Relevant bibliographies by topics / TM Landsat 8 OLI

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'TM Landsat 8 OLI'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "TM Landsat 8 OLI"

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Szabó, Loránd, Márton Deák, and Szilárd Szabó. "Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary." Landscape & Environment 10, no. 2 (2016): 53–62. http://dx.doi.org/10.21120/le/10/2/1.

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Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area selection. We validated the results of all sensors to reveal which one produced the most accurate data. According to our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%).
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Dong, Ruolin, and Xiaodong Na. "Quantitative Retrieval of Soil Salinity Using Landsat 8 OLI Imagery." Applied Sciences 11, no. 23 (2021): 11145. http://dx.doi.org/10.3390/app112311145.

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Soil salinization is the main reason for declining soil quality and a reduction in agricultural productivity. We derive the spatial distribution of soil moisture from the temperature vegetation dryness index (TVDI) of Landsat TM-8 OLI images to analyze the effect of spatial heterogeneity of soil moisture on the retrieval accuracy of soil salinity. We establish five soil salinity inversion models for different soil moisture levels (drought levels) based on the canopy response salinity index (CRSI), normalized difference vegetation index (NDVI), and automatic water extraction index (AWEI) derive
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Tirani, N. R., S. Supriatna, and A. Wibowo. "Impact of the climate on fishing locations of fish Larvae in Palabuhanratu bay." IOP Conference Series: Earth and Environmental Science 1089, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1755-1315/1089/1/012004.

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Abstract The phenomenon of climate change influences primary production, food chain interactions, and distribution of fisheries species. Sukabumi Regency, especially Palabuhanratu Bay, is a fishing ground for fish larvae. Fish larvae are an essential phase in supporting the existence of fish resources. The study aims to determine the spatial distribution of fish larvae locations in Palabuhanratu Bay and analyze the relationship between the phenomenon of climate change and fish larvae locations. The variables are rainfall, salinity, sea surface temperature, currents, and tides. The phenomenon o
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Anitawati, M. Golok Jaya Laode, Saleh Fitra, and Hidayat Ahmad. "Prediksi Perubahan Penggunaan Lahan Menggunakan Citra Landsat Multiwaktu Dengan Metode Land Change Modeler." JAGAT (Jurnal Geografi Aplikasi Dan Teknologi) 3, no. 2 (2019): 42–48. https://doi.org/10.5281/zenodo.3607242.

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<strong>Abstrak͟͟ :</strong> Kota Kendari merupakan ibukota Provinsi Sulawesi Tenggara yang terletak di selatan garis khatulistiwa. Penggunaan lahan di Kota Kendari dapat dipetakan dengan menggunakan software ENVI 4.5 Penelitian ini bertujuan untuk mengetahui penggunaan lahan di Kota Kendari dengan berdasarkan citra Landsat multiwaktu dari tahun 1997 hingga&nbsp; 2007 dan 2017 dan mengetahui prediksi perubahan penggunaan lahan dalam kurun waktu 10 tahun mendatang. Proses dilakukan dengan mengolah data citra Landsat TM, dan Landsat 8 OLI/TIRS pada software ENVI 4.5. Metode yang digunakan dalam
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Nguyen, Thanh Tien. "Fractional Vegetation Cover Change Detection In Megacities Using Landsat Time-Series Images: A Case Study Of Hanoi City (Vietnam) During 1986-2019." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, no. 4 (2019): 175–87. http://dx.doi.org/10.24057/2071-9388-2019-112.

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The objective of the study is to assess changes of fractional vegetation cover (FVC) in Hanoi megacity in period of 33 years from 1986 to 2016 based on a two endmember spectral mixture analysis (SMA) model using multi-spectral and multi-temporal Landsat-5 TM and -8 OLI images. Landsat TM/OLI images were first radiometrically corrected. FVC was then estimated by means of a combination of Normalized Difference Vegetation Index (NDVI) and classification method. The estimated FVC results were validated using the field survey data. The assessment of FVC changes was finally carried out using spatial
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Taani, Aymen, and Yusra Al-Husban. "Detection of the Land Surface Temperature Changes in Ma’an Governorate using Remote Sensing Data during the Period (1990-2018)." Dirasat: Human and Social Sciences 49, no. 6 (2022): 358–66. http://dx.doi.org/10.35516/hum.v49i6:.4034.

