{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T11:03:02Z","timestamp":1787050982615,"version":"build-2736575974"},"reference-count":13,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["methods-x.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["MethodsX"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.mex.2024.102785","type":"journal-article","created":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T15:54:04Z","timestamp":1717430044000},"page":"102785","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Combining Google Earth historical imagery and UAV photogrammetry for urban development analysis"],"prefix":"10.1016","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0472-9715","authenticated-orcid":false,"given":"Chima","family":"Iheaturu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chukwuma","family":"Okolie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emmanuel","family":"Ayodele","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andy","family":"Egogo-Stanley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Solomon","family":"Musa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chinwe Ifejika","family":"Speranza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.mex.2024.102785_bib0001","unstructured":"UN, 68% of the world population projected to live in urban areas by 2050, says UN | UN DESA | United Nations department of economic and social affairs, (2018). https:\/\/www.un.org\/development\/desa\/en\/news\/population\/2018-revision-of-world-urbanization-prospects.html (accessed May 27, 2024)."},{"key":"10.1016\/j.mex.2024.102785_bib0002","article-title":"A simplified structure-from-motion photogrammetry approach for urban development analysis","volume":"28","author":"Iheaturu","year":"2022","journal-title":"Remote Sens. Appl."},{"key":"10.1016\/j.mex.2024.102785_bib0003","article-title":"Measuring urban sprawl of small and medium towns using GIS and remote sensing techniques: a case study of Sri Lanka","volume":"24","author":"Manesha","year":"2021","journal-title":"Egyptian J. Remote Sens. Space Sci."},{"key":"10.1016\/j.mex.2024.102785_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.jag.2021.102500","article-title":"Urban development analysis using built-up area maps based on multiple high-resolution satellite data","volume":"103","author":"Wang","year":"2021","journal-title":"Internat. J. Appl. Earth Observat. Geoinformat."},{"key":"10.1016\/j.mex.2024.102785_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.cities.2012.01.007","article-title":"To grow or to sprawl? Land Cover Relationships in a Mediterranean City Region and implications for land use management","volume":"30","author":"Salvati","year":"2013","journal-title":"Cities."},{"key":"10.1016\/j.mex.2024.102785_bib0009","unstructured":"M. Elshayal, Elshayal Smart GIS software, (2021). https:\/\/elshayal-smart.en.lo4d.com\/windows (accessed August 8, 2022)."},{"key":"10.1016\/j.mex.2024.102785_bib0010","unstructured":"PIX4D, How to verify that there is enough overlap between the images - PIX4Dmapper, (2018). https:\/\/support.pix4d.com\/hc\/en-us\/articles\/203756125 (accessed May 19, 2024)."},{"key":"10.1016\/j.mex.2024.102785_bib0011","doi-asserted-by":"crossref","DOI":"10.1002\/esp.3747","article-title":"From experimental plots to experimental landscapes: topography, erosion and deposition in sub-humid badlands from Structure-from-Motion photogrammetry","volume":"40","author":"Smith","year":"2015","journal-title":"Earth. Surf. Process. Landf."},{"key":"10.1016\/j.mex.2024.102785_bib0012","article-title":"photogrammetric accuracy and modeling of rolling shutter cameras","volume":"III\u20133","author":"Vautherin","year":"2016","journal-title":"ISPRS Ann. Photogramm., Remote Sens. Spatial Informat. Sci."},{"key":"10.1016\/j.mex.2024.102785_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.aej.2021.04.011","article-title":"Accuracy assessment of low-cost unmanned aerial vehicle (UAV) Photogrammetry","volume":"60","author":"Elkhrachy","year":"2021","journal-title":"Alexandria Eng. J."},{"key":"10.1016\/j.mex.2024.102785_bib0007","series-title":"IOP Conf Ser Earth Environ Sci","article-title":"Quantitative analysis of urban sprawl in Tripoli using Pearson's Chi-Square statistics and urban expansion intensity index","author":"Al-Sharif","year":"2014"},{"key":"10.1016\/j.mex.2024.102785_bib0008","doi-asserted-by":"crossref","DOI":"10.3389\/fenvs.2022.860814","article-title":"The spatiotemporal characteristics and rationality of emerging megacity urban expansion: a case study of Zhengzhou in Central China","volume":"10","author":"Cai","year":"2022","journal-title":"Front. Environ. Sci."},{"key":"10.1016\/j.mex.2024.102785_bib0014","article-title":"Analysis of temporal and spatial characteristics of urban expansion in xiaonan district from 1990 to 2020 using time series landsat imagery","volume":"13","author":"Liu","year":"2021","journal-title":"Remote Sens. (Basel)"}],"container-title":["MethodsX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2215016124002383?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2215016124002383?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T15:31:10Z","timestamp":1737387070000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2215016124002383"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":13,"alternative-id":["S2215016124002383"],"URL":"https:\/\/doi.org\/10.1016\/j.mex.2024.102785","relation":{},"ISSN":["2215-0161"],"issn-type":[{"value":"2215-0161","type":"print"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Combining Google Earth historical imagery and UAV photogrammetry for urban development analysis","name":"articletitle","label":"Article Title"},{"value":"MethodsX","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mex.2024.102785","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"https:\/\/doi.org\/10.1016\/j.rsase.2022.100850","name":"associatedlink","label":"CrossRef DOI link to the associated document"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"102785"}}