معرفی
Michael Seidel serves as a Research Associate at the Institute of Geography, University of Leipzig, working under Prof. Dr. Michael Vohland in the Chair of Geoinformatics and Remote Sensing since May 2014. His work integrates advanced remote sensing techniques with soil science applications.
Education:
- Master's degree in Physical Geography / Geoecology (M.Sc.) from University of Leipzig (2010-2014), with minors in Vegetation Ecology/Plant Geography and Geosciences
- Bachelor's degree in Geography (B.Sc.) from University of Leipzig (2007-2010), with minors in Geosciences and General Chemistry
Seidel's research centers on measuring and mapping soil properties using near-field and remote sensing methods. He specializes in optimizing on-site measurements with portable spectrometers (both imaging and non-imaging) and developing machine learning algorithms for quantifying key soil characteristics. His work extends to digital soil mapping for monitoring programs across different scales by combining spectrometric point data with spatial covariates like multispectral satellite imagery and digital surface models. Current teaching activities include Statistics for Geographers (B.Sc.), Analysis of Remote Sensing Data (B.Sc.), and Multivariate Data Analysis in Spectroscopy (M.Sc.).
His publication record demonstrates expertise in soil spectroscopy applications, particularly in organic carbon assessment using portable instruments across visible-to-near-infrared and mid-infrared spectrums. Research projects reveal sustained funding from sources including the German Research Foundation (DFG), focusing on mobile spectroscopic methods for soil property determination, cost-effective organic matter detection in agricultural soils, and hyperspectral water monitoring systems.
Research Projects:
- Synergetic Use of Mobile and Lab-Based Spectroscopic Methods (2018-2021, DFG-funded)
- Screening Methods for Organic Matter Detection in Agricultural Soils (2017-2019)
- Water Monitoring in Vertical Profiles Using Hyperspectral Technology (2014-2017)
Seidel maintains active research in both field-based soil property measurement and algorithmic development for environmental monitoring applications, with particular emphasis on practical implementations for soil conservation and agricultural management.
