The postdoctoral research advances on LiDAR data processing to address challenges of large datasets from multi-modal and multi-temporal acquisition with high spatial-temporal resolution.
The developed methods will be applied in forestry, agriculture, built environment, and archaeology, supporting projects at the Finnish Geospatial Research Institute, such as Scan4Est and the UNITE Flagship. Multi-modal and multi-temporal LiDAR enables extraction of novel and more accurate information on land surfaces and targets, improving monitoring capacity and data quality. These advances contribute to both environmental and socio-economic aspects of land monitoring in Finland. A key application is forest monitoring, where innovative methods for detecting and analyzing forest cover and change improve understanding of forest dynamics and growth variability. Thus, this research integrates cutting-edge technologies for close-range land monitoring to support sustainable management in a changing climate.
