معرفی
Maciej Soja is a Researcher at Chalmers University of Technology in Gothenburg, Sweden, affiliated with the Department of Space, Earth and Environment within the Microwave and Optical Remote Sensing research group. His career has focused on developing advanced remote sensing techniques for forest monitoring and biomass estimation using Synthetic Aperture Radar (SAR) technology.
Dr. Soja completed his doctoral thesis titled "Modelling and Retrieval of Forest Parameters from Synthetic Aperture Radar Data" in 2014, building upon his earlier licentiate work from 2012. His educational background established the foundation for his expertise in radar remote sensing applications for forestry.
His research interests center on forest biomass mapping using SAR technology, particularly with P-band and L-band systems. He has made significant contributions to the European Space Agency's BIOMASS mission, developing algorithms for above-ground biomass estimation and implementing the level 2 processor. His work extensively utilizes TanDEM-X data for national forest mapping and employs tomographic techniques to improve biomass retrieval accuracy. Dr. Soja has pioneered methods for ground backscatter removal in SAR data to enhance forest parameter estimation, especially in challenging terrain.
Analysis of his recent publications reveals a strong focus on operational forest monitoring systems, with increasing emphasis on the BIOMASS mission applications. His work bridges theoretical modeling with practical implementation for national forest inventories, demonstrating consistent progression from method development to real-world applications across boreal, hemi-boreal, and tropical forest ecosystems.
Dr. Soja has secured significant research funding from the European Space Agency (ESA) and the Swedish National Space Board for multiple projects including the "BIOMASS level 2 implementation study" (2017-2020), "AdvancedSAR" (2013-2017), and "3D Forest Parameter Retrieval from Tandem-X Interferometry" (2012-2013). His collaborative network includes key institutions like ESA and researchers across Europe.
He has been instrumental in the BorealScat project, a tower-based tomographic and polarimetric radar experiment in the boreal forest at P- and L-band, which provides critical validation data for satellite missions. His current research continues to advance forest monitoring capabilities using next-generation SAR systems for climate change assessment and sustainable forest management.