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This paper investigates multi-temporal land surface temperature (LST) for large ungauged areas of Ma’an Governorate, Jordan, based on changes in normalized difference vegetation index (NDVI) using remotely sensed data. Five mosaic images were taken for both the 1990 and 2018 years by Landsat 5 (TM) and Landsat 8 (OLI) (path/row, 174/36- 174/37). These were used as the basic data source, where most of Ma’an Governorate has no meteorological stations. The five-mosaic images for both Landsat 5 and Landsat 8-OLI were taken in September. LST and NDVI maps have been generated to determine the change
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Wouthuyzen, Sam, and Fasmi Ahmad. "Pemetaan Mangrove Kepulauan Lease, Provinsi Maluku Menggunakan Data Multi-Temporal Dan Multi-Sensor Citra Satelit Landsat." Oseanologi dan Limnologi di Indonesia 3, no. 1 (2018): 19. http://dx.doi.org/10.14203/oldi.2018.v3i1.134.

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&lt;strong&gt;Mangrove Mapping of The Lease Islands, Maluku Province Using Multi-Temporal And Multi-Sensor Of Landsat Satellite Images.&lt;/strong&gt; Mangrove mapping in the Lease Islands, Maluku Province has been done, but using only a single date satellite image. Therefore, it is difficult to know the dynamics of their changes. The aim of this study is to map mangroves every 5 year (1985-2015) using multi-sensors (MSS, TM, ETM+ and OLI) of Landsat and field data. Supervised classification using maximum likelihood was used for classifying mangrove and other habitats, and counting their areas
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Orhan, O., and M. Yakar. "Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 285–89. http://dx.doi.org/10.5194/isprs-archives-xli-b8-285-2016.

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The main purpose of this paper is to investigate multi-temporal land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) changes of Konya in Turkey using remotely sensed data. Konya is located in the semi-arid central Anatolian region of Turkey and hosts many important wetland sites including Salt Lake. Six images taken by Landsat-5 TM and Landsat 8- OLI satellites were used as the basic data source. These raw images were taken in 1984, 2011 and 2014 intended as long-term and short-term. Firstly, those raw images was corrected radiometric and geometrically within the sc
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Orhan, O., and M. Yakar. "Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 285–89. http://dx.doi.org/10.5194/isprsarchives-xli-b8-285-2016.

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The main purpose of this paper is to investigate multi-temporal land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) changes of Konya in Turkey using remotely sensed data. Konya is located in the semi-arid central Anatolian region of Turkey and hosts many important wetland sites including Salt Lake. Six images taken by Landsat-5 TM and Landsat 8- OLI satellites were used as the basic data source. These raw images were taken in 1984, 2011 and 2014 intended as long-term and short-term. Firstly, those raw images was corrected radiometric and geometrically within the sc
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Ghodieh, Ahmed. "An Analysis on the Impact of Normalized Difference Vegetation Index (NDVI) Changes on the Land Surface Temperature (LST) using Satellite Imagery in the West Bank, Palestine." Journal of Arts and Social Sciences [JASS] 15, no. 1 (2024): 23–38. http://dx.doi.org/10.53542/jass.v15i1.6488.

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Abstract&#x0D; This study investigated the impact of the Normalized Difference Vegetation Index (NDVI) on the Land Surface Temperature (LST) in the West Bank, Palestine, using multitemporal satellite imagery. Landsat 5 TM and Landsat 8 OLI data were used in the study. The Landsat 5 TM data was acquired on March 29, 2001, while the Landsat 8 OLI data was acquired on April 05, 2021. The NDVI and the LST for the two images were then calculated from the two images using ArcGIS 10.8 software. Results of the study showed that the NDVI of the 2021 image was much higher than that of the 2001 image. Th
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Dissertations / Theses on the topic "TM Landsat 8 OLI"

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Almonacid, Caballer Jaime. "Obtención de líneas de costa con precisión sub-píxel a partir de imágenes Landsat (TM, ETM + y OLI)." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48462.

