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Journal articles on the topic 'ERDAS IMAGINE'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Reshetilo, Natalya S., and Elena P. Khlebnikova. "POSSIBILITY OF USING REMOTE SENSING DATA FOR MONITORING WATER OBJECTS." Interexpo GEO-Siberia 6 (May 21, 2021): 248–55. http://dx.doi.org/10.33764/2618-981x-2021-6-248-255.

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The article discusses the use of Earth remote sensing methods. The analysis and mapping of changes in the boundaries of the Iyariver in the city of Tulun, Irkutsk region, was carried out using the Erdas Imagine 2015 software package.

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Баланбаев, Даулет. "Особеннось дешифрирования пространственных объектов по космическим снимкам в программе “ЕRDAS IMAGINIE”". Рroblems of engineering and professional education 42, № 3 (2023): 41–48. http://dx.doi.org/10.32523/2220-685x-2017-42-3-41-48.

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В данной статье рассматриваются общее понятие дешифрирования космических снимков и его особенности в современном мире; некоторые способы использования автоматической (кластерной) и контролируемой (с обучением) классификаций, которые заложены в программе Erdas Imagine. На отдельных примерах анализируются результаты дешифрирования пространственных объектов

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Dobesova, Zdena. "Cognition of Graphical Notation for Processing Data in ERDAS IMAGINE." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 486. http://dx.doi.org/10.3390/ijgi10070486.

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This article presents an evaluation of the ERDAS IMAGINE Spatial Model Editor from the perspective of effective cognition. Workflow models designed in Spatial Model Editor are used for the automatic processing of remote sensing data. The process steps are designed as a chain of operations in the workflow model. The functionalities of the Spatial Model Editor and the visual vocabulary are both important for users. The cognitive quality of the visual vocabulary increases the comprehension of workflows during creation and utilization. The visual vocabulary influences the user’s exploitation of wo

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4

Nelson, Stacy A. C., Siamak Khorram, and Shiloh Dorgan. "Image Processing and Data Analysis with ERDAS IMAGINE." Photogrammetric Engineering & Remote Sensing 86, no. 10 (2020): 597–98. http://dx.doi.org/10.14358/pers.86.10.597.

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Chen, Hao, Tian Liang, and Juan Yao. "The Processing Algorithms and EML Modeling of True Color Synthesis for SPOT5 Image." Applied Mechanics and Materials 373-375 (August 2013): 564–68. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.564.

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SPOT-5 image is widely used in every trade by its special advantage of high spatial resolution and stereo mapping. SPOT-5 image is difficult to composite true color without blue wavelength channel. This article aims to achieve approximation from RS images colors to natural colors through true-color processing. The experiential arithmetic module of true-color composite is established by Using Erdas Imagine, which is the software for processing RS image, and ERDAS Macro Language (EML), which is modeling language. Loading module and some simulations get more effective images of approximating natu

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Sun, Tong He, and Guo Qing Yan. "Land Utilization and Classification Method Based on Remote Sensing Technology." Applied Mechanics and Materials 239-240 (December 2012): 501–6. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.501.

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This paper discusses land utilization classification based on remote sensing technology. Taking the Xinjiang Kulja county bureau department area remote sensing images as the basic information, and using ERDAS IMAGINE, this paper discusses non-supervised classification and supervised classification methods. The results show that remote sensing technology applies to land utilization situation and land classification, which has reference value.

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Plotnikova, Marina, and Elena Khlebnikova. "MONITORING OF URBAN AREA WITH SATELLITE IMAGERY." Interexpo GEO-Siberia 6, no. 1 (2019): 86–93. http://dx.doi.org/10.33764/2618-981x-2019-6-1-86-93.

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The problem of identifying changes occurring in the territory of an urban area due to construction of new facilities, renovations and reconstructions using remote sensing of the Earth was considered. Various algorithms for automated detection of changes from different-time satellite images in the ERDAS IMAGINE 2010 program are analyzed in practice. Factors that must be considered when monitoring urban areas are identified.

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Zeng, Guang Wei, Gui Fen Chen, Chu Nan Li, and Jiao Ye. "The Comparative Study of Remote Sensing Image Classification Method Based on ERDAS." Advanced Materials Research 546-547 (July 2012): 542–47. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.542.

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ERDAS IMAGINE is a remote sensing image processing system developed by the United States.The paper using ERDAS to classified the remote sensing of Land-sat TM image data by supervised classification method and unsupervised classification method, Using the Yushu City remote sensing image of Jilin Province as the trial data, and classified the forest, arable land and water from the remote sensing images, compared the test data of the supervised classification and unsupervised classification method, shows that the supervised classification method can be better to solute the questions "with the sp

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Kaimaris, Dimitris, Petros Patias, and Maria Sifnaiou. "UAV and the comparison of image processing software." International Journal of Intelligent Unmanned Systems 5, no. 1 (2017): 18–27. http://dx.doi.org/10.1108/ijius-12-2016-0009.

