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Journal articles on the topic 'ERDAS'

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1

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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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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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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Monte, Marco Antonio, Maria das Graças Ferreira Reis, Geraldo Gonçalves dos Reis, Hélio Garcia Leite, and Jonathan James Stocks. "Métodos indiretos de estimação da cobertura de dossel em povoamentos de clone de eucalipto." Pesquisa Agropecuária Brasileira 42, no. 6 (2007): 769–75. http://dx.doi.org/10.1590/s0100-204x2007000600002.

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O objetivo deste trabalho foi avaliar o potencial de uso de fotografias digitais na estimação do índice de cobertura de dossel (ICD), em substituição ao índice de área foliar (IAF). Fotografias digitais de 640x480 e de 1.280x960 pixels foram processadas por meio dos aplicativos Erdas, Gap Light Analyzer e Sidelook. O IAF, estimado com o LAI-2000, e as fotografias digitais foram obtidos aos 81 e 93 meses de idade, em povoamento de clone de eucalipto submetido à desrama e ao desbaste. Foram observadas correlações significativas entre IAF e ICD, e as fotografias com maiores dimensões permitiram m
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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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7

Деренюк, М. М. "Картографування місцевості за допомогою геоінформаційних систем "Erdas"". Часопис картографії, Вип. 2 (2011): 50–54.

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8

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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Hermon, Dedi. "Estimate of Changes in Carbon Stocks Based on Land Cover Changes in the Leuser Ecosystem Area (LEA) Indonesia." Forum Geografi 29, no. 2 (2016): 188. http://dx.doi.org/10.23917/forgeo.v29i2.1487.

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This research aimed at designing the model of land cover changes in 1990 and 2014, and estimating carbon stock changes in each land cover in Leuser Ecosystem Area (LEA). The spatial model of land cover changes was analyzed by interpreting Landsat 5 TM imagery in 1990 and Landsat 7 ETM+ imagery in 2014 with ERDAS 9.1 and Land Change Modeller (LCM) in Idrisi TerrSet v.18. The analysis of land area changes (ha) in each land cover from 1990 to 2014 used ERDAS 9.1 with tools Interpreter (GIS Analysis-Matrix). Systematic survey method was employed in order to analyze carbon stocks. The sampling tech
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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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Shrestha, Ila. "Study on Distribution of Rhododendron Arboreum Sm. In Langtang National Park Using Geographic Information System and Remote Sensing." Tribhuvan University Journal 29, no. 1 (2016): 79–84. http://dx.doi.org/10.3126/tuj.v29i1.25672.

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The paper is based on the study of distribution of Rhododendron arboreum Sm. in Langtang National Park ranging from 600 m to 7234 m. The study was carried out the Remote-Sensing and Geographic Information System technique. SPOT Image and ERDAS Software have been used for the image processing. The program has detected different ecological parameters in tropical to alpine zone and verified ground truth Rhododendron arboretum of the study.
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Chen, Jian Ping, Hong Li Liu, and Min Guo. "The High Resolution Lunar Planet DEM Based on the Altimetry Data of 400-Circle CE-1 Laser Altimeter (2B)." Applied Mechanics and Materials 142 (November 2011): 28–31. http://dx.doi.org/10.4028/www.scientific.net/amm.142.28.

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Recent years, considering the decreasing amount of nature resource on Earth, It’s very important to expand the field of scientific research, and to develop new resources. Based on 400 rail CE-1 laser altimeter altimetry data (2B data), to process the data, delete the singular of data, and import the remaining data into ERDAS IMAGINE9.1 generating lunar planet DEM. Its spatial resolution is more accurate than the existing model of the lunar DEM.
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Maguire, David J. "The raster GIS design model—A profile of ERDAS." Computers & Geosciences 18, no. 4 (1992): 463–70. http://dx.doi.org/10.1016/0098-3004(92)90076-4.

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Ms., Haimashree Sarkar, Vishal Hulsure Prof., (Dr) RC Pathak Brig, and Mahesh Swami Mr. "APPLICATION OF GEOINFORMATICS FOR IDENTIFICATION AND DETECTION OF URBAN SPRAWL IN AND AROUND PUNE REGION." International Journal of Advances in Engineering & Scientific Research 1, no. 2 (2014): 01–15. https://doi.org/10.5281/zenodo.10720105.

