P
Pavan Kumar
Researcher at Central Agricultural University
Publications - 56
Citations - 1009
Pavan Kumar is an academic researcher from Central Agricultural University. The author has contributed to research in topics: Population & Land cover. The author has an hindex of 14, co-authored 53 publications receiving 578 citations. Previous affiliations of Pavan Kumar include Kumaun University & Jamia Millia Islamia.
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Indicator-based vulnerability assessment of forest ecosystem in the Indian Western Himalayas: An analytical hierarchy process integrated approach
Manoj Kumar,Naveen Kalra,Hukum Singh,Subrat Sharma,Praveen Singh Rawat,Ram Kumar Singh,Ajay K. Gupta,Pavan Kumar,N. H. Ravindranath +8 more
TL;DR: In this paper, the vulnerability of forests in the Indian Western Himalayan (IWH) region comprising the states of Jammu & Kashmir (J&K), Himachal Pradesh (HP) and Uttarakhand (UK) was done using six indicators of vulnerability in the form of biological richness index, disturbance index, forest canopy density, fire point intensity and forest extraction intensity of fringe forests.
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Modeling the luminous intensity of Beijing, China using DMSP-OLS night-time lights series data for estimating population density
Pavan Kumar,Haroon Sajjad,Pawan Kumar Joshi,Christopher D. Elvidge,Sufia Rehman,B. S. Chaudhary,Bismay Ranjan Tripathy,Jyoti Singh,Gajendra Pipal +8 more
TL;DR: Wang et al. as discussed by the authors used the satellite observation data derived from Defense Meteorological Satellite Program (DMSP) to estimate population density through the measurement of light flux with radiometric recording.
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Estimation of Urban Population Dynamics Using DMSP-OLS Night-Time Lights Time Series Sensors Data
Bismay Ranjan Tripathy,Vijay Tiwari,Vinita Pandey,Christopher D. Elvidge,J. S. Rawat,M.P. Sharma,Ravindra Prawasi,Pavan Kumar +7 more
TL;DR: In this paper, the authors extracted metropolises population data from the Defense Meteorological Satellite Program Operational Line Scanner (DMSP/OLS) radiance calibrated nighttime light data.
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Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data
Bismay Ranjan Tripathy,Haroon Sajjad,Christopher D. Elvidge,Yu Ting,Prem Chandra Pandey,Prem Chandra Pandey,Meenu Rani,Pavan Kumar +7 more
TL;DR: The model proved to be useful tool in predicting electric demand for its sustainable use and management in India and provided realistic information on the electric demand with respect to GDP and population.
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Prediction of spatial soil organic carbon distribution using Sentinel-2A and field inventory data in Sariska Tiger Reserve
TL;DR: In this paper, the authors assessed distribution of soil organic carbon (SOC) using field and satellite data in Sariska Tiger Reserve located in the Aravalli Hill Range, India.