Magdon, Paul

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[["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Fuchs, H."],["dc.contributor.author","Fischer, C."],["dc.contributor.author","Kleinn, C."],["dc.date.accessioned","2020-11-09T13:15:38Z"],["dc.date.available","2020-11-09T13:15:38Z"],["dc.date.issued","2010"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68619"],["dc.notes.preprint","yes"],["dc.relation.conference","3. RESA Nutzerworkshop"],["dc.relation.eventlocation","Neustrelitz"],["dc.relation.eventstart","2010"],["dc.relation.iserratumof","yes"],["dc.title","Forest cover monitroing using RapidEye: a case study in Costa Rica"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","252"],["dc.bibliographiccitation.journal","Remote Sensing of Environment"],["dc.bibliographiccitation.lastpage","262"],["dc.bibliographiccitation.volume","149"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Fischer, Christoph"],["dc.contributor.author","Fuchs, Hans"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:08Z"],["dc.date.available","2017-09-07T11:47:08Z"],["dc.date.issued","2014"],["dc.identifier.doi","10.1016/j.rse.2014.03.033"],["dc.identifier.gro","3149260"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5917"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.publisher","Elsevier BV"],["dc.relation.issn","0034-4257"],["dc.title","Translating criteria of international forest definitions into remote sensing image analysis"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","410"],["dc.bibliographiccitation.journal","Ecological Indicators"],["dc.bibliographiccitation.lastpage","425"],["dc.bibliographiccitation.volume","102"],["dc.contributor.author","Kukunda, Collins B."],["dc.contributor.author","Beckschäfer, Philip"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Wirth, Christian"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2020-11-05T14:56:53Z"],["dc.date.available","2020-11-05T14:56:53Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.ecolind.2019.02.056"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68383"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-352.4"],["dc.relation.issn","1470-160X"],["dc.title","Scale-guided mapping of forest stand structural heterogeneity from airborne LiDAR"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","14"],["dc.bibliographiccitation.journal","Environmental Modelling & Software"],["dc.bibliographiccitation.lastpage","26"],["dc.bibliographiccitation.volume","73"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Cañellas, Isabel"],["dc.contributor.author","Sixto, Hortensia"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:09Z"],["dc.date.available","2017-09-07T11:47:09Z"],["dc.date.issued","2015"],["dc.description.abstract","Tree biomass estimates in environmental studies are based on allometric models, which are known to vary with species, site, and other forest characteristics. The UNFCCC published a guideline to evaluate the appropriateness of biomass models before application, but it misleads the concept of model suitability and does also allow the selection of models with systematic deviations in the predictions. Here we present an alternative approach based on non-parametric techniques. The approach was tested for pure stands, but this methodology is likewise applicable to mixed forests. The proposed tests perform well in rejecting a model if the predictions for the targeted population are systematically deviant. It is demonstrated that the suitability of an allometric model is a matter of accuracy. The proposed method also allows localizing the model. The presented approach can improve the transparency of global forest monitoring systems and can be implemented with relatively small effort."],["dc.identifier.doi","10.1016/j.envsoft.2015.07.019"],["dc.identifier.gro","3149279"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5938"],["dc.language.iso","en"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | B | B05: Land use patterns in Jambi - quantification of structure, heterogeneity and changes of vegetation and land use as a basis for the explanation of ecological and socioeconomic functions"],["dc.relation.issn","1364-8152"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","On the site-level suitability of biomass models"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

