{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T11:29:24Z","timestamp":1781004564798,"version":"3.54.1"},"reference-count":69,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100016714","name":"University of Sharjah","doi-asserted-by":"publisher","award":["20020401151-P"],"award-info":[{"award-number":["20020401151-P"]}],"id":[{"id":"10.13039\/100016714","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Climate change is undoubtedly affecting the global weather of the Earth. Rapid human civilization has mainly caused this in the last few decades. This research examined the spatial and temporal land surface temperature (LST) in the United Arab Emirates (UAE) coastal cities located in an arid region that faced massive urbanization over the last 50 years. We estimated the LST using by-products of Landsat and MODIS images covering 2000 until 2020. The assessment of LST was performed in two contexts, i.e., spatially and temporally, covering daytime vs. nighttime during the summer and winter seasons. Additionally, a supervised classification technique was adopted to extract the land use and land cover in the study area from the late 1970s until 2018. Unexpectedly, the results indicated that daytime LST in districts near the coastlines (heavily urbanized areas) are lower than the ones far away from the coast (about 9 \u00b0C). This observation represents the spatial LST inversion in the study area. Nevertheless, this difference was not observed during nighttime LST temporally, the daytime LST did not increase significantly during either summer or winter seasons. However, the nighttime LST has increased temporally by about 17% since 2000 (the temporal LST inversion). Both LST inversions could be attributed to the uniqueness of the study area, given that bare land desert was replaced by vegetation, high-rise buildings, and industrial activities. Additionally, the wind breeze blowing from the gulf might potentially contribute to cooling the coastal urban area during the daytime. Furthermore, in-depth zonal statistics were conducted to visualize the effect of land use on LST. The study observed that fully built-up areas with vegetation have lower LST than built-up areas without vegetation or a combination of sand and vegetation. The research outcomes are invaluable for decision-makers and researchers in achieving sustainable urban development.<\/jats:p>","DOI":"10.3390\/rs14081893","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T02:39:31Z","timestamp":1650335971000},"page":"1893","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Spatial and Temporal Inversion of Land Surface Temperature along Coastal Cities in Arid Regions"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7111-0061","authenticated-orcid":false,"given":"Rami","family":"Al-Ruzouq","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates"},{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdallah","family":"Shanableh","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates"},{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3338-0092","authenticated-orcid":false,"given":"Mohamad Ali","family":"Khalil","sequence":"additional","affiliation":[{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waleed","family":"Zeiada","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates"},{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"},{"name":"Public Works Department, College of Engineering, Mansoura University, Mansoura 35516, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8110-1115","authenticated-orcid":false,"given":"Khaled","family":"Hamad","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates"},{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8777-2331","authenticated-orcid":false,"given":"Saleh","family":"Abu Dabous","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates"},{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6465-6231","authenticated-orcid":false,"given":"Mohamed Barakat A.","family":"Gibril","sequence":"additional","affiliation":[{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"},{"name":"Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghadeer","family":"Al-Khayyat","sequence":"additional","affiliation":[{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamil E.","family":"Kaloush","sequence":"additional","affiliation":[{"name":"School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 875306, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8499-2809","authenticated-orcid":false,"given":"Saeed","family":"Al-Mansoori","sequence":"additional","affiliation":[{"name":"Mohammed Bin Rashed Space Center (MBRSC), Dubai 211833, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6180-4673","authenticated-orcid":false,"given":"Ratiranjan","family":"Jena","sequence":"additional","affiliation":[{"name":"Research Institute of Sciences and Engineering, Sharjah 27272, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.1007\/s12665-012-1918-2","article-title":"Impervious surface impact on water quality in the process of rapid urbanization in Shenzhen, China","volume":"68","author":"Liu","year":"2013","journal-title":"Environ. Earth Sci."},{"key":"ref_2","first-page":"29","article-title":"The seasonal variability of the amount of global solar radiation reaching the ground in urban and rural areas on the example of Warsaw and Belsk","volume":"20","author":"Nelken","year":"2016","journal-title":"Misc. Geogr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.solener.2004.01.008","article-title":"A study of ultraviolet solar radiation at Cairo urban area, Egypt","volume":"77","author":"Robaa","year":"2004","journal-title":"Sol. Energy"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.enconman.2008.06.024","article-title":"Urban-rural solar radiation loss in the atmosphere of Greater Cairo region, Egypt","volume":"50","author":"Robaa","year":"2009","journal-title":"Energy Convers. