Mustafa Serkan Isik

Mustafa Serkan Isik

PhD in Geosciences

Biography

I am a post-doctoral researcher at the OpenGeoHub Research Foundation, located in the Netherlands. I taught computer programming, mathematical & physical geodesy lectures at the Department of Geomatics Engineering, Istanbul Technical University. My research interests include water cycle, agriculture, remote sensing, satellite geodesy, and ML/DL algorithms.

Interests
  • Remote Sensing & EO Data
  • Artificial Intelligence
  • GNSS Reflectometry
  • Satellite & Airborne Gravity
  • Positioning Algorithms
Education
  • PhD in Satellite & Airborne Gravimetry, 2022

    Istanbul Technical University

  • MSc in Gravity Field Modeling, 2016

    Istanbul Technical University

  • BSc in Geomatics Engineering, 2014

    Istanbul Technical University

Skills

Technical
Python
LaTeX & Generic Mapping Tools (GMT)
Matlab
Fortran
Softwares & Packages
Artifical Intelligence (Pytorch, Tensorflow, Sklearn)
Remote Sensing Data Processing (SNAP & ENVI)
Geographic Information Systems (QGIS)
GNSS (RTKLIB, Trimble Bussiness Center, Leica Infinity)

Experience

 
 
 
 
 
OpenGeoHub Foundation
Post-doctoral Researcher
April 2024 – Present Doorwerth, NL

Responsibilities include:

  • time-series analysis of earth observation data, analyzing satellite data and visualization
  • developing land degradation and land potential modeling frameworks
  • modeling Gross Primary Productivity, dynamics in canopy height, estimating gaps between potential and actual ecosystems
  • building models using machine learning and statistics methods
 
 
 
 
 
Istanbul Technical University
Research Fellow (Post-doc)
October 2022 – March 2024 Turkey

Responsibilities include:

  • Research on remote sensing, satellite geodesy, GNSS reflectometry, XAI, and positioning
  • Teaching lectures on computer programming and geosciences
 
 
 
 
 
Researcher (Climate Change AI Project)
August 2022 – November 2023 Turkey
 
 
 
 
 
Istanbul Technical University
Research Assistant
February 2016 – October 2022 Turkey

Responsibilities include:

  • Research on remote sensing, satellite geodesy, GNSS reflectometry, XAI, and positioning
  • Teaching/assisting lectures on computer programming and geosciences
 
 
 
 
 
Scientific Advisor (KAMA PRES INDUSTRY & TRADE INC.)
Software Design for Determining the Ideal Movement Route of Robot Arms via LiDAR and Image Processing
January 2021 – January 2022 Turkey
 
 
 
 
 
Researcher (ITU General Research Project)
Methodological Research on the Improvement of Local Geoid Modeling, Project No: MGA-2018-41592
July 2018 – October 2019 Turkey
 
 
 
 
 
Researcher (ITU General Research Project)
Research on the Optimum Resolution of Digital Elevation Model for the Topographic Effect on Gravity Measurements, Project No: MGA-2018-41585
July 2018 – July 2019 Turkey
 
 
 
 
 
Project Research Assistant (Scientific research project funded by Scientific and Technological Research Council of Turkey (TUBITAK))
July 2018 – July 2019 Turkey

Projects

*
Improving Resiliency of Malian Farmers with Yield Estimation: IMPRESSYIELD
Climate Change AI Project: Using AI-driven Yield Estimation to Improve Resilience of Malian Cotton Farmers
Improving Resiliency of Malian Farmers with Yield Estimation: IMPRESSYIELD
GNSSpy
Python Toolkit for GNSS Data
GNSSpy

Journal Papers

Quickly discover relevant content by filtering publications.
(2023). Explainable Artificial Intelligence for Cotton Yield Prediction with Multisource Data. IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5.

DOI

(2023). Improving Road Segmentation by Combining Satellite Images and LiDAR Data with a Feature-Wise Fusion Strategy. Applied Sciences, 13(10).

DOI

(2022). Improvement of GOCE-Based Global Geopotential Models for Gravimetric Geoid Modeling in Turkey. Geosciences, 12(12), 432.

DOI

(2022). Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning. Remote Sensing, 14(21).

DOI

(2022). Geoid modeling with least squares modification of Hotine’s integral using gravity disturbances in Turkey. Earth Science Informatics, 15(1889–1904).

DOI

(2022). Generation of Istanbul Road Data Set using Google Map API for Deep Learning-Based Segmentation. International Journal of Remote Sensing, 43(8).

DOI

(2022). Investigation of the Geoid Model Accuracy Improvement in Turkey. Journal of Surveying Engineering, 148(3).

DOI

(2021). Colorado geoid computation experiment - Overview and summary. Journal of Geodesy, 95(127).

DOI

(2021). High-Resolution Geoid Modeling Using Least Squares Modification of Stokes and Hotine Formulas in Colorado. Journal of Geodesy, 95(49).

DOI

(2020). An Investigation on Accuracy Analysis of Global and Regional (High Resolution) Digital Elevation Models (in Turkish). Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisis, vol. 20, issue 4, pp. 598-612.

DOI

(2020). Assessment of Gridded Gravity Anomalies for Precise Geoid Modeling in Turkey. Journal of Surveying Engineering, 146(3).

DOI

(2018). Preliminary results of GOCE-based height system unification between Greece and Turkey over marine and land areas. Acta Geodaetica et Geophysica, 53, 61–79.

DOI

Conference Papers

Quickly discover relevant content by filtering publications.
(2023). Feature-wise Fusion of Optical Satellite Images and LiDAR Data: Pathway to Enhance Road Segmentation. In AGU Annual Meeting 2023.

(2023). Corn Yield Prediction with Multi-Dimensional Earth Observation Data Using Machine Learning. In 19. Türkiye Harita Bilimsel ve Teknik Kurultayı.

(2023). Machine Learning Based Soil Moisture Estimation using CYGNSS Mission. In 19. Türkiye Harita Bilimsel ve Teknik Kurultayı.

(2023). Explainability of end and mid-season cotton yield predictors in CONUS. In IEEE IGARSS 2023.

Project DOI

(2023). Informative Earth Observation Variables for Cotton Yield Prediction Using Explainable Boosting Machine. In IEEE IGARSS 2023.

Project DOI

(2023). Interpretable cotton yield prediction model using Earth Observation time series. In IEEE IGARSS 2023.

Project DOI

(2023). Monitoring Daily Soil Moisture in CONUS Region with CYGNSS Satellites. In TUFUAB 2023.

(2023). Multi-source Data Fusion for Estimation of Soil Moisture with LSTM. In TUFUAB 2023.

Awards

Incentive Award
Best Poster Presentation Award

Contact

  • isikm@itu.edu.tr / mustafaserkanisik@gmail.com
  • İstanbul Teknik Üniversitesi, Ayazağa Kampüsü, İnşaat Fakültesi, Geomatik Mühendisliği Bölümü, Ofis No:412, 34469 Sarıyer, İstanbul,
  • ITU Faculty of Civil Engineering, Department of Geomatics Engineering, Office No:412, Maslak, Istanbul
  • DM Me