プロフィール詳細

プロジェクトを作成

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Dr. Fırat E.に依頼

Turkey

Remote Sensing & GIS Specialist | Deep Learning for Earth Observation | Academic Writing & Editing Expert

プロフィール概要

I am a GIS and Remote Sensing Specialist with a Ph.D. in Remote Sensing and GIS, focused on developing deep learning-based solutions for Earth observation challenges. My academic and professional journey spans over seven years, during which I have worked on advanced geospatial analytics, spatiotemporal image fusion, depth estimation from aerial imagery, and marine debris detection using satellite data. Currently, I serve as a Postdoctoral Researcher while also contributing to a high-speed rail project as a GIS and Remote Sensing Engineer. I have hands-on experience in geospatial software including QGIS, ArcGIS, ENVI, Google Earth Engine, and various photogrammetry tools. My programming expertise includes Python (TensorFlow, PyTorch, Pandas), MATLAB, R, and SQL, which I use to automate workflows, process large-scale geospatial datasets, and implement AI-driven models. I offer services in academic writing and editing, literature reviews, and scientific consulting—especially in the fields of Earth observation, GIS, and AI applications in remote sensing. I have published in peer-reviewed journals, presented at international conferences, and received the Best PhD Thesis Award from the IEEE GRSS Turkey Chapter.

専門分野

• ☆ Remote Sensing
• ☆ Data Analysis
• ☆ Deep Learning
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)

サービス

• Writing
• Research
• Data & AI

Research Scientific and Technical Research

Data & AI Image Processing

職務経験

Postdoctoral Researcher

Hacettepe University

10月 2023 - 現在

学歴

PhD

Eskisehir Technical University

3月 2019 - 2月 2023

Masters of Science

Yildiz Technical University

9月 2016 - 7月 2018

BSC

Karadeniz Technical Universirt

9月 2011 - 8月 2016

認定資格

• Best PhD Thesis

  IEEE GRSS Turkey Chapter

  12月 2023 - 12月 2023

出版物

JOURNAL ARTICLE

Firat Erdem, Ugur Avdan (2023). STFRDN: a residual dense network for remote sensing image spatiotemporal fusion . International Journal of Remote Sensing.

Fırat Erdem, İrem Gümüşçü, Furkan Altaş, Beril Türkekul, Hasan Alper Kaya, Tolga Bakırman, Bülent Bayram (2023). Water-body Segmentation in Heterogeneous Hydrodynamic and Morphodynamic Structured Coastal Areas by Machine Learning . International Journal of Environment and Geoinformatics.

Fırat Erdem, Nalan Demircioğlu Yıldız, Seyma Berk Acet, Ugur Avdan (2023). Analyzing the effect of view factors on surface heat flux, surface temperature, and vegetation cover . Environmental Science and Pollution Research.

Firat Erdem and Bulent Bayram and Tolga Bakirman and Onur Can Bayrak and Burak Akpinar(2021). An ensemble deep learning based shoreline segmentation approach (WaterNet) from Landsat 8 OLI images . Advances in Space Research. 67. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 964--974. Elsevier {BV}

Fırat Erdem, Uğur Avdan (2020). Comparison of Different U-Net Models for Building Extraction from High-Resolution Aerial Imagery . International Journal of Environment and Geoinformatics.

Nuri Erkin Ocer and Gordana Kaplan and Firat Erdem and Dilek Kucuk Matci and Ugur Avdan(2020). Tree extraction from multi-scale UAV images using Mask R-CNN with FPN . Remote Sensing Letters. 11. (9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 847--856. Informa {UK} Limited

Nusret Demir and Bülent Bayram and Dursun Zafer {\c{S}}eker and Selen Oy and F{\i}rat Erdem(2019). A nonparametric fuzzy shoreline extraction approach from Sentinel-1A by integration of RASAT pan-sharpened imagery . Geo-Marine Letters. 39. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 401--415. Springer Science and Business Media {LLC}

CONFERENCE PAPER

Ugur Avdan, Gordana Kaplan, Zehra Yigit Avdan, Dilek Kucuk Matci, Firat Erdem, Ece Tugba Mizik, Ilknur Demirtas(2021). Comparison of Remote Sensing Soil Electrical Conductivity from PlanetScope and Ground Measured Data in Wheat and Beet Yields . {MDPI}