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Time series analysis: Potentials and challenges exploiting optical satellite data for Land System Science

Hostert, Patrick and Baumann, Matthias and Kümmerle, Tobias and Künzer, Claudia and Van der Linden, S. and Müller, Hannes and Pflugmacher, Dirk and Rufin, Philippe and Senf, Cornelius (2015) Time series analysis: Potentials and challenges exploiting optical satellite data for Land System Science. 36th International Symposium on Remote Sensing of Environment, 11-15 May 2015, Berlin.

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Abstract

Global population growth, changing lifestyles and related consumption patterns create an increasing demand for goods and services related to global land use. Human land use hence is a major driver of global change, interacting with and often amplifying effects of climate change. Land use change and land use intensification are multi-faceted, including the rapid sprawl of urban areas, the logging of pristine forest ecosystems, the regulation of water bodies, or the expansion and intensification of agricultural practices. Monitoring land cover and land use change with remote sensing time series is therefore of utmost importance to better quantify and mitigate changes related to human land use. During the last decade, satellite data providers started to make data freely available to the science community. Be it the Landsat archive spanning over four decades, the large amount of value added products supplied by the MODIS Science Team, ESA’s ENVISAT archives, or the ongoing and upcoming ESA Sentinel missions: “Big data” is coming into focus of Land System Science and remote sensing based time series analysis will create unprecedented research opportunities. We here present a conceptual framework on time series analyses and will focus on three related aspects that are vital to create new research opportunities: a) Existing and upcoming sensors and archives motivating innovative pathways b) Methodological frameworks that allow better exploitation of dense / deep time series and provide pathways towards multi-sensor data integration c) Processing environments and related needs for big data analyses We will accordingly provide examples that relate to the global coverage and depth of the Landsat archive, the new opportunities created by the forthcoming Sentinel-2 mission and to multi-sensor approaches. We present time series analysis applications, regionalized results, and finally discuss the potential and challenges of existing and future approaches for deriving improved information on land surface dynamics and for Land System Science at large.

Item URL in elib:https://elib.dlr.de/95806/
Document Type:Conference or Workshop Item (Speech)
Title:Time series analysis: Potentials and challenges exploiting optical satellite data for Land System Science
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hostert, PatrickHU BerlinUNSPECIFIED
Baumann, MatthiasHU BerlinUNSPECIFIED
Kümmerle, TobiasHU BerlinUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Van der Linden, S.Humboldt Universität zu BerlinUNSPECIFIED
Müller, HannesHU BerlinUNSPECIFIED
Pflugmacher, DirkHU BerlinUNSPECIFIED
Rufin, PhilippeHU BerlinUNSPECIFIED
Senf, CorneliusHU BerlinUNSPECIFIED
Date:2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:time series analysis, optical satellite data, land system science
Event Title:36th International Symposium on Remote Sensing of Environment
Event Location:Berlin
Event Type:international Conference
Event Dates:11-15 May 2015
Organizer:Society for Photogrammetry and Remote Sensing
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Frey, Dr. Corinne
Deposited On:19 Jun 2015 12:56
Last Modified:10 Mar 2016 10:33

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