier, M. (2019). Tracing the scientific trajectory of riparian vegetation studies: Main topics, approaches and needs in a globally changing world. Science of the Total Environment, 653, 1168\u20131185.","journal-title":"Science of the Total Environment"},{"key":"10667_CR25","unstructured":"ESRI. (2012). ArcMap 10.1. Environmental System Research Institute."},{"key":"10667_CR26","unstructured":"European Commission. (2021). Common agricultural policy. The Common Agricultural Policy at a Glance. The Common Agricultural Policy Supports Farmers and Ensures Europe\u2019s Food Security."},{"key":"10667_CR27","doi-asserted-by":"crossref","unstructured":"Farooqi, T. J. A., Li, X., Yu, Z., Liu, S., & Sun, O. J. (2020). Reconciliation of research on forest carbon sequestration and water conservation. Journal of Forestry Research, 1\u20138.","DOI":"10.1007\/s11676-020-01138-2"},{"key":"10667_CR28","doi-asserted-by":"publisher","unstructured":"Fernandes, M. R., Aguiar, F. C., Silva, J. M. N., Ferreira, M. T., & Pereira, J. M. C. (2014). Optimal attributes for the object based detection of giant reed in riparian habitats: A comparative study between Airborne High Spatial Resolution and WorldView-2 imagery. International Journal of Applied Earth Observation and Geoinformation, 32, 79\u201391. https:\/\/doi.org\/10.1016\/j.jag.2014.03.026","DOI":"10.1016\/j.jag.2014.03.026"},{"issue":"10","key":"10667_CR29","doi-asserted-by":"publisher","first-page":"733","DOI":"10.2307\/1308780","volume":"31","author":"RTT Forman","year":"1981","unstructured":"Forman, R. T. T., & Godron, M. (1981). Patches and structural components for a landscape ecology. BioScience, 31(10), 733\u2013740.","journal-title":"BioScience"},{"key":"10667_CR30","doi-asserted-by":"publisher","unstructured":"Furuya, D. E., Aguiar, J. A., Estrabis, N. V, Pinheiro, M. M., Furuya, M. T., Pereira, D. R., Gon\u00e7alves, W. N., Liesenberg, V., Li, J., Marcato Junior, J., Prado Osco, L., & Ramos, A. P. (2020). A machine learning approach for mapping forest vegetation in riparian zones in an Atlantic Biome Environment using Sentinel-2 imagery.\u00a0Remote Sensing,\u00a012(24). https:\/\/doi.org\/10.3390\/rs12244086","DOI":"10.3390\/rs12244086"},{"key":"10667_CR31","doi-asserted-by":"crossref","unstructured":"Gitelson, A., & Merzlyak, M. N. (1994). Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. Journal of Plant Physiology, 143(3), 286\u2013292.","DOI":"10.1016\/S0176-1617(11)81633-0"},{"key":"10667_CR32","unstructured":"Gobierno de Espa\u00f1a. (2016). SIOSE. Sistema de Informaci\u00f3n de Ocupaci\u00f3n del Suelo de Espa\u00f1a. Ministerio de Transportes, Movilidad y Agencia Urbana.\u00a0https:\/\/www.siose.es\/"},{"key":"10667_CR33","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1016\/j.scitotenv.2014.12.047","volume":"512","author":"C Henriques","year":"2015","unstructured":"Henriques, C., Garnett, K., Weatherhead, E. K., Lickorish, F. A., Forrow, D., & Delgado, J. (2015). The future water environment\u2014Using scenarios to explore the significant water management challenges in England and Wales to 2050. Science of the Total Environment, 512, 381\u2013396.","journal-title":"Science of the Total Environment"},{"key":"10667_CR34","doi-asserted-by":"publisher","unstructured":"Hill, M. J. (2013). Vegetation index suites as indicators of vegetation state in grassland and savanna: An analysis with simulated SENTINEL 2 data for a North American transect. Remote Sensing of Environment, 137, 94\u2013111. https:\/\/doi.org\/10.1016\/j.rse.2013.06.004","DOI":"10.1016\/j.rse.2013.06.004"},{"key":"10667_CR35","unstructured":"Hilty, J. A., Lidicker Jr, W. Z., & Merenlender, A. M. (2012). Corridor ecology: the science and practice of linking landscapes for biodiversity conservation. Island press."