Paper
12 August 2016 Demonstrative potential of multitemporal satellite imagery in documenting urban dynamics: generalisation from the Bucharest city case
Mihaela Aldea, Florian Petrescu, Eberhard Parlow, Cristina Iacoboaea, Oana Luca, Mihai Sercaianu, Florian Gaman
Author Affiliations +
Proceedings Volume 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016); 96881X (2016) https://doi.org/10.1117/12.2240724
Event: Fourth International Conference on Remote Sensing and Geoinformation of the Environment, 2016, Paphos, Cyprus
Abstract
The main objective of this paper is to demonstrate the potential of multitemporal satellite imagery to be processed and used in documenting urban changes that took place over time, with limited resources involved and taking advantage of the opportunity to be able to use the satellite imagery available as open data. The possibilities to analyse and compare the written literature regarding the chronological evolution of a city with the patterns of Land Use/Land Cover obtained from the processing of satellite remotely sensed images of the respective scenery were investigated based upon a case study of a selected city. The extent of the prospects of using remote sensing based methods and multitemporal satellite imagery is also expressed as a result of this investigation.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mihaela Aldea, Florian Petrescu, Eberhard Parlow, Cristina Iacoboaea, Oana Luca, Mihai Sercaianu, and Florian Gaman "Demonstrative potential of multitemporal satellite imagery in documenting urban dynamics: generalisation from the Bucharest city case", Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96881X (12 August 2016); https://doi.org/10.1117/12.2240724
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Cited by 3 scholarly publications.
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KEYWORDS
Earth observing sensors

Satellite imaging

Satellites

Image fusion

Image segmentation

Landsat

Image processing

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