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Purpose The purpose of this paper is to discuss unmanned aerial vehicle (UAV) and the comparison of image processing software. Design/methodology/approach Images from a drone are used and processed with new digital image processing software, Imagine UAV® of Erdas imagine 2015®. The products (Digital Surface Model and ortho images) are validated with check points (CPs) measured in the field with Global Positioning System. Moreover, similar products are produced by Agisoft PhotoScan® software and are compared with both the products of Imagine UAV and the CPs. Findings The results reveal that the

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Pal, Shreesty, S. K. Pandey, S. K. Sharma, and Reena Nair. "Acreage estimation of mango orchards in Jabalpur district of Madhya Pradesh using Sentinel-2 imagery." Ecology, Environment and Conservation 29, no. 02 (2023): 840–44. http://dx.doi.org/10.53550/eec.2023.v29i02.050.

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An approach was made to evaluate the area and perform spatial mapping of mango orchards using satellite image obtained from Sentinel-2 for Jabalpur district of Madhya Pradesh. The image was processed using ERDAS IMAGINE software. Supervised classification was performed for acreage estimation. An area of 1217 ha was found to be occupied by mango orchards, covering 0.24% of total area of Jabalpur district. The study has distinctly exhibited the adequacy of remote sensing imagery for identification and area estimation of mango orchards.

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Granovskaya, N. V., and T. V. Sharova. "Digitalization of the educational program of applied geology at the Institute of Earth Sciences of Southern Federal University." Proceedings of higher educational establishments. Geology and Exploration, no. 5 (December 13, 2023): 90–95. http://dx.doi.org/10.32454/0016-7762-2023-65-5-90-95.

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Digitalization concerns all areas of activity of the Southern Federal University, including the educational course “Geological surveying, prospecting, and exploration of solid mineral deposits” taught to students in the Applied Geology program. The competencies of future mining engineers– geologists are designed in close connection with the demands of employers. Computer programs are widely used in the educational process, including Microsoft Word, Microsoft Excel, Microsoft Access, Microsoft Power Point, CorelDraw, Sherpa, ArcGIS, Erdas Imagine, Surfer, Statistica, AutoCAD, Micromine, Surpac,

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FERNANDES, Márcia Rodrigues de Moura, Ronie Silva JUVANHOL, Daniel Henrique Breda BINOTI, et al. "APLICAÇÃO DE CLASSIFICADORES CONVENCIONAIS E REDE NEURAL ARTIFICIAL PARA MAPEAMENTO DE UMA IMAGEM VANT." Geosciences = Geociências 36, no. 4 (2018): 785–91. http://dx.doi.org/10.5016/geociencias.v36i4.10472.

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Este estudo teve por objetivo avaliar a eficiência de dois classificadores convencionais e uma rede neural MLP para o mapeamento do uso da terra a partir de uma imagem VANT. Foram definidas quatro classes na imagem para a classificação automática: eucalipto, pastagem, matocompetição e solo exposto. O algoritmo utilizado no simulador de redes neurais artificiais NeuroDic® 2.0 foi o resilient-propagation. Para aplicação dos classificadores convencionais MAXVER e ISODATA foi utilizado o software Erdas Imagine®11. A melhor classificação foi obtida pelo algoritmo MAXVER e o pior desempenho, com o a

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Gabzdyl, Martin. "Comparison of the tree species select classification methods from aerial photo." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 56, no. 5 (2008): 279–92. http://dx.doi.org/10.11118/actaun200856050279.

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This article describes a comparison of various programs for the automatic supervised classification used for identification of forest tree species representation from the aerial photographs. These programs were represented by American software Erdas Imagine 8.4, Czech products LuciaG 4.0 and TopoL DMT 6.014. The study displays a minor production forest area with proportion of four most frequently occurring tree species – spruce, larch, oak and ash in the research area of the forest region around Bystřice pod Hostýnem, the Czech Republic. For the reason of lower quality of spectrozonal photogra

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Hammadi, Manhal Abdullah, та Faeq Hassan Muhaimid. "مراقبة تغير الغطاء الأرضي لقضاء الطوز باستخدام الاستشعار عن بعد للفترة 1990-2016". Journal of Tikrit University for Humanities 29, № 11, 1 (2022): 245–67. http://dx.doi.org/10.25130/jtuh.29.11.1.2022.12.

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يهدف هذا البحث الى دراسة المتغيرات في أنماط الغطاء الأرضي في قضاء الطوز، وذلك بالاعتماد على المسح الميداني، والصور الجوية، والمرئيات الفضائية لعام 2016، حيث قورنت أنماط الغطاء الأرضي مع تلك التي كانت سائدة عام 1990. اعتمدت الدراسة على منهج تصنيف بيانات منطقة الدراسة، حيث (Likelihood Maximum Probability) الاحتمال الأقصى المجهولة، وذلك بحساب احتمالية (Pixels) استخدام معاملات شدة الاحتمالية لتصنيف الخلايا التي تنتمي لكل فئة من أنماط الغطاء الأرضي، وعولجت وصنفت البيانات باستخدام GIS.V.10.3 وبرنامج ERDAS IMAGINE 8.4 في تصنيف وتحليل واختبار دقة التصنيف لأنماط الغطاء الأرضي في منطقة الدراسة.

