I am a graduate student in the Department of Geography and the Environment at the The University of Alabama, Tuscaloosa. My research focuses on geographic information science (GIS), remote sensing, machine learning, and deep learning analysis, mapping, and modeling of rivers for width, centerline, direction, and discharge to estimate flood, erosion and ecosystem.

• Phase Coded Disk Approach
• CrossSections Extraction Visualization
• Deriving Morphological Information
• Flood Inundations
• Integrated Information System
• Image Segmentation
• Satellite Overpass Predict
• SWAT Modeling

• Conferences

• HYDROLEARN

• Awards

• Python
• Javascript
• R

• ArcGIS
• ERDAS IMAGINE
• QGIS
• RSQ
• River Surveyor
• HYPACK
• EXO Sonde
• ViewSpec Pro
• Hyperspec III and SpectralView
• CloudCompare
• POSPac UAV
• Velodyne LIDAR Veloview
• HPI Trajectory Plotter
• ImageJ
• UgCS Missions
• GPS Pathfinder Office

• Unmmaned Aerial Vehicles
• Vessel
• DGPS
• GPS
• Total Station
• YSI
• ASD
• RS5 Pro Max
• HYCAT
• Hand-held Spectroradiometer

• Unmmaned Aerial Vehicle
• Vessel
• Driving

• IEEE Membership
• AGU Membership
• AAG Membership
• ISPRS Membership
• Mentoring 365

• Thapa, P (Under Review) Operational Efficiency and Environmental Impact of UAV-Based Vaccine Delivery in Remote Areas of Nepal, In Review Next Research

• Thapa, P (Under Review) Detection of River Centerlines Extraction and Width Estimation. Available at SSRN: https://ssrn.com/abstract=4905753 or http://dx.doi.org/10.2139/ssrn.4905753

• Thapa, P. (Under Review) Feasibility Study of Using Uncrewed Aerial Vehicles to Deliver Covid-19 Vaccines in Geographically Inaccessible Areas of Nepal. Available at SSRN: https://ssrn.com/abstract=4871922 or http://dx.doi.org/10.2139/ssrn.4871922

• Thapa, P. (2024) Assessing Wildfire Severity and Identifying Hotspots Using Computational, Accepted Chapter for “Intelligence and Image Processing Computational Intelligence in Surveillance Systems Using Image Processing” to be published by Elsevier.

• Aryal, R., Thapa, P., & Karki, M. (2023) SMOKE SCENE DETECTION FROM SATELLITE IMAGERY USING DEEP LEARNING.

• Thapa, P. (2022). Time Series Analysis and Forecast of COVID-19 Pandemic. In: Hassan, S.A., Mohamed, A.W., Alnowibet, K.A. (eds) Decision Sciences for COVID-19. International Series in Operations Research & Management Science, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-030-87019-5_6

• Thapa, P. (2022). Soil Erosion Estimation Using Revised Universal Soil Loss Equation (RUSLE) Model and GIS. In GIScience for the Sustainable Management of Water Resources (pp. 253-266). Apple Academic Press. https://doi.org/10.1201/9781003284512

• Regmi, S., Dhungana, B., Saud, R., Gautam, S., Thapa, P., & Bhandari, R. (2022). Prospection of Potential Iron Deposit in Gandaki and Lumbini Province of Nepal Using Remote Sensing Technology. Journal on Geoinformatics, Nepal, 21(1). https://doi.org/10.3126/njg.v21i1.50886.

• Thapa, P., Kuikel, S. (2022). Spatial Analysis of Relationship between Land Surface Temperature, NDVI and LULCC. Geospace 7 (1).

• Thapa, P. (2021). Predicating COVID19 Epidemic in Nepal Using the SIR Model. In: Oliva, D., Hassan, S.A., Mohamed, A. (eds) Artificial Intelligence for COVID-19. Studies in Systems, Decision and Control, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-030-69744-0_14.

• Thapa, P. (2021). The Relationship between Land Use and Climate Change: A Case Study of Nepal. In The Nature, Causes, Effects and Mitigation of Climate Change on the Environment. IntechOpen. https://doi.org/10.5772/intechopen.98282.

• Thapa, P. (2021). POTENTIAL OF UNMANNED AERIAL VEHICLES FOR AGRICULTURE: A REVIEW. Review of Behavioral Aspect in Organizations and Society, 3(1), 1-8. https://doi.org/10.32770/rbaos.vol31-8.

• Thapa, P. (2021). Impacts of Land-Use and Land-Cover Change on Land Degradation: A Case Study in Dolakha District, Nepal. In Re-envisioning Remote Sensing Applications (pp. 209-216). Taylor & Francis Group Publishers. https://doi.org/10.1201/9781003049210-15.

• Thapa, P. (2021). Still a Vision Cadastre 2014 for Nepal. Türkiye Arazi Yönetimi Dergisi , 3 (2) , 53-57 . https://doi.org/10.51765/tayod.899431.

• Thapa, P., & Thapa, N. (2021). Land Parcel Information System Using Free and Open-Source Platform. Proceedings of FIG eWorking Week, 2021.

• Thapa P., Gautam A. (2021). Potential of Free and Open-Source Software for Education in Developing Countries, Proceedings of FOSS4G Asia 2021: In The Era of Artificial Intelligence and IoT for Land Management and Sustainable Development.

• Thapa, P. (2020). Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal. Environmental Systems Research, 9(1), 1-10 https://doi.org/10.1186/s40068-020-00177-2.

• Thapa P, (2020) A Prototype for Interactive Web Map December, Geospace VII.

• Thapa, P., & Upadhyaya, P. S. (2019). Vulnerability assessment of indigenous communities to climate change in Nepal. Journal of Land Management and Geomatics Education, 1(1), 41-46.

• Thapa, P., & Dhulikhel, N. (2019). Observed and perceived climate change analysis in the Terai Region, Nepal. GSJ, 7(12), 35-43.