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Journal articles on the topic 'Urban Index (UI)'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Muhaimin, M., D. Fitriani, S. Adyatma, and D. Arisanty. "mapping build-up area density using normalized difference built-up index (ndbi) and urban index (ui) wetland in the city banjarmasin." IOP Conference Series: Earth and Environmental Science 1089, no. 1 (2022): 012036. http://dx.doi.org/10.1088/1755-1315/1089/1/012036.

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Abstract Density and undeveloped land can be identified using digital transformation through remote sensing data. This study aims to map the distribution of building densities with the Normalized Difference Built-Up Index (NDBI) and Urban Index (UI), analyze the comparison of building densities of the NDBI and UI methods, and analyze the relationship between the transformation of NDBI and UI on building densities in Banjarmasin City. The data used to obtain building density image Landsat 8 Oli Tirs. The method used to separate the built area and non-building area using digital classification.

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Guha, Subhanil, Himanshu Govil, and Neelay Srivastava. "An Analytical Study on the Relationship of Land Surface Temperature with Normalized Difference Built-up Index, Urban Index, and Built-up Index." Ekológia (Bratislava) 44, no. 1 (2025): 69–80. https://doi.org/10.2478/eko-2025-0009.

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Abstract The present study examines three urban indices: the normalized difference built-up index (NDBI), the urban index (UI), and the built-up index (BUI). It analyzes their relationship with land surface temperature (LST) using 12 Landsat 8 datasets collected during the summer season from 2013 to 2024 in Raipur, a tropical city in India. The results indicate that the mean LST of the city exceeded 40 °C in 2013, but this temperature has been moderated in subsequent years due to the implementation of ecofriendly initiatives. Among the three indices, NDBI shows the least variability. All three

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Cigerci, Hazal, Filiz Bektas Balcik, Aliihsan Sekertekin, and Ceyhan Kahya. "Unveiling Istanbul’s City Dynamics: Spatiotemporal Hotspot Analysis of Vegetation, Settlement, and Surface Urban Heat Islands." Sustainability 16, no. 14 (2024): 5981. http://dx.doi.org/10.3390/su16145981.

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Investigation of cities’ spatiotemporal dynamics, including vegetation and urban areas, is of utmost importance for understanding ecological balance, urban planning, and sustainable development. This study investigated the dynamic interactions between vegetation, settlement patterns, and surface urban heat islands (SUHIs) in Istanbul using spatiotemporal hotspot analysis. Utilizing Landsat satellite imagery, we applied the Getis-Ord Gi* statistic to analyze Land Surface Temperature (LST), Urban Index (UI), and Normalized Difference Vegetation Index (NDVI) across the city. Using satellite image

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Bashit, Nurhadi, Yudo Prasetyo, and Abdi Sukmono. "KAJIAN PERKEMBANGAN LAHAN TERBANGUN KOTA PEKALONGAN MENGGUNAKAN METODE URBAN INDEX (UI)." Elipsoida : Jurnal Geodesi dan Geomatika 2, no. 02 (2019): 12–18. http://dx.doi.org/10.14710/elipsoida.2019.6440.

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Indonesia merupakan negara berkembang yang mengalami peningkatan pembangunan di wilayah perkotaan sehingga dapat dilihat berdasarkan perubahan fisik perkotaan. Perkembangan pembangunan dapat menyebabkan perubahan penggunaan lahan dari lahan kosong menjadi lahan terbangun. Perubahan lahan terbangun merupakan hal yang umum terjadi di perkotaan karena pertumbuhan jumlah penduduk. Peningkatan lahan terbangun dan menurunnya lahan terbuka hijau dapat menyebabkan dampak perubahan fungsi lahan. Perubahan fungsi lahan memberikan dampak pada perubahan tatanan lingkungan berupa menurunnya kualitas lingku

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Ghosh, Debashish Kumar, Anukul Ch Mandal, Raja Majumder, Poly Patra, and Gouri Sankar Bhunia. "Analysis for Mapping of Built-Up Area Using Remotely Sensed Indices – A Case Study of Rajarhat Block in Barasat Sadar Sub-Division in West Bengal (India)." Journal of Landscape Ecology 11, no. 2 (2018): 67–76. http://dx.doi.org/10.2478/jlecol-2018-0007.

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Abstract Present study investigated mapping and monitoring urban land areas from Landsat8 satellite data using remotely sensed indices. The normalized difference built-up index (NDBI), Enhanced Built-Up and Bareness Index (EBBI), Index-based built-up index (IBI), urban index (UI), normalized difference bareness index (NDBaI) were used to extract the built-up area. The NDBI was more effective at discriminating built-up areas and at increasing accuracy (overall accuracy of 76.45 % and kappa accuracy of 57 %) of the built-up density percentage than other remotely sensed indices. Evidence on built

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Pang, Haiyu, Tangdi Lin, Qing Liu, et al. "Prevalence of urinary incontinence among nulliparous women and its association with underweight body mass index: a secondary analysis of a nationwide cross-sectional study in China." BMJ Open 15, no. 5 (2025): e097807. https://doi.org/10.1136/bmjopen-2024-097807.