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Yanzevich, Oleksandr, Anatolii Vorobiov, and Anatolii Heikhman. "An estimation of nature of temperature anomalies on the space pictures of the black sea." Ukrainian journal of remote sensing, no. 9 (July 1, 2016): 36–39. http://dx.doi.org/10.36023/ujrs.2016.9.78.

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In the article are given the results of comparison of temperature anomalies which are displayed on the satellite images AVHR with geological and tectonic information in limits of a northeast shelf of the Black sea. The satellite images were decoded with the help of software’s ERDAS IMAGINE. Comparison of temperature anomalies with geological and geophysical materials shows, that the temperature anomalies displayed on satellite images AVHR are probably connected to bleeding of gases, mainly, on faults to zones, which arise, at shift motions on deep faults of the northeast and latitudinal strike

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16

Husain Khalf AL-kinani, Yousif. "Protect Digital Elevation Model (DTM) from Aerial Photographs by Using (ERDAS IMAGINE)." Engineering and Technology Journal 33, no. 8A (2015): 1890–900. http://dx.doi.org/10.30684/etj.2015.108830.

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Santos, Francineide Amorim, TELMA LUCIA ALVES, PEDRO VIEIRA AZEVEDO, and CARLOS SANTOS. "COMPORTAMENTO SAZONAL DO ALBEDO E DOS ÍNDICES DE VEGETAÇÃO NA BACIA HIDROGRÁFICA DO ALTO CURSO DO RIO PARAÍBA (Albedo Seasonal Behavior and vegetation indices in the upper basin Paraíba River)." Revista Brasileira de Geografia Física 7, no. 5 (2015): 1015. http://dx.doi.org/10.26848/rbgf.v7.5.p1015-1023.

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O objetivo deste estudo foi apresentar as variações do albedo, do índice de vegetação por diferença normalizada (IVDN) e do índice de vegetação para ajustamento do solo (IVAS) para a bacia do alto curso do Rio Paraíba, composta por 18 municípios. Os parâmetros foram obtidos a partir de imagens Moderate Resolution Imaging Spectroradiometer (MODIS) da plataforma Terra, sendo todas as rotinas computacionais necessárias executadas através do programa ERDAS Imagine 8.5. Foram utilizadas imagens referentes aos dias julianos: 025, 033, 089, 0,97, 137, 169, 201, 233, 273, 281, 313, 337 de 2013. O albe

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Novakovsky, B. A., A. V. Kudryavtsev, and A. L. Entin. "Software for GIS-processing of airborne lidar data." Geoinformatika, no. 4 (2020): 2–11. http://dx.doi.org/10.47148/1609-364x-2020-4-2-11.

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The paper considers GIS software which may be utilized for airborne lidar data processing. Software list includes proprietary MicroStation with TerraScan plugin, Global Mapper, ArcGIS, ERDAS Imagine, LAStools, as well as free and open source SAGA, WhiteboxTools, and PDAL.io. Possibilities of import-export, 2D and 3D data visualization, point cloud editing and derivation of GIS datasets are examined for each software. Computational efficiency assessment is performed for the procedure of interpolation point elevation data in different software. As a result, the advantages and disadvantages of th

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Белова, Юлия Владимировна, Валентина Аркадьевна Добрякова, Дарья Владимировна Козлова, Владислава Олеговна Исаева та Кирилл Викторович Гетман. "Методика автоматизированного дешифрирования нефтяных загрязнений для территории Ханты-Мансийского автономного округа – Югры". Vestnik SSUGT 29, № 3 (2024): 60–71. http://dx.doi.org/10.33764/2411-1759-2024-29-3-60-71.

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В работе предложена, а затем протестирована методика дешифрирования нефтяных загрязнений для территории ХМАО – Югры автоматизированными методами в программном комплексе ERDAS Imagine 2015. Подбор методики осуществлялся на основе данных спутника Landsat 5 за 2011 г. на территорию Ершового месторождения. Для оценки качества классификации использованы данные о фактических площадях и локализации нефтяных разливов в 2011 г. Предлагаемая методика включает в себя подготовку исходных данных, создание мультиспектрального изображения в комбинации каналов RED-NIR-SWIR, создание обучающей выборки для клас

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Naik, Shekar, H. Gangadhara Bhat, and T. N. Sreedhara. "Impact of Land Use Land Cover Change on Coastal Tourism in Kundapura, Karnataka, Using Multi-temporal Remotely Sensed Data and GIS Techniques." Atna - Journal of Tourism Studies 13, no. 1 (2018): 1–18. http://dx.doi.org/10.12727/ajts.19.1.

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The present study is an attempt to examine the Land Use Land Cover changes in parts of Kundapura Taluk in Karnataka for the period 2006 and 2016 and its impact on coastal tourism. IRS satellite images of 2006 and 2016 have been used and processed using ERDAS Imagine and ArcGIS. The result indicated tremendous changes, particularly in mixed urban and agricultural land and proved that RS/GIS has advantages over conventional techniques. The result obtained, based on the multi-dated satellite data study, will assist in decision making and help to take appropriate measures to monitor and regulate c

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Souza, Cristiano Marcelo Pereira de, Maurício Santana Moreau, Ana Maria Souza Dos Santos Moreau, and Ednice De Oliveira Fontes. "Níveis de Degradação de Pastagens da Bacia do Rio Colônia-BA com Uso de Imagens LANDSAT 5TM (Degradation Level of Grassland of River Basin Colombia-BA Using Landsat 5 TM)." Revista Brasileira de Geografia Física 3, no. 3 (2011): 228. http://dx.doi.org/10.26848/rbgf.v3i3.232685.

