Bilawal Abbasi Remote Sensing, GIS, Earth Science, Geospatial
No reviews yet

Am a dedicated Remote Sensing Analyst with a PhD in Agricultural Remote Sensing and extensive experience in geospatial technology. My core strengths lie in crop area estimation, yield forecasting, land surface temperature (LST) analysis, and crop stress monitoring. I have hands-on expertise with machine learning techniques, including Random Forest and Spectral Matching, and I actively develop AI-based solutions for agricultural applications.

I specialize in working with high-resolution satellite imagery (Sentinel-2, MODIS, Landsat) and advanced platforms like Google Earth Engine and TensorFlow. My analytical skills extend to environmental monitoring, flood assessment, and drought monitoring. Additionally, I excel in integrating data analytics for predictive maintenance and decision support.

As a lifelong learner, I am eager to expand my expertise into new areas like ecosystem monitoring and satellite-based computational models. Whether it’s developing algorithms for Chinese satellites, building smart agriculture solutions, or producing insightful geospatial reports, I am committed to delivering high-quality outcomes for any project I undertake.

Subjects

  • Remote sensing Expert

  • GIS and Remote Sensing Expert

  • Geospatial programs (ArcGIS, ArcGIS Pro, QGIS, SAGA, IDRISI, ERDAS Imagine, ENVI) Expert

  • ArcGIS Pro Expert

  • Geographic Information Systems(GIS) Expert

Experience

  • Remote Sensing Analyst (Jan, 2024–Present) at ADB Asian Development Bank
    - Estimated areas under major crops using spectral matching techniques and various machine learning algorithms,
    providing area-specific bulletins to provincial agriculture departments in Pakistan.
    - Identified crop residue burning fields and assessed their impact on air quality, generating quarterly bulletins on crop
    burning.
    - Conducted capacity-building programs for the Crop Reporting Services Department, covering basic to advanced
    crop monitoring techniques.
    - Developed crop-wise stress bulletins, analyzing the impacts on crop production and yield estimates.
    - Designed statistical sampling frameworks and prepared QField-based cloud data collection projects for efficient field
    data acquisition.
  • GIS Expert (Jan, 2021–Dec, 2022) at Denden International
    - Generated long-term temperature and precipitation trends for various regions in Eritrea.
    - Created key plans for planned cities, including infrastructure layouts for motorways, railways, residential blocks, and
    military zones.
    - Identified catchment areas and suitable sites for constructing small to large water reservoirs.
    - Produced Google Earth walkthrough videos showcasing proposed locations.

Education

  • Agricultural Remote Sensing (Mar, 2018–Dec, 2023) from Graduate School of Chinese Academy of Agricultural Sciences

Fee details

    Rs1,000–5,000/hour (US$3.60–18.01/hour)

    Charges may very upon complexity of the work

Reviews

No reviews yet. Be the first one to review this tutor.