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En esta tesis se presenta un método y una serie de herramientas informáticas para obtener automáticamente la posición de líneas de costa partiendo de imágenes registradas por los satélites Landsat (5,7 y 8) con un nivel de precisión cercano a 5,5 m (EMC). Para conseguirlo se han resuelto tres cuestiones: (i) la definición de un algoritmo de extracción automática de la línea de costa a nivel subpíxel, (ii) la georreferenciación de las sucesivas imágenes también a nivel sub-píxel y (iii) la adaptación específica a los distintos tipos de imágenes Landsat. El método desarrollado se sustenta
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Gomes, Ana Carolina Campos [UNESP]. "Retrieval of euphotic zone and Secchi disk depth in Bariri reservoir using OLI/Landsat-8 data." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/153657.

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Submitted by Ana Carolina Campos Gomes (carol.campos01@hotmail.com) on 2018-04-20T17:35:54Z No. of bitstreams: 1 AnaCarolina.pdf: 2801427 bytes, checksum: 1809e31f1376c275f1b3a1c9eca5cf6f (MD5)<br>Approved for entry into archive by Claudia Adriana Spindola null (claudia@fct.unesp.br) on 2018-04-20T19:06:20Z (GMT) No. of bitstreams: 1 gomes_acc_me_prud.pdf: 2801427 bytes, checksum: 1809e31f1376c275f1b3a1c9eca5cf6f (MD5)<br>Made available in DSpace on 2018-04-20T19:06:20Z (GMT). No. of bitstreams: 1 gomes_acc_me_prud.pdf: 2801427 bytes, checksum: 1809e31f1376c275f1b3a1c9eca5cf6f (MD5) Pre
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Gomes, Ana Carolina Campos. "Retrieval of euphotic zone and Secchi disk depth in Bariri reservoir using OLI/Landsat-8 data /." Presidente Prudente, 2018. http://hdl.handle.net/11449/153657.

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Orientador: Enner Herenio de Alcântara<br>Banca: Nilton Nobuhiro Imai<br>Banca: Milton Kampel<br>Resumo: O presente trabalho teve como objetivo estimar as profundidades da zona eufótica (Zeu) e do disco de Secchi (ZSD) a partir do coeficiente de atenuação da luz (kd) utilizando dados do sensor Operational Land Imager (OLI)/Landsat-8 no reservatório de Bariri. Como importantes parâmetros de medida da claridade da água, kd, Zeu e ZSD são afetados pelas substâncias opticamente significativas (SOS). A caracterização óptica do reservatório foi realizada a partir de duas campanhas de campo realizada
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Castro, Paulo Henrique Marques de. "Potencial das imagens Landsat 8/Oli na detecção de componentes opticamente ativos no rio Tibagi/PR." Universidade Estadual de Londrina. Centro de Ciências Exatas. Programa de Pós-Graduação em Geografia, 2017. http://www.bibliotecadigital.uel.br/document/?code=vtls000212618.

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Os recentes avanços na tecnologia de sensoriamento remoto proporcionaram o desenvolvimento de sensores orbitais com diferentes características de resoluções e de potenciais em discriminar componentes da matéria, inclusive presentes na água. Atualmente, ainda não foi muito explorado a aplicação de imagens de sensores orbitais multiespectrais de média resolução espacial e espectral, em estudos da qualidade d?água, principalmente de ambientes aquáticos lóticos. A avaliação de componentes opticamente ativos (COAs) por sensoriamento remoto, pode ser continuamente aplicada para o monitoramento da qu
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Bernardo, Nariane Marselhe Ribeiro. "A semianalytical algorithm to retrieve the suspended particulate matter in a cascade reservoir system with widely differing optical properties /." Presidente Prudente, 2019. http://hdl.handle.net/11449/190950.

