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Content extraction of long-term Satellite Image Time Series: spatiotemporal analysis of Bucharest metropolitan area

Costachioiu, Teodor and Vaduva, Corina and Lazarescu, Vasile and Datcu, Mihai (2013) Content extraction of long-term Satellite Image Time Series: spatiotemporal analysis of Bucharest metropolitan area. In: MultiTemp 2013 Conference Proceedings, pp. 1-4. IEEE Xplore. MultiTemp 2013, 25.-27. June 2013, Banff, Alberta, Canada.

Full text not available from this repository.

Official URL: http://geog.ucalgary.ca/multitemp2013/sites/geog.ucalgary.ca.multitemp2013/files/multitemp_2013_final_program_-_june_27.pdf

Abstract

Current earth observation data repositories enable us to extract observations of the same geographical area over the course of time and to create satellite image time series (SITS). Such SITS are data sets of high complexity, embedding spatial, spectral and temporal information. The rich content of SITS has generated a great interest in the recent years, many SITS analysis methods being developed. Many of these methods are focused towards improving the precision of land use/land cover detection by exploiting the inherent redundancy of SITS data. Some other methods focus on the evolution of a specific land use/land cover type. Often these methods are applied on SITS that span over a short period of time, typical one or several years. In this paper we focus on a different use scenario of SITS analysis by extracting classes of dynamic evolutions from long-term satellite image time series. As such we create a SITS of over 100 Landsat datasets, spanning from 1984 to 2011, covering the metropolitan area of Bucharest, Romania – perhaps the longest SITS ever being used. The analysis of this SITS aims to evaluate the spatio-temporal evolutions, focusing on finding classes of temporal dynamics of the main land use/land cover classes of the studied area, such as urban areas, agricultural land, forestry and water bodies, identifying interesting evolutions in the studied area. Furthermore, the extracted dynamic classes are used to establish relationships with known ancillary data such as CORINE Land Cover vector data sets or statistical datasets for demographics of the studied area.

Item URL in elib:https://elib.dlr.de/88948/
Document Type:Conference or Workshop Item (Speech)
Title:Content extraction of long-term Satellite Image Time Series: spatiotemporal analysis of Bucharest metropolitan area
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Costachioiu, TeodorPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Vaduva, CorinaPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Lazarescu, VasilePolitehnica University of Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:MultiTemp 2013 Conference Proceedings
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE Xplore
Status:Published
Keywords:Time Series
Event Title:MultiTemp 2013
Event Location:Banff, Alberta, Canada
Event Type:international Conference
Event Dates:25.-27. June 2013
Organizer:University of Calgary
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:06 May 2014 17:18
Last Modified:20 May 2014 12:25

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