{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T08:50:16Z","timestamp":1777971016364,"version":"3.51.4"},"reference-count":65,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"VIS (Volontariato Internazionale per lo Sviluppo) and CESVI Onlus within \u201cGREEN coAL-ITion: Eco-sustainable Development for Albanian mountain-countryside natural capital\u201d project","award":["Lot1: CIG 81366342CA"],"award-info":[{"award-number":["Lot1: CIG 81366342CA"]}]},{"name":"VIS (Volontariato Internazionale per lo Sviluppo) and CESVI Onlus within \u201cGREEN coAL-ITion: Eco-sustainable Development for Albanian mountain-countryside natural capital\u201d project","award":["L232\/2016"],"award-info":[{"award-number":["L232\/2016"]}]},{"name":"Italian Ministry of Universities and Research (MUR)","award":["Lot1: CIG 81366342CA"],"award-info":[{"award-number":["Lot1: CIG 81366342CA"]}]},{"name":"Italian Ministry of Universities and Research (MUR)","award":["L232\/2016"],"award-info":[{"award-number":["L232\/2016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The increasing availability and quality of remote sensing data are changing the methods used in fluvial geomorphology applications, allowing the observation of hydro-morpho-biodynamics processes and their spatial and temporal variations at broader and more refined scales. With the advent of cloud-based computing, it is nowadays possible to reduce data processing time and increase code sharing, facilitating the development of reproducible analyses at regional and global scales. The consolidation of Earth Observation mission data into a single repository such as Google Earth Engine (GEE) offers the opportunity to standardize various methods found in literature, in particular those related to the identification of key geomorphological parameters. This work investigates different computational techniques and timeframes (e.g., seasonal, annual) for the automatic detection of the active river channel and its multi-temporal aggregation, proposing a rational integration of remote sensing tools into river monitoring and management. In particular, we propose a quantitative analysis of different approaches to obtain a synthetic representative image of river corridors, where each pixel is computed as a percentile of the bands (or a combination of bands) of all available images in a given time span. Synthetic images have the advantage of limiting the variability of individual images, thus providing more robust results in terms of the classification of the main components of the riverine ecosystem (sediments, water, and riparian vegetation). We apply the analysis to a set of rivers with analogous bioclimatic conditions and different levels of anthropic pressure, using a combination of Landsat and Sentinel-2 data. The results show that synthetic images derived from multispectral indexes (such as NDVI and MDWI) are more accurate than synthetic images derived from single bands. In addition, different temporal reduction statistics affect the detection of the active channel, and we suggest using the 90th percentile instead of the median to improve the detection of vegetated areas. Individual representative images are then aggregated into multitemporal maps to define a systematic and easily replicable approach for extracting active river corridors and their inherent spatial and temporal dynamics. Finally, the proposed procedure has the potential to be easily implemented and automated as a tool to provide relevant data to river managers.<\/jats:p>","DOI":"10.3390\/rs16010184","type":"journal-article","created":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T13:02:58Z","timestamp":1704114178000},"page":"184","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Characterization of Active Riverbed Spatiotemporal Dynamics through the Definition of a Framework for Remote Sensing Procedures"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4442-3761","authenticated-orcid":false,"given":"Marta","family":"Crivellaro","sequence":"first","affiliation":[{"name":"Center Agriculture Food Environment, University of Trento, 38098 San Michele all\u2019Adige, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8267-5973","authenticated-orcid":false,"given":"Alfonso","family":"Vitti","sequence":"additional","affiliation":[{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2807-7387","authenticated-orcid":false,"given":"Guido","family":"Zolezzi","sequence":"additional","affiliation":[{"name":"Center Agriculture Food Environment, University of Trento, 38098 San Michele all\u2019Adige, Italy"},{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1158-2379","authenticated-orcid":false,"given":"Walter","family":"Bertoldi","sequence":"additional","affiliation":[{"name":"Center Agriculture Food Environment, University of Trento, 38098 San Michele all\u2019Adige, Italy"},{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1002\/(SICI)1099-1085(199708)11:10<1427::AID-HYP473>3.0.CO;2-S","article-title":"Satellite remote sensing of river inundation area, stage, and discharge: A review","volume":"11","author":"Smith","year":"1997","journal-title":"Hydrol. Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1126\/science.1089802","article-title":"Tracking Fresh Water from Space","volume":"301","author":"Alsdorf","year":"2003","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s00027-015-0430-7","article-title":"The use of remote sensing to characterise hydromorphological properties of European rivers","volume":"78","author":"Bizzi","year":"2016","journal-title":"Aquat. