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110 results for “Remote Sensing (RS)”
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Research ArticleOpen accessEvery word in the titleRemote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning TechniquesMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariThis study investigates the classification of aerial images depicting transmission towers, forests, farmland, and mountains. To complete the classification job, features are extracted from input photos using a Convolutional Neural Network (CNN) architecture. Then, the images are classified using Softmax. To test the model, we ran it for ten epochs using a batch size of 90, the Adam optimizer, and … …Journal of Computer Science, Vol. 21, Issue 3 · 11 Feb 2025 · 10,127 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA 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 · 6,693 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis 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 · 10,123 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Effect of Needle-Leaved Species in Increasing the Risk of Fire by Using Remote Sensing, Case Study: Forests of Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.The present research was conducted to determine the sensitivity of needle-leaved species compared to broad-leaved in causing a natural fire in Golestan province. Vegetation and moisture stresses of plants were studied in both needle and mixed leaved forest the fire occurred in 2010-2014. In order to examine the normal condition of each indicator, the time series was produced from 2000 … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 7,851 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRock Slopes Failure Susceptibility Analysis: From Remote Sensing Measurements to Geographic Information System Raster ModulesFilipello Andrea, Giuliani Andrea, Mandrone GiuseppeProblem statement: Two important step can be recognised in the rockfall analysis: the potential failure detection and the run out simulation. Analyzing the stability of rock slopes, most important kinematisms are planar or wedge slidings and topplings. The aim of this study was to coupling a deterministic approach for landslide initiation (potential rockfall source areas) with a runout analysis by … …American Journal of Environmental Sciences, Vol. 6, Issue 6 · 31 Dec 2010 · 8,623 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHyperspectral Remote Sensing of Vegetation Using Red Edge Position TechniquesHelmi Zulhaidi Mohd Shafri, Mohamad Amran Mohd Salleh, Azadeh GhiyamatTwo red edge position (REP) techniques, Linear and Lagrangian, were applied on hyperspectral data acquired from the HyMap sensor for a forested area in Thetford Forest, UK. Red edge positions of different vegetation covers were extracted with the two approaches from the hyperspectral data. Based on the estimated REPs, the Linear and Lagrangian interpolation methods were compared with ground reference … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 17 Jun 2006 · 8,111 accessesView PDFCite
Research NotesOpen accessIn the keywordsMetadata Stewardship and Quality in Telecom SectorBhola Gan Chaudhuri, Shalli RaniThe spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which facilitate the contemporary monitoring systems of the environment and the earth. Metadata control and information quality have also become significant in the telecom industry in controlling data reliably, enhancing data services, and … …Journal of Computer Science, Vol. 22, Issue 10 · 22 Oct 2026 · 426 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,602 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,520 accessesView PDFCite
Review ArticleOpen accessIn the keywordsAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,421 accessesView PDFCite