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1859","DOI":"10.1016\/0004-6981(86)90326-4","article-title":"Features of the heat island in seoul and its surrounding cities","volume":"20","author":"Park","year":"1986","journal-title":"Atmos. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"21","DOI":"10.3354\/cr01103","article-title":"Daytime cooling efficiency and diurnal energy balance in Phoenix, Arizona, USA","volume":"54","author":"Middel","year":"2012","journal-title":"Clim. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2007.02.011","article-title":"Estimation of storage heat flux in an urban area using ASTER data","volume":"110","author":"Kato","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.rse.2012.11.007","article-title":"Temperature-land cover interactions: The inversion of urban heat island phenomenon in desert city areas","volume":"130","author":"Lazzarini","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12665-017-6538-4","article-title":"Spatiotemporal analysis of the atmospheric and surface urban heat islands of the Metropolitan Area of Toluca, Mexico","volume":"76","author":"Rivera","year":"2017","journal-title":"Environ. Earth Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3175","DOI":"10.1016\/j.rse.2011.07.003","article-title":"Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures","volume":"115","author":"Schwarz","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1146\/annurev-environ-102014-021155","article-title":"Urban Heat Island: Mechanisms, Implications, and Possible Remedies","volume":"40","author":"Phelan","year":"2015","journal-title":"Annu. Rev. Environ. Resour."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/S1001-0742(08)60019-4","article-title":"A review on the generation, determination and mitigation of Urban Heat Island","volume":"20","author":"Rizwan","year":"2008","journal-title":"J. Environ. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.17485\/ijst\/2016\/v9i5\/87201","article-title":"Urbanization and its impact on urban heat Island intensity in Chennai Metropolitan Area, India","volume":"9","author":"Amirtham","year":"2016","journal-title":"Indian J. Sci. Technol."},{"key":"ref_14","first-page":"234","article-title":"Urban Heat Island in a Tropical City Interlaced by Wetlands","volume":"5","author":"Thomas","year":"2011","journal-title":"J. Environ. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Yao, R., Wang, L., Gui, X., Zheng, Y., Zhang, H., and Huang, X. (2017). Urbanization effects on vegetation and surface urban heat islands in China\u2019s Yangtze River Basin. Remote Sens., 9.","DOI":"10.3390\/rs9060540"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/j.scs.2018.01.033","article-title":"Urban heat island effect of a typical valley city in China: Responds to the global warming and rapid urbanization","volume":"38","author":"Li","year":"2018","journal-title":"Sustain. Cities Soc."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.landurbplan.2012.05.016","article-title":"Spatial non-stationarity in the relationships between land cover and surface temperature in an urban heat island and its impacts on thermally sensitive populations","volume":"107","author":"Su","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Coseo, P., and Larsen, L. (2019). Accurate characterization of land cover in urban environments: Determining the importance of including obscured impervious surfaces in urban heat island models. Atmosphere, 10.","DOI":"10.3390\/atmos10060347"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Chen, T., Sun, A., and Niu, R. (2019). Effect of land cover fractions on changes in surface urban heat islands using landsat time-series images. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16060971"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Li, B., Liu, Z., Nan, Y., Li, S., and Yang, Y. (2018). Comparative analysis of urban heat island intensities in Chinese, Russian, and DPRK regions across the transnational urban agglomeration of the Tumen River in Northeast Asia. Sustainability, 10.","DOI":"10.3390\/su10082637"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Filho, W.L., Icaza, L.E., Emanche, V.O., and Al-Amin, A.Q. (2017). An evidence-based review of impacts, strategies and tools to mitigate urban heat islands. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14121600"},{"key":"ref_22","first-page":"160","article-title":"An effective public health program to reduce urban heat islands in Qu\u00e9bec, Canada","volume":"40","author":"Beaudoin","year":"2016","journal-title":"Rev. Panam. Salud Publica\/Pan Am. J. Public Health"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1177\/0143624414541451","article-title":"Amsterwarm: Mapping the landuse, health and energy-efficiency implications of the Amsterdam urban heat island","volume":"36","author":"Wandl","year":"2015","journal-title":"Build. Serv. Eng. Res. Technol."},{"key":"ref_24","first-page":"204","article-title":"Mitigating the urban heat island effect: Some points without altering existing city planning","volume":"35","author":"Shahmohamadi","year":"2009","journal-title":"Eur. J. Sci. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.compenvurbsys.2015.08.002","article-title":"The urban heat island effect and city contiguity","volume":"54","author":"Debbage","year":"2015","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.uclim.2014.05.003","article-title":"Identifying seasonal heat islands in urban settings of Delhi (India) using remotely sensed data\u2014An anomaly based approach","volume":"9","author":"Sharma","year":"2014","journal-title":"Urban Clim."