Nölke, Nils

[["dc.bibliographiccitation.firstpage","126464"],["dc.bibliographiccitation.journal","Urban forestry & urban greening"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Jha, Rajeev Kumar"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Diwakara, B.N."],["dc.contributor.author","Tewari, V.P."],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2020-12-10T15:21:39Z"],["dc.date.available","2020-12-10T15:21:39Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.ufug.2019.126464"],["dc.identifier.issn","1618-8667"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73105"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Differences in tree species diversity along the rural-urban gradient in Bengaluru, India"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1841"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Zhu, Zihui"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Nölke, Nils"],["dc.date.accessioned","2021-04-14T08:25:01Z"],["dc.date.available","2021-04-14T08:25:01Z"],["dc.date.issued","2020"],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft"],["dc.identifier.doi","10.3390/rs12111841"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17473"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81499"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Towards Tree Green Crown Volume: A Methodological Approach Using Terrestrial Laser Scanning"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","385"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Environmental and Ecological Statistics"],["dc.bibliographiccitation.lastpage","398"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Vonrüti, Manuel"],["dc.contributor.author","Spasojevic, Aleksandar"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Kneib, Thomas"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2018-03-13T15:07:39Z"],["dc.date.available","2018-03-13T15:07:39Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1007/s10651-017-0375-1"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13025"],["dc.notes.status","zu prüfen"],["dc.title","Comparing canopy leaf temperature of three Central European tree species based on simultaneous confidence bands for penalized splines"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1041"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Magnussen, Steen"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Nölke, Nils"],["dc.date.accessioned","2021-04-14T08:27:52Z"],["dc.date.available","2021-04-14T08:27:52Z"],["dc.date.issued","2021"],["dc.description.sponsorship","Forest Research Institute of the German Federal State of Rheinland-Pfalz (FAWF) in Trippstadt"],["dc.identifier.doi","10.3390/rs13051041"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82431"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","The Horizontal Distribution of Branch Biomass in European Beech: A Model Based on Measurements and TLS Based Proxies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","18"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Forestry (Oxford)"],["dc.bibliographiccitation.lastpage","35"],["dc.bibliographiccitation.volume","94"],["dc.contributor.author","Zhu, Zihui"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Nölke, Nils"],["dc.date.accessioned","2021-04-14T08:30:10Z"],["dc.date.available","2021-04-14T08:30:10Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1093/forestry/cpaa037"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83129"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1464-3626"],["dc.relation.issn","0015-752X"],["dc.title","Assessing tree crown volume—a review"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["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","419"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Forestry Research"],["dc.bibliographiccitation.lastpage","425"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","García, Juan Carlos Camargo"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Polle, Andrea"],["dc.date.accessioned","2017-09-07T11:47:12Z"],["dc.date.available","2017-09-07T11:47:12Z"],["dc.date.issued","2016"],["dc.description.abstract","We used thermal images of bamboo culms of Guadua angustifolia Kunth to analyze the relationship between culm surface temperature and maturity, driven by the hypothesis that young culms may exhibit lower surface temperatures than old ones. The culm surface temperature shows small but constant differences between three age classes of 1, 2, and 3 years. Our findings indicate that surface temperature may be applied as an additional indicator to support the determination of maturity of guadua culms besides the visual assessment of the culms."],["dc.identifier.doi","10.1007/s11676-015-0152-7"],["dc.identifier.fs","622631"],["dc.identifier.gro","3149280"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5939"],["dc.language.iso","en"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1007-662X"],["dc.title","Changes in culm surface temperature with maturity of the bamboo species Guadua angustifolia"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","574"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","iForest - Biogeosciences and Forestry"],["dc.bibliographiccitation.lastpage","581"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Jaya, I. Nengah Surati"],["dc.contributor.author","Tiryana, Tatang"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:03Z"],["dc.date.available","2017-09-07T11:47:03Z"],["dc.date.issued","2015"],["dc.description.abstract","In many old-growth natural and close-to-natural forest types, notably in humid tropical forests, a relatively small number of very tall trees contribute considerably to stand basal area and biomass. Such trees often show distinct buttress roots with irregular non-convex shapes. Buttresses are complex structures in the lowest stem section, where most tree biomass is located. The methods used to assess the diameter of buttressed trees have a large impact on the determination of volume and biomass, as well as on the resulting estimates of the aboveground carbon stock in tropical forests. As the measurement of diameter at breast height (DBH at 1.3 m) is not feasible in such conditions, the diameter above buttress (DAB), where the cylindrical bole of the tree begins, is usually measured and included as an independent variable in biomass models. We conducted a methodological study aimed at determining the volume and biomass of individual buttressed trees belonging to several tropical species by the application of terrestrial laser scanning (TLS). The geometry and allometry of the buttresses, as well as the change with height along the stem in buttress volume and cross-sectional area were analyzed. Our results suggest that the relationship between cross-sectional areas at DAB height (ADAB) and the actual tree basal area measured at 1.3 m height is relatively strong (R² = 0.87) across a range of different species, buttress morphologies and tree dimensions. Furthermore, the change in stem cross-sectional area with tree height was surprisingly similar and smooth. Despite the small number of trees sampled, the methodological approach used in this study provided new insights on the very irregular geometry of buttressed trees. Our results may help improving the volume and biomass models for buttressed trees, that are crucial contributors to carbon stocks in tropical forests."],["dc.identifier.doi","10.3832/ifor1449-007"],["dc.identifier.gro","3149246"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5902"],["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","1971-7458"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","On the geometry and allometry of big-buttressed trees - a challenge for forest monitoring: new insights from 3D-modeling with terrestrial laser scanning"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Forest Ecosystems"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Magnussen, Steen"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.date.accessioned","2021-04-14T08:31:18Z"],["dc.date.available","2021-04-14T08:31:18Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s40663-020-00268-7"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17621"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83552"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2197-5620"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Improving precision of field inventory estimation of aboveground biomass through an alternative view on plot biomass"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","iForest - Biogeosciences and Forestry"],["dc.bibliographiccitation.lastpage","5"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Beckschäfer, Philip"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:05Z"],["dc.date.available","2017-09-07T11:47:05Z"],["dc.date.issued","2014"],["dc.identifier.doi","10.3832/ifor1129-007"],["dc.identifier.gro","3149254"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5911"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.publisher","Italian Society of Sivilculture and Forest Ecology (SISEF)"],["dc.relation.issn","1971-7458"],["dc.title","Thermal canopy photography in forestry - an alternative to optical cover photography"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]