Magdon, Paul

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[["dc.bibliographiccitation.artnumber","129"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","9"],["dc.contributor.affiliation","Lausch, Angela; \t\t \r\n\t\t Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research—UFZ, Permoserstr. 15, Leipzig D-04318, Germany, \t\t \r\n\t\t Department of Geography, Lab for Landscape Ecology, Humboldt Universität zu Berlin, Rudower Chaussee 16, 12489 Berlin, Germany,"],["dc.contributor.affiliation","Erasmi, Stefan; \t\t \r\n\t\t Cartography GIS & Remote Sensing Section, Institute of Geography, Georg−August−University Göttingen, Goldschmidtstr. 5, Göttingen D-37077, Germany,"],["dc.contributor.affiliation","King, Douglas; \t\t \r\n\t\t Geomatics and Landscape Ecology Lab, Department of Geography and Environmental Studies, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada,"],["dc.contributor.affiliation","Magdon, Paul; \t\t \r\n\t\t Chair of Forest Inventory and Remote Sensing, Georg-August-University Göttingen, Büsgenweg 5, Göttingen D-37077, Germany,"],["dc.contributor.affiliation","Heurich, Marco; \t\t \r\n\t\t Bavarian Forest National Park, Department of Conservation and Research, Freyunger Straße 2, Grafenau D-94481, Germany,"],["dc.contributor.author","Lausch, Angela"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","King, Douglas J."],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Heurich, Marco"],["dc.date.accessioned","2018-11-07T10:27:41Z"],["dc.date.accessioned","2020-05-11T13:15:54Z"],["dc.date.available","2018-11-07T10:27:41Z"],["dc.date.available","2020-05-11T13:15:54Z"],["dc.date.issued","2017"],["dc.date.updated","2022-02-09T13:23:38Z"],["dc.description.abstract","Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances, resource limitations or unsustainable management, causing changes in forest health (FH) at various scales from the local to the global scale. Reactions to such stress depend on the phylogeny of forest species or communities and the characteristics of their impacting drivers and processes. There are many approaches to monitor indicators of FH using in-situ forest inventory and experimental studies, but they are generally limited to sample points or small areas, as well as being time-and labour-intensive. Long-term monitoring based on forest inventories provides valuable information about changes and trends of FH. However, abrupt short-term changes cannot sufficiently be assessed through in-situ forest inventories as they usually have repetition periods of multiple years. Furthermore, numerous FH indicators monitored in in-situ surveys are based on expert judgement. Remote sensing (RS) technologies offer means to monitor FH indicators in an effective, repetitive and comparative way. This paper reviews techniques that are currently used for monitoring, including close-range RS, airborne and satellite approaches. The implementation of optical, RADAR and LiDAR RS-techniques to assess spectral traits/spectral trait variations (ST/STV) is described in detail. We found that ST/STV can be used to record indicators of FH based on RS. Therefore, the ST/STV approach provides a framework to develop a standardized monitoring concept for FH indicators using RS techniques that is applicable to future monitoring programs. It is only through linking in-situ and RS approaches that we will be able to improve our understanding of the relationship between stressors, and the associated spectral responses in order to develop robust FH indicators."],["dc.description.sponsorship","Helmholtz Association; Federal Ministry of Education and Research"],["dc.identifier.doi","10.3390/rs9020129"],["dc.identifier.eissn","2072-4292"],["dc.identifier.isi","000397013700031"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14435"],["dc.identifier.scopus","2-s2.0-85013669716"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65011"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-85013669716&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.relation.issn","2072-4292"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Understanding Forest Health with Remote Sensing-Part II-A Review of Approaches and Data Models"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

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[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Bae, Soyeon"],["dc.contributor.author","Levick, Shaun R."],["dc.contributor.author","Heidrich, Lea"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Leutner, Benjamin F."],["dc.contributor.author","Wöllauer, Stephan"],["dc.contributor.author","Serebryanyk, Alla"],["dc.contributor.author","Nauss, Thomas"],["dc.contributor.author","Krzystek, Peter"],["dc.contributor.author","Gossner, Martin M."],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Heibl, Christoph"],["dc.contributor.author","Bässler, Claus"],["dc.contributor.author","Doerfler, Inken"],["dc.contributor.author","Schulze, Ernst-Detlef"],["dc.contributor.author","Krah, Franz-Sebastian"],["dc.contributor.author","Culmsee, Heike"],["dc.contributor.author","Jung, Kirsten"],["dc.contributor.author","Heurich, Marco"],["dc.contributor.author","Fischer, Markus"],["dc.contributor.author","Seibold, Sebastian"],["dc.contributor.author","Thorn, Simon"],["dc.contributor.author","Gerlach, Tobias"],["dc.contributor.author","Hothorn, Torsten"],["dc.contributor.author","Weisser, Wolfgang W."],["dc.contributor.author","Müller, Jörg"],["dc.date.accessioned","2020-11-05T14:56:53Z"],["dc.date.available","2020-11-05T14:56:53Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1038/s41467-019-12737-x"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17026"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68381"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-352.4"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2041-1723"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Radar vision in the mapping of forest biodiversity from space"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","1029"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Lausch, Angela"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","King, Douglas J."],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Heurich, Marco"],["dc.date.accessioned","2018-11-07T10:04:52Z"],["dc.date.accessioned","2020-05-11T13:23:05Z"],["dc.date.available","2018-11-07T10:04:52Z"],["dc.date.available","2020-05-11T13:23:05Z"],["dc.date.issued","2016"],["dc.description.abstract","Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all scales from local to global. In rapidly changing environments, in-situ terrestrial FES monitoring approaches have made tremendous progress but they are intensive and often integrate subjective indicators for forest health (FH). Remote sensing (RS) bridges the gaps of these limitations, by monitoring indicators of FH on different spatio-temporal scales, and in a cost-effective, rapid, repetitive and objective manner. In this paper, we provide an overview of the definitions of FH, discussing the drivers, processes, stress and adaptation mechanisms of forest plants, and how we can observe FH with RS. We introduce the concept of spectral traits (ST) and spectral trait variations (STV) in the context of FH monitoring and discuss the prospects, limitations and constraints. Stress, disturbances and resource limitations can cause changes in FES taxonomic, structural and functional diversity; we provide examples how the ST/STV approach can be used for monitoring these FES characteristics. We show that RS based assessments of FH indicators using the ST/STV approach is a competent, affordable, repetitive and objective technique for monitoring. Even though the possibilities for observing the taxonomic diversity of animal species is limited with RS, the taxonomy of forest tree species can be recorded with RS, even though its accuracy is subject to certain constraints. RS has proved successful for monitoring the impacts from stress on structural and functional diversity. In particular, it has proven to be very suitable for recording the short-term dynamics of stress on FH, which cannot be cost-effectively recorded using in-situ methods. This paper gives an overview of the ST/STV approach, whereas the second paper of this series concentrates on discussing in-situ terrestrial monitoring, in-situ RS approaches and RS sensors and techniques for measuring ST/STV for FH."],["dc.description.sponsorship","Helmholtz Association; Federal Ministry of Education and Research"],["dc.identifier.doi","10.3390/rs8121029"],["dc.identifier.isi","000392489400058"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14315"],["dc.identifier.scopus","2-s2.0-85018452526"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65043"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38789"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-85018452526&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","2072-4292"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Understanding forest health with remote sensing-Part I-A review of spectral traits, processes and remote-sensing characteristics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

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