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Objectives To estimate the prevalence of urinary incontinence (UI) and its subtypes among nulliparous Chinese women with associated risk factors. The prevalence of UI among those living in urban or rural communities was also analysed with potential risk factors. Design This is a secondary analysis of epidemiological survey data on UI in Chinese women. The original study was designed as a nationwide cross-sectional study involving 56 460 adult women conducted from October 2019 to December 2021. Setting Seven geographic regions of China. Participants Nulliparous women who were aged ≥20 years old

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Suharyadi, R., Deha Agus Umarhadi, Disyacitta Awanda, and Wirastuti Widyatmanti. "Exploring Built-Up Indices and Machine Learning Regressions for Multi-Temporal Building Density Monitoring Based on Landsat Series." Sensors 22, no. 13 (2022): 4716. http://dx.doi.org/10.3390/s22134716.

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Uncontrolled built-up area expansion and building densification could bring some detrimental problems in social and economic aspects such as social inequality, urban heat islands, and disturbance in urban environments. This study monitored multi-decadal building density (1991–2019) in the Yogyakarta urban area, Indonesia consisting of two stages, i.e., built-up area classification and building density estimation, therefore, both built-up expansion and the densification were quantified. Multi sensors of the Landsat series including Landsat 5, 7, and 8 were utilized with some prior corrections t

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Chen, Min, Yu Jiang, Endong Wang, Yi Wang, and Jun Zhang. "Measuring Urban Infrastructure Resilience via Pressure-State-Response Framework in Four Chinese Municipalities." Applied Sciences 12, no. 6 (2022): 2819. http://dx.doi.org/10.3390/app12062819.

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Urban infrastructure (UI), subject to ever-increasing stresses from artificial activities of human beings and natural disasters due to climate change, assumes a key role in modern cities for maintaining their functional operations. Therefore, understanding UI resilience turns essential. Based on the Pressure-State-Response (PSR) model, this paper built a comprehensive evaluation index system for urban infrastructure resilience evaluation. Four municipalities, including Beijing, Tianjin, Shanghai, and Chongqing in China, were selected for the case study, given their specific significance in ter

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Niklas, Ulrich, Sascha von Behren, Tamer Soylu, Johanna Kopp, Bastian Chlond, and Peter Vortisch. "Spatial Factor—Using a Random Forest Classification Model to Measure an Internationally Comparable Urbanity Index." Urban Science 4, no. 3 (2020): 36. http://dx.doi.org/10.3390/urbansci4030036.

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Travel behavior can be determined by its spatial context. If there are many shops and restaurants in close proximity, various activities can be done by walking or cycling, and a car is not needed. It is also more difficult (e.g., parking space, traffic jams) to use a car in high-density areas. Overall, travel behavior and dependencies on travel behavior are influenced by urbanity. These relationships have so far only been examined very selectively (e.g., at city level) and not in international comparison. In this study we define an Urbanity Index (UI) at zip code level, which considers factors

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Guha, Subhanil, and Himanshu Govil. "An analytical study on urban indices and land surface temperature." Journal of Environmental Engineering and Landscape Management 32, no. 3 (2024): 231–40. http://dx.doi.org/10.3846/jeelm.2024.21835.

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Any urban landscape needs to investigate the rising trend of land surface temperature (LST) with its surface materials. The present study analyzes the relationship of LST with three urban indices namely normalized difference built-up index (NDBI), urban index (UI), and built-up index (BUI) (by Pearson correlation coefficient method) using nine Landsat 8 OLI and TIRS data of May from 2013 to 2021 in a tropical Indian city, Raipur. Results show that the mean LST of the city was above 40 oC in 2013 but it is controlled in successive years by executing some eco-friendly activities. All the indices

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Celemin, Juan Pablo, and Maria Eugenia Arias. "Relationship between densification and NDVI loss. A study using the Google Earth Engine at local scale." Environmental & Socio-economic Studies 10, no. 3 (2022): 33–42. http://dx.doi.org/10.2478/environ-2022-0015.

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Abstract Latin American cities are amongst those with the highest rates of urbanization in the world. This process has involved their territorial expansion as well as the densification of some of its neighborhoods, in mainly central areas. This is the case of the city of Santiago del Estero (Argentina) that increased its population by 33% between 1991 and 2010 with the consequent transformations of the local space. In this context, this study analyzes the evolution of vegetated areas and densification of the central area of the city using satellite data. We analyzed two indices: normalized dif

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Mushore, Terence Darlington, John Odindi, and Onisimo Mutanga. "Controls of Land Surface Temperature between and within Local Climate Zones: A Case Study of Harare in Zimbabwe." Applied Sciences 12, no. 24 (2022): 12774. http://dx.doi.org/10.3390/app122412774.

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Urban growth-related changes in land use and land cover have segmented urban areas into zones of distinct surface and air temperatures (i.e., Local Climate Zones—LCZ). While studies have revealed inter-LCZ temperature variations, understanding controls of variations in Land Surface Temperature (LST) within LCZs has largely remained uninvestigated. In view of the need for LCZ-specific heat mitigation strategies, this study investigated factors driving LST variations within LCZs. To achieve this, an LCZ map for Harare was developed and correlated with LST, both derived using Landsat 8 data. The

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Puspita, Rafika Tri, Ifan Deffinika, Purwanto, and Ike Sari Astuti. "Spatiotemporal on Built-Up Area and Population towards Urban Sprawl in Malang City using Google Earth Engine." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 24, no. 2 (2024): 140–53. https://doi.org/10.21009/spatial.242.005.