},{"key":"10667_CR36","unstructured":"Hunter, H., Fellows, C., Rassam, D., DeHayr, R., Pagendam, D., Conway, C., Bloesch, P., & Beard, N. (2006). Managing riparian lands to improve water quality: Optimising nitrate removal via denitrification. Indooroopilly, Qld., Australia, Cooperative Research Centre for Coastal Zone, Estuary and Waterway Management (Coastal CRC)."},{"key":"10667_CR37","unstructured":"Instituto Galego de Estat\u00edstica (IGE). (2015). Datos poboacionais por concellos. http:\/\/www.Ige.Eu\/"},{"key":"10667_CR38","unstructured":"Instituto Galego de Estat\u00edstica (IGE). (2020). Instituto Gallego de Estad\u00edstica. Poboaci\u00f3n."},{"issue":"1","key":"10667_CR39","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.rse.2007.02.014","volume":"110","author":"K Johansen","year":"2007","unstructured":"Johansen, K., Coops, N. C., Gergel, S. E., & Stange, Y. (2007a). Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification. Remote Sensing of Environment, 110(1), 29\u201344.","journal-title":"Remote Sensing of Environment"},{"issue":"1\u20133","key":"10667_CR40","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.foreco.2006.12.015","volume":"240","author":"K Johansen","year":"2007","unstructured":"Johansen, K., Phinn, S., Dixon, I., Douglas, M., & Lowry, J. (2007b). Comparison of image and rapid field assessments of riparian zone condition in Australian tropical savannas. Forest Ecology and Management, 240(1\u20133), 42\u201360.","journal-title":"Forest Ecology and Management"},{"key":"10667_CR41","volume-title":"Assessment of structural components of riparian forest vegetation of the Prespa Basin with the means of the QBR index","author":"Y Kazoglou","year":"2010","unstructured":"Kazoglou, Y., Fotiadis, G., Koutseri, I., & Vrahnakis, M. (2010). Assessment of structural components of riparian forest vegetation of the Prespa Basin with the means of the QBR index. Ohrid, Republic of Macedonia."},{"key":"10667_CR42","doi-asserted-by":"publisher","unstructured":"Krtali\u0107, A., Linardi\u0107, D., & Pernar, R. (2021). Framework for spatial and temporal monitoring of urban forest and vegetation conditions: Case study Zagreb, Croatia.\u00a0Sustainability, 13(11).\u00a0https:\/\/doi.org\/10.3390\/su13116055","DOI":"10.3390\/su13116055"},{"issue":"1","key":"10667_CR43","first-page":"1","volume":"20","author":"N Kumar","year":"2015","unstructured":"Kumar, N., Yama\u00e7, S. S., & Velmurugan, A. (2015). Applications of remote sensing and GIS in natural resource management. Journal of the Andaman Science Association, 20(1), 1\u20136.","journal-title":"Journal of the Andaman Science Association"},{"key":"10667_CR44","doi-asserted-by":"publisher","unstructured":"Li, J., & Roy, D. P. (2017). A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring.\u00a0Remote Sensing, 9(9).\u00a0https:\/\/doi.org\/10.3390\/rs9090902","DOI":"10.3390\/rs9090902"},{"key":"10667_CR45","unstructured":"MDDEFP. (2008). Indice de qualit\u00e9 de la bande riveraine (IQBR). Minist\u00e8re de D\u00e9veloppement Durable, Environnement, Faune et Parcs, Qu\u00e9bec. http:\/\/www.Mddep.Gouv.Qc.ca\/Eau\/Eco_aqua\/IQBR\/Index.Htm"},{"key":"10667_CR46","unstructured":"Ministerio de Obras P\u00fablicas y Urbanismo. (1986). Real Decreto 849\/1986, de 11 de abril, por el que se aprueba el Reglamento del Dominio P\u00fablico Hidr\u00e1ulico, que desarrolla los t\u00edtulos preliminar I, IV, V, VI y VII de la Ley 29\/1985, de 2 de agosto, de Aguas.