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A carência de manejo adequado ao longo dos anos provocou alterações negativas na qualidade das pastagens da bacia hidrográfica do rio Colônia, caracterizada em maior parte como degradada sem capacidade de suporte das pastagens, isto traz como conseqüência a baixa produtividade, caracterizada pela redução do efetivo bovino na região e ainda aumento da erosão dos solos que provoca assoreamento e redução das áreas apropriadas para atividades agropecuárias, bem como outros fatores que agridem o geossistema da bacia. Assim este estudo objetivou analisar os níveis de degradação de pastagens, com ela

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Gupta, H. "Change detection of landcover/landuse type in Bhagwan Birsa Biological Park – Geospatial approach." Indian Journal of Forestry 28, no. 1 (2005): 101–4. http://dx.doi.org/10.54207/bsmps1000-2005-9o53t8.

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In the present study, the change monitoring of vegetation cover has been doen for the Bhagwan Birsa Biological Park of Ranchi over a period of 12 years. This involved the classification of land use using ERDAS IMAGINE software IRS LISS II data of 1991 and IRS LISS III data of 1996. The change in different class of forest in the Biological Park’s area in various periods has been analyzed critically for various reasons leading to it. The study demonstrates that Remote Sensed data can be useful for Forest/Wildlife Manager by providing them spatial information of their territory which can be analy

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Badenko, V., D. Zotov, N. Muromtseva, Y. Volkova, and P. Chernov. "COMPARISON OF SOFTWARE FOR AIRBORNE LASER SCANNING DATA PROCESSING IN SMART CITY APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W2 (September 20, 2019): 9–13. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w2-9-2019.

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<p><strong>Abstract.</strong> Problems of processing of point clouds of airborne laser scanning using different software for Smart City projects are considered. Results of comparison of suitable software on the base of a test point cloud are presented. For comparison we had chosen a criterion for how results of point cloud processing can be used in the smart city application. The following software were chosen for comparison: Erdas IMAGINE, ENVI Lidar, TerraSolid (without Terraslave), GlobalMapper, Autodesk InfraWorks. Comparison have been conducted in qualitative and quantit

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Kabanda, Tabaro H., and Tibangayuka A. Kabanda. "Urban heat island analysis in Dar es Salaam, Tanzania." South African Journal of Geomatics 8, no. 1 (2022): 98–107. http://dx.doi.org/10.4314/sajg.v8i1.7.

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neighbouring countryside. In this study, UHI intensity is assessed using Landsat 8 data in Dar es Salaam, Tanzania. An ERDAS Imagine algorithm is used to acquire the land surface temperature (LST) from Landsat 8 data. The association of LST and normalized difference vegetation index (NDVI) as well as the normalized difference build-up index (NDBI) is also assessed. The outcome of the study shows that the influence of UHI in Dar es Salaam is situated mainly in built-up areas compared to the surrounding rural areas. The negative association of LST and NDVI shows that greenery can reduce the deve

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Plotnikova, Marina A., and Elena P. Khlebnikova. "STUDY OF METHODS FOR IDENTIFYING TERRITORIAL CHANGES BY MULTI-TIME SATELLITE IMAGES." Interexpo GEO-Siberia 6, no. 2 (2020): 48–58. http://dx.doi.org/10.33764/2618-981x-2020-6-2-48-58.

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The article is devoted to the analysis of the efficiency of automated methods for distinguishing various types of objects on the earth's surface, which are both natural and rapidly occurring processes (fires, floods), as well as anthropogenic factors (construction, deforestation) in the synthesis of multi-time satellite images in ERDAS IMAGINE. Various methods were used to process synthesized multi-time images. Experiments to detect changes involved the use of the principal component method (in this case, components with less correlation were analyzed, which contain more information about chan

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Гордиенко, Антонина Сергеевна, та Валерия Вячеславовна Дедкова. "Сравнительный анализ результатов тематической обработки космических снимков в свободном и коммерческом программном обеспечении". Vestnik SSUGT 30, № 2 (2025): 74–82. https://doi.org/10.33764/2411-1759-2025-30-2-74-82.

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Применение свободного программного обеспечения для обработки данных дистанционного зондирования обладает рядом преимуществ, к которым можно отнести: доступ к полному набору функциональных возможностей без приобретения лицензии, открытый исходный код, возможность адаптирования существующих модулей под решение собственных задач либо создание новых. В условиях ограничений использования зарубежных программных продуктов и высокой стоимости коммерческих программ исследование возможностей свободного программного обеспечения является актуальным. Целью данной работы является сравнение результатов обраб

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Verma, Kapil, Manoj Kumar, and Lov Kumar Gupta. "Groundwater Quality Assessment for Irrigation in Durg District, Chhattisgarh, India: A Hydro Geochemical and GIS-Based Perspective." Journal of Scientific Research and Reports 31, no. 1 (2025): 185–95. https://doi.org/10.9734/jsrr/2025/v31i12757.