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[["dc.bibliographiccitation.journal","Neural Computing and Applications"],["dc.contributor.author","Freudenberg, Maximilian"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Nölke, Nils"],["dc.date.accessioned","2022-09-01T09:49:17Z"],["dc.date.available","2022-09-01T09:49:17Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract\n \n We present a deep learning-based framework for individual tree crown delineation in aerial and satellite images. This is an important task, e.g., for forest yield or carbon stock estimation. In contrast to earlier work, the presented method creates irregular polygons instead of bounding boxes and also provides a tree cover mask for areas that are not separable. Furthermore, it is trainable with low amounts of training data and does not need 3D height information from, e.g., laser sensors. We tested the approach in two scenarios: (1) with 30 cm WorldView-3 satellite imagery from an urban region in Bengaluru, India, and (2) with 5 cm aerial imagery of a densely forested area near Gartow, Germany. The intersection over union between the reference and predicted tree cover mask is 71.2% for the satellite imagery and 81.9% for the aerial images. On the polygon level, the method reaches an accuracy of 46.3% and a recall of 63.7% in the satellite images and an accuracy of 52% and recall of 66.2% in the aerial images, which is comparable to previous works that only predicted bounding boxes. Depending on the image resolution, limitations to separate individual tree crowns occur in situations where trees are hardly separable even for human image interpreters (e.g., homogeneous canopies, very small trees). The results indicate that the presented approach can efficiently delineate individual tree crowns in high-resolution optical images. Given the high availability of such imagery, the framework provides a powerful tool for tree monitoring. The source code and pretrained weights are publicly available at\n https://github.com/AWF-GAUG/TreeCrownDelineation\n ."],["dc.description.sponsorship"," Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659"],["dc.description.sponsorship"," Bundesministerium fur Verkehr und Digitale Infrastruktur http://dx.doi.org/10.13039/100008383"],["dc.description.sponsorship"," Georg-August-Universität Göttingen 501100003385"],["dc.identifier.doi","10.1007/s00521-022-07640-4"],["dc.identifier.pii","7640"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113385"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.eissn","1433-3058"],["dc.relation.issn","0941-0643"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Individual tree crown delineation in high-resolution remote sensing images based on U-Net"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","24"],["dc.bibliographiccitation.issue","14"],["dc.bibliographiccitation.journal","AFZ, der Wald"],["dc.bibliographiccitation.lastpage","26"],["dc.bibliographiccitation.volume","75"],["dc.contributor.author","Fuchs, H."],["dc.contributor.author","Baaske, J."],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Spors, H.-J."],["dc.contributor.author","Kleinn, C."],["dc.date.accessioned","2020-11-09T13:16:00Z"],["dc.date.available","2020-11-09T13:16:00Z"],["dc.date.issued","2020"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68624"],["dc.title","Drohnengestützte Flächenermittlung von Wildscheinumbruch"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","61"],["dc.bibliographiccitation.lastpage","69"],["dc.contributor.author","Pérez-Cruzado, C."],["dc.contributor.author","Sarodjy, Y."],["dc.contributor.author","Melati, D"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Fehrmann, L."],["dc.contributor.author","Nengah Surati Jaja, I."],["dc.contributor.author","Kleinn, C."],["dc.date.accessioned","2020-11-09T13:15:16Z"],["dc.date.available","2020-11-09T13:15:16Z"],["dc.date.issued","2015"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68614"],["dc.relation.conference","5th international DAAD Workshop"],["dc.relation.eventend","2015-09-13"],["dc.relation.eventlocation","Durban and Pietermaritzburg"],["dc.relation.eventstart","2015-09-06"],["dc.relation.ispartof","Bridging the gap between information needs and forest inventory capacity. Proceedings"],["dc.title","Stand-level biomass models and their use in Fforest monitoring: an example for peat swamp forests in Indonesia"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Fuchs, H."],["dc.contributor.author","Fricke, U."],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Padberg, D."],["dc.contributor.author","Siewert, M."],["dc.contributor.author","Böttcher, K."],["dc.date.accessioned","2020-11-09T13:15:56Z"],["dc.date.available","2020-11-09T13:15:56Z"],["dc.date.issued","2005"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68623"],["dc.notes.preprint","yes"],["dc.relation.eventend","2005-09-23"],["dc.relation.eventlocation","Rostock"],["dc.relation.eventstart","2005-09-21"],["dc.relation.iserratumof","yes"],["dc.title","Untersuchungen zur Eignung der digitalen Luftbildkamera VEXEL UltraCamD für forstliche und landschaftsökologische Anwendungen"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]