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Dr. Dhanya M.

Assistant Professor (Level 12), Department of Physics, School of Physical Sciences, Amritapuri | Assistant Professor (Level 12), Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri

Qualification: M.Tech., MSc, Ph.D
dhanyam@am.amrita.edu
ORCID ID
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Research Interest: Extreme weather events and disasters, application of AI/ML tools in Earth Sciences, rainfall threshold models for landslide early warning, Physics-based and data-driven models for hydro-meteorological applications, hazards, numerical modelling, AI/ML in weather and climate analysis

Bio Publications Research Grants  FDP / Workshops Conferences
Bio

Dr. Dhanya M. currently serves as assistant professor in the department of Physics and in the Amrita centre for Wireless Networks and Applications. She has an MSc degree in Physics and an MTech degree in Atmospheric Sciences. She received PhD from the Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala. The title of her PhD thesis is “Improved simulation of meteorological systems over India: Impact of assimilating satellite observations using 3dvar and EnKf” . This work involved the assimilation of remote sensing observations in the Weather Research and Forecasting (WRF) model using 3-dimensional variational technique as well as ensemble Kalman filter technique. Presently, her research is focused on numerical modelling as well as the application of AI/ML tools to problems in Earth science. She is also involved in the development of rainfall threshold models useful for landslide early warning and disaster mitigation.

Dhanya’s research interests include:

  • Extreme weather events
  • Hazards
  • Numerical modelling
  • Applications of AI/ ML tools in Earth Sciences
  • AI/ML in weather and climate analysis
  • Rainfall threshold models for landslide early warning
Publications

Journal Article

Year : 2024

Flood Susceptibility Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach

Cite this Research Publication : Sreekala S, P. Geetha, Dhanya Madhu, Flood Susceptibility Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach, Remote Sensing in Earth Systems Sciences, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s41976-024-00101-7

Publisher : Springer Science and Business Media LLC

Year : 2024

Regional-Scale Landslide Modeling Using Machine Learning And GIS: A Case Study for Idukki District, Kerala, India

Cite this Research Publication : Dhanya Madhu, G. K. Nithya, S. Sreekala, Maneesha Vinodini Ramesh, Regional-scale landslide modeling using machine learning and GIS: a case study for Idukki district, Kerala, India, Natural Hazards, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s11069-024-06592-3

Publisher : Springer Science and Business Media LLC

Year : 2022

Sugarcane crop classification using time series analysis of optical and SAR sentinel images: a deep learning approach

Cite this Research Publication : Sreedhar, R., Varshney, A., & Dhanya, M.,  "Sugarcane crop classification using time series analysis of optical and SAR sentinel images: a deep learning approach". Remote Sensing Letters, 13(8), 812-821. 2022.

Publisher : Taylor & Francis

Year : 2019

Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India

Cite this Research Publication : Harilal, Geethu Thottungal, Dhanya Madhu, Maneesha Vinodini Ramesh, and Divya Pullarkatt. "Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India." Landslides 16, no. 12 (2019): 2395-2408.

Publisher : Springer

Year : 2018

Multivariate background error covariances in the assimilation of SAPHIR radiances in the simulation of three tropical cyclones over the Bay of Bengal using the WRF model

Cite this Research Publication : Dr. Dhanya M. and Chandrasekar, A., “Multivariate background error covariances in the assimilation of SAPHIR radiances in the simulation of three tropical cyclones over the Bay of Bengal using the WRF model”, International Journal of Remote Sensing, vol. 39, pp. 191-209, 2018.

Publisher : International Journal of Remote Sensing, Taylor & Francis,

Year : 2016

Impact of variational assimilation using multivariate background error covariances on the simulation of monsoon depressions over India

Cite this Research Publication : Dhanya, M., and A. Chandrasekar. "Impact of variational assimilation using multivariate background error covariances on the simulation of monsoon depressions over India." Annales Geophyasicae (09927689) 34, no. 2 (2016).

