Satellite images - like all digital images - are rich in spatial entropy, this information can be used as a separate channel to classify local diversity in an image.
Analysis of cities, land and forest can be done with high semantic precision. For example, different socio-economic conditions can be mapped as well as proportions of deciduous trees in a coniferous forest and thus the identification of clearing needs.
IVA’s 100 List 2019 highlights a diverse range of research projects from Swedish universities, under the theme From knowledge to competitiveness. The projects have been selected based on their great potential to create value through commercialization, business and method development, or societal impact. All participating researchers are interested in increased contacts with the business sector for the application and further development of their projects.
Named contact persons for each research project on the 100 List are responsible for the accuracy of the information presented.