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Orientador: Enner Herenio de Alcântara<br>Resumo: O Material Particulado em Suspensão (MPS) é o principal componente em sistemas aquáticos. Elevadas concentrações de MPS implicam na atenuação da luz, e ocasionam alterações das taxas fotossintéticas. Além disso, a presença de MPS no sistema aquático pode aumentar os níveis de turbidez, absorver poluentes e podem ser considerados como um indicativo de descargas de escoamento superficial. Portanto, monitorar as concentrações de MPS é essencial para a gerar informações técnicas que subsidiem o correto manejo dos recursos aquáticos, prevenindo cola
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Montibeller, Bruno. "Análise espectro-temporal das culturas de milho, soja e cana-de-açúcar com dados de sensor OLI/Landsat-8." Instituto Nacional de Pesquisas Espaciais (INPE), 2018. http://urlib.net/sid.inpe.br/mtc-m21c/2018/04.05.12.40.

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A agricultura, além de provedora de alimentos e energia, é uma das atividades econômicas de maior destaque nas exportações brasileiras. Produtos derivados da soja, do milho e da cana-de-açúcar são alguns exemplos de mercadorias agrícolas exportadas. Assim, informações relacionadas à área plantada e à produção destas culturas são essenciais, uma vez que isso afeta a cotação destes produtos. A adoção de dados de sensoriamento remoto para pesquisas em áreas agrícolas se apresenta como uma alternativa viável e complementar aos métodos atuais de levantamento, fornecendo informações atualizadas e de
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Tebaldi, Charles. "Relação entre parâmetros de qualidade de água e dados do sensor OLI, Landsat 8, no Guaíba, Rio Grande do Sul, Brasil." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/134699.

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A bacia hidrográfica do Guaíba possui uma área de 2.253 km² e apresenta uma população de mais de um milhão de habitantes, a grande maioria concentrada na região metropolitana de Porto Alegre. Estudos apontam um elevado nível de poluição nas suas águas, deixando-as longe das condições sanitárias adequadas. A utilização de técnicas de sensoriamento remoto para o gerenciamento de rios e lagoas se baseia no fato de que a descarga de sedimentos, a eutrofização e o aumento na produtividade de algas estão associadas às mudanças nas propriedades ópticas da camada superficial do corpo de água. O objeto
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Safaee, Samira. "Developing global dataset of salt pans and salt playas using Landsat-8 imagery: a case study of western North America." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/38558.

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Master of Arts<br>Department of Geography<br>Jida Wang<br>Monitoring salt pans is important especially for agricultural management in arid or semi-arid regions because salt pans can negatively affect human life, wildlife, and ecology. Some of the harmful impacts of salt pans are accelerated desertification, cropland loss, economic downturn, wildlife loss, and forced migration of humans and animals due to salt storms. Spectral salt pan indices based upon remotely sensed data (using spectral properties of Landsat-8 imagery) suggested in previous studies vary by location. In other words, the spec
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Yépez, Figueroa Santiago Paul. "Etude intégrée de la dynamique des flux hydrosédimentaires dans le bas cours du fleuve Orénoque (Venezuela) par mesures in-situ et télédétection." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30167/document.

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L'objectif principal de cette thèse est d'étudier la dynamique des flux hydrosédimentaires dans le bas cours de l'Orénoque à partir de la mise en œuvre de diverses techniques qui combinent directement la mesure des données in situ et la modélisation par séries chronologiques d'images satellites. Cette thèse aborde pour la première fois trois méthodologies complémentaires pour analyser les flux hydrosédimentaires dans les grands fleuves : (i) un algorithme d'inversion robuste pour l'estimation de MES à l'aide de données Landsat-8(OLI)permet de suivre de façon systématique et fiable les variatio
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Alba, Elisiane. "CARACTERIZAÇÃO ESPECTRAL DOS DOSSÉIS E ESTIMATIVA DE VARIÁVEL BIOFÍSICA EM PLANTIOS DE Eucalyptus grandis e Pinus elliottii A PARTIR DE IMAGENS LANDSAT 8/OLI." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/8781.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The area occupied by planted forests has increased significantly in the country, especially with Eucalyptus and Pinus genus. However, the means of determining of dendrometric variables the field are costly, require time and covers small areas. Thus, the orbital products applied in estimating the biophysical variables constitute an important source of data, which facilitate the process of acquiring information of the canopies, being useful, especially, in the planning in order to optimize productivity. This manner, this study aims e
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Book chapters on the topic "TM Landsat 8 OLI"