\u00a0https:\/\/www.boe.es\/buscar\/act.php?id=BOE-A-1986-10"},{"key":"10667_CR47","unstructured":"Munn\u00e9, A., Sol\u00e1, C., & Prat, N. (1998). QBR: An index to evaluate the quality of riparian ecosystems; QBR: Un indice rapido para la evaluacion de la calidad de los ecosistemas de ribera. Tecnolog\u00eda Del Agua, 175."},{"key":"10667_CR48","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1016\/j.jag.2012.03.012","volume":"18","author":"O Mutanga","year":"2012","unstructured":"Mutanga, O., Adam, E., & Cho, M. A. (2012). High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm. International Journal of Applied Earth Observation and Geoinformation, 18, 399\u2013406.","journal-title":"International Journal of Applied Earth Observation and Geoinformation"},{"key":"10667_CR49","volume-title":"Riparia: Ecology, conservation, and management of streamside communities","author":"RJ Naiman","year":"2010","unstructured":"Naiman, R. J., Decamps, H., & McClain, M. E. (2010). Riparia: Ecology, conservation, and management of streamside communities. Elsevier."},{"key":"10667_CR50","doi-asserted-by":"publisher","unstructured":"Nouri, H., Beecham, S., Anderson, S., & Nagler, P. (2014). High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors.\u00a0Remote Sensing, 6(1).\u00a0https:\/\/doi.org\/10.3390\/rs6010580","DOI":"10.3390\/rs6010580"},{"issue":"10","key":"10667_CR51","doi-asserted-by":"publisher","first-page":"3604","DOI":"10.1016\/j.jas.2013.04.013","volume":"40","author":"M Noviello","year":"2013","unstructured":"Noviello, M., Ciminale, M., & De Pasquale, V. (2013). Combined application of pansharpening and enhancement methods to improve archaeological cropmark visibility and identification in QuickBird imagery: Two case studies from Apulia, Southern Italy. Journal of Archaeological Science, 40(10), 3604\u20133613.","journal-title":"Journal of Archaeological Science"},{"key":"10667_CR52","doi-asserted-by":"publisher","unstructured":"Novoa, J., Chokmani, K., & Lhissou, R. (2018). A novel index for assessment of riparian strip efficiency in agricultural landscapes using high spatial resolution satellite imagery. Science of The Total Environment, 644, 1439\u20131451. https:\/\/doi.org\/10.1016\/j.scitotenv.2018.07.069","DOI":"10.1016\/j.scitotenv.2018.07.069"},{"key":"10667_CR53","doi-asserted-by":"publisher","unstructured":"Pace, G., Guti\u00e9rrez-C\u00e1novas, C., Henriques, R., Boeing, F., C\u00e1ssio, F., & Pascoal, C. (2021). Remote sensing depicts riparian vegetation responses to water stress in a humid Atlantic region. Science of The Total Environment, 772, 145526. https:\/\/doi.org\/10.1016\/j.scitotenv.2021.145526","DOI":"10.1016\/j.scitotenv.2021.145526"},{"key":"10667_CR54","unstructured":"Price, P., & Lovett, S. (1999). Riparian land management technical guidelines Vol 1: a. Principles of sound management b. Review of legislation."