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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 (October 1, 2020): 597–98. http://dx.doi.org/10.14358/pers.86.10.597.
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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 (July 15, 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 workflow models. The complex Physics of Notations theory was applied to the visual vocabulary on ERDAS IMAGINE Spatial Model Editor. The results were supplemented and verified using the eye-tracking method. The evaluation of user gaze and the movement of the eyes above workflow models brought real insight into the user’s cognition of the model. The main findings are that ERDAS Spatial Model Editor mostly fulfils the requirements for effective cognition of visual vocabulary. Namely, the semantic transparency and dual coding of symbols are very high, according to the Physics of Notations theory. The semantic transparency and perceptual discriminability of the symbols are verified through eye-tracking. The eye-tracking results show that the curved connector lines adversely affect the velocity of reading and produce errors. The application of the Physics of Notations theory and the eye-tracking method provides a useful evaluation of graphical notation as well as recommendations for the user design of workflow models in their practice.
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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 natural colors by all kinds of surface features of SPOT-5 image.
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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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Kaimaris, Dimitris, Petros Patias, and Maria Sifnaiou. "UAV and the comparison of image processing software." International Journal of Intelligent Unmanned Systems 5, no. 1 (January 3, 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 two software tools are almost equivalent, while the accuracies of their products are similar to the accuracies of the external orientations of drone images. Originality/value Comparison of image processing software.
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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 spectrum of foreign body" and "synonyms spectrum" than unsupervised classification method, and optimize classification images, improved information extraction accuracy. The application shows the classification result is consistent with the actual situation and it laid the foundation for land to have the rational planning and use.
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FERNANDES, Márcia Rodrigues de Moura, Ronie Silva JUVANHOL, Daniel Henrique Breda BINOTI, Gilson Fernandes da SILVA, Márcio BERNARDI, Josué Pedro dos Santos BORGES, and Hélio Garcia LEITE. "APLICAÇÃO DE CLASSIFICADORES CONVENCIONAIS E REDE NEURAL ARTIFICIAL PARA MAPEAMENTO DE UMA IMAGEM VANT." Geosciences = Geociências 36, no. 4 (January 17, 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 algoritmo ISODATA. Ao final, pode-se concluir que a rede neural mostrou ser um paradigma eficiente para a classificação de imagens.
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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 photographs it was necessary to use some corrections; such as highlighting pen techniques, namely Kernel Processor Low-Frequency and High-Frequency filters, belonging to space operations. Photographs, modified in this way, served for a construction of individual training sets, which were consequently used within individual classification methods of directed classification in each comparative software. Self-classification took place at the level of a particular tree species. Classification accuracy was determined by comparison of results and reference data from the terrain research.The outcome is, that the best classification for oak and ash was in combination with TopoL program, classification according to gravity centre and combination of solation + insolation signature of the treetop parts with an aggressive shade.On the contrary, for spruce and larch was the best classification in combination with software Erdas Imagine, classification roles of intervals mahalanobis with combination of solation signature of the treetop parts, along these tree edges with an aggressive shade.
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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 (April 1999): 519–31. http://dx.doi.org/10.1111/0031-868x.00140.
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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 (February 2, 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 albedo foi estimado pelos métodos de Liang (2000) e Tasumi et al. (2008) visando a precisão das estimativas. Os resultados evidenciam que a precipitação é identificada como fator de controle decisivo da tendência dos índices de vegetação e, indiretamente, do albedo. O município de Caraúbas foi o que apresentou menor índice de vegetação, tanto pelo IVDN quanto pelo IVAS, enquanto o município de São Sebastião do Umbuzeiro apresentou os índices mais elevados. O mês de fevereiro apresentou os maiores valores de albedo para os municípios e menores valores de IVDN. Por outro lado, o mês de maio apresentou os valores menores de albedo e maiores de IVDN e IVAS, devido a curta estação chuvosa na região, que é compreendida entre fevereiro, março e abril. A B S T R A C T The aim of this study was to present the variations of albedo, index of normalized difference vegetation (NDVI) and the vegetation index adjusted for soil (SAVI) to the basin of the upper course of the Rio Paraiba, composed of 18 municipalities. The parameters were obtained from images Moderate Resolution Imaging Spectroradiometer (MODIS) Earth platform, with all the necessary computational routines performed by the ERDAS Imagine program 8.5 images related to Julian days were used:. 025, 033, 089, 0.97 , 137, 169, 201, 233, 273, 281, 313, 337, 2013. Albedo were estimated by the methods of Liang (2000) and Tasumi et al. (2008) aimed at the precision of the estimates. Results indicateds show that precipitation may be is identified as a decisive factor controlling the trend of vegetation indices and, indirectly, albedo. The municipality Caraúbas showed the lowest vegetation index, NDVI as much by the SAVI, while the city of São Sebastião do Umbuzeiro showed the highest levels. The month of February had the highest albedo values for municipalities and lower values of NDVI. Moreover, the month of May had the lowest albedo and higher NDVI values and SAVI due to the short rainy season in the region, comprising between February, March and April. Keywords: Caatinga; wettest quarter; dry and wet seasons.
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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 the considered programs were identified in relation to various tasks. Key words: airborne laser scanning, software, geoinformation mapping, computational efficiency.
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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 (January 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 coastal development in order to achieve sustainable and integrated coastal development.