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Groundwater quality is a critical factor for agricultural irrigation, as its chemical composition can directly impact soil structure and crop productivity. This study investigates the groundwater quality in Durg district, Chhattisgarh, with a focus on its suitability for irrigation. A comprehensive analysis of hydro geochemical parameters such as pH, electrical conductivity (EC), sodium adsorption ratio (SAR), sodium percentage (Na%), residual sodium carbonate (RSC), and other key elements was conducted. The study uses both chemical analysis and digital tools such as ERDAS IMAGINE and MapInfo

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Mohammed, D., M. M. Maina, I. Audu, I. Y. Tudun Wada, and N. K. Nasir. "Remote sensing techniques in mapping spatial variability of salinity in Kano River Irrigation Project (KRIP), Nigeria." Nigerian Journal of Technology 40, no. 4 (2021): 732–39. http://dx.doi.org/10.4314/njt.v40i4.20.

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   Salinity has become a major issue in most large scale irrigation schemes, assessing the extent of the spread has become daunting and laborious. Remote sensing techniques were used to map salinity and develop models for extracting and identifying salinity in soils. Sentinel-2B optical imaging satellite with 13 spectral bands and 10 m spatial resolution was used. SNAP Desktop, ERDAS Imagine, and ArcGIS 10.6 software were used as the main GIS packages for building models and running functions such as input, output, analysis, and processing. Stepwise Multiple Linear Regression

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Li, Shi Wei, Ji Long Zhang, and Jian Sheng Yang. "Acquisitions of Vegetation Coverage and Cultivated Land Occupation Ratio of Taiyuan Valley Plain for Example Using CBERS-02B CCD Image." Advanced Materials Research 518-523 (May 2012): 5663–67. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.5663.

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Vegetation covering situation is very important for the quality of air quality, soil and water conservation ability and soil forming in an area. By using the remote sensing image of Taiyuan Valley Plain, the application of Normalized Difference Vegetation Index (NDVI) and unsupervised classification, the vegetation coverage map which includes non-cultivated land disposition and cultivated land disposition was obtained using ERDAS Imagine software. To evaluate the accuracy of the results, 200 points were sampled randomly, the high spatial resolution remote sensing image from Google Earth was us

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Albadran, B. N., S. T. Al-Mulla, and M. M. Abd-Alqader. "Physiographic study of Shatt Al-Arab Delta South of Iraq by Application of Remote Sensing Technique." Mesopotamian Journal of Marine Sciences 31, no. 2 (2022): 169–80. http://dx.doi.org/10.58629/mjms.v31i2.102.

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The Shatt Al-Arab River is formed by the confluence of the Tigris and Euphrates Rivers near Qurna 75 km, Basrah Governorate, approximately 75 km north of the city of Basrah, southern of Iraq. Satellite images of Landsat 7 ETM+ for years 2000, 2002 and 2006 were processed with ERDAS Imagine 8.4 and ArcGIS 9.3. They were used to interpret the geomorphology of Shatt Al-Arab delta. Shuttle Topographic Radar Mission. Geomorphologic structures, suspended load distribution and lateral movement of the main channel are interpreted and three lobes are distinguished at the formative delta front, confirmi

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Gooch, M. J., J. H. Chandler, and M. Stojic. "Accuracy Assessment of Digital Elevation Models Generated Using the Erdas Imagine Orthomax Digital Photogrammetric System." Photogrammetric Record 16, no. 93 (1999): 519–31. http://dx.doi.org/10.1111/0031-868x.00140.

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Al-Subaihi, Ali Mukhlif Sabaa, та Saad Hassan Jassim Nassif. "مراقبة تغيرات الغطاء الأرضي واستعمالات الأرض لقضاء الدور باستخدام التقنيات الحديثة للمدة 1990- 2000- 2010 - 2016)". Journal of Tikrit University for Humanities 25, № 2 (2018): 419–43. http://dx.doi.org/10.25130/jtuh.25.2.2018.18.

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يهدف البحث الى تحديد مظاهر التصحر في منطقة الدراسة من خلال مراقبة الغطاء النباتي وملوحة التربة والتعرية الريحية والاخدودية والكثبان الرملية والتوسع العمراني وبيان التأثيرات البيئية لكل مظهر من مظاهر التصحر،وبالاعتماد على الاحصاءات والبيانات المتوفرة واستخدام الخرائط والصور الفضائية ونظم المعلومات الجغرافية، فقد تم مراقبة الغطاء الارضي واستعمالات الارض في منطقة الدراسة من خلال المرئيات الفضائية للقمر الصناعي(Landst) للمدة (1990 -2000- 2010- 2016) وباستخدام برنامج Erdas) Imagine 9.3 ) وهذه الادلة تشير الى تأثير العوامل الطبيعية والبشرية من تأثير المناخ وتدهور التربة والتعرية الريحية والنشاط البش

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Mainuri, Zachary Gichuru, John M. Mironga, and Samuel M. Mwonga. "Land Use/Land Cover Changes in a Disturbed River Watershed Kenya." European Journal of Engineering and Formal Sciences 3, no. 2 (2019): 29. http://dx.doi.org/10.26417/ejef.v3i2.p29-36.

