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25 results for “LANDSAT”
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Research ArticleOpen accessEvery word in the titleInvestigation of Chlorophyll-an in a Small Reservoir by Landsat 7 ImageryMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid EslamianChlorophyll-a (chla) is a source of water pollution. Monitoring the quality of water in reservoirs is necessary to take any action for protecting the water quality. Traditional methods of sampling are usually costly and time consuming. Also they need skillful labors and some areas are out of reach or sampling at those areas is dangerous. Remote sensing technology could solve … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 21 Apr 2018 · 8,325 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAssessing Supervised Classification Algorithms for Mangrove Detection and Differentiation from Other Forest Types in Paiton District, Probolinggo RegencyKaruniawan Puji Wicaksono, Fathor Rohman, Yasushi MitsudaRemote sensing provides an effective approach for monitoring forest cover dynamics, yet distinguishing mangroves from other forest types remains challenging in heterogeneous coastal landscapes. This study compares six supervised classification algorithms: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Mixture Discriminant Analysis (MDA), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) for mangrove detection in Paiton, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 1 Sep 2026 · 844 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Model of Bidirectional Long-Short Term Memory and CNN for Multivariate Time Series Classification of Remote Sensing DataSawsan Morkos GharghoryClassification of multivariate time series has got massive attention in the last decade. The traditional modeling classifiers are complicated patterns and are incompetent to capture the dependencies of multivariate time series data. To include both of the effective features and the embedded relationships in the multivariate time series, a new hybrid model which incorporates both Convolutional Neural Network (CNN) and … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLand Surface Temperature Retrieval by Using ATCOR3_T and Normalized Difference Vegetation Index Methods in Penang IslandK. C. Tan, H. S. Lim, M. Z. MatJafri, K. AbdullahProblem statement: Many studies have been devoted to establish the methodology for retrieval of LST from single channel algorithm by utilizing Landsat satellite images. However, this method required many atmospheric parameters to retrieve LST. Thus, it is very difficult to acquire the complete information for atmospheric parameters. Approach: While for ATCOR3_T, this method can be used to retrieve LST without … …American Journal of Applied Sciences, Vol. 7, Issue 5 · 31 May 2010 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUse of Satellite Data to Study the Impact of Land-Cover/Land-Use Change in Madison County AlabamaTomas Ayala-Silva, Garry Gordon, Robert HeathThe monitoring of land/use land cover changes along the northern part of Madison County Alabama are essential for the developers, planners, policy makers and management of government, public and private organizations. Remote sensing was used to analyze and study land-use/land-cover use changes impact on the environment of Madison County Alabama. This study area was selected because it is one of … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 7,399 accessesView PDFCite
Research ArticleOpen accessIn the keywordsChange Detection Using Neural Network with Improvement Factor in Satellite ImagesM. A. Fkirin, S. M. Badwai, Sayed A. MohamedProblem statement: The aim of this study is to investigate the applicability of using the neural network techniques in change detection of remotely sensed data. Approach: In addition, the tuning parameters of the network, such as encoding the output classes, adding the momentum term and learning rate, are investigated in order to achieve best network performance. Results: Neural network-based change … …American Journal of Environmental Sciences, Vol. 5, Issue 6 · 31 Dec 2009 · 6,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Land Use and Land Cover Changing Patterns of Bangladesh Using Remote Sensing TechnologyMd. Mahmudul Hasan, Rashidul Islam, Md. Saifur Rahman et al.Bangladesh is a deltaic country situated in the fringe of Bay of Bengal. Land Use and Land Cover (LULC) change is the concerning issue in the present world. Bangladesh is highly vulnerable to LULC changes due to its geographical location and shortage of awareness that’s why author conduct this research. The research was focused on analysing the LULC changes pattern … …American Journal of Environmental Sciences, Vol. 17, Issue 3 · 26 Aug 2021 · 10,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractLand-Cover Removal and Gully Development in Southeast Nigeria: A 30-Year Analysis with Pixel and OBIA Approaches in JuxtapositionSylvanus IroIn this study a study of gully erosion in southeast Nigeria is presented. The study of gully development on a regional scale is currently undermined by the inherent costs associated with consistent field monitoring and the lack of historic measurements to perform time series analysis. As a result, there are very few studies which implement long term analyses of gullies … …American Journal of Environmental Sciences, Vol. 16, Issue 2 · 9 Jun 2020 · 7,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Dynamics of Channel Pattern Changing Trends at Arial Khan River (1977-2018), BangladeshRathindra Nath Biswas, Md. Juel Mia, M. Nazrul IslamArial Khan River is right bank distributary of Ganges-Padma River systems flowing southwest region of Bangladesh. It is morphologically very dynamic meandering river: where the delta-building process is more active than other distributaries of Ganges-Brahmaputra-Meghna (GBM) River basin. This study analyzes, morphological variables- channel length, valley length, channel area and channel patterns of Arial Khan River. A major portion of … …Current Research in Geoscience, Vol. 8, Issue 1 · 16 Nov 2018 · 9,800 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Approach to Modelling of Flood Hazards in the Rapidly Growing City of Osogbo, Osun State, NigeriaSuleiman Abdul-Azeez Adegboyega, Oluchi Christiana Onuoha, Komolafe Akinola Adesuji et al.In recent times, the swift and uncoordinated urban expansion in the medium sized city of Osogbo has increasingly encroached on the environmental sensitive areas. This uncoordinated exploitation of the ecological fragile areas for urban development has triggered urban flooding, which poses serious threat to human lives and properties in the city. This study therefore utilized geospatial technologies to generate flood … …Space Science International, Vol. 4, Issue 1 · 8 Jan 2018 · 13,829 accessesView PDFCite