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Malang City is the second-most populous city in East Java after Surabaya City. In addition, development in Malang City in recent years has also impacted changes in land use and land cover. The methods used in this research are: 1) built-up area index (EBBI, NDBI, and UI) of Malang City from 2019 to 2023; 2) dasymetric density; 3) distance measurement; and 4) gradient direction. The results of the calculation of the built-up area index show that UI has an average kappa accuracy of 0.75, which is higher than the other two indices. In 2019–2020, the built-up area of Malang City decreased, while i

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Wibowo, Adi, Khairulmaini Osman Salleh, and Adi Wibowo. "Spatial Temporal Analysis of Urban Heat Hazard on Education Area (University of Indonesia." Indonesian Journal of Geography 49, no. 1 (2017): 1. http://dx.doi.org/10.22146/ijg.11821.

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As education area, campus or university is full with various activities which have an impact on the existence of land-use or land-cover. The variation of activities dynamically change the shape of land-use or land-cover within the campus area, thus also create variations in Land Surface Temperature (LST). The LST are impacting the coziness of human activity especially when reaches more than 30 oC. This study used the term Urban Heat Signature (UHS) to explain LST in different land-use or land-cover types. The objective of this study is to examine UHS as an Urban Heat Hazard (UHH) based on Univ

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Joko Prasetyo, Sri Yulianto, Bistok Hasiholan Simanjuntak, Yeremia Alfa Susatyo, and Wiwin Sulistyo. "A machine learning-based computer model for the assessment of tsunami impact on built-up indices using 2A Sentinel imageries." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 1138–46. http://dx.doi.org/10.11591/eei.v13i2.5910.

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This study aims to build a computer model to detect built-up land in the identified tsunami hazard zone based on Sentinel 2A imagery using the normalized built up area index (NBI), urban index (UI), normalize difference build-up index (NDBI), a modified built-up index (MBI), index-based builtup index (IBI) algorithms, optimized with machine learning Random Forest (RF) and extreme gradient boosting (XGboost) algorithms and the spatial patterns are predicted using the ordinary kriging (OK) method. Testing of the accuracy of the classification and optimization results was performed using the Kohe

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Anbardar, Mohammad Hossein, Afruz Afshari, and Mohammad Javad Ashraf. "Evaluation of Urinary Iodine by Sandell-kolthoff Reaction Method in Urban and Rural Children Referring to the Shiraz Shahid Motahari Clinic and Village of Marvdasht City in 2016 and 2017." Jundishapur Journal of Medical Sciences 20, no. 3 (2021): 272–79. http://dx.doi.org/10.32598/jsmj.20.3.2046.

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Background and Objectives: Iodine deficiency affects the population of all age groups, but neonates, infants, pregnant women, and school children constitute the most vulnerable groups. Disorders caused by iodine deficiency are among the major health-nutritional problems in Iran. Because of the importance of this matter, the present study was done to evaluate the status of urinary iodine in 6-16 years old children in urban and rural areas and to compare measurement indices of urinary iodine. Subjects and Methods In this cross-sectional descriptive study, we included 230 6-16 years old children,

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Khudrin, Khudrin, Nurgiantoro Nurgiantoro, Ahmad Hidayat, Laode Muhammad Golok Jaya, Boi Herman, and Shivneel Kumar. "Spatio-Temporal Analysis of Thermal Comfort in High-Density Residential Areas in the Urban Region of Unaaha." Sustainability (STPP) Theory, Practice and Policy 5, no. 1 (2025): 1–14. https://doi.org/10.30631/sdgs.v5i1.3131.

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Thermal comfort plays a vital role in the health, productivity, and well-being of urban communities and serves as a critical indicator in sustainable urban planning. This study aims to analyze thermal comfort levels in dense residential areas and planned residential zones within the Unaaha urban area, using satellite data from two specific years, 2014 and 2024, selected to capture a decade of urban change. The methodology employs Landsat 8 OLI/TIRS imagery complemented by shapefile data of planned residential areas in Unaaha District, providing spatial context for detailed analysis. The spatia

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Khudrin, Khudrin, Nurgiantoro Nurgiantoro, Ahmad Hidayat, Laode Muhammad Golok Jaya, Boi Herman, and Shivneel Kumar. "Spatio-Temporal Analysis of Thermal Comfort in High-Density Residential Areas in the Urban Region of Unaaha." Sustainability (STPP) Theory, Practice and Policy 5, no. 1 (2025): 1–14. https://doi.org/10.30631/ps6zz351.

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Thermal comfort plays a vital role in the health, productivity, and well-being of urban communities and serves as a critical indicator in sustainable urban planning. This study aims to analyze thermal comfort levels in dense residential areas and planned residential zones within the Unaaha urban area, using satellite data from two specific years, 2014 and 2024, selected to capture a decade of urban change. The methodology employs Landsat 8 OLI/TIRS imagery complemented by shapefile data of planned residential areas in Unaaha District, providing spatial context for detailed analysis. The spatia

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Nissa, Hairun, Robby Irsan, and Muhammad Pramulya. "Pendeteksian ISA (Impervious Surface Area) Sebagai Analisis Dampak Lingkungan di Daerah Kecamatan Sungai Raya, Kabupaten Kubu Raya." Jurnal Ilmu Lingkungan 22, no. 1 (2023): 1–10. http://dx.doi.org/10.14710/jil.22.1.1-10.