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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 (July 7, 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 elaboração de um mapa temático que represente tal aspecto para a bacia hidrográfica do Colônia. Foi analisado a partir de imagens de satélite Landsat 5TM, com aplicação técnicas de sensoriamento remoto nas imagens, principalmente correção atmosférica, por meio da transformação de números digitais em valores de reflectância, através do software ATCOR do Erdas Imagine 9.2, o que reduziu o efeito da atmosfera sobre os elementos da imagem e com realce das diferentes classes, e permitiu uma classificação mais acurada com distinção satisfatória entre os níveis de degradação.Palavras-chave: pastagens degradadas, sensoriamento remoto, classificação. Degradation Level of Grassland of River Basin Colombia-BA Using Landsat 5 TM ABSTRACT The lack of proper management over the years led to negative changes in pasture quality of Colonia’s river basin, as featured on most degraded, with soil without carrying capacity of pastures, this brings the consequence of low productivity, characterized by reduced cattle density in the region and increased soil erosion which causes siltation and reduction of suitable areas for agricultural activities, as well as other factors that affect the geosystem of the basin. So this study aimed to examine the levels of pasture degradation, including development of a thematic map that represents that aspect to the Colonia’s river basin. Was analyzed based on Landsat satellite images 5TM, with application techniques of remote sensing in images, mainly atmospheric correction, through the transformation of values of digital numbers reflectance, using the software ATCOR of Erdas Imagine 9.2, which reduced the effect of atmosphere on the elements of the image and highlight the different classes, and allowed a more accurate classification with satisfactory distinction between the levels of degradation. Keywords: degraded pastures, remote sensing, classification
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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 (July 8, 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 changes), as well as correlation analysis of the synthesized image using the feature space. The implemented methods of detecting changes showed their efficiency, but none of them can give consistently high results when detecting changes in territories in automatic mode.
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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 quantitative terms. The results presented allowed us to create recommendations on the usage of specific software for airborne laser scanning data processing for Smart City projects.</p>
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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 used as the reference. The overall classification accuracy is 82%, with the Kappa statistic of 0.81. By counting the totally pixel acreage, it was gotten that the vegetation coverage was 46% and the cultivated land coverage ratio was 31% in the study area.
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Yuan, Debao, Ximin Cui, Yahui Qiu, Xueyun Gu, and Li Zhang. "Accuracy Analysis on the Automatic Registration of Multi-Source Remote Sensing Images Based on the Software of ERDAS Imagine." Advances in Remote Sensing 02, no. 02 (2013): 140–48. http://dx.doi.org/10.4236/ars.2013.22018.
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Finn, Michael P., E. Lynn Usery, Douglas J. Scheidt, Gregory M. Jaromack, and Timothy D. Krupinski. "An Interface between the Agricultural Non-Point Source (AGNPS) Pollution Model and the ERDAS Imagine Geographic Information System (GIS)." Annals of GIS 12, no. 1 (June 2006): 10–20. http://dx.doi.org/10.1080/10824000609480612.
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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 (March 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 porcentagem de área com cobertura florestal (31,21%). O PNM Três Rios não apresentou fragmentos florestais com pelo menos 0,5 ha. As unidades de conservação do município apresentam um elevado número de fragmentos florestais relativamente pequenos, com formatos irregulares e grandemente isolados, o que contribui para a perda de biodiversidade.
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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 (August 31, 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 established as forest and shrub land. Severe land cover changes was found to have occurred from 1987-2000, where shrub land reduced by -19%, and forestry reduced by -72%. In 2000 – 2014 shrub land reduced by-45%, and forestry reduced by -64%. Forestry and shrub land were found to be consistently reducing.
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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 (October 20, 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 maps. Total percentage change and total rate of change for the entire trend after conversion are thus: Saltwater Wetland 23.44%, to- 2.17, Freshwater Wetland - 26.44%to- 11.49 Fallow land- 47.13%to- 5.41 Built-up Area 43.33% to 7.41Water bodies 43.36% to 3.06.The study recommended that activities shrinking wetlands size should be thoroughly put to check by the government and better efforts should be focused on those activities that inspire wetland conservation.
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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 (August 5, 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 method. ERDAS Imagine 2015 and ArcGIS 10.5 software’s were sued to classify the satellite image and assess the land use/land cover changes for the above periods. The land use/land cover change detection analysis revealed that built up area was increased compared to 2001 and all other classes decreased. Urbanization is the primary cause of the land use and land cover changes for the study area.
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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 (May 23, 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 os índices espectrais, NBR, NBR2 e NDVI extraídos das imagens Landsat 8 e focos de calor fornecido pelo Banco de Dados de Queimadas do INPE (Instituto Nacional de Pesquisas Espaciais) no período de 2013 a 2017. Os índices espectrais foram extraídos de 25 imagens referente a órbita 226 e ponto 071, utilizando o programa Erdas Imagine e os mapas de fogo através do estimador de Kernel presente no ArcGis 10.3 a fim de avaliar a distribuição e o padrão das queimadas na área proposta. Os resultados avaliados a partir do conjunto dos índices espectrais e dos mapas de estimativa de Kernel mostraram que o município de Cuiabá apresentou um padrão sazonal de queimadas, evidenciando maiores volumes de queimadas nas formações savânicas e nos terrenos de declividades da classe suave-ondulado em todo o período estudado.Palavras-chave: OLI, precipitação, padrão espacial. Dynamics of Fires in the Municipality of Cuiabá-MT by Remote Sensing A B S T R A C T The Brazilian Cerrado biome has several phytophysiognomies and a high rate of human occupation, with emphasis on agricultural production. Despite its biological potential, it faces constant threats of burning due to the conversion of vegetation into plots for agriculture and pasture. In this context, the objective of this work was to identify and relate the spatial and temporal dynamics of the fires in the municipality of Cuiabá-MT, with the microclimate variables, classes of vegetation and slopes of the land through the use of remote sensing resources. The spectral indexes NBR (Normalized Burn Ratio, NBR2 (Variation of Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) extracted from Landsat 8 images and heat sources provided by the INPE (Instituto Nacional de Space Research) from 2013 to 2017. The spectral indexes were extracted from 25 images referring to orbit 226 and point 071, using the Erdas Imagine program, and the fire maps of the Kernel estimator present in ArcGis 10.3 in order to evaluate the distribution and the pattern of fires in the proposed area. There was a 50.68% coincidence of the total number of hot spots on the reference burned areas, with a higher percentage of 72.12% in 2017 and lower in 2014 of 12.95%. These results made it possible to elaborate maps with a characteristic burning pattern and to highlight the classes most affected by fire throughout the studied period. Keywords: OLI, fire, spatial pattern.
