P
Pavan Kumar
Researcher at Banasthali Vidyapith
Publications - 23
Citations - 401
Pavan Kumar is an academic researcher from Banasthali Vidyapith. The author has contributed to research in topics: Forest inventory & Normalized Difference Vegetation Index. The author has an hindex of 11, co-authored 22 publications receiving 296 citations. Previous affiliations of Pavan Kumar include Kumaun University.
Papers
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Journal ArticleDOI
Rice Equivalent Crop Yield Assessment Using MODIS Sensors’ Based MOD13A1-NDVI Data
Vandana Tomar,Vinay Prasad Mandal,Pragati Srivastava,Shashikanta Patairiya,Kartar Singh,N. Ravisankar,Natraj Subash,Pavan Kumar +7 more
TL;DR: In this article, the site-specific infield fertilizer treatments, its application rate discrepancies and crop yield assessment using rice equivalent productivity in terms of their economic potential using MOD13A1-normalized difference vegetation index (NDVI) were analyzed.
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Geospatial Strategy for Tropical Forest-Wildlife Reserve Biomass Estimation
TL;DR: This study focus on the biomass estimation of Sariska Wildlife Reserve using forest inventory and geospatial approaches to develop a model based on the statistical correlation between biomass measured at plot level and the associated spectral characteristics.
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An Efficient Hybrid Classification Approach for Land Use/Land Cover Analysis in a Semi-Desert Area Using ${\rm ETM}{+}$ and LISS-III Sensor
TL;DR: In this paper, a hybrid classification approach is proposed for land use and land cover (LU/LC) classification, which is found highly useful in achieving high accuracy for areas where spectral classes of images are inseparable.
Journal Article
The Prediction of COVID-19 Pandemic for top-15 Affected Countries using advance ARIMA model
Ram Kumar Singh,Meenu Rani,Akshaya Srikanth Bhagavathula,Ranjit Sah,Alfonso J. Rodriguez-Morales,Himangshu Kalita,Chintan Nanda,Shashikanta Patairiya,Yagya Datt Sharma,Ali A. Rabaan,Jamal Rahmani,Pavan Kumar +11 more
TL;DR: The comparison between identified top-15 countries for confirmed, death and recovery of the cases and further advanced Auto-Regressive Integrated Moving Average Model (ARIMA) for predicting the spreading of COVID-19 disease trajectories for next two months are compared.
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Estimation of Wheat/Rice Residue Burning Areas in Major Districts of Haryana, India, Using Remote Sensing Data
Manoj Yadav,M.P. Sharma,R. Prawasi,Rajeev Khichi,Pavan Kumar,Vinay Prasad Mandal,Abdul Salim,R. S. Hooda +7 more
TL;DR: In this article, the authors describe the methodology and results of wheat and rice residue burning areas for three districts of Haryana namely Kaithal, Kurukshetra and Karnal using complete enumeration approach of multi-date IRS-P6 AWiFS and LISS-III data.