Publisher : Annales Geophysicae

Year : 2016

The impact of assimilating MeghaTropiques SAPHIR radiances in the simulation of tropical cyclones over the Bay of Bengal using the WRF model

Cite this Research Publication : Dr. Dhanya M., Gopalakrishnan, D., Chandrasekar, A., Singh, S. Kumar, and Prasad, V. S., “The impact of assimilating MeghaTropiques SAPHIR radiances in the simulation of tropical cyclones over the Bay of Bengal using the WRF model”, International Journal of Remote Sensing, vol. 37, pp. 3086–3103, 2016

Publisher : International Journal of Remote Sensing

Year : 2014

Improved Rainfall Simulation by Assimilating Oceansat-2 Surface Winds Using Ensemble Kalman Filter for a Heavy Rainfall Event over South India

Cite this Research Publication : Dhanya, M., and A. Chandrasekar. "Improved rainfall simulation by assimilating Oceansat-2 surface winds using ensemble Kalman filter for a heavy rainfall event over South India." IEEE Transactions on Geoscience and Remote Sensing 52, no. 12 (2014): 7721-7726.

Publisher : IEEE Transactions on Geoscience and Remote Sensing

Conference Paper

Year : 2023

Performance Assessment of Various Machine Learning Classification Methods for Classifying the Landcover Using Landsat 8 OLI

Cite this Research Publication : Sajan, Auchithya, and M. Dhanya. "Performance Assessment of Various Machine Learning Classification Methods for Classifying the Landcover Using Landsat 8 OLI." 2023 3rd International Conference on Intelligent Technologies (CONIT). IEEE, 2023.

Publisher : IEEE

Year : 2023

Analysis of Long-term Changes for Land Use and Land Cover using Machine Learning: A case study

Cite this Research Publication : Bikkasani, R. H., Dhanya, M., & Veena, S. V. (2023). "Analysis of Long-term Changes for Land Use and Land Cover using Machine Learning: A case study". In 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (pp. 542-546). IEEE.

Publisher : IEEE

Year : 2021

Moisture trajectories during heavy rainfall events using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model

Cite this Research Publication : Aryalakshmi, S., & Madhu, D. (2021). "Moisture trajectories during heavy rainfall events using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model". In Journal of Physics: Conference Series (Vol. 2070, No. 1, p. 012066), Second International Conference on Advances in Physical Sciences and Materials 2021(ICAPSM 2021), IOP Publishing.

Publisher : IOP Publishing

Year : 2021

Urban Flood Susceptibility Mapping of Kochi Taluk Using Remote Sensing and GIS

Cite this Research Publication : Shreekumar, S., Madhu, D., & Akella, A. K. (2021). "Urban Flood Susceptibility Mapping of Kochi Taluk Using Remote Sensing and GIS". In 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) (pp. 1-6). IEEE.

Publisher : IEEE

Year : 2021

Monitoring Drought using Multispectral Remote Sensing – A Case Study

Cite this Research Publication : Vanajith, V., Daniel, S. G., Rugma, S., & Dhanya, M. (2021). "Monitoring Drought using Multispectral Remote Sensing–A Case Study". IOP Conference Series: Materials Science and Engineering, Volume 1145, International Conference on Chemical, Mechanical and Environmental Sciences (ICCMES 2021), IOP Publishing, 2021.

Publisher : IOP Publishing

Year : 2020

The study on variability of NDVI over Kerala using satellite observations

Cite this Research Publication : Sha, Kevin, Apoorva Srinivasa, and Dhanya Madhu. "The study on variability of NDVI over Kerala using satellite observations." In AIP Conference Proceedings, 2287, 020013 (2020), AIP Publishing LLC, 2020.

