V
Varun Narayan Mishra
Researcher at Gyanvihar University
Publications - 61
Citations - 1701
Varun Narayan Mishra is an academic researcher from Gyanvihar University. The author has contributed to research in topics: Land cover & Environmental science. The author has an hindex of 16, co-authored 52 publications receiving 902 citations. Previous affiliations of Varun Narayan Mishra include Indian Institute of Technology (BHU) Varanasi & Indian Institutes of Technology.
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A GIS-based approach in drainage morphometric analysis of Kanhar River Basin, India
TL;DR: In this paper, the analysis of morphometric parameters with the help of geographic information system (GIS) would prove a viable method of characterizing the hydrological response behaviour of the watershed.
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A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India
TL;DR: In this paper, a multi-layer perceptron-Markov chain analysis (MLP-MCA) integrated method was used to monitor and predict the future land use and land cover (LULC) change scenarios in Patna district, Bihar using remote sensing images.
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Prediction of land use changes based on land change modeler (lcm) using remote sensing: a case study of muzaffarpur (bihar), india
TL;DR: In this article, the authors predict and analyze the present and future growth of Muzaffarpur city and its surrounding, Bihar (India) using the Landsat satellite images of 1988 and 2010.
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Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India.
Aman Arora,Alireza Arabameri,Manish Pandey,Masood Ahsan Siddiqui,Uma Kant Shukla,Dieu Tien Bui,Varun Narayan Mishra,Anshuman Bhardwaj +7 more
TL;DR: Better performance of ANIFS-GA than the individual models as well as some ensemble models suggests and warrants further study in this topoclimatic environment using other classes of susceptibility models.
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Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data
TL;DR: Better performance of SVM and ANN algorithms in comparison to SAM for the classification of various crops and non-crop covering a part of Varanasi district, Uttar Pradesh, India is indicated.