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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 (April 14, 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 variação do limite do reverso do campo de dunas, onde se encontra a área urbana edificada do balneário. A metodologia foi empregada a partir de imagens orbitais adquiridas no software Google Earth Pro® e técnicas realizadas nos softwares ArcGIS 10.3.1® e ERDAS Imagine 2013®. A variação das linhas de costa analisadas foi obtida a partir do Método do Polígono de Mudança, por meio de uma linha de controle aplicada aos limites praia-duna frontal e reverso da duna. O Balneário Barra do Chuí, no período estudado, apresentou predomínio de taxas de erosão das dunas frontais, onde depósitos pleistocênicos estão sendo diretamente trabalhados pela ação marinha. O reverso das dunas apresentou tendência de avanço em relação à retroterra. Constatou-se que em alguns locais o transporte eólico de sedimentos está soterrando algumas residências. Palavras-chave: Limite praia-duna. Reverso das Dunas. Geotecnologias. Método do Polígono de Mudança. Foredune variation in the Barra do Chui coastal settlement, southern Brazil, between 2005-2018ABSTRACT Foredunes are natural features formed from sandy beaches, due to the interaction of wind, sand, and vegetation. However, human action becomes an increasingly relevant variable in its dynamics, causing environmental problems. The present work aims to quantify and characterize, from a time series of orbital images in the interval between 2005 and 2018, the dune mobility in the Barra do Chui coastal settlement, specifically the variation in the base of the frontal dunes, in order to check erosion and sedimentation at the edge of the resort, as well as the variation of the limit of the reverse of the dune field, where the built-up area of the resort is located. The methodology was used based on orbital images acquired in the Google Earth Pro® software and techniques performed in the ArcGIS 10.3.1® and ERDAS Imagine 2013® software. The variation of the coastlines analyzed was obtained from the Change Polygon Method, through a control line applied to the frontal and reverse dune beach-dune limits. The Barra do Chui coastal settlement, in the studied period, presented a predominance of erosion rates of the frontal dunes, where Pleistocene deposits are being directly worked by the marine action. The reverse side of the dunes showed an upward trend in relation to the retrograde, in fact, in some places, wind sediment transport has already been burying some homes. Keywords: Dune-Beach Limit. Dunes Reverse. Geotechnologies. Change Polygon Method
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Kouder, Noor Zubair. "Satellite image classification using proposed singular value decomposition method." Iraqi Journal of Physics (IJP) 13, no. 28 (February 4, 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 that taken place in years 1999 and 2014;comparing with 1990. The results from classification indicated thatwater and hills are decreased, while vegetation, wet land and barrenland are increased for years 1999 and 2014; comparable with 1990.The classification accuracy was done by number of random pointschosen on the study area in the field work and geographical data thencompared with the classification results, the classification accuracy forthe proposed SVD method are 92.5%, 84.5% and 90% for years1990,1999,2014, respectivety, while the classification accuracies forunsupervised classification method based mean value are 92%, 87%and 91% for years 1990,1999,2014 respectivety.
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Sun, Tong He, and Guo Qing Yan. "Land Classification Method and Analysis Based on Remote Sensing Technology." Advanced Materials Research 726-731 (August 2013): 4582–86. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4582.
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In recent years, the research about land utilization changing already became one of the research about global changing's key topics, the land utilization classification, as its sub-topic, also attract men's high attention. Remote Sensing (RS) and the Geographic Information System (GIS) as the two big spatial technology tool to support modern geography, their union arouses people's universal interest and research. Because the remote sensing information has the advantage of covering wide area, timeliness and current situation, quick speed, short cycle and reliable accurate as well as time-saving, effort-saving, low status merit expense, it is widely used in the land resource and land utilization situation investigation at present, land utilization change monitor and so on. 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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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 (February 20, 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 vegetation index (NDVI), tasseled cap, principal component analysis (PCA), post-classification comparison and GIS. The results of all these various techniques were used by the authors to study change detection of the geographic locale of the test area. Image processing and GIS techniques were performed using Intergraph Image analyst 8.4 and GeoMedia professional version 6, ERDAS Imagine 8.7, and ArcGIS 9.2. Results obtained were discussed and analyzed in a comparative manner and a conclusion regarding the best method for change detection of the test area was derived.
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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 region. Among the maximum values identified in each of the months, nine occurred in Bahia including the maximum value of the whole series in July in the region near Roda Velha in Bahia and has a value of 4.88E+15 1/cm2, the state with the lowest occurrence of high concentration values is Rio Grande do Norte, but the lowest mean (2.06E+15 1/cm2) and the lowest value (1.75E+15 1/cm2) occur in the region near the city of São Luís (Maranhão) at 2.06E+15 1/cm2.