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<strong>Abstract</strong> <em>Due to the modern breakthrough technological developments and rapid pace of urbanization as well as the haphazard growth of major cities has ushered- in, into one of the surmounting challenges which is menacingly faced by almost all the countries of the world. More so, this situation has worsened in India in a more pronounced fashion. As unorganized urbanization is becoming the major problem and primarily order of the day, it requires the immediate attention of technocrats/administrators for sustainable development of urban regions. In the emerging scenario it is
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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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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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Li, Yu Peng, Zhi Gang Ling, Zi Qiang Ma, Zheng Gui Gou, Xiang Liu, and Yan Lin Tang. "Application of Remote Sensing Technology on Tobacco Planting in Fuquan City." Advanced Materials Research 815 (October 2013): 910–14. http://dx.doi.org/10.4028/www.scientific.net/amr.815.910.

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Tobacco planting in Guizhou existed many problems such as exceed planting area, irregularity in quality, imprecise in crop estimate and kinds of disaster monitoring etc. In this article, to solve these problems some new schemes were given. The satellite remote sensing technology was applied on tobacco planting monitoring in Fuquan city of Guizhou province for the first time combining with ERDAS, GPS and ARCGIS in this paper. It put forward a specific implementation plan. And this plan could provide technical helps very well in planting area statistics, growth monitoring and yield estimation of
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Shrestha, Ila. "Spatially Distribution of Quercus semecarifolia in Rasuwa District Using GIS and RS." International Journal of Applied Sciences and Biotechnology 3, no. 4 (2015): 747–49. http://dx.doi.org/10.3126/ijasbt.v3i4.13980.

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The paper is based on the case study of Rasuwa district, is a land of geographical extremes, ranging from 600 m Betrabati river to 7234 m Langtang Lirung, the highest point in the northwest. The study was carried out on the detection of Quercus semecarifolia J.E.Smith using Remote-Sensing and Geographic Information System technique. SPOT Image and ERDAS Software have used for the image processing. The program has detected the different types of ecological parameters in tropical to alpine zone and specified the plant species in the study after ground truthing.Int J Appl Sci Biotechnol, Vol 3(4)
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م. د. علي حمزة عبد الحسين الجوذري. "تقدير حجم الجريان السطحي لحوض وادي الطحينات باستخدام طريقة (SCS-CN)". Journal of Education College Wasit University 56, № 1 (2024): 241–62. http://dx.doi.org/10.31185/eduj.vol56.iss1.3900.

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اعتمدت الدراسة على طريقة (SCS-CN) وهي واحدة من اهم الطرق التي تستخدم لتقدير حجم الجريان السطحي التي تم تطويرها من خلال ادارة صيانة التربة التابعة لإدارة الزراعة في الولايات المتحدة الامريكية (Soil Conservation Service ) وذلك من خلال تحليل البيانات الفضائية ونموذج الارتفاعات (DEM) ، فضلاً عن استعمال مجموعة من البرمجيات اهمها:(ArcGIS, Global Mapper ,IDW, Erdas) التي يعتمد في مدخلاتها على هيدرولوجية التربة ونوع الغطاء النباتي وكمية الامطار الساقطة، أظهرت الدراسة ان قيمة (CN) التي تراوحت بين (30 - 89)، حيث توصلت الدراسة إلى تقدير عمق الجريان السطحي(Q) الذي يتراوح بين (0.78 - 67.77) ملم، وحجم الجري
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YI, Piyuan, Yingjun ZHAO, Dechang LIU, and Guanghua LIU. "3D Landscape Modeling and Application Based on Erdas and DirectX Platform." Geo-information Science 12, no. 4 (2010): 473–79. http://dx.doi.org/10.3724/sp.j.1047.2010.00473.

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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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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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Ahmed, Khansa A. "Determination of Irrigated Field Units in North Al-Jazeera Irrigation Project Using Remote Sensing Data." Tikrit Journal of Engineering Sciences 21, no. 2 (2013): 68–74. http://dx.doi.org/10.25130/tjes.21.2.09.

