Nafiseh Kakhani


I am a Remote Sensing Engineer, currently an Earth Observation and Machine Learning Scientist at The Landbanking Group GmbH in Munich, with a focus on developing the STOA model for remote sensing image processing in support of nature conservation and regenerative agriculture. Before that, I was a Postdoctoral Researcher at the University of Tuebingen (Germany) in the Geoscience Department under Prof. Dr. Thomas Scholten, where I applied computer vision, machine learning, and deep learning techniques to Earth observation data to extract environmental insights, particularly related to soil. My academic background includes a Bachelor's in Geomatics Engineering, followed by a Master's and PhD in Remote Sensing.

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Publications

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Towards explainable AI: interpreting soil organic carbon prediction models using a learning-based explanation method
Nafiseh Kakhani, Ruhollah Taghizadeh-Mehrjardi, Davoud Omarzadeh, Masahiro Ryo, Uta Heiden, Thomas Scholten
European Journal of Soil Science, 2025
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SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction
Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed Kazem Alavipanah, Michael Mommert, Nikolaos Tziolas, Thomas Scholten
IEEE Transactions on Geoscience and Remote Sensing, 2024
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Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction
Nafiseh Kakhani, Setareh Alamdar, Ndiye Kebonye, Meisam Amani, Thomas Scholten
Remote Sensing, 2024
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A new neuro-fuzzy-based classification approach for hyperspectral remote sensing images
Nafiseh Kakhani, Mehdi Mokhtarzade
Journal of Earth System Science, 2019
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Classification of very high-resolution remote sensing images by applying a new edge-based marker-controlled watershed segmentation method
Nafiseh Kakhani, Mehdi Mokhtarzade, Mohammad Valadan Zouj
Signal, Image and Video Processing, 2019
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High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran
Ruhollah Taghizadeh-Mehrjardi, Kamal Nabiollahi, Ndiye Kebonye, Nafiseh Kakhani, Maryam Ghebleh-Goydaragh, Brandon Heung, Alireza Amirian-Chakan, Sayed Hossaini, Thomas Scholten
Geoderma Regional, 2024

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