Geodata-driven approach to a totally digital population census; [Geodatengetriebener ansatz zur vollständig digitalen bevölkerungszählung]

Abstract

This article examines the DLR Earth Sensing Imaging Spectrometer (DESIS) and the potential of hyperspectral data collected from space. Hyperspectral imaging records information across many narrow spectral bands, allowing researchers to identify characteristics of materials and surfaces that may not be visible in conventional imagery. Spaceborne hyperspectral observations can provide a valuable source of information for environmental monitoring, land analysis, agriculture, mineral studies, and other geospatial applications. The article discusses the role of DESIS in collecting detailed spectral information from Earth and considers the opportunities created by combining hyperspectral observations with modern image-processing and GIS techniques. The large amount of information contained in hyperspectral datasets also creates challenges related to data handling, processing, interpretation, and storage. Appropriate analytical methods are needed to transform raw spectral measurements into useful information about the observed environment. The article highlights the importance of high-quality Earth observation data for understanding surface characteristics and monitoring changes over time. Spaceborne hyperspectral technology expands the range of information available to remote-sensing professionals and researchers and can complement other satellite and airborne datasets. The discussion demonstrates how advanced imaging instruments can strengthen the geospatial information available for scientific and practical applications and contribute to the continuing development of Earth observation from space.