Cerra, Daniele und Ji, Chaonan und Heiden, Uta (2022) Solar Panels Area Estimation Using the Spaceborne Imaging Spectrometer DESIS: Outperforming Multispectral Sensors. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1 (2022), Seiten 9-14. Copernicus Publications. doi: 10.5194/isprs-annals-V-1-2022-9-2022. ISSN 2194-9042.
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Offizielle URL: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2022/9/2022/
Kurzfassung
Solar photovoltaic power plants are in rapid expansion throughout the world, with the total area occupied by panels being linked to the total electrical power produced. This paper considers this case as an instance of the generic problem of estimating the total area occupied by a class of interest in spaceborne hyperspectral images. As the spatial resolution characterizing these sensors is too coarse, spectral unmixing techniques identify the contribution of a specific material to the spectrum related to a single image element. Final results are obtained by summing all contributions in an area of interest, and favourably compared to pixel-based detection, also using higher resolution Sentinel-2 data. The data used in this paper are acquired by the currently operative DESIS sensor, mounted on the International Space Station, encouraging the use of spaceborne imaging spectrometers for such applications.
elib-URL des Eintrags: | https://elib.dlr.de/189792/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Solar Panels Area Estimation Using the Spaceborne Imaging Spectrometer DESIS: Outperforming Multispectral Sensors | ||||||||||||||||
Autoren: |
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Datum: | Juni 2022 | ||||||||||||||||
Erschienen in: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Band: | V-1 | ||||||||||||||||
DOI: | 10.5194/isprs-annals-V-1-2022-9-2022 | ||||||||||||||||
Seitenbereich: | Seiten 9-14 | ||||||||||||||||
Verlag: | Copernicus Publications | ||||||||||||||||
ISSN: | 2194-9042 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Geography; Solar panels; Photovoltaics; Power plants; Sensors; Spatial resolution; Panels; Solar energy; Space stations; Imaging spectrometers; Electric power; International Space Station; Solar power; Estimation; Spectrometers; Hyperspectral imaging | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Optische Fernerkundung | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||
Hinterlegt von: | Cerra, Daniele | ||||||||||||||||
Hinterlegt am: | 11 Nov 2022 11:25 | ||||||||||||||||
Letzte Änderung: | 18 Aug 2023 12:20 |
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