Master Thesis: Role of remote sensing for the estimation of carbon stock in wood products


Field(s) of expertise
Information Technology
Job type

About this job

The carbon cycle is affected when forests are harvested. CO2 is released during harvesting and manufacture of wood products and by the use and disposal of wood. Harvested wood products (HWP) according to the IPCC good practice guidance (2003) include wood and paper products. Different types of wood products are e.g. saw wood, pulpwood for board and pulpwood for energy use. The harvesting of wood is also directly linked to land cover/use changes. For the inventory and quantification of the different wood products LIDAR and remote sensing data can be utilized as information source complemented with information from forest inventories and field work. Profile equations for different species published in scientific publications are used to estimate the products. To estimate carbon stock the calculation of the carbon stored in each inventoried wood product is performed. The quantification of the CO2 stored in these products has a relevance in the context of climate change.


  • Identification and quantification of wood products based on available information
  • Methodology development for carbon stock estimation in wood products (carbon storage, time of storage) of each product
  • Application of remote sensing information in the context of carbon stock estimation in wood products (e.g. Land use change, inventory, species)
  • The completion of the tasks includes a 4-month stay in Soria (Spain) with consortium partners (CESEFOR) of the EC project.


  • M.Sc.student with focus on Forestry, Carbon Stock Estimation and Remote Sensing
  • Extensive knowledge about carbon stock estimation
  • Experiences with the assessment of wood products
  • Fluent in English language

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