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Matayeva, Ainur (2014) Deriving the distribution of population from nighttime lights data. Master's, TU München.
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Abstract
From the gallery of nighttime light images shown in the chapter, it is evident that nighttime lights make it possible to gather significant information about our Earth. For this reason finding a relationship of nighttime lights to population and deriving a method to distribute population using nighttime lights data are chosen as topic for this work.
| Item URL in elib: | https://elib.dlr.de/92965/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Deriving the distribution of population from nighttime lights data | ||||||||
| Authors: |
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| Date: | 24 September 2014 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 68 | ||||||||
| Status: | Published | ||||||||
| Keywords: | nighttime lights data | ||||||||
| Institution: | TU München | ||||||||
| Department: | Faculty of Civil, Geo and Environmental Engineering | ||||||||
| 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 - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis | ||||||||
| Deposited By: | INVALID USER | ||||||||
| Deposited On: | 02 Dec 2014 13:02 | ||||||||
| Last Modified: | 02 Dec 2014 14:03 |
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