},{"issue":"1","key":"10667_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1071\/MF02041","volume":"54","author":"BJ Pusey","year":"2003","unstructured":"Pusey, B. J., & Arthington, A. H. (2003). Importance of the riparian zone to the conservation and management of freshwater fish: A review. Marine and Freshwater Research, 54(1), 1\u201316.","journal-title":"Marine and Freshwater Research"},{"issue":"9","key":"10667_CR56","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1093\/biosci\/bix078","volume":"67","author":"TL Ramey","year":"2017","unstructured":"Ramey, T. L., & Richardson, J. S. (2017). Terrestrial invertebrates in the riparian zone: Mechanisms underlying their unique diversity. BioScience, 67(9), 808\u2013819.","journal-title":"BioScience"},{"key":"10667_CR57","unstructured":"Rivas-Mart\u00ednez, S. (1987). Mapa de las series de vegetaci\u00f3n de Espa\u00f1a: La Coru\u00f1a; H. 2: Oviedo; H. 3: Bilbao; H. 4: Pamplona; H. 5: Arti\u00e9s; H. 6: Orense; H. 7: Valladolid; H. 8: Burgos; H. 9: Zaragoza; H. 10: Barcelona; H. 12: Salamanca; H. 13: Madrid; H. 14: Teruel; H. 15: Tarrago. Ministerio de Agricultura, Pesca y Alimentaci\u00f3n, Instituto Nacional para la\u00a0\u2026."},{"key":"10667_CR58","unstructured":"RStudio: Integrated development for R. (2020). RStudio Team (p. RStudio, PBC, Boston, MA)."},{"issue":"4","key":"10667_CR59","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1890\/06-0901","volume":"17","author":"JJ Rykken","year":"2007","unstructured":"Rykken, J. J., Moldenke, A. R., & Olson, D. H. (2007). Headwater riparian forest-floor invertebrate communities associated with alternative forest management practices. Ecological Applications, 17(4), 1168\u20131183.","journal-title":"Ecological Applications"},{"key":"10667_CR60","doi-asserted-by":"publisher","unstructured":"Saha, D., Das, D., Dasgupta, R., & Patel, P. P. (2020). Application of ecological and aesthetic parameters for riparian quality assessment of a small tropical river in eastern India. Ecological Indicators, 117, 106627. https:\/\/doi.org\/10.1016\/j.ecolind.2020.106627","DOI":"10.1016\/j.ecolind.2020.106627"},{"key":"10667_CR61","unstructured":"Saint-Jacques, N., & Richard, Y. (1998). D\u00e9veloppement d\u2019un indice de qualit\u00e9 de la bande riveraine: application \u00e0 la rivi\u00e8re Chaudi\u00e8re et mise en relation avec l\u2019int\u00e9grit\u00e9 biotique du milieu aquatique. Le Bassin de La Rivi\u00e8re Chaudi\u00e8re: L\u2019\u00e9tat de L\u2019\u00e9cosyst\u00e8me Aquatique\u20141996."},{"issue":"3","key":"10667_CR62","doi-asserted-by":"publisher","first-page":"343","DOI":"10.5380\/rf.v48i3.54165","volume":"48","author":"RA Silva","year":"2018","unstructured":"Silva, R. A., Pereira, J. A. A., Bueno, I. T., Borges, L. A. C., & J\u00fanior, F. W. A. (2018). The landscape of Ouro Preto (MG, Brazil) through analysis of anthropic activities in relation to the environmental conservation. Floresta, 48(3), 343\u2013354.","journal-title":"Floresta"},{"key":"10667_CR63","doi-asserted-by":"publisher","unstructured":"Sirombra, M. G., & Mesa, L. M. (2012). A method for assessing the ecological quality of riparian forests in subtropical Andean streams: QBRy index. Ecological Indicators, 20, 324\u2013331. https:\/\/doi.org\/10.1016\/j.ecolind.2012.02.021","DOI":"10.1016\/j.ecolind.2012.02.021"},{"issue":"7","key":"10667_CR64","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1002\/rra.3479","volume":"35","author":"C Tomsett","year":"2019","unstructured":"Tomsett, C., & Leyland, J. (2019). Remote sensing of river corridors: A review of current trends and future directions. River Research and Applications, 35(7), 779\u2013803.","journal-title":"River Research and Applications"},{"key":"10667_CR65","doi-asserted-by":"publisher","unstructured":"Topp, S. N., Pavelsky, T. M., Jensen, D., Simard, M., & Ross, M. R. V. (2020). Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications.