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I am a Physics Engineer and Associate Professor in Technology at the Swedish University of Agricultural Sciences, Umeå, Sweden.
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I am interested in remote sensing and optimizing the use of various sensors to monitor the forest. The main goal of my research is to develop new and better methods for doing so. I mostly work with satellite images (radar and optical), airborne laser scanning, and field sample data. The mapping of forest is important for the understanding of the global carbon cycle, since the forest biomass represent a large part of the carbon stored globally. My work includes e.g., estimation of forest growth, changes, and the development of methods to rapidly identify areas affected by natural damages.
The data obtained from remote sensing contain information (e.g., spectral or height) from an observed area. The data (e.g. images) have coordinates which enable extraction of (raster) values for selected locations, where typically information is available about the forest as measured from the ground. The remote sensing data can therefore be used as auxiliary data to model any variable of interest, e.g., biomass. The model can then be used to predict the biomass for every pixel (location) in the image (data) obtained from remote sensing.
My work explores for example what different sensors can be used for, how the data should be processed, and what happens in different conditions when either the acquisition configuration or the observed objects change. The work often relies on statistical methods to achieve this.
I am fortunate to be doing much of my work in collaboration with terrific colleagues and students. If you should have any comments about my research, suggestions for future studies, or invitations for talks or public speaking, please do not hesitate to contact me by e-mail henrik[dot]persson[at]slu[dot]se