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.
Papers
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Journal ArticleDOI
A composite index for drought hazard assessment using CPC rainfall time series data
TL;DR: In this article, daily rainfall data of the Climate Prediction Centre during the south-west monsoon season (June-September) of 12 years, over India was analyzed, based on rainfall and rainy days, six indicators of drought were generated which were then synthesized into a composite index of drought hazard for every 10 × 10 km pixel.
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Temporal dynamics change of land use/land cover in Jhansi district of Uttar Pradesh over past 20 years using LANDSAT TM, ETM+ and OLI sensors
TL;DR: In this paper, the authors used satellite images from Landsat-5 Thematic Mapper (TM) for 2001, Landsat 7 Enhanced ThematicMapper (ETM+) for 2010 and Landsat 8 (OLI) for 2020 to extract Land use/Land cover classes.
Journal ArticleDOI
Climate change scenario of hydro-chemical analysis and mapping spatio-temporal changes in water chemistry of water springs in Kumaun Himalaya
TL;DR: In this paper, a total of 65 springs were inspected and investigated for their significant particle scenario to evaluate their water quality, potential origins, and hydro-chemical evolution, and groundwater samples were collected from springs under consideration and examined for an aggregate of 14 water quality physicochemical parameters during pre- and post-monsoon season.
Journal ArticleDOI
A machine learning-based classification of LANDSAT images to map land use and land cover of India
Ram Kumar Singh,Prafull Singh,Martin Drews,Pavan Kumar,Hukum Singh,Ajay K. Gupta,Himanshu Govil,Amarjeet Kaur,Manoj Kumar +8 more
TL;DR: The suggested approach in this study will help planners to obtain LULC maps at different time intervals to study land-use change dynamics in a shorter time and cost-effective way.
Book ChapterDOI
Future Challenges and Perspective of Remote Sensing Technology
Haroon Sajjad,Pavan Kumar +1 more
TL;DR: An overview of the potential challenges and the perspective of the fast-growing geospatial technology is presented, which has wide potential in analysing land, vegetation and water resources.