Urban growth dynamics and its influence on land surface temperature in Bhubaneswar metropolitan city: a 1990–2021 analysis by Monashree Panigrahi, Arabinda Sharma

“…It uses Landsat satellite imagery from Thematic Mapper (TM) and Operational Land Imager (OLI) sensors, along with correlation analysis, to assess the spatial and temporal dynamics of LULC and their influence on LST. …”
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A new index for extracting built-up land features using Landsat satellite imagery by Jellouli Amine, Chakouri Mohcine, El Hachimi Jaouad, Hajaj Soufiane, Jari Abdessamad, Adiri Zakaria

“…In light of this, a new spectral index based on pre-existing indices is suggested for the purpose of extracting built-up features in the Beni Mellal study area utilizing two Landsat-5 TM and Landsat-8 OLI images from 2013 and 2023. This time range of ten years enables the spatial and temporal monitoring of built-up surfaces. …”
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From Fields to Microclimate: Assessing the Influence of Agricultural Landscape Structure on Vegetation Cover and Local Climate in Central Europe by Jan Kuntzman, Jakub Brom

“…Using Land Parcel Information System (LPIS) data, we analyzed the landscape structure on both sides and processed eight Landsat 8 and 9 OLI/TIRS scenes from the 2022 vegetation season to calculate spectral indices (NDVI, NDMI) and microclimatic features (surface temperature, albedo, and energy fluxes). …”
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The effect of urban sprawl in emerging of transportation flows and urban air pollution in Tehran metropolitan region

“…For analysis of suburban spatial transportation have used Raw Data Intra-Urban and suburban Data in 1395 Year And for spatial analysis of air pollution (PM2.5 and PM10), have been used The raw data from sensing stations and Landsat satellite images (OLI) for three selected days in 1392, 1393, and 1395 as survey samples in the ArcGIS software. …”
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Modeling land use changes using Markov chain model and LCM model by mohammad ebrahim afifi

“…In this research, TM Landsat 4, 5 and OLI Landsat 8 images were used for 1985, 2000 and 2015 respectively, as well as topographic maps and area coverage. …”
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Spatiotemporal cooling efficiency analysis of water structures: A case study of the Beni-Haroun Dam, Algeria by Sahnoune Sara, Benharkat Sarah, Kouloughli Abderahim

“…Landsat 5TM and Landsat 8 OLI/TIR imagery from 1991 to 2022 were required and analyzed during the hottest and driest periods. …”
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A Hybrid Mangrove Identification Method by Combining the Time-Frequency Threshold of the Mangrove Index With a Random Forest Binary Classifier by Zhuokai Jian, Bin Ai, Jiali Zeng, Yuchao Sun

“…The hybrid method was applied to Landsat 8 OLI data to derive the mangrove distribution in China using Google Earth Engine. …”
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Monitoring of vegetation and land use changes process using Landsat data (Case study: Sarvestan plain) by sara kaviani ahangar, Rasool Mahdavi, gholamreza zehtabian, hamid gholami, Ashok K Chapagain

“…For this purpose, Landsat images were used for TM (1993), ETM + (2001 and 2006) and OLI / TIRS (2016). Image monitoring was performed using image differentiation, NDVI index difference and land use maps. …”
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Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images by Vahid Riahi, Parviz Zeaiean Firouzabadi, Farhad Azizpour, Parastoo Darouei

“…In this research, in order to identify and separate the lands under cultivation of the dominant crops in Lenjanat of Isfahan province, the multi-temporal images of Landsat 8 satellite, OLI sensor were used in the dates of April 17, July 6, and August 23 in 2016. …”
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assessment of land-cover change in South part of Lake Urmia using satellite imagery by Khadijeh Mikaeli Hajikandi, Behrooz Sobhani, Saeid Varamesh

“…The purpose of this study is to reveal the changes in land use/cover in the southern and southeastern parts of the basin with using 2 images for month of July of 2000 to 2017. Landsat TM and OLI data and NDVI were used for classification this study. …”
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تأثیر کاربری‌های شهری در ایجاد جزایر حرارتی (مطالعه موردی: شهر مشهد) by حسن محمودزاده, افسانه نقدبیشی, سحر مومنی