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.scs.2016.03.009","article-title":"Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use\/Land Cover in Tehran","volume":"23","author":"Bokaie","year":"2016","journal-title":"Sustain. Cities Soc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.enbuild.2017.10.062","article-title":"Analysis of diurnal surface temperature variations for the assessment of surface urban heat island effect over Indian cities","volume":"159","author":"Mathew","year":"2018","journal-title":"Energy Build."},{"key":"ref_29","first-page":"1","article-title":"Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature","volume":"114","author":"Sobrino","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2332","DOI":"10.1109\/JSTARS.2019.2913822","article-title":"Land Surface Temperature Retrieval by LANDSAT 8 Thermal Band: Applications of Laboratory and Field Measurements","volume":"12","author":"Kafer","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.rse.2004.02.018","article-title":"Deriving land surface temperature from Landsat 5 and 7 during SMEX02\/SMACEX","volume":"92","author":"Li","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"30808","DOI":"10.1007\/s11356-019-06273-w","article-title":"Investigating the urbanization process and its impact on vegetation change and urban heat island in Wuhan, China","volume":"26","author":"Gui","year":"2019","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1061\/(ASCE)0733-9488(2008)134:3(110)","article-title":"Surface- and air-temperature studies in relation to land use\/land cover of nagpur urban area using landsat 5 TM data","volume":"134","author":"Katpatal","year":"2008","journal-title":"J. Urban Plan. Dev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.landurbplan.2017.08.009","article-title":"Evaluating urban heat island in the critical local climate zones of an Indian city","volume":"169","author":"Kotharkar","year":"2018","journal-title":"Landsc. Urban Plan."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Mohammad, P., Goswami, A., and Bonafoni, S. (2019). The impact of the land cover dynamics on surface urban heat island variations in semi-arid cities: A case study in Ahmedabad City, India, using multi-sensor\/source data. Sensors, 19.","DOI":"10.3390\/s19173701"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"100540","DOI":"10.1016\/j.uclim.2019.100540","article-title":"Inter-local climate zone differentiation of land surface temperatures for Management of Urban Heat in Nairobi City, Kenya","volume":"31","author":"Ochola","year":"2020","journal-title":"Urban Clim."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Qiao, Z., Liu, L., Qin, Y., Xu, X., Wang, B., and Liu, Z. (2020). The impact of urban renewal on land surface temperature changes: A case study in the main city of Guangzhou, China. Remote Sens., 12.","DOI":"10.3390\/rs12050794"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1080\/10298430500505325","article-title":"Mesoscale and microscale evaluation of surface pavement impacts on the urban heat island effects","volume":"7","author":"Golden","year":"2006","journal-title":"Int. J. Pavement Eng."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12665-021-09540-7","article-title":"Analysis of urban heat island characteristics and mitigation strategies for eight arid and semi-arid gulf region cities","volume":"80","author":"Abulibdeh","year":"2021","journal-title":"Environ. Earth Sci."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Mohamed, M., Othman, A., Abotalib, A.Z., and Majrashi, A. (2021). Urban heat island effects on megacities in desert environments using spatial network analysis and remote sensing data: A case study from western Saudi Arabia. Remote Sens., 13.","DOI":"10.3390\/rs13101941"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.asr.2020.04.009","article-title":"A comparative analysis of day and night land surface temperature in two semi-arid cities using satellite images sampled in different seasons","volume":"66","author":"Bala","year":"2020","journal-title":"Adv. Sp. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.uclim.2018.01.004","article-title":"Potentials of meteorological characteristics and synoptic conditions to mitigate urban heat island effects","volume":"24","author":"He","year":"2018","journal-title":"Urban Clim."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"812","DOI":"10.4157\/grj.78.812","article-title":"Relation between heat island intensity and city size indices\/urban canopy characteristics in settlements of Nagano basin, Japan","volume":"78","author":"Sakakibara","year":"2005","journal-title":"Geogr. Rev. Jpn."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"100681","DOI":"10.1016\/j.uclim.2020.100681","article-title":"Influence of synoptic scale atmospheric circulation on the development of urban heat island in Prague and Bucharest","volume":"34","author":"Zak","year":"2020","journal-title":"Urban Clim."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"110584","DOI":"10.1016\/j.envres.2020.110584","article-title":"Localized synergies between heat waves and urban heat islands: Implications on human thermal comfort and urban heat management","volume":"193","author":"He","year":"2021","journal-title":"Environ. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"102289","DOI":"10.1016\/j.scs.2020.102289","article-title":"Relationships among local-scale urban morphology, urban ventilation, urban heat island and outdoor thermal comfort under sea breeze influence","volume":"60","author":"He","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"101145","DOI":"10.1016\/j.jobe.2019.101145","article-title":"Wind-sensitive urban planning and design: Precinct ventilation performance and its potential for local warming mitigation in an open midrise gridiron precinct","volume":"29","author":"He","year":"2020","journal-title":"J. Build. Eng."