Publisher : AIP Publishing LLC

Year : 2018

Cloud cover variability over India as observed by CERES mission

Cite this Research Publication : Medha Sundar P.D., Dhanya Madhu, Madhusoodanan M.S. "Cloud cover variability over India as observed by CERES mission", presented in the 4th International Conference for Convergence in Technology (I2CT) SDMIT Ujire, Mangalore, India. Oct 27-28, 2018

Publisher : 4th International Conference for Convergence in Technology

Year : 2016

Impact of Megha-Tropiques SAPHIR radiance assimilation on the simulation of tropical cyclones over Bay of Bengal

Cite this Research Publication : Dhanya M., Gopalakrishnan, D., Chandrasekar, A., Singh, S. Kumar, and Prasad, V. S., "Impact of Megha-Tropiques SAPHIR radiance assimilation on the simulation of tropical cyclones over Bay of Bengal", Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VI, 98820E (3 May 2016). 2016.

Publisher : Proceedings Volume 9882, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VI

Year : 2013

3DVAR Assimilation of Saphir Radiance from Meghatropiques : Case Study of A Heavy Rainfall events over South Indian Peninsula

Cite this Research Publication : Chandrasekar and Dhanya M., "3DVAR Assimilation of Saphir Radiance from Meghatropiques : Case Study of A Heavy Rainfall events over South Indian Peninsula", in High Impact Weather Events and their prediction over the SAARC Region, At New Delhi, India, March 2013, 2013.

Publisher : High Impact Weather Events and their prediction over the SAARC Region, At New Delhi, India, March 2013

Year : 2012

The impact of variational assimilation of Oceansat-2 wind observations on the numerical simulation of heavy rainfall events during northeast Indian monsoon

Cite this Research Publication : Dhanya M. and Chandrasekar, A., "The impact of variational assimilation of Oceansat-2 wind observations on the numerical simulation of heavy rainfall events during northeast Indian monsoon", in 39th COSPAR Scientific Assembly 2012 - 14-22 July 2012., 2012.

Publisher : 39th COSPAR Scientific Assembly

Year : 2012

Impact of assimilating Oceansat2 and Quikscat wind observations on the simulation of weather systems during north east monsoon over India

Cite this Research Publication : Dhanya M. and Chandrasekar, A., "Impact of assimilating Oceansat2 and Quikscat wind observations on the simulation of weather systems during north east monsoon over India", in IITM Golden jubilee International Conference on Opportunities and Challenges in Monsoon prediction in Changing Climate (OCHAMP) 21-25 February, 2012 , Indian Institute of Tropical Meteorology, Pune, 2012.

Publisher : IITM Golden jubilee International Conference on Opportunities and Challenges in Monsoon prediction in Changing Climate (OCHAMP)

Year : 2008

Analysis of monsoon rainfall and wind simulations on flosolver using the varsha 1.2 GCM

Cite this Research Publication : Dhanya M., Anjali, B., and T.N., V., "Analysis of monsoon rainfall and wind simulations on flosolver using the varsha 1.2 GCM", in International Conference on Aerospace Science and Technology, Bangalore,India, 2008.

Publisher : International Conference on Aerospace Science and Technology, Bangalore

Conference Proceedings

Year : 2024

Going Beyond Traditional Methods: Using LSTM Networks to Predict Rainfall in Kerala

Cite this Research Publication : J. Akshaya, D. Harsha, D. Eswar Chowdary, B. E. Pranav Kumaar, G. Rahul, V. Sowmya, E. A. Gopalakrishnan, M. Dhanya, Going Beyond Traditional Methods: Using LSTM Networks to Predict Rainfall in Kerala, Studies in Computational Intelligence, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-53717-2_11

Publisher : Springer Nature Switzerland

Year : 2024

Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India

Cite this Research Publication : Chowdary, P. N., Pingali, S., Unnikrishnan, P., Sanjeev, R., Sowmya, V., Gopalakrishnan, E. A., & Dhanya, M. (2024, January). Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India. In International Conference on Computation of Artificial Intelligence & Machine Learning (pp. 47-62). Cham: Springer Nature Switzerland.