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Peningkatan kawasan ISA (Impervious Surface Area) di Kecamatan Sungai Raya dalam 30 tahun terakhir menunjukkan peningkatan yang cukup pesat. Satelit Landsat dan indeks wilayah terbangun, mampu mendeteksi perubahan tutupan lahan ISA di Kecamatan Sungai Raya. Satelit Landsat mampu mendeteksi perubahan tutupan lahan di Kecamatan Sungai Raya secara temporal dengan menggunakan beberapa generasi, yaitu Landsat 5 TM, Landsat 7 ETM+, dan Landsat 8 OLI/TIRS. Untuk mengetahui ISA, digunakan indeks wilayah terbangun IBI (Index Based Built-Up Index), NDBI (Normalized Difference Built-Up Index), dan UI (Ur

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Hornung, Elisabeth, Andrea Kásler, and Zsolt Tóth. "The role of urban forest patches in maintaining isopod diversity (Oniscidea)." ZooKeys 801 (December 3, 2018): 371–88. http://dx.doi.org/10.3897/zookeys.801.22829.

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Compositional changes in natural communities associated with anthropogenic influence often lead to localised extinctions and biodiversity loss. Soil invertebrates are also threatened by urbanisation due to habitat fragmentation, vegetation changes and management, soil alteration, degradation, and disappearing shelter sites. The aim was to assess terrestrial isopod (Oniscidea) assemblages in differently degraded urban forest patches of a metropolitan area (Budapest, Hungary). Study sites were compared by their species richness, composition and the relevant background factors (soil properties, d

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Hornung, Elisabeth, Andrea Kásler, and Zsolt Tóth. "The role of urban forest patches in maintaining isopod diversity (Oniscidea)." ZooKeys 801 (December 3, 2018): 371–88. https://doi.org/10.3897/zookeys.801.22829.

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Compositional changes in natural communities associated with anthropogenic influence often lead to localised extinctions and biodiversity loss. Soil invertebrates are also threatened by urbanisation due to habitat fragmentation, vegetation changes and management, soil alteration, degradation, and disappearing shelter sites. The aim was to assess terrestrial isopod (Oniscidea) assemblages in differently degraded urban forest patches of a metropolitan area (Budapest, Hungary). Study sites were compared by their species richness, composition and the relevant background factors (soil properties, d

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Bose, S., A. Mazumdar, and S. Basu. "Monitoring Change in Urbanization and Green Space for Eastern Indian Cities in 30 Years-A Comparison between Kolkata and Bhubaneswar." IOP Conference Series: Earth and Environmental Science 1164, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1755-1315/1164/1/012013.

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Abstract Advancement in technology has made a new sphere of geospatial exploration. Application of geoinformatics in Landuse and Landcover study has made quantitative analysis most clear. Urbanization process is an inevitable factor in developing countries like India. Last 30 years eastern India has also been changed itself in terms of urban development. Kolkata and Bhubaneswar are two most important cities in eastern India where urban growth has taken place rapidly. Landuse and landcover pattern has also changed here with time. Urbanization process of both cities has been identified using sat

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Fernández-Maldonado, Viviana, Ana Laura Navas, María Paula Fabani, Germán Mazza, and Rosa Rodríguez. "A Multi-Temporal Analysis on the Dynamics of the Impact of Land Use and Land Cover on NO2 and CO Emissions in Argentina for Sustainable Environmental Management." Sustainability 16, no. 11 (2024): 4400. http://dx.doi.org/10.3390/su16114400.

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This study presents an analysis of NO2 and CO emissions in Argentina, utilizing remote sensing data. This research aims to determine the spatiotemporal distribution of NO2 and CO emissions from 2019 to 2021. It examines the influence of land use and cover on NO2 and CO emissions using various climatic, anthropic, and natural indicators. The year with the highest CO and NO2 concentration was 2020. NO2 exhibited the highest concentrations in built-up urban areas and croplands, notably impacting the capital city and the northern region of Buenos Aires province. Also, CO concentration was influenc

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Tariq, Aqil, and Hong Shu. "CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan." Remote Sensing 12, no. 20 (2020): 3402. http://dx.doi.org/10.3390/rs12203402.

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Cellular Automata models are used for simulating spatial distributions and Markov Chain models are used for simulating temporal changes. The main aim of this study is to investigate the effect of urban growth on Faisalabad. This research is aimed at predicting seasonal Land-Surface-Temperature (LST) as well as Land-Use and Land-cover (LULC) with a Cellular-Automata-Markov-Chain (CA-Markov-Chain). Landsat 5, 7 and 8 data were used for mapping seasonal LULC and LST distributions during the months of May and November for the years 1990, 1998, 2004, 2008, 2013 and 2018. A CA-Markov-Chain was devel

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Putrika, Afiatry, Andi Salamah, Mega Atria, et al. "BRYOPHYTE DIVERSITY AND ATMOSPHERIC POLLUTION IN A RESIDENTIAL AREA AND AN INDUSTRIAL URBAN FOREST IN JAKARTA, INDONESIA." BIOTROPIA 30, no. 3 (2023): 355–64. http://dx.doi.org/10.11598/btb.2023.30.3.1960.