“…در این تحقیق جزایر حرارتی شهر مشهد که یکی از مهم‌ترین مراکز جمعیتی و توریستی ایران به شمار می­آید و در طول چند دهه اخیر رشد شهری سریعی داشته، موردمطالعه قرارگرفته است که با استفاده از داده‌های OLI و TIRS لندست ۸ و استفاده از الگوریتم دو پنجره بر اساس مقدار دمای سطح زمین و مقدار کسر پوشش گیاهی سطح زمین (که بر اساس شاخص پوشش گیاهی سطح زمین و پوشش گیاهی جزءبه‌جزء سطح زمین محاسبه می‌شود) نقشه طبقات حرارتی شهر مشهد محاسبه شد. …”
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THE IMPORTANCE OF MULTINATIONAL COMPANIES (MNCs) AND SMALL AND MEDIUM SIZED ENTERPRISES' (SMEs') INTERNATIONALIZATION AS BUSINESS DRIVERS IN GLOBALIZATION AND SLOWBALIZATION: MUTUA... by Anis BENABED

“…SMEs may grow by going for the internationalization process choosing the chosen suitable entry mode such as FDI in case the three conditions of the OLI model Ownership, location and internalization by Dunning (1988) are fulfilled. …”
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The impact of temporary occupation and hostilities on the water conditions of the North Crimean and Kakhovka Main Canals by K. Borovyk, S. Gapon, I. Pyshnograiev

“…The study utilised satellite imagery from Landsat 8 OLI/TIRS L2 (2013-2015) and Sentinel-2 L1C (2016-2024). …”
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Adult L1 users’ attitudes towards their proficiency in written Estonian as evidence of deep-rooted language ideologies by Kristel Algvere

“…Andmeid koguti 668 osalejalt, kelle keskmine vanus oli 48 aastat, kellest 89% olid naised ja 71% kõrgharidusega. …”
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Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach by Jahid Hasan, Md. Alif Uz Zaman, Mst Ilme Faridatul

“…We used the USGS’s cloud-free Landsat 4–5 TM and Landsat 8 OLI satellite data, with analyses performed using ENVI 5.1 and ArcGIS 10.8. …”
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Análise de mudanças na cobertura vegetal do Pará utilizando o Google Earth Engine by Laízy de Santana Azevedo, Evely Ferreira do Nascimento, Leonardo Carlos Barbosa, Willian dos Santos Ferreira, José Rubens Scatimburgo Silva, Karoline Borges

“…Foram utilizadas imagens do satélite Landsat-5/TM e Landsat-8/OLI-TIRS. Os resultados mostraram uma redução significativa na cobertura vegetal entre 1989 e 2019 principalmente na região leste do Estado. …”
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Land Use Change Detection Between Tarsus - Karataş in Lower Seyhan Plain with Spectral Angle Mapper Technique by Mamadou Traore, Senem Tekin, Tolga Çan

“…Landsat-5TM 1985, Landsat-5TM 2000 and Landsat-8 OLI 2019 satellite images with a spatial resolution of 30 m were used in the analyzes. …”
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Tracking rapid and slow ice-dammed lake changes through optical satellites and local knowledge: a case study of Tystigbreen in Norway by Jogscha Miriam Abderhalden, Kristine Katherine Bly, Ronja Lappe, Liss Marie Andreassen, Irina Rogozhina

“…We reconstruct the sequence of lake drainage events through a combination of remote sensing, ground-truthing and citizen science while scrutinising the applicability of the PlanetScope imagery vs Sentinel-2 and Landsat-8 OLI products. As opposed to the Landsat imagery that often fails to resolve even the largest glacial lakes of Tystigbreen, both PlanetScope and Sentinel-2 are helpful in identifying previously unrecognised glacial lakes and undocumented drainage events. …”
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Quantifying urbanization-induced dynamics of urban sprawl using spatial metrics method in Adama City, Ethiopia by Shimelis Sishah Dagne, Hurgesa Hundera Hirpha, Addisu Teshome Tekoye, Zenebe Reta Roba, Mitiku Badasa Moisa

“…Time series Landsat TM, ETM+, and OLI/TIRS datasets were utilized to prepare LULC maps of the study area for the years 1992, 2002, 2012, and 2022 using supervised classification technique. …”
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EVALUATING SOIL DEGRADATION IN SHWAN AND ALTUN KOPRI AREAS IN KIRKUK GOVERNORATE BY SOME SPECTRAL INDICATORS by A. E. Ibrahim, D. R Azeez

“…Spectral comparative indicators for the years (1997, 2014, 2020, 2023) were used to monitor the deterioration during these years using landsat 5 MSS, landsat 8 OLI and Arc GIS 10.4.1 software for mapping. The NDVI (low vegetation) decreased in 2023 compared to 1997, while the percentage of (medium vegetation) and (dense vegetation) in 2023 increased compared to previous years., As for the SAVI, class (very few) has decreased its area in 2023 compared to 1997, while for the rest of classes (few), (moderate), (good) and (very good), their areas have increased in 2023 compared to previous years. …”
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