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1002\/esp.4787","article-title":"Remotely sensed rivers in the Anthropocene: State of the art and prospects","volume":"45","author":"Arnaud","year":"2020","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1177\/0309133310363992","article-title":"The trajectory of geomorphology","volume":"34","author":"Church","year":"2010","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.earscirev.2015.05.012","article-title":"Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: A review","volume":"148","author":"Passalacqua","year":"2015","journal-title":"Earth-Sci. Rev."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e21496","DOI":"10.1002\/wat2.1496","article-title":"Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change","volume":"8","author":"Boothroyd","year":"2021","journal-title":"Wiley Interdiscip. Rev. Water"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Spada, D., Molinari, P., Bertoldi, W., Vitti, A., and Zolezzi, G. (2018). Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers. ISPRS Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7080314"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"6917","DOI":"10.1038\/s41467-021-27228-1","article-title":"Recent changes to Arctic river discharge","volume":"12","author":"Feng","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_11","unstructured":"Bertoldi, W., Pi\u00e9gay, H., Buffin-B\u00e9langer, T., Graham, D., and Rice, S. (2012). Fluvial Remote Sensing for Science and Management, John Wiley & Sons, Ltd."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"57","DOI":"10.5194\/adgeo-37-57-2014","article-title":"Regional assessment of the multi-decadal changes in braided riverscapes following large floods (Example of 12 reaches in South East of France)","volume":"37","author":"Belletti","year":"2013","journal-title":"Adv. Geosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1080\/15715124.2020.1742137","article-title":"Remote sensing and GIS techniques to monitor morphological changes along the middle-lower Vistula river, Poland","volume":"19","author":"Nones","year":"2021","journal-title":"Int. J. River Basin Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"144460","DOI":"10.1016\/j.scitotenv.2020.144460","article-title":"National-scale assessment of decadal river migration at critical bridge infrastructure in the Philippines","volume":"768","author":"Boothroyd","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1002\/esp.4092","article-title":"Regional hydromorphological characterization with continuous and automated remote sensing analysis based on VHR imagery and low-resolution LiDAR data","volume":"42","author":"Demarchi","year":"2017","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1002\/esp.4509","article-title":"LiDAR-based fluvial remote sensing to assess 50\u2013100-year human-driven channel changes at a regional level: The case of the Piedmont Region, Italy","volume":"44","author":"Bizzi","year":"2019","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"8579","DOI":"10.1080\/10106049.2021.2002431","article-title":"Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data","volume":"37","author":"Cavallo","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"8654","DOI":"10.1080\/01431161.2020.1792575","article-title":"Analysis of changes in rivers planforms using Google Earth Engine","volume":"41","author":"Barriga","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107659","DOI":"10.1016\/j.geomorph.2021.107659","article-title":"Human impact on river planform within the context of multi-timescale river channel dynamics in a Himalayan river system","volume":"381","author":"Vercruysse","year":"2021","journal-title":"Geomorphology"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/LGRS.2007.908305","article-title":"RivWidth: A Software Tool for the Calculation of River Widths From Remotely Sensed Imagery","volume":"5","author":"Pavelsky","year":"2008","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Rusn\u00e1k, M., Goga, T., Michaleje, L., \u0160ulc Michalkov\u00e1, M., M\u00e1\u010dka, Z., Bertalan, L., and Kidov\u00e1, A. (2022). Remote Sensing of Riparian Ecosystems. Remote Sens., 14.","DOI":"10.3390\/rs14112645"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1002\/rra.3479","article-title":"Remote sensing of river corridors: A review of current trends and future directions","volume":"35","author":"Tomsett","year":"2019","journal-title":"River Res. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1002\/rra.881","article-title":"A review of techniques available for delimiting the erodible river corridor: A sustainable approach to managing bank erosion","volume":"21","author":"Darby","year":"2005","journal-title":"River Res. Appl."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Ashmore, P. (2013). 