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PhenoCube - Unleashing the potential of multi-source satellite data and archives for phenological land monitoring

Hüttich, Christian and Hill, Steven and Conrad, Christopher and Eberle, Jonas and Truckenbrodt, Sina and Spengler, Daniel and Borg, Erik (2019) PhenoCube - Unleashing the potential of multi-source satellite data and archives for phenological land monitoring. ESA Living Planet Symposium 2019, 13-17 May 2019, Milan, Italy.

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Abstract

The full potential of deriving information for phenological monitoring based on EO data has not been used so far. Reasons are lacking knowledge of remote sensing data and techniques of users with no remote sensing background, lacking knowledge of data portals and download opportunities for big datasats, lacking knowledge of data preparation, data fusion and processing and limitation of the storage volumes. A data cube based on the open source toolkit of the CEOS Open Data Cube initiative (ODC) has been designed to foster and support the integration of multisource (Sentinel-2, MODIS, Sentinel-1) time series and historical data of the Landsat archive in local scale phenological monitoring activities. Analyses-ready data (ARD) are integrated in a user-friendly web-based environment and linked with easy to use analyses tools that can be applied by non-remote sensing analysts. Most important is the fact that users are able to analyse EO data with the needed flexibility regarding the study area, analyses tool and observation time. PhenoCube provides simple time series tools based on NDVI and Leaf Area Index products for two different environmental monitoring scenarios. The first scenario covers the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN), which is part of the GEOGLAM / JECAM calibration and validation activities. The data cube provides tools for agricultural monitoring purposes. The second area covers the forest ecosystems of the Steigerwald, Germany. The Phenocube is embedded in a network of local scientists with the goal to test the applicability and interoperability in their operational working environment. We show the first results of th Summer 2018 drought monitoring in Germany.

Item URL in elib:https://elib.dlr.de/133244/
Document Type:Conference or Workshop Item (Poster)
Title:PhenoCube - Unleashing the potential of multi-source satellite data and archives for phenological land monitoring
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hüttich, Christianchristian.huettich (at) uni-wuerzburg.deUNSPECIFIED
Hill, Stevensteven.hill (at) uni-wuerzburg.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) geo.uni-halle.deUNSPECIFIED
Eberle, JonasJonas.Eberle (at) dlr.deUNSPECIFIED
Truckenbrodt, SinaSina.Truckenbrodt (at) dlr.dehttps://orcid.org/0000-0002-6016-3747
Spengler, DanielSection 1.4 Remote Sensing, Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, PotsdamUNSPECIFIED
Borg, ErikErik.Borg (at) dlr.deUNSPECIFIED
Date:2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:p. 1
Status:Published
Keywords:Earth Observation, agricultural monitoring, phenology, big data, open data cube, analysis-ready data
Event Title:ESA Living Planet Symposium 2019
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:13-17 May 2019
Organizer:ESA
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
German Remote Sensing Data Center > National Ground Segment
Deposited By: Cremer, Felix
Deposited On:13 Jan 2020 08:46
Last Modified:13 Jan 2020 08:46

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