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Surfix/README.md

Naheem Adebisi - Environmental Scientist and GIS Analyst

About Me

I am an experienced and solution-oriented GIS Analyst who is passionate about providing simple digital solutions to complex environmental and spatial problems

I am a PhD student at Boise State Unuiversity.

Skills

  • 🌱 Remote Sensing and GIS Analysis
  • 📫 Machine Learning
  • 🔭 Big Earth Data Analysis
  • 📫 Web Development

Research Interest

My research interest covers the broad spectrum of cryosphere, polar oceanograhy, environmental science and climate change with focus on snow hydrology. I am currently conducting research on interferometric synthetic aperture radar InSAR and Machine Learning techniques for retrieving snow parameters.

Publication

  • Abdul-Lateef Balogun & Naheem Adebisi (2021). Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy, Geomatics, Natural Hazards and Risk, 12:1, 653-674, DOI: 10.1080/19475705.2021.1887372

  • Adebisi, N., Balogun, A.-L., Min, T.H., Tella, A., 2021. Advances in estimating Sea Level Rise: A review of tide gauge, satellite altimetry and spatial data science approaches. Ocean & Coastal Management 208, 105632. DOI: https://doi.org/10.1016/j.ocecoaman.2021.105632

  • Adebisi, N., & Balogun, A. L. (2021). A deep-learning model for national scale modelling and mapping of Sea level rise in Malaysia: The past, present, and future. Geocarto International, 1-23.

  • Adebisi, N., Balogun, A. L., Mahdianpari, M., & Min, T. H. (2021). Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites. Remote Sensing, 13(18), 3587.

  • Tella, A., Balogun, A. L., Adebisi, N., & Abdullah, S. (2021). Spatial assessment of PM10 hotspots using Random Forest, K-Nearest Neighbour and Naïve Bayes. Atmospheric Pollution Research, 12(10), 101202.

  • Balogun, A. L., Tella, A., Baloo, L., & Adebisi, N. (2021). A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science. Urban Climate, 40, 100989.

Professional Societies

  • The Geological Society of America 2022 – Present
  • Open Earth Community 2020 – Present
  • Instituition of Geospatial and Remote Sensing Malaysia 2019 – Present
  • Nigeria Instituition of Surveyors 2017 - Present

Portfolio

Popular repositories Loading

  1. icechart icechart Public

    A python package for analyzing Icesat data

    Python 6 2

  2. cv cv Public

    HTML 1

  3. Surfix Surfix Public

    My GitHub Profile

    1 1

  4. CoastSat CoastSat Public

    Forked from kvos/CoastSat

    Global shoreline mapping tool from satellite imagery

    Jupyter Notebook 1

  5. Learn2 Learn2 Public

    A repo for all the things I explore

    Jupyter Notebook 1

  6. earth-analytics-python-env earth-analytics-python-env Public

    Forked from earthlab/earth-analytics-python-env

    A conda environment and docker container to support using earth and environmental data in Python.

    Shell