},{"key":"ref_48","unstructured":"Khalil, M., Al-Ruzouq, R., Hamad, K., and Shanableh, A. (2017, January 18\u201320). Multi-Temporal satellite imagery for infrastructure growth assessment of Dubai City, UAE. Proceedings of the MATEC Web of Conferences, Sharjah, United Arab Emirates."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.compenvurbsys.2014.02.005","article-title":"Developing the desert: The pace and process of urban growth in Dubai","volume":"45","author":"Nassar","year":"2014","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1080\/19475683.2017.1325935","article-title":"Infrastructure growth assessment of urban areas based on multi-temporal satellite images and linear features","volume":"23","author":"Hamad","year":"2017","journal-title":"Ann. GIS"},{"key":"ref_51","first-page":"1","article-title":"Spatio-temporal analysis of urban growth and its impact on floods in Ajman City, UAE","volume":"191","author":"Yilmaz","year":"2019","journal-title":"Environ. Monit. Assess."},{"key":"ref_52","first-page":"27","article-title":"Calibration history of Landsat thermal data","volume":"1","author":"Schott","year":"2002","journal-title":"Int. Geosci. Remote Sens. Symp."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"141","DOI":"10.5589\/m02-087","article-title":"Landsat TM and ETM+ thermal band calibration","volume":"29","author":"Barsi","year":"2003","journal-title":"Can. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"3714","DOI":"10.1080\/01431161.2015.1070322","article-title":"Comparing the spectral signal of burned surfaces between Landsat 7 ETM+ and Landsat 8 OLI sensors","volume":"36","author":"Koutsias","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1080\/10106049.2016.1170893","article-title":"Fusion of RADARSAT-2 and multispectral optical remote sensing data for LULC extraction in a tropical agricultural area","volume":"32","author":"Gibril","year":"2017","journal-title":"Geocarto Int."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Gibril, M.B.A., Kalantar, B., Al-Ruzouq, R., Ueda, N., Saeidi, V., Shanableh, A., Mansor, S., and Shafri, H.Z.M. (2020). Mapping heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image segmentation and classification. Remote Sens., 12.","DOI":"10.3390\/rs12071081"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"6796","DOI":"10.1080\/01431161.2019.1594435","article-title":"Large-scale urban mapping using integrated geographic object-based image analysis and artificial bee colony optimization from worldview-3 data","volume":"40","author":"Hamedianfar","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"016036","DOI":"10.1117\/1.JRS.12.016036","article-title":"Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data","volume":"12","author":"Gibril","year":"2018","journal-title":"J. Appl. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Hamedianfar, A., Gibril, M.B.A., and Pellikka, P.K.E. (2020). Synergistic use of particle swarm optimization, artificial neural network, and extreme gradient boosting algorithms for urban LULC mapping from WorldView-3 images. Geocarto Int., 1\u201319.","DOI":"10.1080\/10106049.2020.1737974"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Al-ruzouq, R., Shanableh, A., Mohamed, B., and Kalantar, B. (2019). Multi-scale correlation-based feature selection and random forest classification for LULC mapping from the integration of SAR and optical Sentinel imagess. Remote Sensing Technologies and Applications in Urban Environments IV, International Society for Optics and Photonics.","DOI":"10.1117\/12.2533123"},{"key":"ref_61","first-page":"309","article-title":"Monitoring vegetation systems in the Great Plains with ERTS","volume":"1","author":"Hass","year":"1974","journal-title":"Third Earth Resour. Technol. Satell. Symp."},{"key":"ref_62","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_63","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_64","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Ermida, S.L., Soares, P., Mantas, V., G\u00f6ttsche, F.M., and Trigo, I.F. (2020). Google earth engine open-source code for land surface temperature estimation from the landsat series. Remote Sens., 12.","DOI":"10.3390\/rs12091471"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2016.11.009","article-title":"Spring and summer monthly MODIS LST is inherently biased compared to air temperature in snow covered sub-Arctic mountains","volume":"189","author":"Williamson","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Alqasemi, A.S., Hereher, M.E., Al-Quraishi, A.M.F., Saibi, H., Aldahan, A., and Abuelgasim, A. (2020). Retrieval of monthly maximum and minimum air temperature using MODIS aqua land surface temperature data over the United Arab Emirates. Geocarto Int., 1\u201318.","DOI":"10.1080\/10106049.2020.1837261"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.ecolind.2016.09.009","article-title":"Comparison of the urban heat island intensity quantified by using air temperature and Landsat land surface temperature in Hangzhou, China","volume":"72","author":"Sheng","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"9185","DOI":"10.1002\/2017JD026880","article-title":"A spatiotemporal analysis of the relationship between near-surface air temperature and satellite land surface temperatures using 17 years of data from the ATSR series","volume":"122","author":"Good","year":"2017","journal-title":"J. Geophys. Res. 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