{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:28:17Z","timestamp":1762507697306,"version":"build-2065373602"},"reference-count":53,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T00:00:00Z","timestamp":1551657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["0000"],"award-info":[{"award-number":["0000"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Recognition and characterization of built-up areas in the Siberian sub-Arctic urban territories of Yakutsk are dependent on two main factors: (1) the season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influences the accuracy of urban object detection, and (2) the urban structure, which influences the morphological recognition and characterization of built-up areas. In this study, high repetitiveness remote sensing Sentinel-2A and SPOT 6 high-resolution satellite images were combined to characterize and detect urban built-up areas over the city of Yakutsk. High temporal resolution of Sentinel-2A allows land use change detection and metric spatial resolution of SPOT 6 allows the characterization of built-up areas\u2019 socioeconomic functions and uses.<\/jats:p>","DOI":"10.3390\/ijgi8030129","type":"journal-article","created":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T05:45:36Z","timestamp":1551678336000},"page":"129","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6472-9955","authenticated-orcid":false,"given":"S\u00e9bastien","family":"Gadal","sequence":"first","affiliation":[{"name":"Aix-Marseille Univ, CNRS, ESPACE UMR 7300, Univ Nice Sophia Antipolis, Avignon Univ, 13545 Aix-en-Provence, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2119-7290","authenticated-orcid":false,"given":"Walid","family":"Ouerghemmi","sequence":"additional","affiliation":[{"name":"Aix-Marseille Univ, CNRS, ESPACE UMR 7300, Univ Nice Sophia Antipolis, Avignon Univ, 13545 Aix-en-Provence, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,4]]},"reference":[{"key":"ref_1","unstructured":"da Fonseca, A.A.M., Puentes, A., and Vilari\u00f1o, B.E. (2017). Pioneering Cities of Mining: Comparison of the Eastern Venezuela and Eastern Siberia. Digital Cities and Spatial Justice, IGU Urban Commission."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/S1002-0160(08)60088-0","article-title":"Urban Land Use Change Detection Using Multisensor Satellite Images","volume":"19","author":"Deng","year":"2009","journal-title":"Pedosphere"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"690872","DOI":"10.1155\/2014\/690872","article-title":"Land Use\/Cover Change Detection and Urban Sprawl Analysis in Bandar Abbas City, Iran","volume":"2014","author":"Dadras","year":"2014","journal-title":"Sci. World J."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ijsbe.2015.02.005","article-title":"Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt","volume":"4","author":"Hegazy","year":"2015","journal-title":"Int. J. Sustain. Built Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1016\/j.protcy.2016.05.231","article-title":"Use of High Resolution Google Earth Satellite Imagery in Landuse Map Preparation for Urban Related Applications","volume":"24","author":"Malarvizhi","year":"2016","journal-title":"Procedia Technol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1080\/01431161.2016.1275875","article-title":"Monitoring spatial patterns and changes of surface net radiation in urban and suburban areas using satellite remote-sensing data","volume":"38","author":"Hu","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1080\/01431160304987","article-title":"Use of normalized difference built-up index in automatically mapping urban areas from TM imagery","volume":"24","author":"Zha","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.ijsbe.2017.02.003","article-title":"Analysis of urban growth and sprawl from remote sensing data: Case of Fez, Morocco","volume":"6","author":"David","year":"2017","journal-title":"Int. J. Sustain. Built Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2957","DOI":"10.3390\/rs4102957","article-title":"Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area","volume":"4","author":"Adnyana","year":"2012","journal-title":"Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2081","DOI":"10.1109\/JSTARS.2015.2478914","article-title":"Combinational Build-Up Index (CBI) for Effective Impervious Surface Mapping in Urban Areas","volume":"9","author":"Sun","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/0273-1177(89)90481-X","article-title":"Remote sensing of arid soil surface color with Landsat Thematic Mapper","volume":"9","author":"Escadafal","year":"1989","journal-title":"Adv. Space Res."},{"key":"ref_12","unstructured":"Freden, S.C., Mercanti, E.P., and Becker, M. (1974). Monitoring vegetation systems in the Great Plains with ERTS, Third Earth Resources Technology Satellite\u20131 Symposium, Volume I: Technical Presentations, NASA SP-351."