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Drivers of land use change were captured by the use of DPSIR model where Drivers (D) represented human needs, Pressures (P), human activities, State (S), the ecosystem, Impact (I) services from the ecosystem and Response (R), the decisions taken by land users. Land sat MSS and Land sat ETM+ (path 185, row 31) were used in this study. The Land sat ETM+ image (June 1987, May, 2000 and July, 2014) was downloaded from USGS Earth Resources Observation Systems data website. Remote sensing image processing was performed by using ERDAS Imagine 9.1. Two land use/land cover (LULC) classes were establish

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Silvério Neto, Roberto, Monique de Carvalho Bento, Sady Junior Martins da Costa de Menezes, and Fábio Souto Almeida. "Caracterização da Cobertura Florestal de Unidades de Conservação da Mata Atlântica." Floresta e Ambiente 22, no. 1 (2015): 32–41. http://dx.doi.org/10.1590/2179-8087.058013.

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O trabalho objetivou caracterizar a cobertura florestal de seis unidades de conservação da natureza no município de Três Rios, RJ: APA Bemposta; APA Lago do Caça e Pesca; APA Santa-Fé; APA Vale do Morro da Torre; MONA Encontro dos Três Rios; e o PNM Três Rios. Para localizar os fragmentos florestais foi utilizada a base de dados do satélite Landsat 5-TM, processada com os programas Erdas Imagine 9.2 e ArcGIS 10.0. Foram encontrados 527 fragmentos florestais, cobrindo uma área total de 7.075,77 ha (26,88% da área das unidades de conservação). A APA Bemposta se destacou por possuir a maior porce

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Ziboona, Abdulrazak T., Sajad Abdullah Abdul-Husseinlb, Muthanna M. Albayatic, and Student Fadhaa Turkey Dakheld. "Monitoring of Land Degradation in Alluvial Plain in Iraq by Using Geomatics Techniques." IOP Conference Series: Earth and Environmental Science 961, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1755-1315/961/1/012023.

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Abstract Iraq faces a major environmental problem represented by severe deterioration, which threatens its food security. Many natural and human factors combine to make it, and it has dire environmental, economic, social and cultural consequences, most notably the loss of productive lands, the movement of sand dunes, severe sand and dust storms, and the resulting increase in air pollution. This study attempts to identify the development of the problem, analyze its causes and consequences, and propose a number of solutions to address it. In this article Remote Sensing techniques have been used

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Ganeshmoorthi, M. "Assessment of Land Use/Land Cover Changes in Coimbatore North Taluk, Tamil Nadu, India using GIS and Remote Sensing." Asian Review of Social Sciences 7, no. 2 (2018): 19–21. http://dx.doi.org/10.51983/arss-2018.7.2.1436.

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The main aim of the present study is to assess Land use/land cover changes in Coimbatore North Taluk for the period of 2001 and 2018. The study area is located in Coimbatore district, Tamil Nadu state and geographical area is 479.5 km2. To analyze land use/land cover changes, a temporal satellite images Landsat 7 (2001) Sentinel-2 (2018) was used. Vector data for the study area was extracted from the SOI toposheets and taluk sheets. The above satellite image was classified into four major classes viz. water bodies, croplands, built-up area, and forest using hybrid supervised classification met

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Musayev, I. F. "UPDATING TOPOGRAPHIC MAPS USING INTERACTIVE GIS PROGRAMS." Geography and Natural Resources, no. 2(22) (December 25, 2024): 121–25. https://doi.org/10.59423/gnr.2024.84.10.001.

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The area covering a certain part of the earth’s surface is a place where human activity is constantly in contact with nature. Along with natural elements such as land, water, and vegetation, the area also includes settle-ments, a road network, power lines and communications, canals, various types of outbuildings, industrial and socio-cultural facilities, and other artificial elements that are the product of human activity. It should be noted that technological development over time affects the soil, surfaces, and atmosphere of the earth, and this, in turn, causes global climate change. The ent

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Hubbard-Zamudio, Walter, Gerardo Rodríguez-Quiroz, and Pedro Joaquín Gutiérrez-Yurrita. "Shrimp farming and mangroves: entities in conflict?" Latin American Journal of Aquatic Research 51, no. 5 (2023): 642–57. http://dx.doi.org/10.3856/vol51-issue5-fulltext-3057.

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This study quantifies the possible effects on mangrove forests from activities associated with shrimp farms operating in a shrimp farming development pole in northwestern Mexico. Remote sensing and Geographic Information Systems (GIS) were used, specifically ERDAS Imagine 10 and ArcGIS. Satellite image classification consisted of a statistical method by which, through a sampling of pixels, the rest of the pixels of the image were grouped into categories or classes. Two classification methods were used: supervised and unsupervised. The Normalized Difference Vegetation Index (NDVI) was computed

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Dr. Parveen. "An Analysis of crop rotation practice by the farmers of North-western Haryana: Using geospatial technology." Universal Research Reports 11, no. 4 (2024): 57–63. http://dx.doi.org/10.36676/urr.v11.i4.1310.

