Showing 41 - 60 results of 98 for search '"OLiS"', query time: 0.04s Refine Results
  1. 41

    Extents of Predictors for Land Surface Temperature Using Multiple Regression Model by R. M. Yuvaraj

    Published 2020-01-01
    “…The present study has been performed to identify the LST of the study region using Landsat 8 OLI/TIRS satellite images for two time periods in order to compare the data. …”
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  2. 42

    An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery by H.-S. Jung, S.-M. Lee, S.-M. Lee, J.-H. Kim, K. Lee

    Published 2025-01-01
    “…The normalized difference snow index and OLI band-5 reflectivity were used to differentiate between ice and open water within each selected Landsat-8 pixel. …”
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  3. 43

    Analysis of Land Use Changes In the period 2018-2005 in Nazloo District of Urmia City by Sahar Mehrran, Ali Akbar Taghilou, Khadijeh Javan

    Published 2023-09-01
    “…The purpose of this study was to detect land use changes in Nazlou district in Urmia city using Landsat TM and OLI satellite images by Object Oriented Classification. …”
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  4. 44

    Drought Monitoring during Growth Rangeland Coverage, Ardabil Province by saideh eiyni, saeide eini

    Published 2021-03-01
    “…According to the monthly rainfall data, 4 synoptic stations of Ardebil province (Ardebil, Khalkhal, Meshgin Shahr and Parsabad Moghan) during the statistical period of 2016-1996 were used to calculate drought index (SEPI) index for 4 periods of 1, 3, 6 and 9 months. Landsat TM and OLI satellite imagery was also used to prepare landslide classification maps based on the maximum probability model and calculation of vegetation indices NDVI, EVI, SAVI and LAI. …”
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  5. 45

    GIS and remote sensing based analysis for monitoring urban growth dynamics in Western Himalayan city of Dharamshala, India by Nishant Mehra, Janaki Ballav Swain

    Published 2025-01-01
    “…Maximum Likelihood Classification was performed on three Landsat 8 OLI images for 2016, 2019, and 2022 to prepare LULC thematic maps. …”
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  6. 46

    The site selection of heat islands and its adaptation to satellite imagery based on the TOPSIS model in Mashhad by Mokhtar Karami, Rahman Zandi, jalal taheri

    Published 2020-03-01
    “…In this study TM, ETM+ and OLI images were used to obtain surface temperature over the period 1987-2016. …”
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  7. 47

    Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

    Published 2021-03-01
    “…For this purpose, the images from Landsat-5 TM sensor in 1999 and Landsat 8 OLI sensor in 2017 were utilized. Then, the degraded and non-degraded forest areas were sampled in 200 locations. …”
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  8. 48

    Empirical modeling potential transfer of land cover change pa city with neural network algorithms by fatemeh mohammadyary, hamidreza pourkhabbaz, hossin aghdar, morteza Tavakoly

    Published 2018-03-01
    “…Analysis and visibility of user variations, carried out in two periods of Landsat satellite images of 2000 (ETM + sensor) and 2014 (OLI sensors), and land cover maps for each year. …”
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  9. 49

    Impact of land use and vegetation on the formation of thermal islands Case Study: Qainat City by Abdolmajid Ahmadi, ebrahim akbari, javad jamalabadi, maryam alemohammad

    Published 2022-03-01
    “…In this study, ETM and OLI were used to study the process of land use change, vegetation cover, surface temperature, and hazards caused by them in perennial seasons. …”
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  10. 50

    Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate by Tabark Y. Gehad, Nejat Q. Omer, Nada S. Abdulmajeed

    Published 2024-06-01
    “…Landsat-5 TM for 1990, Landsat-7 ETM+ for 2000, Landsat-5 TM for 2010, and Landsat-8 OLI for 2020 were used for this study. The Supervised Maximum Likelihood algorithm was utilized to categorize images into urban and non-urban areas, with accuracy rates ranging from 91.25% to 96.66% between 1990 and 2020. …”
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    Article
  11. 51

    Urinary tract infections in patients with decompensated liver cirrhosis, listed for liver transplantation by P. D. Bessonov, I. V. Borzunov, E. N. Bessonova

    Published 2018-08-01
    “…The most commen signs included leukocyturia and bacteriuria. Esсheriсhia сoli и Klebsiella pneumoniae were the most common infectious agents in liver cirrhosis patients. …”
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  12. 52

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

    Published 2025-02-01
    “…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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  13. 53

    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

    Published 2025-01-01
    “…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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  14. 54

    The effect of urban sprawl in emerging of transportation flows and urban air pollution in Tehran metropolitan region

    Published 2019-03-01
    “…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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  15. 55

    Modeling land use changes using Markov chain model and LCM model by mohammad ebrahim afifi

    Published 2020-03-01
    “…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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  16. 56

    Spatiotemporal cooling efficiency analysis of water structures: A case study of the Beni-Haroun Dam, Algeria by Sahnoune Sara, Benharkat Sarah, Kouloughli Abderahim

    Published 2024-01-01
    “…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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  17. 57

    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

    Published 2024-03-01
    “…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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  18. 58

    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

    Published 2019-03-01
    “…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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  19. 59

    assessment of land-cover change in South part of Lake Urmia using satellite imagery by Khadijeh Mikaeli Hajikandi, Behrooz Sobhani, Saeid Varamesh

    Published 2023-03-01
    “…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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  20. 60

    تأثیر کاربری‌های شهری در ایجاد جزایر حرارتی (مطالعه موردی: شهر مشهد) by حسن محمودزاده, افسانه نقدبیشی, سحر مومنی

    Published 2018-09-01
    “…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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