Pinnel, Nicole and Langheinrich, Maximilian and de los Reyes, Raquel and Soppa, M. A. and Randrianalisoa, Avotramalala N. and Bracher, Astrid and Heege, Thomas and Gege, Peter and Pato, Miguel and Habermeyer, Martin and Carmona, Emiliano (2024) The EnMAP Ground Segment Processor for aquatic applications. Ocean Optics XXVI, 2024-10-06 - 2024-10-11, Las Palmas de Gran Canaria, Spain.
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Abstract
EnMAP, the Environmental Mapping and Analysis Program, is a German satellite mission that was successfully launched in April 2022. EnMAP is an optical (VNIR/SWIR) remote sensing mission with high spatial (30 m GSD) and spectral (FWHM ~6-12 nm) resolution. While initially designed for terrestrial applications, EnMAP holds significant potential for aquatic studies due to its hyperspectral capabilities. EnMAP ground segment processing is pioneering by providing separate processing chains for land and water, allowing tailored data processing for each application. It also includes a sunglint avoidance mechanism using EnMAP’s tilting capability for mitigating the impact of sunglint-contaminated pixels in specific geographical constellations. The EnMAP satellite is equipped with a VNIR-SWIR push-broom hyperspectral imager that covers a spectral range from 420 to 2450 nm and comprises 224 contiguous spectral bands. EnMAP follows a sun-synchronous orbit with a revisit period of 27 days, extendable to less than four days through off-nadir pointing capabilities. Users have access to three product levels: L1B, L1C, and L2A. What stands out is its separate processing chains for land and water pixels within the L2A processing, offering two types of water reflectance data: subsurface irradiance reflectance and normalized water leaving reflectance. The paper explores the advantages of EnMAP's ground segment processing chain and its applications in aquatic research, highlighting the significance of accurate water reflectance data. The optimized processing enhances data quality, rendering terrestrial sensors more applicable for monitoring aquatic ecosystems. EnMAP thus provides a unique opportunity to understand aquatic ecosystems paving the way for future hyperspectral missions.
| Item URL in elib: | https://elib.dlr.de/208841/ | ||||||||||||||||||||||||||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||||||||||||||||||||||||||||||||||
| Title: | The EnMAP Ground Segment Processor for aquatic applications | ||||||||||||||||||||||||||||||||||||||||||||||||
| Authors: |
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| Date: | 7 October 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||
| Refereed publication: | No | ||||||||||||||||||||||||||||||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||||||||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||||||||||||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||||||||||||||||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||||||||||||||||||||||
| Keywords: | EnMAP, hyperspectral, L2A, water, atmospheric correction, aquatic | ||||||||||||||||||||||||||||||||||||||||||||||||
| Event Title: | Ocean Optics XXVI | ||||||||||||||||||||||||||||||||||||||||||||||||
| Event Location: | Las Palmas de Gran Canaria, Spain | ||||||||||||||||||||||||||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||||||||||||||||||||||||||
| Event Start Date: | 6 October 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||
| Event End Date: | 11 October 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||
| Organizer: | The Oceanography Society | ||||||||||||||||||||||||||||||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||||||||||||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||||||||||||||||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research, R - Optical remote sensing, R - Project EnMAP Phase E | ||||||||||||||||||||||||||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||||||||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis Remote Sensing Technology Institute > Experimental Methods German Remote Sensing Data Center > International Ground Segment | ||||||||||||||||||||||||||||||||||||||||||||||||
| Deposited By: | Pinnel, Dr.rer.nat Nicole | ||||||||||||||||||||||||||||||||||||||||||||||||
| Deposited On: | 19 Nov 2024 13:06 | ||||||||||||||||||||||||||||||||||||||||||||||||
| Last Modified: | 19 Nov 2024 13:06 |
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