Shwetha H.R.

Designation: 

Assistant Professor (Grade-I)

Date of Joining at NITK: 

Friday, September 27, 2019

Professional Experience: 

October 2023- Present: Assistant Professor (Grade I), National Institute of Technology, Karnataka, Surathkal.
October 2019- October 2023: Assistant Professor (Grade II), National Institute of Technology, Karnataka, Surathkal.
May 2018 – September 2019: Research Associate, Indian Institute of Science, Bangalore

Contact Details

E-mail: 

hrshwetha@nitk.edu.in
hrshwetha87@gmail.com

Telephone: 

0824-2473301

Mobile: 

9743183823

Google Scholar: 

https://scholar.google.co.in/citations?user=WdbKEL0AAAAJ&hl=en
Academic Background

Ph.D.: Indian Institute of Science, Bangalore- 2017
M.Tech: National Institute of Technology, Surathkal- 2011
B.E: Malnad College of Engineering, Hassan-2009

Conference Proceedings: 

19
Areas of Interest

Optical and Microwave Remote Sensing, Remote sensing applications for Water Resources and Agriculture, Digital Image Processing, Surface and Subsurface Water Hydrology, Machine Learning, Hyperspectral Remote Sensing

Significant Projects

1.Quantitative retrieval and spatiotemporal analysis of soil quality parameters using geospatial datasets and machine learning techniques in Western Plains and Ghat regions of Karnataka ,VGST-GRE (ongoing).
2.Determination of changes in sea water quality parameters, VA Tech Wabag Limited, VATECH WABAG LTD (Completed).
3.Multidecadal shoreline change analysis along the Ullala stretch of Dakshina Kannada, Karnataka Urban Water Supply and Drainage Board, Sub-Division, Mangalore(Completed)

Supervision of Ph.D

05

Significant Publications

1. Sandeep R, B and Shwetha H R., Integrating Soil Spectral Library and PRISMA Data to Estimate Soil Organic Carbon in Crop Lands, IEEE Geoscience and Remote Sensing Letters (GRSL-01122-2023), IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 2502005, doi: 10.1109/LGRS.2024.3374824.
2. Makhdumi, W., Shwetha, H. R., and Dwarakish, G. S., Soil erosion in diverse agroecological regions of India: A comprehensive review of USLE-based modelling. Environmental Monitoring and Assessment,195:1112.
3.. Saicharan, V., Shwetha, H R., 2023, A Comparison and Ranking Study of Monthly Average Rainfall Datasets with IMD Gridded Data in India. Sustainability (Switzerland), 15 (7), 5758. DOI: 10.3390/su15075758.
4. Sahu, M.K., Shwetha, H.R., Dwarakish, G.S., 2023. State-of-the-art hydrological models and application of the HEC-HMS model: a review. Modeling Earth Systems and Environment, DOI: 10.1007/s40808-023-01704-7.
5. Shwetha H R and D Nagesh Kumar., 2020. Estimation of daily actual evapotranspiration using vegetation coefficient approach for clear and cloudy sky conditions, IEEE selected
topics on applied earth observations and remote sensing, 13, 2385-2395, (DOI:10.1109/JSTARS.2020.2989422).
6. Shwetha, H R and D Nagesh Kumar., 2018. Performance evaluation of satellite-based air temperature and reference evapotranspiration over a river basin. Hydrological Sciences Journal, 63(9), 1347-1367, (DOI: https://doi.org/10.1080/02626667.2018.1505046). (The article on this work featured in Science Trends).
7. Shwetha, H R and D Nagesh Kumar., 2018. Estimation of daily vegetation coefficients using MODIS data for clear and cloudy sky conditions. International Journal of Remote Sensing, 39(11),3776-3800. (DOI: https://www.tandfonline.com/eprint/ZIcb9dJBIDfxtrPnXTPy/full).
8. Shwetha, H, R., Nagesh, Kumar, D., 2016. Prediction of high spatio-temporal resolution of land surface temperature under cloudy sky conditions using microwave vegetation index and ANN. ISPRS Journal of Photogrammetry and Remote Sensing, 117, 40-55. (The article on this work appeared in Bangalore Mirror). (DOI: https://doi.org/10.1016/j.isprsjprs.2016.03.011).
9. Shwetha, H, R., Nagesh, Kumar, D., (2015). Prediction of LST under cloudy sky conditions using microwave remote sensing and ANN. Aquatic Procedia, 4, 1381-1388. (DOI: https://doi.org/10.1016/j.aqpro.2015.02.179).
10. Arun, K., Varun, V, M., Dwarkish, G, S., Kavyashree, B., Shwetha H, R., 2012. Soil loss estimation through MUSLE using Kirpich and Williams times of concentration using RS and GIS techniques: a case study, ISH Journal of Hydraulic Engineering/ Taylor and Francis, 18 (1), 1-10. (DOI: https://doi.org/10.1080/09715010.2011.646390).

 

Contact us

Dr. K. Varija.,
Professor and Head
Department of Water Resources & Ocean Engg
(Formerly Applied Mechanics & Hydraulics), NITK, Surathkal
P. O. Srinivasnagar, Mangaluru - 575 025
Karnataka, India.
 
Hot line: +91-0824-2474050/3040
Email: hodwroe[AT]nitk[DOT]edu[DOT]in

Connect with us

We're on Social Networks. Follow us & get in touch.