elham Elham

Elham Shafeian

  • Karlsruher Institut für Technologie (KIT)
    Institut für Geographie und Geoökologie
    Kaiserstr. 12
    76131 Karlsruhe
    Germany

Elham Shafeian

Topics

  • Forest decline
  • Plant species interactions
  • Change detection using remote sensing

Curriculum vitae

2018

IUFRO Grant (The Special Program for Development of Capacities (SPDC)) for Oral  presentation in the 6th International Conference on Plants and Environmental Pollution (ICPEP-6), hold in Lucknow, India

Since 2018    

PhD student at the Institute of Geography and Geoecology (KIT).  Topic: Multi-scale remote sensing and dendro-chronological methods for an improved understanding of forest decline in the Zagros forest area, Iran (Prof. D. Schmidtlein, Dr. F. Fassnacht)

Since 2018

DAAD Research Grant for PhD in Germany

Since 2018

Gundishapur Grant (A Joint project between the University of Tehran and The University of Nantes)

2016

Aspirant Grant funded by Karlsruhe Institute of Technology, Germany, 10th March-10th April, 2017

2012-2014   

Master of Science at the University of Tehran in Range Management and Ecology, thesis: “Preparing vegetation products map and classification of condition of Taliqan rangelands using Remote Sensing methods”, Iran (Dr. Hossein Arzani and Dr. Seyed Kazem Alavipanah)

2008-2012

Bachelor of Science at the University of Guilan in Range and Watershed Engineering, Iran,  thesis: Social and economic issues in Masuleh district

2005-2008

High School Diploma: Esmat High School – Karaj, Iran

Publications


Unveiling the main drivers of tree decline in Zagros semi-arid forests
Shafeian, E.; Ewald, M.; Latifi, H.; Fassnacht, F. E.
2024. (R. Manso, Hrsg.) Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpae048
Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products
Fassnacht, F. E.; Mager, C.; Waser, L. T.; Kanjir, U.; Schäfer, J.; Buhvald, A. P.; Shafeian, E.; Schiefer, F.; Stančič, L.; Immitzer, M.; Dalponte, M.; Stereńczak, K.; Skudnik, M.
2024. Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpae021
A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data
Ghasemi, M.; Latifi, H.; Shafeian, E.; Naghavi, H.; Pourhashemi, M.
2024. International Journal of Remote Sensing, 45 (4), 1079 – 1109. doi:10.1080/01431161.2024.2305630
Multi-scale remote sensing methods for an improved understanding of forest decline in the Zagros Forest area. Dissertation
Shafeian, E.
2024, Januar 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000167177
Detecting semi-arid forest decline using time series of Landsat data
Shafeian, E.; Fassnacht, F. E.; Latifi, H.
2023. European Journal of Remote Sensing, 56 (1), Art.-Nr. 2260549. doi:10.1080/22797254.2023.2260549
Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data
Shafeian, E.; Fassnacht, F. E.; Latifi, H.
2021. International Journal of Applied Earth Observation and Geoinformation, 105, Art.-Nr.: 102621. doi:10.1016/j.jag.2021.102621