Dr. Nafiseh Kakhani

Address:
Eberhard Karls University Tübingen 
Soil Science and Geomorphology 
Rümelinstraße 19 – 23
D-72070 Tübingen
Office: Room W304, Westbau

Consulting hours:
By arrangement

CV

*11th July 1988 (Isfahan, Iran)

Education

2012-2021
Ph.D in Remote Sensing Engineering

K.N.Toosi University of Technology, Tehran, Iran.

Thesis subject: Spectral-spatial classification of high-resolution multispectral images using segmentation methods.

Supervisor: Dr. Mehdi Mokhtarzade

Advisor: Dr. Mohammad Javad Valadan Zoej

2010-2012
M. Sc. in Remote Sensing Engineering

K.N.Toosi University of Technology, Tehran, Iran

Thesis Subject: Integration of neural networks and fuzzy systems to improve classification methods in hyperspectral images.

Supervisors: Dr. Mehdi Mokhtarzade and Dr. Mohammad Javad Valadan Zoej

2006-2010
BSc. in Geomatics Engineering (Geomatics Engineering)

University of Isfahan, Isfahan, Iran

Final project subject: Statistical Classification of Multi-Beam Echo-Sounder (MBES) Data, using torques.

Supervisor: Dr. Alireza Amiri Simkooei

Academic Experiences

Iranian Space agency:
  • Member of research team of project: “Developing guidelines and standards for laboratory calibration of remote sensing sensors” (November 2012- May 2013), Project manager: Dr. Mehdi Mokhtarzade.
  • Member of research team of Project: “Preparation of national spectral library” (November 2012), Project manager: Dr. Mohammad Javad Valadan Zoej.
Deneshpajoohan Institute of Higher Education (Isfahan):
  • Teaching Introduction to photogrammetry (2 Units), analytical photogrammetry (3 Units), remote sensing basics (2 Units), digital image processing (2 Units) and digital train model (DTM) (2 Units). 2014-2019
University of Isfahan:
  • Teaching Introduction to photogrammetry lab (1 Units), analytical photogrammetry lab (1 Units), remote sensing basics lab (1 Units). 2016-2018
Art University of Isfahan (Faculty of conservation and restoration):
  • Teaching Introduction to photogrammetry (2 Units), 2017-2018

Publications

ISI Journals

Taghizadeh, R., Nabiollahi, K., Kebonye, N. M., Kakhani, N., Ghebleh-Goydaragh, M., Heung, B., Amirian-Chakan, A., Hossaini, S. M. T., Scholten, T. (2024): High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran. In: Geoderma Regional, Jg. 36, p. e00754. doi: 10.1016/j.geodrs.2024.e00754

Kakhani, N., Alamdar, S., Kebonye, N. M., Amani, M., Scholten, T. (2024): Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction. In: Remote Sensing, Jg. 16, H. 3, S. 438. doi: 10.3390/rs16030438

Kakhani, N., Mokhtarzade, M., Valadan Zoej, M. J. (2021): Deep Learning Spatial-Spectral Classification of Remote Sensing Images by Applying Morphology-Based Differential Extinction Profile (DEP). In: Electronics, Jg. 10, H. 23, S. 2893. doi: 10.3390/electronics10232893

Kakhani, N., Mokhtarzade, M. (2019): A new neuro-fuzzy-based classification approach for hyperspectral remote sensing images. In: J Earth Syst Sci, Jg. 128, H. 2.  doi: 10.1007/s12040-018-1054-9

Kakhani, N., Mokhtarzade, M., Valadan Zouj, M. J. (2019): Classification of very high-resolution remote sensing images by applying a new edge-based marker-controlled watershed segmentation method. In: SIViP, Jg. 13, H. 7, S. 1319–1327.  doi: 10.1007/S11760-019-01477-6

ISC Journals (Islamic world Science Citation Center)

  • Kakhani, N., Mokhtarzade, M., Valadan Zouj, M. J. (2021): Segmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC). In: jgit, Jg. 9, H. 1, S. 65–84. doi: 10.52547/jgit.9.1.65
  • Lesani-Gooya, S., Amiri-Simkooei, A., Momeni-Shahraki, M., Kakhani, N. (2014): Comparison between Two Statistical Processing Methods of Multi-Beam Echo-Sounder Data on Histogram Matching. In: jgit, Jg. 2, H. 1, S. 55–73.  doi:10.29252/jgit.2.1.55