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Baissero Garcia, Adrian (2023) Detecting Plastic Debris from Space. Master's, University of Alcalá.
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Abstract
Prove plastic detection in river, dams and canals is possible using non-commercial satellites. Make use of Google Earth Engine (GEE) to access and process large time-series of Sentinel-2 data on the cloud. Estimate surface occupied by plastic debris at sub-pixel level using spectral unmixing. Allow users to detect plastic debris and estimate its dynamics in any region of interest / time interval with minimal supervision.
| Item URL in elib: | https://elib.dlr.de/202088/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Detecting Plastic Debris from Space | ||||||||
| Authors: |
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| Date: | 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 12 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Sentinel-2, plastic, inland waters, floating debris | ||||||||
| Institution: | University of Alcalá | ||||||||
| 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 - Optical remote sensing | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis | ||||||||
| Deposited By: | Cerra, Daniele | ||||||||
| Deposited On: | 16 Jan 2024 13:45 | ||||||||
| Last Modified: | 28 Feb 2025 09:06 |
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