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This paper presents the role of digital image processing (DIP) for the investigation ofeffectively and actually irrigated areas through the signature of vegetative growth; Thetechniques of digital image processing for remotely sensed images including subsetting,enhancement, stacking, and vegetation index calculation determining the real irrigated areas inNorthAl-jazeera irrigation project. Landsat ETM+ (Enhanced Thematic Mapper) images wereobtained, which captured in 7/4/1999, 3/6/2000, 13/6/2001 and 19/4/2002. ERDAS IMAGINE9.1 software was used for the purposes of digital image processing and
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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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البغدادي, عبد الصاحب, حسين الموسوي, and سراء العذاري. "Estimation of land cover areas in Najaf governorate using remote sensing techniques." Kufa Journal of Arts 1, no. 14 (2012): 47–68. http://dx.doi.org/10.36317/kaj/2012/v1.i14.6288.

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In order to find out the temporal classification of the Earth's appearance for the current period, the study dealt with the analytical approach for the purpose of analyzing and displaying satellite visuals through classification, analysis and automated interpretation through software for remote sensing techniques through the (ERDAS) program, as it is an integrated program that contains supervised classification and non-directed (Classification Unsupervised) and (Global Mapper) program for the purpose of cutting satellite visuals, which consist of four satellite visuals (Landsat 7) to field vis
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Badea, C. "The irrationality of certain infinite series." Glasgow Mathematical Journal 29, no. 2 (1987): 221–28. http://dx.doi.org/10.1017/s0017089500006868.

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The aim of this paper is to prove the irrationality of a certain class of infinite series. The main theorem is related to some results due to Erdos and Straus [7], Erdos [5] and Sándor [15]. As applications of the main result, the solutions of two problems posed by Erdös and Graham [6] are given, among others.
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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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Merlin Mathew, Rincy, S. Purushothaman, and P. Rajeswari. "Performance comparisons of particle swarm optimization, echo state neural network and genetic algorithm for vegetation segmentation." International Journal of Engineering & Technology 7, no. 1.1 (2017): 184. http://dx.doi.org/10.14419/ijet.v7i1.1.9286.

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This article presents the implementation of vegetation segmentation by using soft computing methods: particle swarm optimization (PSO), echostate neural network(ESNN) and genetic algorithm (GA). Multispectral image with the required band from Landsat 8 (5, 4, 3) and Landsat 7 (4, 3, 2) are used. In this paper, images from ERDAS format acquired by Landsat 7 ‘Paris.lan’ (band 4, band 3, Band 2) and image acquired from Landsat 8 (band5, band 4, band 3) are used. The soft computing algorithms are used to segment the plane-1(Near infra-red spectra) and plane 2(RED spectra). The monochrome of the tw
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34

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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Razafinimaro, Arisetra, Aimé Richard Hajalalaina, ZoJaona Tantely Reziky, Eric Delaitre, and Avisoa Andrianarivo. "Landsat8 Satellite Image Classification with ERDAS for Mapping the Kalambatritra Special Reserve." American Journal of Remote Sensing 9, no. 1 (2021): 16. http://dx.doi.org/10.11648/j.ajrs.20210901.12.

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36

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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37

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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&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; 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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38

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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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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Dali Khalaf Hameed. "Spatial Analysis to Estimate Runaff Using Scs (CN) to Wadi Al mur Watershed North of Iraq." Tikrit Journal of Pure Science 21, no. 5 (2023): 110–21. http://dx.doi.org/10.25130/tjps.v21i5.1037.

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The study aims at analyzing spatial and DEM data by the use of ArcGis, WMS, Global Mapper, and Erdas programas for finding hydrological Such data as climate and soil components have been analysed ,in addition to the classification of soil utilization and soil covering. The present study concludes by the use of the American soil conservation Service hypothesis SCS) which is known as Curve Number (CN)through the integrating of Remote Sensing (RS)technigue and the GIS to evaluate the water flow rate (QV) at times of rainfall (40185278 m3/ per – year).Implementing this model shows that the basin o
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L. M. Nagendra Kumar M, D. Sai Gangadhara Rao, P. Venu, H. V. Hema Kumar, and P. R. K. Prasad. "Irrigation Performance Assessment in Krishna Western Delta Using Remote Sensing and GIS." Journal of Agricultural Engineering (India) 48, no. 2 (2024): 48–51. http://dx.doi.org/10.52151/jae2011482.1442.