\u00a0Water,\u00a012(1). https:\/\/doi.org\/10.3390\/w12010169","DOI":"10.3390\/w12010169"},{"key":"10667_CR66","doi-asserted-by":"publisher","unstructured":"Valero, E., \u00c1lvarez, X., & Picos, J. (2015). An assessment of river habitat quality as an indicator of conservation status. A case study in the Northwest of Spain. Ecological Indicators, 57, 131\u2013138. https:\/\/doi.org\/10.1016\/j.ecolind.2015.04.032","DOI":"10.1016\/j.ecolind.2015.04.032"},{"key":"10667_CR67","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.ecoleng.2014.03.084","volume":"67","author":"E Valero","year":"2014","unstructured":"Valero, E., Picos, J., & \u00c1lvarez, X. (2014). Characterization of riparian forest quality of the Umia River for a proposed restoration. Ecological Engineering, 67, 216\u2013222.","journal-title":"Ecological Engineering"},{"issue":"2","key":"10667_CR68","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.landurbplan.2004.11.015","volume":"74","author":"MD White","year":"2006","unstructured":"White, M. D., & Greer, K. A. (2006). The effects of watershed urbanization on the stream hydrology and riparian vegetation of Los Penasquitos Creek California. Landscape and Urban Planning, 74(2), 125\u2013138.","journal-title":"Landscape and Urban Planning"},{"issue":"14","key":"10667_CR69","doi-asserted-by":"publisher","first-page":"2753","DOI":"10.1002\/hyp.1432","volume":"17","author":"M Zalewski","year":"2003","unstructured":"Zalewski, M., Santiago-Fandino, V., & Neate, J. (2003). Energy, water, plant interactions:\u2018Green feedback\u2019as a mechanism for environmental management and control through the application of phytotechnology and ecohydrology. Hydrological Processes, 17(14), 2753\u20132767.","journal-title":"Hydrological Processes"},{"issue":"4","key":"10667_CR70","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1111\/avsc.12508","volume":"23","author":"I Zerme\u00f1o-Hern\u00e1ndez","year":"2020","unstructured":"Zerme\u00f1o-Hern\u00e1ndez, I., Ben\u00edtez-Malvido, J., Suazo-Ortu\u00f1o, I., & M\u00e9ndez-Toribio, M. (2020). Impact of adjacent land use on the ecological condition of riparian habitats: The relation between condition and vegetation properties. Applied Vegetation Science, 23(4), 610\u2013621.","journal-title":"Applied Vegetation Science"},{"issue":"4","key":"10667_CR71","first-page":"587","volume":"34","author":"Y Zhang","year":"2002","unstructured":"Zhang, Y. (2002). Problems in the fusion of commercial high-resolution satelitte as well as Landsat 7 images and initial solutions. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 34(4), 587\u2013592.","journal-title":"International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences"}],"container-title":["Environmental Monitoring and Assessment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10661-022-10667-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10661-022-10667-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10661-022-10667-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T09:03:48Z","timestamp":1674810228000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10661-022-10667-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,7]]},"references-count":71,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["10667"],"URL":"https:\/\/doi.org\/10.1007\/s10661-022-10667-8","relation":{},"ISSN":["0167-6369","1573-2959"],"issn-type":[{"value":"0167-6369","type":"print"},{"value":"1573-2959","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,7]]},"assertion":[{"value":"16 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"81"}}