

PhD candidate specializing in image processing with 6+ years of experience in satellite data analytics, optical and radar image processing, and machine learning for geospatial applications. Strong expertise in Python-based EO pipelines, radiometric and geometric corrections, multi-sensor data fusion and ML regression and time-series modeling. Proven ability to translate research-grade algorithms into scalable, decision-ready geospatial solutions.
Earth Observation & Image Processing
Optical (expert level) & SAR data processing (basic level)
Radiometric correction, geometric correction, atmospheric correction
Orthorectification, mosaicking, reprojection, cloud & shadow masking
Water indices: NDWI, MNDWI, AWEI; SAR speckle filtering
Programming & Geospatial Libraries
Python: NumPy, Pandas, GeoPandas, Rasterio, GDAL, Fiona, Shapely, pyproj
Open-source EO workflows in Google Earth Engine (JavaScript & Python)
Jupyter, Google Colab
Machine Learning & Analytics
scikit-learn (Linear, Ridge, Lasso, Polynomial regression, CV)
XGBoost, TensorFlow (Keras)
Time-series analysis, model validation (R², RMSE, NRMSE)
Feature engineering and regression modeling for geospatial data
GIS & Visualization
QGIS, ArcGIS, SAGA, ERDAS Imagine, BRAT
Matplotlib, Plotly, Origin/OriginPro
1. Nalluri, A., Ramesh, H., & Dhote, P. R. (2024). Monitoring Water Level Fluctuations of Reservoirs in the Krishna River Basin Using Sentinel-3 and ICESat-2 Altimetry Data. IEEE Access, PP, 1. https://doi.org/10.1109/ACCESS.2024.3511139
2. Nalluri, A., & Ramesh, H. (2023). Restoring Wet Troposphere Data in Retrieving Water Level from Minor Track of SRAL Over Srisailam Reservoir, India. 2023 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2023. https://doi.org/10.1109/InGARSS59135.2023.10490394
3. Nalluri, A., & Ramesh, H. (2025). Water Level Monitoring and Mapping Seasonal Changes in the Reservoir Body Using Altimetry Data. BT - Hydrology and Hydrologic Modelling (M. Pandey, N. V Umamahesh, J. Das, & J. H. Pu, Eds.; pp. 65–77). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-7474-6_6
4. Ahalya, N., Ramesh, H. (2021). Water Level Retrieval and Water Body Mapping: A Case Study of Nagarjuna Sagar Reservoir. Trends in Civil Engineering and Challenges for Sustainability. Lecture Notes in Civil Engineering, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-15-6828-2_58
5. Nalluri, A., & Ramesh, H. (2019). A comparative study of radiometric corrections on multispectral and panchromatic images. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146. https://asianssr.org/index.php/ajct/article/view/761
6. Nalluri, A., Ramesh, H., Anisha, J., & Devyani N. (2025). Reconstructing the Capacity Curve of Ujjani Reservoir: Advanced Application of Water Indices using Landsat-8 and Google Earth Engine. (Presented and selected for Springer nature proceedings in Water Elixir Meet 2025 – SRM AP)
7. Nalluri, A., Ramesh, H., & Dhote, P. R. (2025). Data-fusion framework for reservoir bathymetry: Integrating radar–lidar altimetry and Sentinel-2A optical observations across the Krishna River Basin, India. (Manuscript ready to submit)
8. Nalluri, A. & Ramesh, H. (2025) Synergistic use of Multi-Sensor Altimetry and High-Resolution Multispectral Data for Bathymetric Mapping of Bhadra Reservoir. Acta Geophysica. (Under review Manuscript ID: AGPH-D-25-00276)