About Me

It's me Supath Dhital, with undergrad of Geomatics Engineering at IOE Western Region Campus, Pokhara. I have been doing spatial data analysis and doing so much image analysis work. I am very enthusiastic about exploring new information related to geoinformatics and earth science.

I have strong knowledge in Geospatial Data and have done many geospatial analysis, currently primary focus on the Geospatial AI. If we are able to automate the whole analytical part it will be very easy for future works and saves time too.

What i'm doing

  • Web development icon

    Geospatial Data Science

    Applying the Machine Learning to the Geo Data.

  • design icon

    Cartography

    The most modern and high-quality maps made at a professional level.

  • camera icon

    Remote Sensing and Photogrammetry

    I have done Drone Surveys, so many analysis of satellite imagery and so many focusing to the geo data.

  • Surveyor

    Surveying

    I have been doing different kinds of surveying related to road, bridge, land and so many so strong knowledge on surveying and data handling.

  • Earth

    Mapping

    Since 2019, digitizing the geographic features using different tools to extract the crucial geo data and engaging so many sessions and engage in several project sharp my skills towards mapping.

Credentials

  • Training

    Landslides Risk Assessment

    In this webinar, modeling the landslide prone area to automate the system for the early warning to the civilians and make them more aware about the disaster that may happen in near future was the main theme of that training.

  • Summer School

    Geoinformatics Summer School

    It was an amazing experience to be part of this fruitful short course of 2022 International Geoinformatics Summer School organized by the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. The interactive and informative sessions about the different currently demanding and useful Geoinformatics tools, technology and its working field and how it will be implemented for the development of the nation from the well experienced professors from diverse field was the most engaging and beautiful part of this course. By the help of this summer school, I am more aware of how Geoinformatics students can contribute to sustainable development.

  • DGPS Training

    DGPS and LiDAR Training

    Experience CSSGS' groundbreaking DGPS and LiDAR training, supported by UGC, to unlock geospatial technology's potential in precision mapping. Gain an edge in the field with comprehensive instruction, industry collaboration, and hands-on expertise. Elevate your skills and navigate the evolving geospatial landscape confidently.

DGPS Training

DGPS and Lidar Training

Experience CSSGS' groundbreaking DGPS and LiDAR training, supported by UGC, to unlock geospatial technology's potential in precision mapping. Gain an edge in the field with comprehensive instruction, industry collaboration, and hands-on expertise. Elevate your skills and navigate the evolving geospatial landscape confidently.

Working Places

Resume

Education

  1. The University of Alabama, Tuscaloosa, AL 35401, USA

    2024 Spring-

    Currently I am doing my MS in Geography in the Department of Geography and Environmental Studies, UA. I got a full funding scholarship for my masters as I am awarded with Graduate Research Assistant (GRA) to work in the sector of flood inundation mapping using surrogate machine learning models in Surface Dynamics Modeling Lab (SDML) under Prof., Dr. Sagy Cohen.

  2. Pashchimanchal Campus, Institute of Engineering, Tribhuvan University

    2018 — 2023

    I have studied my Bachelor of Geomatics Engineering in Department of Geomatics Engineering Pashchimanchal Campus, Pokhara Nepal. My major in Bachelor was Surveying, Cartography, Remote Sensing and GIS, python for GIS and Geodata Visualization.

  3. REHDON College

    2016 — 2018

    Grade (3.71/4, A+)
    With major subject as Physics, Computer Science, Mathematics and Chemistry, I secured A+ in my +2 Science.

Projects

  1. Preparing Orthophoto usinf UAV Imagery: Case study of Pashchimanchal Campus

    Jan 2023

    Done Drone data abstraction , processing, digitizing of whole Paschimanchal Campus using Agisoft Metashapepro and prepare the map. The complete report can be found here.

  2. Predicting Weather Pattern of Differnt station in Kaski District

    2022-2023

    On behalf of the final year project (thesis) of undergraduate, Prediction of precipitation and temperature from past meteorological data of Pokhara Domestic Airport, Lumle, Begnas and Lamachaur station was carried out.

Experience

  1. Graduate Research Assistant (GRA)

    Jan 2024-

    1. Trying to reduce computational cost by adapting ML model 2. Working to improve forecasting using a surrogate modeling approach by using non precise HAND FIM data and more accurate HECRAS Data.

  2. Junior ML Engineer (Remote) in Omdena

    Jan 2023 — April 2023

    1. Predicting the Nitrogen flow from the farm used as Nitrogen fertilizer to the Nitrous Oxide: One of the top contributors to greenhouse gas using Deep Learning on Remote Sensing data and Validating using Ground truth data following IPCC standard.
    2. Accomplished flood prediction in Belgrade, Serbia using Deep Learning from past meteorological water level data of Danube and Sava river and precipitation data
    3. Done Dark Corridors mapping for Bats in Brussel, Belgium using Computer Vision and Remote Sensing

  3. Data Quality Intern in Humanitarian OpenStreetMap Team (HOT)

    Oct 2022 — Jan 2023

    In this intern,I have done mapping activities in various disaster-prone areas, capturing and digitizing geographic features to generate comprehensive 3D geodata. This valuable resource can be utilized by governmental bodies and NGOs for post-disaster analysis and decision-making. Additionally, I have implemented several web maps and thematic maps to effectively visualize the open geodata, enabling a clearer understanding of spatial information. These efforts aim to support informed decision-making and enhance the assessment and response to natural disasters and related challenges.

  4. Mapping the Vulnerable Places in CLARISSA

    Feb 2022 — Apr 2023

    CLARISSA aims to break the supply chain of child labour in Nepal and Bangladesh. In this project we mapped the most vulnerable places about the child labour among Kathmandu city to prepare open data for the preparedness to overcome this problem and push society towards sustainable development.

  5. Mapping Pakistan 21 Districts on Behalf of Kathmandu Living Labs (KLL)

    Feb 2022 — Apr 2023

    Data Validation/Mapping 21 districts of Khyber Pakhtunkhwa, Pakistan which was supported by World Bank.

My skills

  • Drone Survey
    80%
  • Satellite Analytical Tools (ArcGIS, QGIS, ENVI, esaSNAP)
    60%
  • AI (GeoAI, Spatial Data Science, Computer Vision)
    60%
  • Surveying and Cartography
    90%
  • DGPS and LiDAR
    60%
  • PostgreSQL (PostGIS)
    50%
  • Data Visualization Tools (xarray, Matplotlib, plotly, seaborn)
    70%

Contact

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