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Bryophytes are nonvascular plants that have simple structures that are sensitive to environmental changes, and they can, therefore be used as indicators of air quality. The presence of bryophytes in disturbed urban ecosystems, such as residential and industrial areas, indicates that their structures have adapted to survive in such areas. The objective of this study was to compare the bryophyte diversity and air quality indices between a residential area and an industrial area in Jakarta. The research was conducted in the Bona Indah residential area in South Jakarta and the Jakarta Industrial E

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Fleming, Saroj, Selma Amrane, Gautam G. Rao, and Sarah Madhu Temkin. "Geographic disparities in care: The Maryland gynecologic oncology experience." Journal of Clinical Oncology 30, no. 15_suppl (2012): e16546-e16546. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.e16546.

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e16546 Background: Women with gynecologic malignancies require highly specialized care that is often unavailable at local centers. Prior reports have suggested that distance from residence to treatment facility is a barrier to care. We hypothesize that insurance status influences the distance women travel to receive gynecologic cancer care. Methods: Patients with incident gynecologic cancer diagnoses at a single urban, academic Institution were identified. Distance from the patients’ homes to the hospital was calculated in miles as well as time. Insurance status at diagnosis was captured as pr

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Abidin, Muhammad Rais, and Amal Arfan. "Detection of Development and Density Urban Build-Up Area with Satellite Image Overlay." International Journal of Environment, Engineering & Education 1, no. 2 (2019): 40–45. https://doi.org/10.5281/zenodo.3369481.

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The growth dynamics of urban areas and the increase in land requirements are a series of each other influence each other The method used in this study is a quantitative method through spatial analysis using Geographic Information Systems. The purpose of this study was to see the extent to which the development of urban areas using the Urban Index (UI) method. Data analysis carried out by overlapping techniques using a map of the built area of Land Use in 2013 and the results of image interpretation for the built area in 2017. The results of the study showed that there was a percentage increase

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Firozjaei, Sedighi, Kiavarz, Qureshi, Haase, and Alavipanah. "Automated Built-Up Extraction Index: A New Technique for Mapping Surface Built-Up Areas Using LANDSAT 8 OLI Imagery." Remote Sensing 11, no. 17 (2019): 1966. http://dx.doi.org/10.3390/rs11171966.

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Accurate built-up area extraction is one of the most critical issues in land-cover classification. In previous studies, various techniques have been developed for built-up area extraction using Landsat images. However, the efficiency of these techniques under different technical and geographical conditions, especially for bare and sandy areas, is not optimal. One of the main challenges of built-up area extraction techniques is to determine an optimum and stable threshold with the highest possible accuracy. In many of these techniques, the optimum threshold value fluctuates substantially in dif

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Chowdhury, Tahmid Anam, and Md Saiful Islam. "Assessing and Simulating Impacts of Land Use Land Cover Changes on Land Surface Temperature in Mymensingh City, Bangladesh." Environment and Natural Resources Journal 20, no. 2 (2021): 1–19. http://dx.doi.org/10.32526/ennrj/20/202100110.

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Urban developments in the cities of Bangladesh are causing the depletion of natural land covers over the past several decades. One of the significant implications of the developments is a change in Land Surface Temperature (LST). Through LST distribution in different Land Use Land Cover (LULC) and a statistical association among LST and biophysical indices, i.e., Urban Index (UI), Bare Soil Index (BI), Normalized Difference Builtup Index (NDBI), Normalized Difference Bareness Index (NDBaI), Normalized Difference Vegetation Index (NDVI), and Modified Normalized Difference Water Index (MNDWI), t

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Falah, Nadia, Jaime Solis-Guzman, and Nahid Falah. "Thermal Footprint of the Urbanization Process: Analyzing the Heat Effects of the Urbanization Index (UI) on the Local Climate Zone (LCZ) and Land Surface Temperature (LST) over Two Decades in Seville." Land 13, no. 11 (2024): 1877. http://dx.doi.org/10.3390/land13111877.

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Urbanization is a multifaceted process characterized by changes in urban areas through various means, such as sprawl, ribbon development, or infill and compact growth. This phenomenon changes the pattern of the local climate zone (LCZ) and significantly affects the climate, vegetation dynamics, energy consumption, water resources, and public health. This study aims to discern the impacts of changes in urban growth on the LCZ and land surface temperature (LST) over a two-decade period. A comprehensive methodology that integrates statistical analysis, data visualization, machine learning, and ad

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Derakhshan, Sahar, Susan L. Cutter, and Cuizhen Wang. "Remote Sensing Derived Indices for Tracking Urban Land Surface Change in Case of Earthquake Recovery." Remote Sensing 12, no. 5 (2020): 895. http://dx.doi.org/10.3390/rs12050895.