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Crop rotation studies that include comprehensive temporal and spatial data are essential for sustainable agricultural management, crop monitoring, and addressing food security concerns. Insufficient agricultural information is a significant barrier to effective policy-making and research aimed at ensuring food security. A study was carried out in northwestern Haryana to map crop rotation using satellite-based remote sensing data, combined with other spatial and non-spatial collateral data. The main data sources utilized were Landsat-5 and Sentinel-2, which were analyzed using digital image pro

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Elekwachi, Wali, Phil-Eze P. O., Nwankwoala Hycienth O., Bosco-Abiahu Lilian C., and Emelu Victoria O. "Analysis of Land Use and Land Cover Changes in the Wetland Ecosystem of Port-Harcourt Metropolis, Nigeria." Engineering Management Research 8, no. 2 (2019): 54. http://dx.doi.org/10.5539/emr.v8n2p54.

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The study analyzed changes in land use and land cover overtime in Port-Harcourt metropolis using remote sensing techniques from 1984-2013.The Geo-referencing properties of 1984, 1999, 2003 and 2013 include; universal Transverse Mercator (UTM) projection, and datum WGS 84, zone 32, ERDAS Imagine (2014).These were used for displaying processing, enhancement, classification of the imageries and also used for the delineation of the study area imagery. IDRIS SELVA was used for the development of land use land cover classes. ArcGIS 10.1was used in developing, display and processing of the location m

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Kankara, I. A., and M. Ado. "GROUNDWATER POTENTIAL ASSESSMENT OF PART OF KAZAURE, NIGERIA USING ERDAS IMAGINE, PCI GEOMATICA, ARCMAP AND EXPERT CHOICE SOFTWARE." FUDMA JOURNAL OF SCIENCES 7, no. 2 (2023): 265–74. http://dx.doi.org/10.33003/fjs-2023-0702-1983.

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The possibility of utilizing groundwater as a source of water supply for public use is always attractive This research was focused to evaluate the groundwater potential of Kazaure area, Nigeria. The methodology adopted were mainly primary data in which six different thematic maps were integrated to generate the groundwater potential model (GWPM. It was produced by Weighted Linear Combination (WLC) where each class individual’s weight was multiplied by the map scores. In the research, Erdas Imagine 9.2, PCI Geomatica 10.0, ArcMap 9.3 and Expert Choice 10.0 in a GIS environment were used. Vertic

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Teixeira, Noelto da Cruz Teixeira Da Cruz, and Victor Hugo de Morais Danelichen Hugo de Morais Danelichen. "Dinâmica de Queimadas no Município de Cuiabá-MT por Sensoriamento Remoto." Revista Brasileira de Geografia Física 14, no. 2 (2021): 607. http://dx.doi.org/10.26848/rbgf.v14.2.p607-618.

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O bioma Cerrado é uma das mais ricas fitofisionomias existentes no Planeta com destaque no elevado índice de ocupação humana direcionada à produção agropecuária. Apesar de seu potencial biológico enfrenta ameaças constantes de queimadas devido à conversão da vegetação em parcelas destinada a agricultura e pastagens. Neste contexto o objetivo deste trabalho é estudar a dinâmica espacial e temporal das queimadas no município de Cuiabá-MT, relacionando com as variáveis microclimáticas, classes de vegetação e declividades do terreno com o uso de recursos, de sensoriamento remoto. Foram utilizados

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Rodrigues, Guilherme Da Silva, Ulisses Rocha de Oliveira, and Karine Bastos Leal. "Variação das dunas no Balneário Barra do Chuí, extremo sul do Brasil, entre 2005-2018." Revista Brasileira de Geografia Física 14, no. 2 (2021): 522. http://dx.doi.org/10.26848/rbgf.v14.2.p522-536.

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As dunas costeiras são feições naturais formadas a partir das praias arenosas, devido a interação do vento, areia e vegetação. No entanto, a ação humana torna-se uma variável cada vez mais relevante em sua dinâmica, ocasionando problemas ambientais. O presente trabalho tem como objetivo quantificar e caracterizar, a partir de uma série temporal de imagens orbitais no intervalo entre 2005 e 2018, a mobilidade das dunas no Balneário Barra do Chuí – RS, especificamente a variação na base das dunas frontais. O intuito é verificar processos de erosão e sedimentação na orla do balneário, bem como a

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Arif Maullana, Danang, and Arief Darmawan. "Perubahan Penutupan Lahan Di Taman Nasional Way Kambas." Jurnal Sylva Lestari 2, no. 1 (2014): 87. http://dx.doi.org/10.23960/jsl1287-94.

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Land cover changes in Way Kambas National Park (TNWK) changes rapidly. Data on changes in land cover in 1996, 2002 and 2010 in TNWKanalyzed by using remote sensing and Geographic Information Systems (GIS). Analysis also includes changes in land cover in each zoning park management.The research was conducted in June-September 2012 at the Way Kambas National Park. Data collected in the form of Landsat ETM + and TM (1996, 2002, and 2010), field verification points, and attribute data in the form of zoning. Spatial data processed with ERDAS imagine software version 8.5 and Arc View version 3.3, wh

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Méndez-Morales, Maikel, and Daniela Jiménez-Monge. "Generación de Modelos de Elevación Digital (DEM) a partir del análisis fotogramétrico utilizando imágenes CARTA-2005." Revista Tecnología en Marcha 26, no. 4 (2013): 26. http://dx.doi.org/10.18845/tm.v26i4.1578.