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Gadal, Sébastien, Mounir Oukhattar, Jūratė Kamičaitytė, Moisei Zakharov, Walid Ouerghemmi, and Ismaguil Hanadé Houmma. "Multiscale and Multi-Temporal Simulation of Change of Urban Structures in the Subarctic East Siberian Metropolis of Yakutsk." In The Urban Book Series. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77752-3_23.

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Abstract In the last twenty years, the Metropolis of Yakutsk has experienced significant changes characterised by intense urban growth, densification, and urban structure changes in a complex geographical environment: extremely low temperature during six to seven months, impacts of permafrost dynamics and relative melting, seasonal exposure to ice breakup on the suburban areas. The urban structure and land-use changes conditioned by the urban growth and environmental impacts are analysed at two geographic scales: the meso-urban level with the use of the Landsat-5 TM, Landsat-8 OLI, and Sentine
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Song, Tingxi, Liming Gao, Lele Zhang, Yankun Li, and Guangrui Zhu. "Image Classification Based on Sentinel-1A and Landsat 8 OLI." In Lecture Notes on Data Engineering and Communications Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5854-9_12.

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Ding, Jie, Xiaodong Na, and Xingmei Li. "Wetland Classification Using Sparse Spectral Unmixing Algorithm and Landsat 8 OLI Imagery." In Spatial Data and Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85462-1_17.

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Al-Kasoob, Ghadeer F., Ahmed H. Al-Sulttani, Ayad M. Fadhil Al-Quraishi, and Ragad N. Hussein. "Monitoring Drifting Sand Using Spectral Index and Landsat TM/OLI Datasets in Bahr An-Najaf Area, Iraq." In Earth and Environmental Sciences Library. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58315-5_12.

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Mukherjee, Jit, Jayanta Mukherjee, and Debashish Chakravarty. "Automated Detection of Mine Water Bodies Using Landsat 8 OLI/TIRS in Jharia." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8697-2_45.

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Wang, Hengyang, Hongzhao Tang, Honggeng Zhang, and Chen Hui. "Radiometric Cross-Calibration of GF1-B/C/D Satellite with Landsat-8 OLI." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8202-6_26.

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Bui, Quynh Duy, Hang Ha, Truong Xuan Tran, and Chinh Luu. "Evaluating Surface Water Salinity Indicators from Landsat-8 OLI Imagery Using Machine Learning." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71000-1_12.

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Hassani, Mohamed, Moulley Charaf Chabou, Mohamed Hamoudi, and Zoubida Nemer. "Volcanic and Impact Structure Identification and Discrimination Through Landsat 8 OLI Image Analysis." In Regional Geology Reviews. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-319-70250-6_7.

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Yang, Yu, Hong Zheng, and Hao Chen. "Automated Cloud Detection Algorithm for Multi-spectral High Spatial Resolution Images Using Landsat-8 OLI." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47791-5_44.

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Mukherjee, Jit, Jayanta Mukherjee, and Debashish Chakravarty. "Detection of Coal Seam Fires in Summer Seasons from Landsat 8 OLI/TIRS in Dhanbad." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0020-2_46.

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Conference papers on the topic "TM Landsat 8 OLI"

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Nagaraj, R., and Lakshmi Sutha Kumar. "Development of Ratio Water Index for Surface Water Mapping using Landsat 8 OLI Imagery." In 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T). IEEE, 2025. https://doi.org/10.1109/icpc2t63847.2025.10958677.

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Angal, Amit, Nischal Mishra, Xiaoxiong Xiong, and Dennis Helder. "Cross-calibration of Landsat 5 TM and Landsat 8 OLI with Aqua MODIS using PICS." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2014. http://dx.doi.org/10.1117/12.2062165.