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The study of post-disaster recovery requires an understanding of the reconstruction process and growth trend of the impacted regions. In case of earthquakes, while remote sensing has been applied for response and damage assessment, its application has not been investigated thoroughly for monitoring the recovery dynamics in spatially and temporally explicit dimensions. The need and necessity for tracking the change in the built-environment through time is essential for post-disaster recovery modeling, and remote sensing is particularly useful for obtaining this information when other sources of

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Abidin, Muhammad Rais, and Amal Arfan. "Detection of Development and Density Urban Build-Up Area with Satellite Image Overlay." International Journal of Environment, Engineering and Education 1, no. 2 (2019): 40–45. http://dx.doi.org/10.55151/ijeedu.v1i2.12.

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The growth dynamics of urban areas and the increase in land requirements are a series of each other influence each other The method used in this study is a quantitative method through spatial analysis using Geographic Information Systems. The purpose of this study was to see the extent to which the development of urban areas using the Urban Index (UI) method. Data analysis carried out by overlapping techniques using a map of the built area of Land Use in 2013 and the results of image interpretation for the built area in 2017. The results of the study showed that there was a percentage increase

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Ma, Yunfei, Yusuyunjiang Mamitimin, Bahejiayinaer Tiemuerbieke, et al. "Spatiotemporal Characteristics and Influencing Factors of Urban Heat Island Based on Geographically Weighted Regression Model: A Case Study of Urumqi City." Land 12, no. 11 (2023): 2012. http://dx.doi.org/10.3390/land12112012.

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Rapid urbanization threatens the ecological environment and quality of life by significantly altering land use and land cover (LULC) and heat distribution. One of the most significant environmental consequences of urbanization is the urban heat island effect (UHI). This study investigated the spatiotemporal characteristics of the SUHI and its relationship with land use types from 2000 to 2020 in Urumqi City, located in an arid and semi-arid region of northwestern China. Additionally, the ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to quantify the

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Chen, Min, Qian Zhang, Yu Jiang, Jinpeng Wang, and Shiyao Zhu. "Evaluating the Coupling Coordination Levels and Critical Obstacle Indicators of Urban Infrastructure Resilience: A Case Study in China." Buildings 15, no. 3 (2025): 495. https://doi.org/10.3390/buildings15030495.

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Natural and man-made disasters significantly challenge the safety and stability of urban infrastructure (UI), disrupting daily operations and impeding economic development. However, existing research on urban infrastructure resilience (UIR) lacks comprehensive categorization of critical infrastructure, insufficiently considers the impacts of natural disasters, and offers limited empirical analysis of the interactions among the pressure, state, and response (PSR) dimensions. This study aims to establish a comprehensive UIR assessment index and examine the coupling coordination (CC) levels and c

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Ali, Usman, Travis J. Esau, Aitazaz A. Farooque, Qamar U. Zaman, Farhat Abbas, and Mathieu F. Bilodeau. "Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms." ISPRS International Journal of Geo-Information 11, no. 6 (2022): 333. http://dx.doi.org/10.3390/ijgi11060333.

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Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linked to its need for ground truth data to cross-validate maps. This paper aimed at evaluating the efficiency of machine learning (ML) in limiting the use of ground truth data for LULC maps. This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML al

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Ngandam Mfondoum, A. H., P. G. Gbetkom, R. Cooper, S. Hakdaoui, and M. B. Mansour Badamassi. "EXTRACTING BUILT-UP FEATURES IN COMPLEX BIOPHYSICAL ENVIRONMENTS BY USING A LANDSAT BANDS RATIO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-2-2020 (November 17, 2020): 79–85. http://dx.doi.org/10.5194/isprs-archives-xliv-m-2-2020-79-2020.

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Abstract. This paper addresses the remote sensing challenging field of urban mixed pixels on a medium spatial resolution satellite data. The tentatively named Normalized Difference Built-up and Surroundings Unmixing Index (NDBSUI) is proposed by using Landsat-8 Operational Land Imager (OLI) bands. It uses the Shortwave Infrared 2 (SWIR2) as the main wavelength, the SWIR1 with the red wavelengths, for the built-up extraction. A ratio is computed based on the normalization process and the application is made on six cities with different urban and environmental characteristics. The built-up of th

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Zheng, Limeng, Biao Cao, Qiang Na, et al. "Estimation and Evaluation of 15 Minute, 40 Meter Surface Upward Longwave Radiation Downscaled from the Geostationary FY-4B AGRI." Remote Sensing 16, no. 7 (2024): 1158. http://dx.doi.org/10.3390/rs16071158.

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Surface upward longwave radiation (SULR) is one of the four components of surface net radiation. Geostationary satellites can provide high temporal but coarse spatial resolution SULR products. Downscaling coarse SULR to a higher resolution is important for fine-scale thermal condition monitoring. Statistical regression downscaling is widely used due to its simplicity and is built on the assumption that the thermal parameter like land surface temperature (LST) or SULR has a relationship with the related surface factors like the normalized difference vegetation index (NDVI), and the relationship

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Wang, Haoyue, Chunyang Zhang, Ke Yu, et al. "Aerosol Optical Radiation Properties in Kunming (the Low–Latitude Plateau of China) and Their Relationship to the Monsoon Circulation Index." Remote Sensing 11, no. 24 (2019): 2911. http://dx.doi.org/10.3390/rs11242911.

