1_6.1 AN ASSESSMENT OF THE ENMAP HYPERSPECTRAL SATELLITE DATA FOR EXPANDING REMOTE SENSING APPLICATION CAPABILITIES

Shevchuk R., Lubskiy M.

Shevchuk R. candidate of geological sciences (PhD), research fellow State Institution “The Institute of Environmental Geochemistry of National Academy of Sciences of Ukraine” ORCID: 0000-0001-6610-4927, Ruslancarse@gmail.com

Lubskiy M. candidate of technical sciences (PhD), senior research fellow State Institution “Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine”

DOI: 10.15407/conference.geointegration.130

Pages: 130-135

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AN ASSESSMENT OF THE ENMAP HYPERSPECTRAL SATELLITE DATA FOR EXPANDING REMOTE SENSING APPLICATION CAPABILITIES

Abstract. This review paper examines the growing demand for detailed spectral information in Earth sciences, a need that is not fully met by traditional multispectral satellite systems. It focuses on the EnMAP (Environmental Mapping and Analysis Program) satellite, a key hyperspectral mission launched by the German Aerospace Center (DLR). The study provides an overview of the satellite’s technical specifications, including its ability to capture data across 242 contiguous spectral bands with a 30-meter spatial resolution. The paper also highlights the mission’s data accessibility and processing tools, such as the EnMAP-Box. A key part of the review is a discussion of diverse applications where EnMAP data is instrumental, including agriculture, forestry, geology, and water quality monitoring. The paper concludes that EnMAP’s high spectral resolution and freely available data provide unique opportunities to significantly expand the capabilities of remote sensing for environmental and scientific research. EnMAP data play a crucial role in environmental monitoring, resource management, and scientific research by offering high-resolution spectral information across visible, near-infrared, and shortwave infrared wavelengths. This capability enables precise characterization of vegetation health, soil composition, water quality, and mineral distributions. One of the key advantages of EnMAP is its ability to extract spectral profiles from diverse land surfaces. By capturing continuous spectral information, EnMAP facilitates material identification, land cover classification, and change detection. Researchers can derive reflectance spectra from raw EnMAP data, enabling advanced applications in agriculture, forestry, and geology. The integration of EnMAP data with the EnMAP-Box offers an efficient workflow for hyperspectral data processing for scientists interested in detailed spectral feature extraction from the Earth’s surface

Key words: remote sensing, geospatial analysis, hyperspectral satellite imagery, land surface mapping, Earth observation.

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