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2018-07-15Zeitschriftenartikel DOI: 10.3390/rs10071120
Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches
dc.contributor.authorLausch, Angela
dc.contributor.authorBorg, Erik
dc.contributor.authorBumberger, Jan
dc.contributor.authorDietrich, Peter
dc.contributor.authorHeurich, Marco
dc.contributor.authorHuth, Andreas
dc.contributor.authorJung, András
dc.contributor.authorKlenke, Reinhard
dc.contributor.authorKnapp, Sonja
dc.contributor.authorMollenhauer, Hannes
dc.contributor.authorPaasche, Hendrik
dc.contributor.authorPaulheim, Heiko
dc.contributor.authorPause, Marion
dc.contributor.authorSchweitzer, Christian
dc.contributor.authorSchmulius, Christiane
dc.contributor.authorSettele, Josef
dc.contributor.authorSkidmore, Andrew K.
dc.contributor.authorWegmann, Martin
dc.contributor.authorZacharias, Steffen
dc.contributor.authorKirsten, Toralf
dc.contributor.authorSchaepman, Michael
dc.date.accessioned2019-08-27T11:49:44Z
dc.date.available2019-08-27T11:49:44Z
dc.date.issued2018-07-15none
dc.date.updated2019-08-01T10:35:42Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/21210
dc.description.abstractForest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our forest ecosystems as well as their ecosystem functions. The relationships between drivers, stress, and ecosystem functions in forest ecosystems are complex, multi-faceted, and often non-linear, and yet forest managers, decision makers, and politicians need to be able to make rapid decisions that are data-driven and based on short and long-term monitoring information, complex modeling, and analysis approaches. A huge number of long-standing and standardized forest health inventory approaches already exist, and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis, and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. Therefore, this paper discusses and presents in detail five sets of requirements, including their relevance, necessity, and the possible solutions that would be necessary for establishing a feasible multi-source forest health monitoring network for the 21st century. Namely, these requirements are: (1) understanding the effects of multiple stressors on forest health; (2) using remote sensing (RS) approaches to monitor forest health; (3) coupling different monitoring approaches; (4) using data science as a bridge between complex and multidimensional big forest health (FH) data; and (5) a future multi-source forest health monitoring network. It became apparent that no existing monitoring approach, technique, model, or platform is sufficient on its own to monitor, model, forecast, or assess forest health and its resilience. In order to advance the development of a multi-source forest health monitoring network, we argue that in order to gain a better understanding of forest health in our complex world, it would be conducive to implement the concepts of data science with the components: (i) digitalization; (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles; (iii) Semantic Web; (iv) proof, trust, and uncertainties; (v) tools for data science analysis; and (vi) easy tools for scientists, data managers, and stakeholders for decision-making support.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectforest healtheng
dc.subjectin situ forest monitoringeng
dc.subjectremote sensingeng
dc.subjectdata scienceeng
dc.subjectdigitalizationeng
dc.subjectbig dataeng
dc.subjectbig dataeng
dc.subjectlinked open dataeng
dc.subjectFAIReng
dc.subjectmulti-source forest health monitoring networkeng
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitennone
dc.titleUnderstanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approachesnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/21210-2
dc.identifier.doi10.3390/rs10071120none
dc.identifier.doihttp://dx.doi.org/10.18452/20441
dc.type.versionpublishedVersionnone
local.edoc.container-titleRemote Sensingnone
local.edoc.pages52none
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionMathematisch-Naturwissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameMDPInone
local.edoc.container-publisher-placeBaselnone
local.edoc.container-volume10none
local.edoc.container-issue7none
dc.description.versionPeer Reviewednone
local.edoc.container-articlenumber1120none
dc.identifier.eissn2072-4292
local.edoc.affiliationLausch, Angela; Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany, Lab for Landscape Ecology, Department of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany,none
local.edoc.affiliationBorg, Erik; German Aerospace Center—DLR, German Remote Sensing Data Center—DFD, Kalkhorstweg 53, D-17235 Neustrelitz, Germany,none
local.edoc.affiliationBumberger, Jan; Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany,none
local.edoc.affiliationDietrich, Peter; Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany, Dpartment of Geoscience, Centre of Applied Geosciences, Eberhard Karls University, Hölderlinstr. 12, D-72074 Tübingen, Germany,none
local.edoc.affiliationHeurich, Marco; Department of Conservation and Research, Bavarian Forest National Park, Freyunger Straße 2, D-94481 Grafenau, Germany, Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4, D-79106 Freiburg, Germany,none
local.edoc.affiliationHuth, Andreas; Department of Ecological Modelling, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany,none
local.edoc.affiliationJung, András; Technical Department, Szent István University, Villányi út 29−43, Budapest 1118, Hungary; jung.andrás@kertk.szie.hu, MTA-SZIE Plant Ecological Research Group, Szent István University, Páter Károly u.1., Gödöllő 2100, Hungary,none
local.edoc.affiliationKlenke, Reinhard; Department of Conservation Biology, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany,none
local.edoc.affiliationKnapp, Sonja; Department of Community Ecology, Helmholtz Centre for Environmental Research—UFZ, Theodor-Lieser-Str. 4, D-06120 Halle, Germany,none
local.edoc.affiliationMollenhauer, Hannes; Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany,none
local.edoc.affiliationPaasche, Hendrik; Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany,none
local.edoc.affiliationPaulheim, Heiko; Data and Web Science Group, University of Mannheim, B6 26, D-68159 Mannheim, Germany,none
local.edoc.affiliationPause, Marion; Institut of Photogrammetry and Remote Sensing, Technical University Dresden, Helmholtzstr. 10, D-01061 Dresden, Germany,none
local.edoc.affiliationSchweitzer, Christian; German Environment Agency, Wörlitzer Platz 1, D-06844 Dessau-Rosslau, Germany,none
local.edoc.affiliationSchmulius, Christiane; Department of Remote Sensing, University of Jena, Grietgasse 228B, Grietgasse 6, D-07743 Jena, Germany,none
local.edoc.affiliationSettele, Josef; Department of Conservation Biology, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany, iDiv, German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Deutscher Platz 5e, D-04103 Leipzig, Germany,none
local.edoc.affiliationSkidmore, Andrew K.; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, AE 7500 Enschede, The Netherlands, Department of Environmental Science, Macquarie University, NSW 2109, Sydney 2109, Australia,none
local.edoc.affiliationWegmann, Martin; Department of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Oswald-Külpe Weg 86, 97074 Würzburg, Germany,none
local.edoc.affiliationZacharias, Steffen; Department of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, D-04318 Leipzig, Germany,none
local.edoc.affiliationKirsten, Toralf; Faculty of Applied Computer and Bio Sciences, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany,none
local.edoc.affiliationSchaepman, Michael E.; Remote Sensing Laboratories, Department of Geography, University of Zurich Irchel, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland,none

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