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Based on the Langley method and the EuroSkyRad (ESR) pack retrieval scheme, we carried out the retrieval of the aerosol properties for the CE–318 sunphotometer observation data from March 2012 to February 2014 in Kunming, China, and we explored the possible mechanisms of the seasonal variations. The seasonal variation of the aerosol optical depth (AOD) was unimodal and reached a maximum in summer. The retrieval analysis of the Angstrom exponent (α) showed the aerosol types were continental, biomass burning (BB), and urban/industrial (UI); the content of the desert dust (DD) was low, and it may

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Lee, Jangho. "Assessment of U.S. Urban Surface Temperature using GOES-16 and 17 Data: Urban Heat Island and Temperature Inequality." Weather, Climate, and Society, March 20, 2024. http://dx.doi.org/10.1175/wcas-d-23-0129.1.

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Abstract This study utilizes hourly Land Surface Temperature (LST) data from the Geostationary Operational Environmental Satellite (GOES) to analyze the seasonal and diurnal characteristics of Surface Urban Heat Island Intensity (SUHII) across 120 of the largest U.S. cities and its surroundings. Distinct patterns emerge in the classification of seasonal daytime and nighttime SUHII. Specifically, vegetation index (EVI) and albedo (ALB) play pivotal roles in influencing these temperature variations. The diurnal cycle of SUHII further reveals different trends, suggesting that climate conditions,

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García, David Hidalgo, Müge Riza, and Julián Arco Díaz. "Land Surface Temperature Relationship with the Land Use/Land Cover Indices Leading to Thermal Field Variation in the Turkish Republic of Northern Cyprus." Earth Systems and Environment, March 23, 2023. http://dx.doi.org/10.1007/s41748-023-00341-5.

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AbstractThe increase in the Land Surface Temperature (LST) caused by global warming and extreme weather events is significantly increasing Urban Hot Spots (UHS) while impacting the environmental quality within urban areas. In this research, with the help of Landsat 5, 7, and 8 satellite images, the evolution of Land Use/Cover (LULC), LST, and Surface Urban Heat Island (SUHI) in the Turkish Republic of Northern Cyprus (TRNC) between the years 1985 and 2020 is examined. The main aim is to evaluate how these variables, together with the Normalized Difference Built-up Index (NDBI), Urban Index (UI

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Sari Astuti, Ike, Hetty Rahmawati Sucahyo, Imam Abdul Gani Alfarizi, and Bagus Setiabudi Wiwoho. "Assessment of Urban Mapping Index Accuracy in Relation to Physical Land Characteristics in Humid Tropical Areas." KnE Social Sciences, October 12, 2022. http://dx.doi.org/10.18502/kss.v7i16.12188.

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Settlements and built-up areas can lead to the degradation of ecological systems. Good quality and efficient regional planning is therefore needed for urban areas. Spatial data and satellite imagery can be used for mapping and monitoring urban growth. Unfortunately, mapping urban areas can sometimes be difficult due to local variations, and different algorithms can provide varying results. Urban indices often rely on remote sensing reflectance, the accuracy of which can be influenced by land characteristics. No studies have examined the impact of land characteristics on the accuracy of remote

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Syarafina, Aflah Fildzah, Aisyah Nurul Ilmi, Chelsea Indri Valencia, et al. "The influence of forest ecosystems on the well-being of surrounding communities: A philosophical perspective in eschatology through guattari’s three ecologies." Life and Death: Journal of Eschatology 2, no. 2 (2025). https://doi.org/10.61511/lad.v2i2.2025.1460.

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Background: This paper examines the influence of UI Forest on the well-being of surrounding communities through Felix Guattari’s Three Ecologies perspective. The research addresses how the presence of UI Forest as an urban green space affects the physical and mental well-being of nearby residents, particularly amid the techno-scientific transformation era that threatens ecological balance. Methods: The study employs Guattari’s Three Ecologies theory, which views ecology through three dimensions: mental, social, and environmental. Data was collected through in-depth interviews with 15 responden

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Shibre, Gebretsadik, Betregiorgis Zegeye, Bright Opoku Ahinkorah, Mpho Keetile, and Sanni Yaya. "Magnitude and trends in socio-economic and geographic inequality in access to birth by cesarean section in Tanzania: evidence from five rounds of Tanzania demographic and health surveys (1996–2015)." Archives of Public Health 78, no. 1 (2020). http://dx.doi.org/10.1186/s13690-020-00466-3.

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Abstract Background Majority of maternal deaths are avoidable through quality obstetric care such as Cesarean Section (CS). However, in low-and middle-income countries, many women are still dying due to lack of obstetric services. Tanzania is one of the African countries where maternal mortality is high. However, there is paucity of evidence related to the magnitude and trends of disparities in CS utilization in the country. This study examined both the magnitude and trends in socio-economic and geographic inequalities in access to birth by CS. Methods Data were extracted from the Tanzania Dem

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Fan, Yu, Yun Zheng, Changgeng Jia, and Youtao Song. "The impact of China's urbanization on ecosystem service value from the perspective of gross ecosystem product: a case study of Beijing-Tianjin-Hebei region." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-64655-8.