Publisher : Cornell University

Year : 2024

Analysis of the Relationship between Heatwaves with Vegetation and Soil Moisture

Cite this Research Publication : Vinduja Vijayanand, M Dhanya, Analysis of the Relationship between Heatwaves with Vegetation and Soil Moisture, undefined, IEEE, 2024, https://doi.org/10.23919/INDIACom61295.2024.10499132

Publisher : IEEE

Year : 2024

Clustering of Moisture Transport Trajectories : A Case Study

Cite this Research Publication : M. Meenakshy Dev, Arya S. Nair, M. Dhanya, Clustering of moisture transport trajectories : A case study, AIP Conference Proceedings, AIP Publishing, 2024, https://doi.org/10.1063/5.0216365

Publisher : AIP Publishing

Year : 2024

Analysis of The Nonlinear Behaviour of Rainfall Over Kerala

Cite this Research Publication : Parvathy M, Parvathi Ashok, Dhanya Madhu, Analysis of the nonlinear behaviour of rainfall over Kerala, Second International Conference on Current Trends in Physics and Photonics (ICCTPP 2024), SPIE, 2024, https://doi.org/10.1117/12.3044611

Publisher : SPIE

Year : 2024

Optical Parameter Determination of Amorphous Semiconductor Thin Films for Photovoltaic Device Modeling

Cite this Research Publication : A. Farha, Anjitha M. Pillai, Niveditha Nair, M. Dhanya, Sanjay K. Ram, Optical parameter determination of amorphous semiconductor thin films for photovoltaic device modeling, AIP Conference Proceedings, AIP Publishing, 2024, https://doi.org/10.1063/5.0216105

Publisher : AIP Publishing

Year : 2023

Impact of Land Use and Land Cover changes on landslide susceptibility over Idukki, India

Cite this Research Publication : G Hari Sanker, Neehara Kiran, Nandagopal Krishnan, Dhanya M, Impact of Land Use and Land Cover changes on landslide susceptibility over Idukki, India, 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), IEEE, 2023, https://doi.org/10.1109/ingarss59135.2023.10490429

Publisher : IEEE

Year : 2023

Quantum Dot Solar Cell Characteristics Based on Active Layer Thickness – A Transfer Matrix Modelling Approach

Cite this Research Publication : S. Sreerag, P. V. Adarsh, M. Dhanya, Quantum dot solar cell characteristics based on active layer thickness - A transfer matrix modelling approach, AIP Conference Proceedings, AIP Publishing, 2023, https://doi.org/10.1063/5.0178786

Publisher : AIP Publishing

Research Grants 
  • Co-PI in the proposal “Enhancing climate resilience in South Asia and China: Predicting precipitation shifts and their impacts for disaster risk reduction and resource security” (https://doi.org/10.30852/p.29592) .
    Funding Agency : Asia Pacific Network for Global Change Research (APN)
    Participating countries : Bangladesh, Bhutan, China, India, Japan, Nepal, Pakistan and USA
  • The project will develop actionable strategies through climate data analysis, modeling, and collaboration with stakeholders. These initiatives will prioritize catastrophe risk reduction and climate resilience in South Asia (Bangladesh, Bhutan, India, Nepal, and Pakistan) and China along with the technical expertise support from Japan and the USA.
FDP / Workshops
  • DPRI Kyoto – Amrita Joint Workshop on Disaster Management jointly organized by disaster prevention research institute, Kyoto university, Japan and Amrita Vishwa Vidyapeetham, Amritapuri India on 11th October 2022
  • Workshop on Spatial and temporal climate change analysis using CORDEX regional climate models over South Asia. 18-20 February 2025, Kathmandu, Nepal
Conferences
  • IITM golden jubilee international conference on opportunities and challenges in monsoon prediction in changing climate at Pune, India during 21-25 February 2012
  • High impact weather events and their prediction over the SAARC region : in March 2013
  • National Space Science Symposium : at Thiruvananthapuram, Kerala in February 2016
  • ISIM 2021 – International Symposium on IoT and ML for ecosystem restoration & multihazard resilience : at Amritapuri during 05-09 June 2021
  • EGCON – 2022 : International conference on engineering geology and geotechniques for safe and sustainable infrastructures 16-17 November 2022, Kolkata
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