9.17 Morphology and Dynamics of Braided Rivers, Elsevier.","DOI":"10.1016\/B978-0-12-374739-6.00242-6"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.geomorph.2017.01.032","article-title":"Characterising physical habitats and fluvial hydromorphology: A new system for the survey and classification of river geomorphic units","volume":"283","author":"Belletti","year":"2017","journal-title":"Geomorphology"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Diniz, C., Cortinhas, L., Nerino, G., Rodrigues, J., Sadeck, L., Adami, M., and Souza-Filho, P. (2019). Brazilian Mangrove Status: Three Decades of Satellite Data Analysis. Remote Sens., 11.","DOI":"10.3390\/rs11070808"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"657354","DOI":"10.3389\/fenvs.2021.657354","article-title":"Deriving Planform Morphology and Vegetation Coverage From Remote Sensing to Support River Management Applications","volume":"9","author":"Boothroyd","year":"2021","journal-title":"Front. Environ. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.rse.2017.03.026","article-title":"Cloud detection algorithm comparison and validation for operational Landsat data products","volume":"194","author":"Foga","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_30","first-page":"309","article-title":"Monitoring vegetation systems in the Great Plains with ERTS","volume":"351","author":"Rouse","year":"1974","journal-title":"NASA Spec. Publ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1080\/01431160600589179","article-title":"Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery","volume":"27","author":"Xu","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e14934","DOI":"10.1002\/hyp.14934","article-title":"Morphological adjustments of the Yamuna River in the Himalayan foothills in response to natural and anthropogenic stresses","volume":"37","author":"Yadav","year":"2023","journal-title":"Hydrol. Process."},{"key":"ref_33","unstructured":"(2023, July 01). ASIG 2015 Orthophoto, Available online: https:\/\/geoportal.asig.gov.al\/geonetwork\/srv\/eng\/catalog.search#\/metadata\/b50abc17-b932-4a96-b97a-ae6cba52c2fb."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s00027-003-0699-9","article-title":"The Tagliamento River: A model ecosystem of European importance","volume":"65","author":"Tockner","year":"2003","journal-title":"Aquat. Sci. Res. Across Bound."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1007\/s10980-020-00993-y","article-title":"The Vjosa River corridor: A model of natural hydro-morphodynamics and a hotspot of highly threatened ecosystems of European significance","volume":"35","author":"Schiemer","year":"2020","journal-title":"Landsc. Ecol."},{"key":"ref_36","unstructured":"Bajrami, F., Crivellaro, M., Cekrezi, B., Skrame, K., and Zolezzi, G. (2023, January 21\u201325). The Shkumbin River, Albania: Hydromorphological evolution phases. Proceedings of the 5th International Conference on \u201cThe Status and Future of the World\u2019s Large Rivers\u201d, Vienna, Austria."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.earscirev.2011.11.005","article-title":"Changing river channels: The roles of hydrological processes, plants and pioneer fluvial landforms in humid temperate, mixed load, gravel bed rivers","volume":"111","author":"Gurnell","year":"2012","journal-title":"Earth-Sci. Rev."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Crivellaro, M., Serrao, L., Bertoldi, W., Bizzi, S., Vitti, A., and Zolezzi, G. (2022, January 3\u20138). Morphological response to climatic and anthropic pressures of the Vjosa river, a reference system for river management and restoration. Proceedings of the EGU General Assembly Conference Abstracts, Vienna, Austria.","DOI":"10.5194\/egusphere-egu22-9135"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.envsoft.2018.03.028","article-title":"Automated extraction of meandering river morphodynamics from multitemporal remotely sensed data","volume":"105","author":"Monegaglia","year":"2018","journal-title":"Environ. Model. Softw."},{"key":"ref_40","unstructured":"(2023, July 01). True Ortofoto della Regione Friuli Venezia Giulia, 2017\u20132020. Available online: https:\/\/www.regione.fvg.it\/rafvg\/cms\/RAFVG\/ambiente-territorio\/conoscere-ambiente-territorio\/FOGLIA5\/."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.geomorph.2015.05.010","article-title":"A methodological framework for hydromorphological assessment, analysis and monitoring (IDRAIM) aimed at promoting integrated river management","volume":"251","author":"Rinaldi","year":"2015","journal-title":"Geomorphology"},{"key":"ref_42","unstructured":"Pano, N. (1992). Atti del 10\u00b0 Congresso della Associazione Italiana di Oceanologia e Limnologia, G. Lang Publishers."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1080\/014311699213343","article-title":"Relation between river dynamics and coastal changes in Albania: An assessment integrating satellite imagery with historical data","volume":"20","author":"Ciavola","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1002\/rra.1233","article-title":"Understanding reference processes: Linkages between river flows, sediment dynamics and vegetated landforms along the Tagliamento River, Italy","volume":"25","author":"Bertoldi","year":"2009","journal-title":"River Res. Appl."