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AbstractGross ecosystem product (GEP) is an aggregate measure of the monetary value of final ecosystem services, or the direct benefits that people derive from nature. GEP can provide decision makers with clear and competing evidence of the monetary value of ecosystem services. However, the relationship between GEP and urbanization has not been clarified which is not conducive to the decision-making role of GEP in the process of urban sustainable development. This work focused on the ‘Beijing-Tianjin-Hebei’ (BTH) urban agglomeration as a case study of the dynamics of ecological production amid

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Sri, Yulianto Joko Prasetyo, Hasiholan Simanjuntak Bistok, Alfa Susatyo Yeremia, and Sulistyo Wiwin. "A machine learning-based computer model for the assessment of tsunami impact on built-up indices using 2A Sentinel imageries." Bulletin of Electrical Engineering and Informatics (BEEI) 13, no. 2 (2024). https://doi.org/10.11591/eei.v13i2.5910.

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This study aims to build a computer model to detect built-up land in the identified tsunami hazard zone based on Sentinel 2A imagery using the normalized built up area index (NBI), urban index (UI), normalize difference build-up index (NDBI), a modified built-up index (MBI), index-based builtup index (IBI) algorithms, optimized with machine learning Random Forest (RF) and extreme gradient boosting (XGboost) algorithms and the spatial patterns are predicted using the ordinary kriging (OK) method. Testing of the accuracy of the classification and optimization results was performed using the Kohe

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Huang, Chunbo, Shuangshuang Liu, Xixi Du, Yi Qin, and Lei Deng. "Chinese urbanization promoted terrestrial ecosystem health by implementing high‐quality development and ecological management." Land Degradation & Development, January 14, 2024. http://dx.doi.org/10.1002/ldr.5037.

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AbstractHigh‐quality urbanization and a healthy ecosystem are both the material basis for sustainable social development. However, the tie between terrestrial ecosystem health (TEH) and urbanization is still unclear. Therefore, we assessed the spatial and temporal dynamics of urbanization and TEH at 368 cities in China from 2000 to 2020, then explored their spatial interaction and driving mechanisms by spatial autocorrelation analysis and structural equation modeling. The results showed: (1) China's comprehensive urbanization index (UI) improved from 0.08 in 2000 to 0.10 in 2020, contributing

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Al-Badr, Ahmed, Zarqa Saleem, Ouhoud Kaddour, et al. "Prevalence of pelvic floor dysfunction: a Saudi national survey." BMC Women's Health 22, no. 1 (2022). http://dx.doi.org/10.1186/s12905-022-01609-0.

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Abstract Background Pelvic Floor Dysfunction (PFD) is a global health problem affecting millions of women worldwide and comprises a broad range of clinical dysfunctions such as urinary incontinence (UI), fecal incontinence (FI), pelvic organ prolapse (POP) vaginal laxity (VL), vaginal wind (VW), and overactive bladder (OAB). This study aims to estimate the prevalence of PFD among Saudi women attending primary health care centers (PHCCs) across 13 regions of Saudi Arabia and their characteristics along with associated factors. Methods A cross-sectional study was conducted on 2,289 non-pregnant

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Saseeka, Wijesekera Sampath Arunashantha Mangala Jayarathne. "SPACE BORNE TECHNIQUE TO IDENTIFY THE RELATIONSHIP BETWEEN VEGETATION COVER AND URBANIZATION IN THE CITY OF COLOMBO." May 25, 2019. https://doi.org/10.5281/zenodo.3273989.

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Urban vegetation coverage can be considered as one of the indicators that can be used to identify, the process of urbanization. Most of the time with rapid urbanization, vegetation coverage in a city tend to decrease. Hence, it is explicitly visible that the social background, building density and related factors to the urbanization process, have a high relationship with minimizing city vegetation coverage. There are many techniques that can be used to identify the relationship between the process of urbanization and vegetation coverage. Space borne (Remote Sensing (RS) technique) is one of th

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Rogers, Nina Trivedy, Ben Amies-Cull, Jean Adams, et al. "Health impacts of takeaway management zones around schools in six different local authorities across England: a public health modelling study using PRIMEtime." BMC Medicine 22, no. 1 (2024). http://dx.doi.org/10.1186/s12916-024-03739-8.

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Abstract Background In England, the number of takeaway food outlets (‘takeaways’) has been increasing for over two decades. Takeaway management zones around schools are an effective way to restrict the growth of new takeaways but their impacts on population health have not been estimated. Methods To model the impact of takeaway management zones on health, we used estimates of change in and exposure to takeaways (across home, work, and commuting buffers) based on a previous evaluation suggesting that 50% of new outlets were prevented from opening because of management zones. Based on previous c

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Tin, S. N. "Analysis of Enhanced Built-up and Bare Land Index (EBBI) in the Urban Area of Yangon, Myanmar." International Journal of Geoinformatics, August 1, 2021, 83–94. http://dx.doi.org/10.52939/ijg.v17i4.1957.

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In planning and reviewing changes in the ground overview data, land distribution guidelines and identification of changes are critical. The availability of free global and historical satellite images offers a valuable resource for the built-up region to be continuously and accurately mapped and tracked year by year. For thirty years of data, this study uses Landsat images to obtain substantial and land spread data that is extremely useful for urban arrangement. This paper mainly focuses on the basic extraction of the built-up area for the urban planning area every five years from the satellite

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