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Мыльникова, Т. А., А. Ю. Боровлёв, В. В. Елсаков, and В. М. Щанов. "THE COMPARISON OF SPECTRAL INDICATORS OF INDIGENOUS COMMUNITIES OF THE MIDDLE TAIGA FOR ASSESSMENT OF CLIMATIC TRANSFORMATIONS." In Лесные экосистемы в условиях изменения климата: биологическая продуктивность и дистанционный мониторинг. Crossref, 2023. http://dx.doi.org/10.25686/foreco.2023.84.59.003.

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В статье представлены результаты анализа межгодовых изменений спектральных индексов NDVI и EVI, показателей сомкнутости крон участка старовозрастных заболоченных лесов средней тайги временного интервала 1985-2022 гг. Для анализа использовали временные ряды спутниковых изображений Landsat (сенсоры TM, ETM+ и OLI) и Terra-MODIS. Участки лесных массивов характеризовались стабильными величинами показателей сомкнутости (порядка 80-90 %). Для смежных территорий наибольший рост (2-3 % в год) наблюдали для участка восстанавливающейся гари (18.07.1973). Отмечен слабый тренд роста индекса NDVI. Формиров
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"UTILIZAÇÃO DE IMAGENS DO TM/LANDSAT-5 E OLI/LADSAT-8 NO MONITORAMENTO DO ESPELHO D’ÁGUA NO AÇUDE CASTANHÃO." In II Simpósio Brasileiro de Recursos Naturais do Semiárido. Associação COMVERGIR Sustentável, 2015. http://dx.doi.org/10.18068/iisbrns2015.geoap309.

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Cui, Zhaoyu, John Kerekes, and John R. Schott. "Validation of landsat-8 OLI image simulation." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127674.

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Hasituya, Zhong-xin Chen, Wen-bin Wu, and Huang Qing. "Monitoring plastic-mulched farmland using Landsat-8 OLI imagery." In 2015 Fourth International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2015. http://dx.doi.org/10.1109/agro-geoinformatics.2015.7248093.

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Izzati Binti Yacob, Nur Aina, Amir Sharifuddin Bin Ab Latip, and Saiful Aman Bin Haji Sulaiman. "Crop Monitoring of Paddy Field Using Landsat 8 OLI." In 2021 7th International Conference on Space Science and Communication (IconSpace). IEEE, 2021. http://dx.doi.org/10.1109/iconspace53224.2021.9768684.

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Czapla-Myers, Jeffrey S., Nikolaus J. Anderson, and Stuart F. Biggar. "Early ground-based vicarious calibration results for Landsat 8 OLI." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2013. http://dx.doi.org/10.1117/12.2022493.

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Yasmin, Farzana, A. H. M. Sarowar Sattar, and Mahit Kumar Paul. "Water Bodies Identification in Landsat 8 OLI Image Using Machine Learning." In 2019 22nd International Conference on Computer and Information Technology (ICCIT). IEEE, 2019. http://dx.doi.org/10.1109/iccit48885.2019.9038562.

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Reddy, S. Lenin Kumar, C. V. Rao, P. Rajesh Kumar, R. V. G. Anjaneyulu, and Vinodh M. Bothale. "Automatic Road Feature Extraction using MRF from LANDSAT-8 OLI Images." In 2019 IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS). IEEE, 2019. http://dx.doi.org/10.1109/tengarss48957.2019.8976046.

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Reports on the topic "TM Landsat 8 OLI"

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Johansen, Richard A., Christina L. Saltus, Molly K. Reif, and Kaytee L. Pokrzywinski. A Review of Empirical Algorithms for the Detection and Quantification of Harmful Algal Blooms Using Satellite-Borne Remote Sensing. U.S. Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/44523.

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Abstract:
Harmful Algal Blooms (HABs) continue to be a global concern, especially since predicting bloom events including the intensity, extent, and geographic location, remain difficult. However, remote sensing platforms are useful tools for monitoring HABs across space and time. The main objective of this review was to explore the scientific literature to develop a near-comprehensive list of spectrally derived empirical algorithms for satellite imagers commonly utilized for the detection and quantification HABs and water quality indicators. This review identified the 29 WorldView-2 MSI algorithms, 25
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