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Arif Maullana, Danang, and Arief Darmawan. "Perubahan Penutupan Lahan Di Taman Nasional Way Kambas." Jurnal Sylva Lestari 2, no. 1 (April 4, 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, while the data is processed by descriptive attributes and analyzed qualitatively. Land cover types in the Way Kambas National Park is divided into 9 classes of forest, wetland forests, wetlands, shrubs, reeds, open land, water bodies, lading, and no data (cloud and cloud shadow). The largest land cover on the forest zone and the intensive use of coarse grass while special conservation zone and the core zone has the largest forest cover in the form of forest. Keyword : GIS, land cover, Way Kambas National Park
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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 (December 1, 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, incluyendo baja calidad del escaneo digital y el contraste radiológico. Los resultados muestran que luego de aplicar compensación radiológica y filtros vectoriales, se pueden generar DEM de calidad satisfactoria a partir de estas imágenes. El Error cuadrático medio (RMSE, por sus siglas en inglés) se mantuvo por debajo del pixel, independientemente de la resolución espacial. Las imágenes CARTA-2005, aun cuando deben utilizarse con precaución, representan una fuente valiosa de información espacial para el territorio costarricense.</p>
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Amarsaikhan, D., V. Battsengel, E. Egshiglen, R. Gantuya, and D. Enkhjargal. "Applications of GIS and Very High-Resolution RS Data for Urban Land Use Change Studies in Mongolia." International Journal of Navigation and Observation 2011 (December 27, 2011): 1–8. http://dx.doi.org/10.1155/2011/314507.
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The aim of this study is to analyze the urban land use changes occurred in the central part of Ulaanbaatar, the capital city of Mongolia, from 1930 to 2008 with a 10-year interval using geographical information system (GIS) and very high-resolution remote sensing (RS) data sets. As data sources, a large-scale topographic map, panchromatic and multispectral Quickbird images, and TerraSAR synthetic aperture radar (SAR) data are used. The primary urban land use database is developed using the topographic map of the study area and historical data about buildings. To extract updated land use information from the RS images, Quickbird and TerraSAR images are fused. For the fusion, ordinary and special image fusion techniques are used and the results are compared. For the final land use change analysis and RS image processing, ArcGIS and Erdas imagine systems installed in a PC environment are used. Overall, the study demonstrates that within the last few decades the central part of Ulaanbaatar city is urbanized very rapidly and became very dense.
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Luffy, Wisam Abbas. "The Landsat Imagery Gap Filling using Median Filter Method." Iraqi Journal of Physics (IJP) 17, no. 42 (August 31, 2019): 158–62. http://dx.doi.org/10.30723/ijp.v17i42.455.
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The Enhanced Thematic Mapper Plus (ETM+) that loaded onboard the Landsat-7 satellite was launched on 15 April 1999. After 4 years, the image collected by this sensor was greatly impacted by the failure of the system’s Scan Line Corrector (SLC), a radiometry error.The median filter is one of the basic building blocks in many image processing situations. Digital images are often distorted by impulse noise due to errors generated by the noise sensor, errors that occur during the conversion of signals from analog-to-digital, as well as errors generated in communication channels. This error inevitably leads to a change in the intensity of some pixels, while some pixels remain unchanged. To remove impulse noise and improve the quality of the image we are working on. In this paper, the Landsat -7 data was corrected from line droop out radiometric errors using the median filter method. we studied the median filter and offer a method based on an improved median filtering algorithm, [2]. We apply the median filter (3 x 3) to correct the image taken by of Landsat 7 and correct it, and we will restore the damaged pixels using the Erdas imagine program.
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Mbaya, L. A., G. O. Abu, Yila Caiaphas Makadi, and D. M. Umar. "Effect of Urbanization on Land use Land Cover in Gombe Metropolis." International Journal on Research in STEM Education 1, no. 1 (November 30, 2019): 22–29. http://dx.doi.org/10.31098/ijrse.v1i1.58.
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This study examined the integration of Remote Sensing and Geographic Information System (RS/GIS) for analyzing land use and land cover dynamics in Gombe Metropolitan, the Gombe State capital for the period 1976 to 2016. Land sat (TM) images of 1976, 1996and 2016 were used. The study employed supervised digital image classification method using Erdas Imagine 9.2 and Arc GIS 10.5 software and classified the land use into undisturbed vegetation, sparse vegetation, Settlements, Farmlands, Rock outcrops, Bare surfaces. The images were analyzed via georeferencing, image enhancement, image resampling and classification. The results obtained show an increasing settlements (from 0.36% - 4.01%) and farmlands (from 24.8% - 51.2%), over a decreasing of other LULC classes (bare surfaces, undisturbed and sparse vegetation, and rocky outcrops) for the time period of 1976 to 2016. These results could help city planners and policy makers to attain and sustain future urban development. It is therefore recommended that encouragement should be given to people to build towards the outskirts, like New mile 3 and Tumfure, etc through the provision of incentives and forces of attraction that is available at the city center in these areas to avoid the problem of overcrowdings.
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Mamnun, M., and S. Hossen. "Spatio-temporal analysis of land cover changes in the evergreen and semi-evergreen rainforests: A case study in Chittagong Hill Tracts, Bangladesh." International Journal of Forestry, Ecology and Environment 2, no. 2 (2020): 87–99. http://dx.doi.org/10.18801/ijfee.020220.10.
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The main purpose of this study is to describe the spatio-temporal analysis of land use and land cover status and to identify land cover changes, especially of deforestation and degradation in evergreen, semi-evergreen rainforests of Chittagong Hill Tracts from 1988-2018 by using Landsat 8 OLI-TIRS and Landsat 5 TM satellite imagery. The ArcGIS v10.5 and ERDAS Imagine v15 software were used to process satellite imageries and assess quantitative data for land-use change assessment of this study area. The study revealed that the area of forest land and water body decreased by 17.92% and 5.43% respectively from 1988-2018. On the other hand, the area of agricultural land, barren land and settlement increased by 45.66%, 312.08% and 240.01% respectively. If the present condition remains constant, the projection of future land-use/ land cover changes for the next 15 years will predict that more than 7.37% dense forest (2253.83 ha) land will be decreased and 19.60% agricultural will be converted to other land uses. This study suggests that proper policy should be adopted urgently to conserve residual forest coverage and restore it to regain its past appearance.
