Dr. Deepak Kumar
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Dr. Deepak Kumar

Research Scientist
University at Albany, State University of New York, Albany, NY, US

Highest Degree
Ph.D. in GIS, Remote Sensing and Integrated Land-Use from Central University of Karnataka, India

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Biography

Dr. Deepak Kumar is an academic research professional with over 10 years of experience in the field of remote sensing, energy sciences, climate studies, and analytical research methods in urban planning. He is presently working as a research scientist at the Center of Excellence in Weather and Climate Analytics, Atmospheric Science Research Center (ASRC), State University of New York at Albany.

Area of Interest:

Earth Science and Geography
100%
Satellite Remote Sensing
62%
Enviromental Sustainbility
90%
Landscape Ecology
75%
Natural Resource Management
55%

Research Publications in Numbers

Books
4
Chapters
21
Articles
47
Abstracts
12

Selected Publications

  1. Rawat, S., A. Rawat, D. Kumar and A.S. Sabitha, 2021. Application of machine learning and data visualization techniques for decision support in the insurance sector. Int. J. Inform. Manage. Data Insights, 10.1016/j.jjimei.2021.100012.
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  2. Kumar, D., 2021. Urban objects detection from c-band synthetic aperture radar (SAR) satellite images through simulating filter properties. Sci. Rep., Vol. 11. 10.1038/s41598-021-85121-9.
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  3. Kumar, D., 2021. Spatial variability analysis of the solar energy resources for future urban energy applications using meteosat satellite-derived datasets. Remote Sens. Appl.: Soc. Environ., Vol. 22. 10.1016/j.rsase.2021.100481.
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  4. Kumar, D. and T. Tewary, 2021. Techno?economic assessment and optimization of a standalone residential hybrid energy system for sustainable energy utilization. Int. J. Energy Res., 10.1002/er.6389.
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  5. Misra, M., D. Kumar and S. Shekhar, 2020. Assessing machine learning based supervised classifiers for built-up impervious surface area extraction from sentinel-2 images. Urban Forestry & Urban Greening, Vol. 53. 10.1016/J.UFUG.2020.126714.
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  6. Misra, M. and D. Kumar, 2020. A hybrid indexing approach for sustainable smart cities development. J. Indian Soc. Remote Sens., 10.1007/S12524-020-01171-Y.
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  7. Kumar, D., 2020. Urban energy system management for enhanced energy potential for upcoming smart cities. Energy Explor. Exploit., 38: 1968-1982.
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  8. Kumar, D., 2020. Satellite-based solar energy potential analysis for southern states of India. Energy Rep., 6: 1487-1500.
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  9. Kumar, D. and A. Kumar, 2020. Evaluating filter properties for urban feature identification from dual-pol SAR images. Model. Earth Syst. Environ., 10.1007/s40808-020-00981-w.
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  10. Kaushik, K. and D. Kumar, 2020. Forest disturbance mapping with microwave remote sensing. J. Landscape Ecol., 13: 95-128.
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  11. Kumar, D., 2019. Statistical image processing for enhanced scientific analysis. Smart Syst. IoT: Innovations Comput., 10.1007/978-981-13-8406-6_1.
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  12. Kumar, D., 2019. Statistical Image Processing for Enhanced Scientific Analysis. In: Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, Vol. 141, Somani, A., R. Shekhawat, A. Mundra, S. Srivastava and V. Verma (Eds.)., Springer, Singapore, pp: 1-11.
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  13. Kumar, D., 2019. Hyper-temporal variability analysis of solar insolation with respect to local seasons. Remote Sens. Applic.: Soc. Environ., Vol. 15. 10.1016/j.rsase.2019.100241.
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  14. Kumar, D., T. Tewary and S. Shekhar, 2018. Enhanced adaptive technique for surface temperature variability analysis. Iran. J. Sci. Technol. Trans. Sci., 42: 1309-1316.
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  15. Kumar, D., 2018. Mapping solar energy potential of southern India through geospatial technology. Geocarto Int., 34: 1477-1495.
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  16. Kumar, D., 2017. Surface temperature variability analysis of an urban area using Landsat ETM+ thermal images. Asian Geogr., 34: 25-37.
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  17. Kumar, D., 2016. Adaptive hierarchical cell sub-division (AHCS) method for enhanced surface radiance temperature variability analysis. Model. Earth Syst. Environ., Vol. 2. 10.1007/s40808-016-0194-7.
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  18. Kumar, D. and S. Shekhar, 2016. Linear gradient analysis of kinetic temperature through geostatistical approach. Model. Earth Syst. Environ., Vol. 2. 10.1007/s40808-016-0198-3.
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  19. Kumar, D. and S. Shekhar, 2015. Statistical analysis of land surface temperature–vegetation indexes relationship through thermal remote sensing. Ecotoxicol. Environ. Saf., 121: 39-44.
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