Nafiseh Kakhani


I am a Remote Sensing Engineer and Geospatial Data Scientist, currently a Postdoc Researcher at the University of Tuebingen (Germany) in the Geoscience department under Prof. Dr. Thomas Scholten. My area of expertise lies in using computer vision for earth observation, but lately, I've been focusing on applying machine learning and deep learning to extract environmental insights, especially concerning 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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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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SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe
Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed-Kazem Alavipanah, Thomas Scholten
arXiv preprint, 2023
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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, Muhammad 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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