Erasmi, Stefan

[["dc.bibliographiccitation.journal","Methods in Ecology and Evolution"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Wenzel, Arne"],["dc.contributor.author","Camarretta, Nicolò"],["dc.contributor.author","Stiegler, Christian"],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2022-08-11T13:26:17Z"],["dc.date.available","2022-08-11T13:26:17Z"],["dc.date.issued","2022"],["dc.description.abstract","Vegetation canopy height is a relevant proxy for aboveground biomass, carbon stock, and biodiversity. Wall-to-wall information of canopy height with high spatial resolution and accuracy is not yet available on large scales. For the globally consistent TanDEM-X data, simplifications are necessary to estimate canopy height with semi-empirical models based on polarimetric synthetic aperture radar interferometry (PolInSAR).\r\nWe trained the semi-empirical models with sampled GEDI data, because the assumptions behind the application of such simplifications are not always valid for TanDEM-X. General linear as well as sinc models and empirical parameterizations of these models were applied to estimate the canopy height in tropical landscapes of Sumatra, Indonesia. Airborne laser scanning (ALS) data were consistently used as an independent reference. The general simplified models were compared with the trained empirical versions to assess the potential improvement of the empirical parameterization of the models. The residuals of the different canopy height models were further evaluated in relation to land use and structural information of the vegetation.\r\nOur results indicated that the empirical parameters substantially improved the estimation from a root-mean-square-error (RMSE) of 10.3 m (55.8%) to 8.8 m (47.7%), when using the linear model. In contrast, the improvement of the sinc model with empirical parameters was not substantial compared to the general sinc model (7.4 m [40.4%] vs. 6.9 m [37.5%]). A consistent improvement was observed in the linear model, whereas the improvement of the sinc model was dependent on the land-use type. Structural attributes like the canopy height itself and vegetation cover had a significant effect on the accuracies, with higher and denser vegetation generally resulting in higher residuals.\r\nWe demonstrate the potential of the combined exploitation of the TanDEM-X and GEDI missions for a wall-to-wall canopy height estimation in a tropical region. This study provides relevant findings for a consistent mapping of vegetation canopy height in tropical landscapes and on large scales with spaceborne laser and SAR data."],["dc.identifier.doi","10.1111/2041-210X.13933"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112713"],["dc.language.iso","en"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | A | A03: Untersuchung von Land-Atmosphäre Austauschprozesse in Landnutzungsänderungs-Systemen"],["dc.relation","SFB 990 | B | B09: Oberirdische Biodiversitätsmuster und Prozesse in Regenwaldtransformations-Landschaften"],["dc.relation","SFB 990 | Z | Z02: Central Scientific Support Unit"],["dc.relation","SFB 990 | IKEBANA: Interferometrische Kartierung von Waldstrukturveränderungen als Basisinformation für nachhaltige Produktion und Handel von Agrarrohstoffen (IKEBANA, associated)"],["dc.relation.issn","2041-210X"],["dc.relation.issn","2041-210X"],["dc.rights","CC BY-NC-ND 4.0"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S0378112721005879"],["dc.bibliographiccitation.firstpage","119497"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.volume","497"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Kotowska, Martyna M."],["dc.contributor.author","Brambach, Fabian"],["dc.contributor.author","Hein, Jonas"],["dc.contributor.author","Wessel, Birgit"],["dc.contributor.author","Camarrretta, Nicolò"],["dc.contributor.author","Silalahi, Mangarah"],["dc.contributor.author","Surati Jaya, I Nengah"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Leuschner, Christoph"],["dc.contributor.author","Kreft, Holger"],["dc.date.accessioned","2022-01-12T08:11:11Z"],["dc.date.available","2022-01-12T08:11:11Z"],["dc.date.issued","2021-10-01"],["dc.description.abstract","The area-wide estimation of aboveground biomass (AGB) and its changes as a proxy for the sequestration and emission of carbon are currently associated with high uncertainties. Here we combined interferometric synthetic aperture radar (InSAR) height models derived from TanDEM-X with repeated ground-based inventories from the years 2012 and 2019 to estimate InSAR height and AGB changes in a structurally diverse and dynamic landscape in Sumatra, Indonesia. The results suggested that the InSAR height models were highly accurate and the relationship between InSAR height and AGB change resulted in a coefficient of determination R2 of 0.65 and a cross-validated root mean square error (RMSE) of 2.38 Mg ha⁻¹ year⁻¹, equivalent to 13.32% of the actual AGB difference range. The estimated AGB changes with TanDEM-X were further related to the initial canopy height and fire activities in the study area. Initial canopy heights and the occurrences of fires had a significant effect on the AGB change. In general, low canopy heights tend to be associated with increasing AGB over time, whereas high canopy heights tend to be associated with stable or decreasing AGB. As expected, fires had a negative impact on the AGB changes being more pronounced in forest areas compared to oil palm concessions. The results of this study are relevant for the utilization of spaceborne InSAR height models and its potential to estimate canopy height and AGB change on large spatial scales. It was demonstrated that these changes can be related to their sources and ecosystem processes. This AGB change estimation technique can be used to model the impacts of fires on AGB change and carbon emissions, which are important for sustainable forest management."],["dc.identifier.doi","10.1016/j.foreco.2021.119497"],["dc.identifier.pii","S0378112721005879"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97982"],["dc.identifier.url","https://publications.goettingen-research-online.de/handle/2/89086"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | B | B04: Pflanzenproduktivität und Ressourcenaufteilung im Wurzelraum entlang von Gradienten tropischer Landnutzungsintensität und Baumartenvielfalt"],["dc.relation","SFB 990 | B | B06: Taxonomische, funktionelle, phylogenetische und biogeographische Diversität vaskulärer Pflanzen in Regenwald-Transformationssystemen auf Sumatra (Indonesien)"],["dc.relation","SFB 990 | C | C02: Soziale Transformationsprozesse und nachhaltige Ressourcennutzung im ländlichen Jambi"],["dc.relation","SFB 990 | Z | Z02: Central Scientific Support Unit"],["dc.relation.issn","0378-1127"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","CC BY 4.0"],["dc.subject.gro","Aboveground biomass change"],["dc.subject.gro","Height models"],["dc.subject.gro","Interferometric synthetic aperture rardar (InSAR) data"],["dc.subject.gro","TanDEM-X"],["dc.subject.gro","Tropical rainforest"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Spaceborne height models reveal above ground biomass changes in tropical landscapes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]