Satellite remote sensing-based forest stock estimation technology
Prime Contractor: Institute of Electronics and Computer Science
Cooperation partner: SIA “Baltic Satellite Service”
Agreement with Central Financing and Contracting Agency (CFCA) No.220.127.116.11/18/A/165
Scientific manager: Dr.sc.comp. Ints Mednieks
Scientific manager of the Cooperation partner: Mg.geogr. Ilze Bargā
Time frame: from March 1, 2019 to February 28, 2022
Project objective: to develop a novel technology for the cost-effective estimation of forest stock volume based on high-resolution satellite remote sensing data.
The project is focused on the development of the prototype technology for estimation of forest stock volume from high-resolution satellite data, including methods for identification of tree species, estimation of tree height, estimation of forest density and estimation of forest stock volume from information about tree species, tree height and forest density.