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Satellite provides a convenient platform to observe earth features, capable of giving spatial data, which is continuous in nature. Satellite imageries at regular intervals are useful in generating information on the status of irrigation commands at different time intervals for performance evaluation. The present study was carried out in Krishna Western Delta (KWD), with the data of IRS P6 (Resource Sat-I) LISS III to evaluate the overall performance of irrigation during Kharif 2005 in Modukur command using performance indicators and comparing with historical values using Earth Resource Data An
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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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Al-Azzawi, Thair Mudher Fahmy. ""تكامل تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية لكشف التغيرات في الغطاء الارضي واستعمالات الارض و في بحيرة حمرين والمناطق المحيطة بها "". Al-Adab Journal, № 130 (15 вересня 2019): 111–30. http://dx.doi.org/10.31973/aj.v1i130.646.

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هدفت هذه الدراسة الى استخدام منهج تطبيقي تحليلي لمراقبة وكشف التغيرات وتحليل وانتاج خرائط استعمالات الارض والغطاء الارضي لبحيرة حمرين والارضي المحيطة بها الواقعة الى الشمال من وسط العراق خلال الفترة من 1984 – 2016 باستخدام تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية كمساهمة تكفل الدقة العالية في التخطيط والادارة في مشاريع التنمية المختلفة .&#x0D; تم استخدام تقنيات الاستشعار عن بعد لانتاج خريطة لاصناف استعمالات الارض- الغطاء الارضي بالاعتماد على البيانات الفضائية للقمر الصناعي لاندسات - 8 للمتحسس TM والملتقطة عام 2013 نظرا لافضليتها من حيث الخصائص النوعية لهذا الغرض في الدراسة مقارتة ببقية
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Gargi, Bindal Ashish Anand Pranav Kumar Azeem, and Mishra &. Praveen Kalura Nitin. "LAND USE LAND COVER CLASSIFICATION USING ARC-GIS AND ERDAS TOOL - A REVIEW." International Journal of Advances in Engineering & Scientific Research, Vol.4, Issue 2, Feb-Apr-2017 (2017): pp 65–70. https://doi.org/10.5281/zenodo.571575.

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In India rapidly growing urban population has become cause of worry among the country ‘s urban and town planners for organized urban planning. The substantially growing urban areas have led to sharp land use land cover changes. With the remote sensing technology Land-Cover/Land-use, concept is taken as a decisive item of necessary tasks in order to execute a series of significant works, such as predicting land-use change, preventing natural calamity, managing and planning of land use, protecting surroundings, etc. Accurate and dependable information over land use and land cover is required to
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Gargi, Bindal1, Anand1 Ashish, Kumar1 Pranav, Azeem, Mishra Nitin, and Kalura2 Praveen. "LAND USE LAND COVER CLASSIFICATION USING ARC-GIS AND ERDAS TOOL - A REVIEW." International Journal of Advances in Engineering & Scientific Research 4, no. 2 (2017): 65–70. https://doi.org/10.5281/zenodo.10774985.

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<strong>Abstract</strong><strong>: </strong> &nbsp; &nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; In India rapidly growing urban population has become cause of worry among the country &lsquo;s urban and town planners for organized urban planning.&nbsp; The substantially growing urban areas have led to sharp land use land cover changes. With the remote sensing technology Land-Cover/Land-use, concept is taken as a decisive item of necessary tasks in order to execute a
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48

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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Akay, A. E., B. Gencal, and İ. Taş. "SPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 31–35. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-31-2017.

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This short paper aims to detect spatiotemporal detection of land use/land cover change within Karacabey Flooded Forest region. Change detection analysis applied to Landsat 5 TM images representing July 2000 and a Landsat 8 OLI representing June 2017. Various image processing tools were implemented using ERDAS 9.2, ArcGIS 10.4.1, and ENVI programs to conduct spatiotemporal change detection over these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection analysis. Image classification revealed that there are five significant l
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Al-Zwbaidi, Halima Ibrahim Ali. "Assessing the Status of Drought Using Remote Sensing: An empirical study in the Western areas of the Taif district in Saudi Arabia." Journal of Arts and Social Sciences [JASS] 6, no. 3 (2015): 61. http://dx.doi.org/10.24200/jass.vol6iss3pp61-74.

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This study aimed to utilize spectral indices in investigating the current drought of Taiff district in the 26 years (1984-2010). The study relies on processing and analysing of satellite data through several professional computer programs including ER Mapper, ERDAS and ArcGIS, where several spectral indices were used to evaluate the extent of the drought. The indices used in this study are OSAVI, VCI, TCI and VHI. Considering the results of the study, the indices: VIC, TCI, VHI and OSAVI which generally illustrate the deterioration in the ecosystem in the study area that can be considered now
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