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1080\/01431169608948714","article-title":"The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features","volume":"17","author":"McFEETERS","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Muro, J., Canty, M.J., Conradsen, K., H\u00fcttich, C., Nielsen, A.A., Skriver, H., Remy, F., Strauch, A., Thonfeld, F., and Menz, G. (2016). Short-Term Change Detection in Wetlands Using Sentinel-1 Time Series. Remote Sens., 8.","DOI":"10.3390\/rs8100795"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Tapete, D., and Cigna, F. (2016, January 4\u20138). Urban remote sensing in areas of conflict: TerraSAR-X and Sentinel-1 change detection in the Middle East. Proceedings of the Fourth International Conference on Remote Sensing and Geoinformation of the Environment, Paphos, Cyprus.","DOI":"10.1117\/12.2241442"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Lefebvre, A., Sannier, C., and Corpetti, T. (2016). Monitoring Urban Areas with Sentinel-2A Data: Application to the Update of the Copernicus High Resolution Layer Imperviousness Degree. Remote Sens., 8.","DOI":"10.3390\/rs8070606"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"22","DOI":"10.32526\/ennrj.17.1.2019.03","article-title":"Urban Land Cover Mapping and Change Detection Analysis Using High Resolution Sentinel-2A Data","volume":"17","author":"Vigneshwaran","year":"2018","journal-title":"Environ. Nat. Resour. J."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.isprsjprs.2013.09.014","article-title":"Geographic Object-Based Image Analysis\u2014Towards a new paradigm","volume":"87","author":"Blaschke","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Blaschke, T., Lang, S., and Hay, G.J. (2008). Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline?. Object-Based Image Analysis\u2014Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Springer. Chapter 1.4.","DOI":"10.1007\/978-3-540-77058-9"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.isprsjprs.2009.06.004","article-title":"Object based image analysis for remote sensing","volume":"65","author":"Blaschke","year":"2010","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2243","DOI":"10.3390\/rs3102243","article-title":"Monitoring Urban Tree Cover Using Object-Based Image Analysis and Public Domain Remotely Sensed Data","volume":"3","author":"Moskal","year":"2011","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"404","DOI":"10.3390\/rs4020404","article-title":"An object-based image analysis method for monitoring land conversion by artificial sprawl use of RapidEye and IRS data","volume":"4","author":"Dupuy","year":"2012","journal-title":"Remote Sens."},{"key":"ref_23","first-page":"433","article-title":"Morpho-Spectral Recognition of Dense Urban Objects by Hyperspectral Imagery. International Archives of the Photogrammetry","volume":"40","author":"Gadal","year":"2015","journal-title":"Remote Sens. Spat. Inf. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Gadal, S., and Ouerghemmi, W. (2016, January 21\u201324). Morpho-spectral objects classification by hyperspectral airborne imagery. Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, USA.","DOI":"10.1109\/WHISPERS.2016.8071762"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"29","DOI":"10.5194\/isprsarchives-XL-1-W1-29-2013","article-title":"Using morphological differential attribute profiles for change categorization in high resolution SAR images","volume":"1","author":"Boldt","year":"2013","journal-title":"Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2014.09.008","article-title":"Connected image processing with multivariate attributes: An unsupervised Markovian classification approach","volume":"133","author":"Perret","year":"2015","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3899","DOI":"10.1109\/TGRS.2016.2530690","article-title":"Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes","volume":"54","author":"Cavallaro","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1023\/A:1008990208911","article-title":"Mathematical morphology: A useful set of tools for image analysis","volume":"10","author":"Breen","year":"2000","journal-title":"Stat. Comput."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2256","DOI":"10.3390\/rs4082256","article-title":"Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data","volume":"4","author":"Salehi","year":"2012","journal-title":"Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"135","DOI":"10.5194\/isprsannals-I-7-135-2012","article-title":"Analyzing the shape characteristics of land use classes in remote sensing imagery","volume":"1\u20137","author":"Jiao","year":"2012","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_31","first-page":"5","article-title":"Remote sensing and GIS\u2019S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia)","volume":"5","author":"Rollot","year":"2016","journal-title":"Ap\u043a\u0442\u0438\u043a\u0430 XXI \u0432\u0435\u043a: \u0415\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u043d\u0430\u0443\u043a\u0438 North East. Fed. Univ."},{"key":"ref_32","unstructured":"Newell, J., and Republic of Sakha (2004). The Russian Far East: A Reference Guide for Conservation and Development, Daniel & Daniel Publishers. [2nd ed.]."