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Koppad, A. G., Pallavi P. Banavasi, and Syeda Sarfin. "The Assessment of land use land cover and carbon sequestration in forests of Joida Taluk of Uttar Kannada district using Remote sensing technique." Journal of Applied and Natural Science 12, no. 3 (August 20, 2020): 344–48. http://dx.doi.org/10.31018/jans.v12i3.2317.
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The study was conducted in Joida Taluk of Uttar Kannada district, Karnataka to assess the land use land cover (LULC) and carbon sequestration of the forest during the year 2019-20. The ground truth data for different LULC was collected using GPS, and data was used for classification of IRS LISS 4 data using maximum likelihood classifier in ERDAS imagine software. The sample plots of 23.2 m X 23.2 m were laid out randomly in forests and growth parameters (tree height and diameter) were recorded, and biomass was estimated using the standard formula. There are eight LULC classes’ viz., dense forest, moderately dense forest, open/sparse forest, scrub forest, agriculture, settlement, horticulture plantation and waterbody. The overall accuracy of the classification was 97.09%. The total biomass in Joida Taluk from four forest classes (dense forest, moderately dense forest, open/sparse forest and scrub forest) was 44.16 million m3 and carbon sequestered was 15.57 million tonnes. The NDVI values ranging from -0.23 to 0.74, indicating a higher value for dense forest. Based on this study, it is concluded that forests have potential in carbon sequestration, which in turn helps in mitigating the climate change.
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Eyoh, Aniekan Effiong, and Akwaowo Ekpa. "Assessment of Change in the Built-Up Index of Uyo Metropolis and Its Environs Using Remote Sensing." European Journal of Engineering Research and Science 4, no. 6 (June 19, 2019): 84–89. http://dx.doi.org/10.24018/ejers.2019.4.6.1349.
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The research was aim at assessing the change in the Built-up Index of Uyo metropolis and its environs from 1986 to 2018, using remote sensing data. To achieve this, a quantitative analysis of changes in land use/land cover within the study area was undertaken using remote sensing dataset of Landsat TM, ETM+ and OLI sensor images of 1986, 2000 and 2018 respectively. Supervised classification, using the maximum likelihood algorithm, was used to classify the study area into four major land use/land cover types; built-up land, bare land/agricultural land, primary swamp vegetation and secondary vegetation. Image processing was carried out using ERDAS IMAGINE and ArcGIS software. The Normalised Difference Built-up Index (NDBI) was calculated to obtain the built-up index for the study area in 1986, 2000 and 2018 as -0.20 to +0.45, -0.13 to +0.55 and -0.19 to +0.63 respectively. The result of the quantitative analysis of changes in land use/land cover indicated that Built-up Land had been on a constant and steady positive growth from 6.76% in 1986 to 11.29% in 2000 and 44.04% in 2018.
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Santiago, Dimas Barros, and Heliofábio Barros Gomes. "Estudo de Ilhas de Calor no Município de Maceió/AL, por meio de Dados Orbitais do Landsat 5 (Heat Islands in the City of Maceió/AL using Orbital Data from Landsat 5)." Revista Brasileira de Geografia Física 9, no. 3 (June 5, 2016): 793. http://dx.doi.org/10.26848/rbgf.v9.3.p793-803.
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Nas últimas décadas, o processo de urbanização se expandiu de forma muito rápida e, atualmente, metade da população do planeta, vive em áreas urbanas (MENDONÇA, 2009, p. 175). Assim a cidade tornou-se a maior forma de expressão das modificações antropogênica, onde fica nítida a relação conturbada entre o homem e a natureza. Para a pesquisa foram utilizadas 3 imagens obtidas pelo satélite Landsat 5-TM, adquiridas no Catálogo de Imagens - DGI - INPE (http://www.dgi.inpe.br/CDSR/). As imagens constam de 7 bandas espectrais cada uma. As imagens correspondem à passagem do satélite pelo quadrante órbita/ ponto 214-67 em 03/09/2003, 26/08/2006 e 17/03/2011. Foram obtidos dados horários de temperatura do ar no site do BDMEP/INMET (http://www.inmet.gov.br/projetos/rede/pesquisa/), da estação localizada na Universidade Federal de Alagoas. O processamento das imagens foi desenvolvido através de modelos da ferramenta Model Maker do software ERDAS Imagine 9.2 e QGIS 2.12, gerando o mapeamento da temperatura na superfície terrestre, que serviu como base para a identificação das ilhas de calor. Diante do exposto, buscou identificar e analisar através das imagens do satélite TM Landsat 5, a temperatura da superfície terrestre da cidade de Maceió/AL destacando as áreas com maiores temperaturas, e identificando o efeito das ilhas de calor na zona urbana da cidade. Os resultados mostraram as variações espaciais de temperatura quando comparado à malha urbana com a zona rural, caracterizando assim o fenômeno de ilhas de calor. Observou-se o aumento das temperaturas de superfície quanto ao desenvolvimento da malha urbana e a variação temporal, destaque para o ano de 2011, onde ficaram notório os valores maiores que 35 °C com tonalidades em preto, onde a cidade tem maior densidade construída. Estes resultados poderão servir de subsídios na elaboração de estratégias para minimizar o desconforto térmico das áreas onde ocorrem ilhas de calor.
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Temurçin, Kadir, and Gizem Uluşar. "Analysis of Spatial Development in and Around the City of Isparta through Remote Sensing and Geographic Information Systems." Studies of the Industrial Geography Commission of the Polish Geographical Society 22 (June 1, 2013): 120–32. http://dx.doi.org/10.24917/20801653.22.9.
