Science Service System

Summary of Proposal LAN2423

TitleNew TSX Staring Spotlight Mode for vegetation analysis across four different biomes (boreal, temperate, tropical forests and savannah) - StarBiome
Investigator Thiel, Christian - Friedrich-Schiller University, Institute of Geography / Geoinformatics
Team Members
Prof. Schmullius, Christiane - Friedrich-Schiller-University Jena, Earth Observation
M.Sc. Berger, Christian - Friedrich-Schiller-University Jena, Earth Observation
M.Sc. Stelmaszczuk-Gorska, Martyna - Friedrich-Schiller-University Jena, Earth Observation
M.Sc. Urbazaev, Mikhail - Friedrich-Schiller-University Jena, Earth Observation
SummaryThe overall goal of the project is to evaluate the use of the new Staring Spotlight mode of TerraSAR-X for vegetation monitoring in four biomes boreal, temperate, tropical forests and savannah and to further demonstrate the benefit of SAR data for forestry applications. The research will be divided in two main sections: a.characterization of vegetation parameters b.AGB biomass estimation. Within the first section the parameters of boreal, temperate and tropical forests and savannah will be estimated. The focus will be on forest and savannah classification including small-scale disturbances mapping. Several processing approaches (segmentation, filtering, classification methods, etc.) will be evaluated to develop automated, robust and transferable classification scheme. The algorithms for forest structure and the forest types will be developed. The second section will be focused on ABG estimation. The AGB estimation can be conducted using two different approaches, namely statistical modelling and knowledge-based concept. The methods will be tested over four sites representing different biomes located in Siberia,Russia (boreal forest), Mexico (tropical forest), Chile and Germany (temperate forest) and in SouthAfrica (savannah). Required data refer to the very high-resolution Staring Spotlight mode images in single polarisation for vegetation monitoring and forest applications in four biomes. The acquisition plan and the number of images needed are designed in the way to optimally capture the biomes seasonality and diversity. The additional data that are required to perform the research, namely digital elevation model (DEM), weather information, in-situ data, other remote sensing data, are or will be available within ongoing projects, European Space Agency (ESA) Cat. 1 projects, GermanFederal Ministry of Economics and Technology (BMWi) and German Aerospace Center (DLR) ForestBiomass project, Kyoto & Carbon Initiative and Japan Aerospace Exploration Agency (JAXA) project PALSAR-2 data to support the assessment of aboveground forest biomass (PAL2BIO) project utilizing the new L-band mission data. The anticipated results and deliverables of the projects are: automatic algorithms for forest and non-forest classification method for small-scale forest disturbance mapping algorithm for forest type mapping 4.forest density estimation 5.AGB estimation for the study areas across four biomes. Funding will be covered by forthcoming projects and budget positions (PhD).

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