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0169-555X(92)90039-Q","article-title":"A genetic classification of floodplains","volume":"4","author":"Nanson","year":"1992","journal-title":"Geomorphology"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1080\/10095020.2015.1017911","article-title":"Comparison of surface water extraction performances of different classic water indices using OLI and TM imageries in different situations","volume":"18","author":"Zhai","year":"2015","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1474","DOI":"10.1002\/esp.2166","article-title":"Interactions between river flows and colonizing vegetation on a braided river: Exploring spatial and temporal dynamics in riparian vegetation cover using satellite data","volume":"36","author":"Bertoldi","year":"2011","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.geomorph.2013.01.011","article-title":"An assessment of the degree to which Landsat TM data can support the assessment of fluvial dynamics, as revealed by changes in vegetation extent and channel position, along a large river","volume":"202","author":"Henshaw","year":"2013","journal-title":"Geomorphology"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"3120","DOI":"10.1002\/esp.4955","article-title":"UAV-based training for fully fuzzy classification of Sentinel-2 fluvial scenes","volume":"45","author":"Carbonneau","year":"2020","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Demarchi, L., Bizzi, S., and Pi\u00e9gay, H. (2016). Hierarchical Object-Based Mapping of Riverscape Units and in-Stream Mesohabitats Using LiDAR and VHR Imagery. Remote Sens., 8.","DOI":"10.3390\/rs8020097"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"50","DOI":"10.2747\/1548-1603.48.1.50","article-title":"Analysis of post-flood recruitment patterns in braided-channel rivers at multiple scales based on an image series collected by unmanned aerial vehicles, ultra-light aerial vehicles, and satellites","volume":"48","author":"Hervouet","year":"2011","journal-title":"GISci. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"e2020MS002094","DOI":"10.1029\/2020MS002094","article-title":"An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling","volume":"12","author":"Latella","year":"2020","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.geomorph.2016.07.034","article-title":"Changes in morphometric meander parameters identified on the Karoon River, Iran, using remote sensing data","volume":"271","author":"Yousefi","year":"2016","journal-title":"Geomorphology"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"3256","DOI":"10.1111\/gcb.12568","article-title":"Predicted responses of arctic and alpine ecosystems to altered seasonality under climate change","volume":"20","author":"Ernakovich","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1002\/2015JG003131","article-title":"Arctic terrestrial hydrology: A synthesis of processes, regional effects, and research challenges","volume":"121","author":"Bring","year":"2016","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"e2021WR030674","DOI":"10.1029\/2021WR030674","article-title":"Hydro-Morphological Disturbance and Suitability for Temporary Agriculture of Riverine Islands in a Tropical Wandering River","volume":"58","author":"Serrao","year":"2022","journal-title":"Water Resour. Res."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Rossi, D., Zolezzi, G., Bertoldi, W., and Vitti, A. (2023). Monitoring Braided River-Bed Dynamics at the Sub-Event Time Scale Using Time Series of Sentinel-1 SAR Imagery. Remote Sens., 15.","DOI":"10.20944\/preprints202306.0594.v1"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Donchyts, G., Schellekens, J., Winsemius, H., Eisemann, E., and van de Giesen, N. (2016). A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia. Remote Sens., 8.","DOI":"10.3390\/rs8050386"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1186\/s40562-022-00223-0","article-title":"Truths of the Riverscape: Moving beyond command-and-control to geomorphologically informed nature-based river management","volume":"9","author":"Brierley","year":"2022","journal-title":"Geosci. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1002\/esp.3940","article-title":"River sensitivity: A lost foundation concept in fluvial geomorphology","volume":"42","author":"Fryirs","year":"2017","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1002\/wat2.1143","article-title":"How large is a river? Conceptualizing river landscape signatures and envelopes in four dimensions","volume":"3","author":"Gurnell","year":"2016","journal-title":"WIREs Water"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"3252","DOI":"10.1029\/2019GL082027","article-title":"Global Relationships Between River Width, Slope, Catchment Area, Meander Wavelength, Sinuosity, and Discharge","volume":"46","author":"Pavelsky","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00027-015-0424-5","article-title":"A multi-scale hierarchical framework for developing understanding of river behaviour to support river management","volume":"78","author":"Gurnell","year":"2016","journal-title":"Aquat. Sci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00027-015-0438-z","article-title":"Classification of river morphology and hydrology to support management and restoration","volume":"78","author":"Rinaldi","year":"2016","journal-title":"Aquat. Sci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1002\/wat2.1037","article-title":"Characterizing geomorphological change to support sustainable river restoration and management","volume":"1","author":"Grabowski","year":"2014","journal-title":"Wiley Interdiscip. Rev. 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