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Remote Sensing is a method of examination used in the study of resources on earth without any physical contact. It is a method by which the characteristics of the land below are recorded from space and sky. Determining the characteristics of natural and cultural resources of earth, sustainable exploitation of these resources in the most effective ways and continuous monitoring of the changes in these resources are fundamental to being a developed country. For a sustainable land use and urbanization, data about the unstable natural environment must be collected and monitored at regular intervals, and in order to do these, Remote Sensing (RS) and Geographical Information Systems (GIS) are employed. Images obtained through RS method can be analyzed for the accurate use of the data available. This study seeks to determine the spatial development in and around the city of Isparta through digital imaging processing techniques on different satellite images which belong to different years. Images from satellites ASTER and LANDSAT; information on the quarters in Isparta and the city plan and ERDAS IMAGINE 9.1 program were used in the study. The spatial development of the city of Isparta was studied on the basis of the satellite images obtained in the years 1987, 2000 and 2010 and this study was integrated into GIS. Having analyzed how much change occurred and which way it trended, important information was collected which will be used as source for future studies to be carried out on Isparta. It was observed that while residential areas increased, amount of forested land, and agricultural areas decreased during the periods studied.
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Antwi-Agyei, Philip, Felix Kpenekuu, Jonathan N. Hogarh, Kwasi Obiri-Danso, Robert C. Abaidoo, Erik Jeppesen, and Mathias Neumann Andersen. "Land Use and Land Cover Changes in the Owabi Reservoir Catchment, Ghana: Implications for Livelihoods and Management." Geosciences 9, no. 7 (June 28, 2019): 286. http://dx.doi.org/10.3390/geosciences9070286.
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Reservoir catchments in Ghana have undergone significant changes in recent years with major implications for socio-economic development and local livelihoods. We studied land use and land cover changes and their impacts on livelihoods in the Owabi reservoir catchment from 1970 to 2014 using Landsat, ERDAS Imagine and Arc Geographic Information System (ArcGIS 10.2) software supplemented with participatory approaches including focus group discussions, key informant interviews and questionnaire surveys with 400 households. Our results showed that, since 1970, 24.6% of high-density forests and 15.8% of sparse forests have disappeared, while the built-up area has increased from 9.8% to 56.6%. Additionally, the proportion of bare soil (areas that do not have vegetation cover due to forest clearing and other anthropogenic activities) has increased, while the areas of waterbodies have declined. We identified urbanisation and lack of community involvement in catchment management as the key factors driving the land cover changes that have adversely affected the livelihoods of the local fringe communities. This study highlights the threats from urbanisation to land cover changes and identifies the key drivers of land use change. For effective and sustainable management of natural resources, the local communities should be more actively involved in the decision-making process regarding the management of their individual catchments.
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Oliveira, Jose Diorgenes Alves, Biancca Correia De Medeiros, Jhon Lennon Bezerra Da Silva, Geber Barbosa De Albuquerque Moura, Frederico Abraão Costa Lins, Cristina Rodrigues Nascimento, and Pabrício Marcos Oliveira Lopes. "Space-temporal evaluation of biophysical parameters in the High Ipanema watershed by remote sensing." Journal of Hyperspectral Remote Sensing 7, no. 6 (February 14, 2018): 357. http://dx.doi.org/10.29150/jhrs.v7.6.p357-366.
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The High Ipanema watershed is located in a semiarid region and because of this, becomes more vulnerable and susceptible to the effects of environmental changes and the degradation process, it has serious economic and socio-environmental implications. In recent years with the advancement of remote sensing based on satellite imagery or other platforms, it has become possible to monitor different and large areas of the various biomes in the world. The objective of this study was to identify changes in the vegetation cover conditions in the Alto Ipanema watershed, using spectral analyzes of Landsat-8 OLI / TIRS satellite images, using remote sensing techniques. Landsat-8 OLI / TIRS satellite images were obtained from the United States Geological Survey – USGS, on 10/12/2013, 14/01/2015 and 12/08/2016, where they were processed from ERDAS IMAGINE® Software, version 9.1. The thematic maps of biophysical parameters were processed by ArcGis® 10.2.2 Software. With the biophysical parameters analyzed, it was found that the northwest portion of the watershed presents a considerable area of exposed soils with indication of a high degree of susceptibility to degradation and that the biophysical parameters evaluated by the SEBAL algorithm are efficient in understanding the dynamics of spatial and temporal areas of semiarid environments.
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Hanadi Khalifah Al-Argoubi, Hanadi Khalifah Al-Argoubi. "Coastal Coral Reef in Arabian Gulf between Ras Al Khafji and Ras Tannurah Biogeography and Marine Environment Protection Study." journal of king abdulaziz university marine science 28, no. 2 (February 3, 2018): 43–65. http://dx.doi.org/10.4197/mar.28-2.4.
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This research concerned the coastal reefs in the Arabian Gulf between Ras Al Khafji and Ras Tannurah, to identify the current status of the coral colonies, their geographic distribution, their most important forms and the impacts that affected them. The research is based on the descriptive approach by studying the environment of the coral reefs in the Arabian Gulf, knowledge of the coral species, and it was also based on the spatial analytical approach when studying the geographical distribution of coral reefs by analysis of the images of Landsat 8 OLI using ArcGIS 10.2.2 and Erdas Imagine 2014. Different processing techniques were carried out over the six images, such as: rectification, masking, water column correction, classification, and coral areas survey. The statistics of coral reef obtained from supervised classifications of 2016 in the study area was 78.3 km², which are scattered spots close to the coast except the area between Ras Al Khair to Abu Ali Island, which it is one of the richest areas in coral reefs. The most important coral species that resisted the environmental changes are Favia spp. and Porites compressa. It was also found that oil pollution and the climate change are the most important environmental pressures that have affected the species composition and reduced the area of coral reefs.