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Maj, E. (2006). Sib\u00e9rie Extr\u00eame-Orientale: Nature et Ville Post-Communiste en R\u00e9publique Sakha (Iakoutie), Strates. Available online: http:\/\/journals.openedition.org\/strates\/2392.","DOI":"10.4000\/strates.2392"},{"key":"ref_34","first-page":"4","article-title":"Post-soviet geo-demographic dynamics and metropolisation processes in the Republic of Sakha (Russian Federation)","volume":"7","author":"Gadal","year":"2016","journal-title":"AP\u041a\u0422\u0418\u041aA. XXI \u0432\u0435\u043a. \u0413\u0443\u043c\u0430\u043d\u0438\u0442\u0430\u0440\u043d\u044b\u0435 \u043d\u0430\u0443\u043a\u0438, North East. Fed. Univ."},{"key":"ref_35","unstructured":"Escadafal, R., and Bacha, S. (1995, January 6\u201310). Strategy for the dynamic study of desertification. Proceedings of the ISSS International Symposium, Ouagadougou, Burkino Faso."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Sun, Z., Wang, C., Guo, H., and Shang, R. (2017). A Modified Normalized Difference Impervious Surface Index (MNDISI) for Automatic Urban Mapping from Landsat Imagery. Remote Sens., 9.","DOI":"10.3390\/rs9090942"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0034-4257(93)90013-N","article-title":"The Spectral Image Processing System (SIPS)\u2014Interactive Visualization and Analysis of Imaging spectrometer Data","volume":"44","author":"Kruse","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Marais Sicre, C., Inglada, J., Fieuzal, R., Baup, F., Valero, S., Cros, J., Huc, M., and Demarez, V. (2016). Early Detection of Summer Crops Using High Spatial Resolution Optical Image Time Series. Remote Sens., 8.","DOI":"10.3390\/rs8070591"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.rse.2018.09.015","article-title":"Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging","volume":"218","author":"Gholizadeh","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"119","DOI":"10.11118\/actaun201866010119","article-title":"Assessment of Soil Variability of South Moravian Region Based on the Satellite Imagery","volume":"66","author":"Lukas","year":"2018","journal-title":"Acta Univ. Agric. Silvic. Mendel. Brun."},{"key":"ref_41","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_42","doi-asserted-by":"crossref","first-page":"3544","DOI":"10.3390\/rs5073544","article-title":"Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach","volume":"5","author":"McFeeters","year":"2013","journal-title":"Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/j.aqpro.2015.02.095","article-title":"Assessment of Surface Water Dynamicsin Bangalore Using WRI, NDWI, MNDWI, Supervised Classification and K-T Transformation","volume":"4","author":"Gautam","year":"2015","journal-title":"Aquat. Procedia"},{"key":"ref_44","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_45","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A Threshold Selection Method from Gray-Level Histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man Cybernet."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.deveng.2018.03.001","article-title":"Utilizing publicly available satellite data for urban research: Mapping built-up land cover and land use in Ho Chi Minh City, Vietnam","volume":"3","author":"Goldblatt","year":"2018","journal-title":"Dev. Eng."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Rasul, A., Balzter, H., Ibrahim, G.R.F., Hameed, H.M., Wheeler, J., Adamu, B., Ibrahim, S., and Najmaddin, P.M. (2018). Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates. Land, 7.","DOI":"10.3390\/land7030081"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1364\/JOSAA.35.000035","article-title":"Built-up index methods and their applications for urban extraction from Sentinel 2A satellite data: Discussion","volume":"35","year":"2018","journal-title":"J. Opt. Soc. Am."},{"key":"ref_49","first-page":"2","article-title":"Development of New Indices for Extraction of Built-Up Area and Bare Soil from Landsat Data","volume":"1","author":"Waqar","year":"2012","journal-title":"Open Access Sci. Rep."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.rse.2012.09.009","article-title":"BCI: A biophysical composition index for remote sensing of urban environments","volume":"127","author":"Chengbin","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_51","first-page":"321","article-title":"Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data","volume":"31","author":"Kawamura","year":"1996","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1016\/S0034-4257(96)00112-5","article-title":"A comparison of vegetation indices over a global set of TM images for EOS-MODIS","volume":"59","author":"Huete","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Mou, L., Bruzzone, L., and Zhu, X.X. (arXiv, 2018). Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery, arXiv.","DOI":"10.1109\/TGRS.2018.2863224"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/3\/129\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:36:02Z","timestamp":1760186162000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/3\/129"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,4]]},"references-count":53,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["ijgi8030129"],"URL":"https:\/\/doi.org\/10.3390\/ijgi8030129","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2019,3,4]]}}}