Elif SERTEL
@Prof_ElifSertel
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Mom’s of a daughter, Fulbrighter (2006-2008), TUBA-GEBIP Outstanding Young Scientist Awardee-2017, TUBITAK Encouragement Awardee-2021, Professor@ITU
İstanbul, Türkiye
Joined September 2018
It is a great honor for me to receive the prestigious TUBITAK Encouragement Award.
✨Prof. Dr. Elif SERTEL✨ “Uzaktan algılama alanında arazi örtüsü/kullanımı değişimlerinin belirlenmesi; derin öğrenme-yapay zekâ yöntemlerinin süper-çözünürlük, pan-keskinleştirme, obje tanımlama ve segmentasyon problemlerine uygulanması; uzaktan algılama ++
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I am very excited to join the B. John Garrick Institute of Risk Sciences at UCLA as a visiting researcher. @Garrickinstitut
@UCLA
Welcome @Prof_ElifSertel !🐻💙💛 https://t.co/MqynX7KI2w
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I’m happy to share that I’m starting a new position as Visiting Professor/Researcher at University of California, Los Angeles!
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In this chapter, my co-author Xiao Huang and I explore the transformative role of Geospatial Artificial Intelligence (GeoAI) in human geography research, focusing on Land Use and Land Cover (LULC) analysis. https://t.co/cTHIha4A00
link.springer.com
This chapter explores the pivotal role of Geospatial Artificial Intelligence (GeoAI) in advancing human geography research, particularly in the domain of Land Use and Land Cover (LULC) studies. As...
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I’m excited to announce the publication of our book chapter titled “Advancing Human Geography with GeoAI: Transforming Land Use and Land Cover Analysis” in the newly released GeoAI and Human Geography book (Springer).
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You can Read the full article (free access until September 17, 2025): https://t.co/vbWIa8yLer
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Our recent article “Exploring You Only Look Once v8 and v9 for efficient airplane detection in very high resolution remote sensing imagery” has just been published in Engineering Applications of Artificial Intelligence(Q1, CiteScore of 9.5 and IF of 8.0) was published.
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One of my recent articles published in Frontiers in Forests and Global Change just reached a new impact milestone. Here is the link if you would like to read our research:
frontiersin.org
Natural and planted forests, covering approximately 31% of the Earth’s land area, are crucial for global ecosystems, providing essential services such as reg...
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Our group’s GitHub page is at https://t.co/WE1GsLwxdS. We regularly post codes, DL and ML model weights, and datasets related to our GeoAI research. Stay informed about the latest advancements by following us. https://t.co/WE1GsLwxdS
github.com
Remote Sensing AI has 20 repositories available. Follow their code on GitHub.
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I am pleased to announce the publication of our article, "Comparative analysis of deep learning approaches for forest stand type classification: insights from the new VHRTreeSpecies benchmark dataset," in the International Journal of Digital Earth.
tandfonline.com
Remotely sensed data are widely used for forest stand type classification; however, traditional classification methods are time consuming and mostly implemented for spatially limited areas and spec...
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Join us at Istanbul Technical University on May 15th for a seminar on “Toward Fire-Ready Landscapes: AI, Drones, and Remote Sensing for Wildfire Digital Twins “ by Prof. Mohamad Alipour from the University of Illinois Urbana-Champaign.
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One of my recent articles published in Frontiers in Forests and Global Change just reached a new impact milestone. Here is the link if you would like to read our research:
frontiersin.org
Natural and planted forests, covering approximately 31% of the Earth’s land area, are crucial for global ecosystems, providing essential services such as reg...
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başlıklı projeleri ile TÜBİTAK 2209-A programı kapsamında desteklenmeye hak kazanmıştır. Merve ve Can ‘i gönülden tebrik ediyor ve Mekansal Yapay Zeka (GeoAI) yöntemlerini etkin olarak kullacakları projelerinde başarılar diliyorum. TÜBİTAK’ a destekleri için teşekkür ederiz.
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Danışmanlığını yapmakta olduğum öğrencilerim, 🌏Merve Demir, “Yapay Zeka Yöntemleri ile Ağaç Türü Tanımlama ve Haritalama” 🪐Can Michael Hucko, “Yarı Denetimli ve Denetimli Derin Öğrenme Yöntemleri Kullanarak Mars Yüzeyindeki Kraterlerin Otomatik Olarak Belirlenmesi”
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Sevgili İTÜ'lüler, Öğrencilerimizin bilim ve teknoloji alanındaki araştırma projelerini desteklemek, araştırma ekosistemimizi güçlendirmek ve ülkemizin bilimsel ve teknolojik kalkınmasına katkıda bulunmak en büyük önceliklerimizden biridir. Bu doğrultuda, TEKNOFEST dâhil
👉 Öğrencilerimizin araştırma faaliyetlerine katılımını artırmak için LÖKAP-T ve LÖKAP-A proje tipleri hayata geçirildi. • LÖKAP-T: Proje takımlarına özel destek imkânı. • LÖKAP-A: Lisans öğrencileri araştırma teşvik programı.
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📢 Sevgili Öğrenci Arkadaşlarım, İŞKUR Gençlik Programına İTÜ olarak ilk etapta 1204 öğrencimizle katılıyoruz. 🐝👩🎓👨🎓 Program sayesinde siz sevgili öğrencilerimiz eğitim, araştırma, girişimcilik ve öğrenci destek süreçlerinde yetkinliklerinizi geliştirebilecek ve bu kapsamda da
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Bugün tezimi başarı ile savundum!🎊 tüm tez sürecim boyunca her koşulda sınırsız destek sağlayan, yol gösteren ve önümü açan kıymetli danışmanım @Prof_ElifSertel hocama sonsuz teşekkürlerimi sunuyorum. ✨️ https://t.co/FEhZD5SxTK
linkedin.com
📙“Explainable Deep Learning Classification of Tree Species with Very High Resolution VHRTreespecies Dataset” başlıklı yüksek lisans tezini başarı ile savunan öğrencim Şule Nur Topgül’ ü gönülden...
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The Study in Canada Scholarships (SICS) are OPEN! ✈️📚 🔬 Study or conduct research in Canada with this short-term scholarship. 🗓️ Deadline: March 18, 2025 Your chance to explore Canada starts here! 🌟 🔗 Apply: https://t.co/Wb1wHT8aQW
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Our dataset and model weights are available in our GitHub page: GitHub - RSandAI/VHRTrees: A benchmark dataset for deep learning-based tree detection: VHRTrees
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We are excited to announce the publication of our latest article titled "VHRTrees: a new benchmark dataset for tree detection in satellite imagery and performance evaluation with YOLO-based models ", a key outcome of the ERA-NET funded FORESTMap project. https://t.co/Z6EXS5oWOr
frontiersin.org
Natural and planted forests, covering approximately 31% of the Earth’s land area, are crucial for global ecosystems, providing essential services such as reg...
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