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Lumban-Gaol, Y. A., A. Murtiyoso, and B. H. Nugroho. "INVESTIGATIONS ON THE BUNDLE ADJUSTMENT RESULTS FROM SFM-BASED SOFTWARE FOR MAPPING PURPOSES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 623–28. http://dx.doi.org/10.5194/isprs-archives-xlii-2-623-2018.
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Since its first inception, aerial photography has been used for topographic mapping. Large-scale aerial photography contributed to the creation of many of the topographic maps around the world. In Indonesia, a 2013 government directive on spatial management has re-stressed the need for topographic maps, with aerial photogrammetry providing the main method of acquisition. However, the large need to generate such maps is often limited by budgetary reasons. Today, SfM (Structure-from-Motion) offers quicker and less expensive solutions to this problem. However, considering the required precision for topographic missions, these solutions need to be assessed to see if they provide enough level of accuracy. In this paper, a popular SfM-based software Agisoft PhotoScan is used to perform bundle adjustment on a set of large-scale aerial images. The aim of the paper is to compare its bundle adjustment results with those generated by more classical photogrammetric software, namely Trimble Inpho and ERDAS IMAGINE. Furthermore, in order to provide more bundle adjustment statistics to be compared, the Damped Bundle Adjustment Toolbox (DBAT) was also used to reprocess the PhotoScan project. Results show that PhotoScan results are less stable than those generated by the two photogrammetric software programmes. This translates to lower accuracy, which may impact the final photogrammetric product.
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Al-Shammari, A., E. Levin, and R. Shults. "OIL SPILLS DETECTION BY MEANS OF UAS AND LOW-COST AIRBORNE THERMAL SENSORS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 15, 2018): 293–301. http://dx.doi.org/10.5194/isprs-annals-iv-5-293-2018.
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<p><strong>Abstract.</strong> This paper provides an overview of oil spill scenarios and the remote sensing methods used for detection and mapping the spills. It also discusses the different kinds of thermal sensors used in oil spills detection. As UAS is becoming an important player in the oil and gas industry for the low operating costs involved, this research involved working with a cheap thermal airborne sensor mounted on DJI Phantom 4 system. Data were collected in two scenarios, first scenario is collecting data in Michigan’s Upper Peninsula at a petroleum company location and the second scenario was an indoor experiment simulating an offshore spill. The aim of this research is to inspect the capability of Lepton LWIR inexpensive sensor to detect the areas contaminated with oil. Data processing to create classification maps involved using ArcGIS 10.5.1, ERDAS Imagine 2015 and ENVI 5.3. Depending accuracy assessment (confusion matrices) for the classified images and comparing classified images with ground truth, results shows the Lepton thermal sensor worked well in differentiating oil from water and was not a good option when there are many objects in the area of interest. Future research recommendations and conclusions are presented.</p>
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Tiwari, Jagriti, S. K. Sharma, and R. J. Patil. "Land use and Land cover Mapping Based on Normalized Difference Vegetation Index using Remote Sensing and Geographical Information System in Banjar River Watershed of Narmada Basin." Current World Environment 12, no. 3 (December 25, 2017): 678–84. http://dx.doi.org/10.12944/cwe.12.3.19.
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The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of year 2013 was selected for the classification purpose. The NDVI values were generated in ERDAS Imagine 2011 software and LU/LC map was prepared in ARC GIS environment. On the basis of NDVI values five LU/LC classes were recognized in the study area namely river & water body, waste land & habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The forest cover was found to be highly distributed in the study area with an extent of 115811 ha and least area was found to be covered under river and water body (4057.28 ha). This research work will be helpful for the policy makers for proper formulation and implementation of watershed developmental plans.
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Gupta, Garima, R. S. Yadav, and Deepak Maurya. "Decomposition and Nitrogen Dynamics of Tree Pruned Biomass Under Albizia Procera Based Agroforestry System in Semi Arid Region of Bundelkhand, India." Current World Environment 12, no. 3 (December 25, 2017): 725–33. http://dx.doi.org/10.12944/cwe.12.3.24.
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The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of year 2013 was selected for the classification purpose. The NDVI values were generated in ERDAS Imagine 2011 software and LU/LC map was prepared in ARC GIS environment. On the basis of NDVI values five LU/LC classes were recognized in the study area namely river & water body, waste land & habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The forest cover was found to be highly distributed in the study area with an extent of 115811 ha and least area was found to be covered under river and water body (4057.28 ha). This research work will be helpful for the policy makers for proper formulation and implementation of watershed developmental plans.
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Wuyep zitta, Solomon, Diekoer Charity Damak, Hyacinth Madaki Daloeng, Hassan Buhari Arin, and Nankap Latur Binbol. "Spatio-Temporal Analysis of Urban Heat Hazard in Jos Metropolis." BOKKOS JOURNAL OF APPLIED SCIENTIFIC REPORTS 1, no. 2 (March 14, 2021): 35–60. http://dx.doi.org/10.47452/bjasrep.v1i2.24.
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The rapid urbanization has produced a remarkable effect on the surface thermal response. The effects significantly influence urban internal microclimate on a regional scale. This has led to the transformation of the natural landscape into anthropogenic surfaces in urban settlements. In this study, the surface temperature and land cover types retrieved from Landsat ETM+ and OLI images of Jos Metropolis for 2005 and 2019 were analysed. The Erdas imagine 9.2 and ArcGIS 10.1 was used for data preparation and map composition. Thermal band data was used to compute surface temperature maps for the two years and the relationship between land use land cover and surface temperature was analyzed. Results from land use land cover maps between 2005 and 2019 revealed a notable increase with an annual average rate of 5.1 %. Also, urban land development raised surface temperature by 1.360C between 2005 and 2019. Bare land exhibited the high value of surface temperature while vegetation showed low values of surface temperature. The result also shows that there is an occurrence of physiological discomfort in the environment with a very strong heat stress leading to increase in the probability of heat stroke and cardiovascular embarrassment. Focus should be given on the effect of urban growth, growing impervious surfaces and careful greening methods are recommended.