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<p>Se utilizaron las fotografías aéreas de la Misión Carta-2005 en la generación de Modelos de Elevación Digital (DEM, por sus siglas en inglés) para un área de estudio de 180 km2, situada al noroeste de la ciudad de Cartago, Costa Rica. Las resoluciones espaciales probadas fueron de 2, 5 y 10 m. Se usó un total de 42 Puntos de Control del Terreno (GCP, por sus siglas en inglés) para establecer la orientación externa del bloque estereoscópico. Se seleccionó ERDAS Imagine-LPS como la estación fotogramétrica de análisis. En las imágenes de CARTA-2005 se detectaron varias deficiencias, incl

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Abdullah Salman Alsalman, Abdullah Salman Alsalman. "Comparative Study of Change Detection and Urban Expansion Using Multi-Date Multi-Source Data: A Case Study of Greater Khartoum." journal of King Abdulaziz University Engineering Sciences 23, no. 2 (2012): 139–72. http://dx.doi.org/10.4197/eng.23-2.8.

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Noting that Khartoum represents the most rapidly expanding city in the Sudan and taking into account that change detection operations are seldom , the present study has been initiated to attempt to produce work that synthesizes land use/land cover (LULC) to investigate change detection using GIS, remote sensing data and digital image processing techniques; estimate, evaluate and map changes that took place in the city from 1975 to 2003. The experiment used the techniques of visual inspection, write-function-memoryinsertion, image differencing, image transformation i.e. normalized difference ve

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Kouder, Noor Zubair. "Satellite image classification using proposed singular value decomposition method." Iraqi Journal of Physics (IJP) 13, no. 28 (2019): 52–67. http://dx.doi.org/10.30723/ijp.v13i28.243.

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In this work, satellite images for Razaza Lake and the surrounding areadistrict in Karbala province are classified for years 1990,1999 and2014 using two software programming (MATLAB 7.12 and ERDASimagine 2014). Proposed unsupervised and supervised method ofclassification using MATLAB software have been used; these aremean value and Singular Value Decomposition respectively. Whileunsupervised (K-Means) and supervised (Maximum likelihoodClassifier) method are utilized using ERDAS imagine, in order to getmost accurate results and then compare these results of each methodand calculate the changes

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Abhyankar, A., T. Sahoo, B. Seth, et al. "MAPPING AND CHANGE DETECTION OF MANGROVES AROUND MUMBAI USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (GIS)." Journal of Civil Engineering, Science and Technology 12, no. 1 (2021): 26–31. http://dx.doi.org/10.33736/jcest.3339.2021.

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The study focuses on the mangroves in two districts namely, Mumbai and Mumbai Suburban. Mumbai, a coastal megacity, is a financial capital of the country with high population density. Mumbai is facing depletion of coastal resources due to land scarcity and large developmental projects. Thus, it is important to monitor these resources accurately and protect the stakeholders’ interest. Cloud-free satellite images of IRS P6 LISS III of 2004 and 2013 were procured from National Remote Sensing Centre (NRSC), Hyderabad. Two bands of visible and one band of NIR were utilized for landcover classificat

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Hanjagi, Aishwarya S., Shahnin Irfan, P. Surendra, and Ashok D. Hanjagi. "Land use Land cover changes in Mandya taluk using GIS and remote sensing." Geo Eye 8, no. 1 (2019): 1–4. http://dx.doi.org/10.53989/bu.ge.v8i1.1.

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Land and water are the most keys and pivotal factors for the progress of any region or locality. Land use and land cover transformation have turned out to be a dynamic factor in recent strategies for dealing with natural resources and monitoring environmental changes. The research aimed to analyze and monitor land use/land cover changes in Mandya taluk of Karnataka by using an integrated approach of remote sensing and geographical information system The Mandy taluk satellite data were collected for the years of 1995, 2005, and 2018 and were classified by using a maximum likelihood algorithm, n

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Calado, Paulo Antunes Dias Pereira, Glauber Lopes Mariano, and Ericka Voss Chagas Mariano. "Estudo das máximas e mínimas colunas totais de NO2 sobre a região nordeste do Brasil." Ciência e Natura 40 (March 22, 2018): 174. http://dx.doi.org/10.5902/2179460x30752.

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Nitrogen dioxide (NO2) is a gas emitted from anthropogenic sources directly into the atmosphere, with the most relevant being automotive vehicles. In this work were used the softwares Erdas Imagine, GRADS and R with data obtained from the NASA Geovanni platform (available at http://giovanni.gsfc.nasa.gov/giovanni/) from the Ozone Monitoring Instrument (OMI) sensor located on the satellite AURA. In the data series, averages, minimum and maximum were used to observe and identify the areas with the highest concentration of NO2 in the Northeast region and the behavior of the pollutant on the same

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