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Kumar, Surender, and Ripudaman Singh. "Geospatial Applications in Land Use/Land Cover Change Detection for Sustainable Regional Development: The Case of Central Haryana, India." Geomatics and Environmental Engineering 15, no. 3 (April 27, 2021): 81–98. http://dx.doi.org/10.7494/geom.2021.15.3.81.
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Timely and accurate detection of land use/land cover (LULC) change is important for the macro and micro level sustainable development of any region. For this purpose, geospatial techniques are the best tool for change analysis as they supply timely, cheaper, precise and up to date information. This paper examines the spatial temporal change trend in LULC in the case of Central Haryana. Landsat 2, 3, 5, 7 and 8 images for the years 1975–2020 for pre‑ and post‑monsoon periods were analyzed for the study. Radiometric correction was performed to derive better information. ArcGIS 10.2 and ENVI 5.3 are used for thematic layout and thematic change preparation. An unsupervised classification using ERDAS IMAGINE 2015 has also been done to classify study area in eight classes. The year 1975 is considered as the base year for change detection analysis. Results showed an increasing trend for the land use classes of built‑up, water body, and agricultural land without waterlogging in the pre‑ and post‑monsoon periods between 1975 and 2020. Remaining land use classes of agriculture with waterlogging, open waterlogged area, vegetation and fallow land/sand dunes decreased during the same period. Increased human activities have changed the LULC in the region and have had a great impact on its sustainable regional development.
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Suresh Babu, J., and T. Sudha. "A Novel Remote Sensing Technology on Land Analysis Use Change Detection." Asian Journal of Computer Science and Technology 8, no. 3 (November 15, 2019): 10–14. http://dx.doi.org/10.51983/ajcst-2019.8.3.2733.
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Change location is helpful in numerous applications identified with land use and land cover changes, for example, moving development and scene changes, arrive corruption and desertification. Remotes sensing technology has been utilized for the location of the adjustment in land use arrive cover in upper Rib watershed. The fundamental target of this examination was to identify the land use change utilizing Remotes sensing for manageable land use arranging in Upper Rib watershed. The two satellite pictures for the year 2007 and 2018 were downloaded and utilized for recognizing the land cover changes. Most extreme probability arrangement was utilized in ERDAS Imagine device for characterizing the pictures. Ground truth focuses were gathered and utilized for check of picture arrangement. This was identified with the proceeded with extension of developed and settlement over years in River watershed. The information about the adjustment in land use is so fundamental for the organization and land use arranging exercises in upper Rib watershed. This is so for, the expansion and profitability of Rib repository by decreasing the upland disintegration through powerful land use arranging and soil preservation rehearses. Consequently, this examination uncovered that there is an expansion of horticultural land which needs due consideration towards soil protection for the improvement of the helpful existence of the supply.
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Sadly, Muhamad, and Awaluddin Awaluddin. "SISTEM PENJEJAK IKAN UNTUK PEMANTAUAN KUALITAS LINGKUNGAN PERAIRAN DAN PREDIKSI LOKASI PENANGKAPAN IKAN MENUJU PENGELOLAAN PERIKANAN BERKELANJUTAN." Jurnal Teknologi Lingkungan 18, no. 1 (April 6, 2017): 29. http://dx.doi.org/10.29122/jtl.v18i1.534.
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ne"> Dalam riset ini diusulkan suatu pendekatan baru di dalam membangun model prediksi lokasi penangkapan ikan dan pemantauan kualitas lingkungan perairan, khususnya ikan pelagis ekonomis. Knowledge-based expert system diintegrasikan dengan penginderaan jauh dan sistem informasi geografis dipilih sebagai pendekatan baru untuk menyempurnakan metode konvensional yang saat ini digunakan. Model yang dikembangkan disebut “Sistem Penjejak Ikan nan Cerdas”. Kelemahan utamametode konvensional, penentuan lokasi penangkapan ikan masih dilakukan secara manual, akibatnya hasil yang diperoleh tidak optimal dan tidak praktis di dalam implementasinya. Data seri satelit penginderaan jauh (suhu permukaan laut, klorofil dan turbiditi) yang diperoleh dari satelit Aqua MODIS periode tahun 2007-2014 digunakan sebagai data input. Peta spasial sistem prediksi lokasi penangkapan ikan dibangun menggunakan ERDAS Imagine Macro Language. Untuk verifikasi dan validasi hasil,dilakukan pengambilan data in-situ fishing ground pada lokasi riset dalam periode waktu yang sama, dan telah di analisa dengan metode statistik untuk mendapatkan tingkat akurasinya. Hasil menunjukkan bahwa densitas fishing ground yang telah di prediksi dan kualitas lingkungan perairan di perairan Banggai Kepulauan dikorelasikan dengan data hasil survei lapangan (in-situ data) diperoleh tingkat akurasi lebih dari 93%. Dari demonstrasi hasil, model yang diusulkan dapat diaplikasikan untuk memprediksi, melokalisasi dan menentukan densitas fishing ground dengan tingkat akurasi lebih tinggi dibanding metode konvensional. Sistem prediksi ini telah diimplementasikan pada sistem online.Kata kunci : sistem pakar, lokasi penangkapan ikan, penginderaan jauh, sistem penjejak ikan nancerdas, sistem informasi geografi