Schlund, Michael

[["dc.bibliographiccitation.firstpage","3947"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","3964"],["dc.bibliographiccitation.volume","26"],["dc.contributor.author","Wedeux, Béatrice"],["dc.contributor.author","Dalponte, Michele"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Hagen, Stephen"],["dc.contributor.author","Cochrane, Mark"],["dc.contributor.author","Graham, Laura"],["dc.contributor.author","Usup, Aswin"],["dc.contributor.author","Thomas, Andri"],["dc.contributor.author","Coomes, David"],["dc.date.accessioned","2021-04-14T08:26:36Z"],["dc.date.available","2021-04-14T08:26:36Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1111/gcb.15108"],["dc.identifier.eissn","1365-2486"],["dc.identifier.issn","1354-1013"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82009"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1365-2486"],["dc.relation.issn","1354-1013"],["dc.title","Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","2966"],["dc.bibliographiccitation.issue","24"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Semmler, Malte"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Schlund, Michael"],["dc.date.accessioned","2020-05-11T13:15:09Z"],["dc.date.available","2020-05-11T13:15:09Z"],["dc.date.issued","2019"],["dc.description.abstract","Synthetic aperture radar (SAR) satellite data provide a valuable means for the large-scale and long-term monitoring of structural components of forest stands. The potential of TanDEM-X interferometric SAR (InSAR) for the assessment of forest structural properties has been widely verified. However, present studies are mostly restricted to homogeneous forests and do not account for stratification in assessing model performance. A systematic sensitivity analysis of the TanDEM-X SAR signal to forest structural parameters was carried out with emphasis on different strata of forest stands (location of the study site, forest type, and development stage). Forest structure was parameterized by forest height metrics and stem volume. Results show that X-band volume coherence is highly sensitive to the forest canopy. Volume scattering within the canopy is dependent on the vertical heterogeneity of the forest stand. In general, TanDEM-X coherence is more sensitive to forest vertical structure compared to backscatter. The relations between TanDEM-X volume coherence and forest structural properties were significant at the level of a single test site as well as across sites in temperate forests in Germany. Forest type does not affect the overall relationship between the SAR signal and the forests’ vertical structure. The prediction of forest structural parameters based on the outcome of the sensitivity analysis yielded model accuracies between 15% (relative root mean square error) for Lorey’s height and 32% for stem volume. The global database of single-polarized bistatic TanDEM-X data provides an important"],["dc.identifier.doi","10.3390/rs11242966"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16975"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65006"],["dc.identifier.url","https://www.mdpi.com/2072-4292/11/24/2966"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["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","Sensitivity of Bistatic TanDEM-X Data to Stand Structural Parameters in Temperate Forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","111814"],["dc.bibliographiccitation.journal","Remote Sensing of Environment"],["dc.bibliographiccitation.volume","246"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2020-05-11T13:20:54Z"],["dc.date.available","2020-05-11T13:20:54Z"],["dc.date.issued","2020"],["dc.description.abstract","The potential of time series metrics based on optical sensors for monitoring of crops and their phenological stages has long been recognized. SAR (synthetic aperture radar) sensors such as Sentinel-1 can provide dense time series, but their potential for retrieving time series metrics is to date underexplored. The backscatter coefficient in VH (vertical-horizontal) and VV (vertical-vertical) polarization as well as the interferometric coherence of Sentinel-1 was retrieved in a German agricultural area in order to obtain a time series with a temporal resolution of 6 days. The backscatter coefficient ratio of VH and VV polarization was also calculated. Local extrema and breakpoints were detected in the locally smoothed time series data in wheat fields for the years 2017, 2018 and 2019. Breakpoints in the VH/VV ratio time series have high potential for detecting the date of shooting and harvesting of the studied wheat fields. The root mean squared differences between detected date and in situ observed date were 4.6 days in 2017, 5.3 days in 2018 and 9.5 days in 2019 for the shooting and 5.1 days in 2017, 8.2 days in 2018 and 10.4 days in 2019 for the harvest. Ripeness stages could not be detected with a high degree of accuracy. The results suggest that the VH/VV ratio has a high potential for monitoring the phenological stages of wheat fields, which can be used for large-scale crop productivity monitoring and risk assessment in agricultural cropping systems."],["dc.identifier.doi","10.1016/j.rse.2020.111814"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65034"],["dc.language.iso","en"],["dc.relation.issn","0034-4257"],["dc.title","Sentinel-1 time series data for monitoring the phenology of winter wheat"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","1151"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Davidson, Malcolm"],["dc.date.accessioned","2019-07-09T11:45:43Z"],["dc.date.available","2019-07-09T11:45:43Z"],["dc.date.issued","2018"],["dc.description.abstract","While considerable research has focused on using either L-band or P-band SAR (Synthetic Aperture Radar) on their own for forest biomass retrieval, the use of the two bands simultaneously to improve forest biomass retrieval remains less explored. In this paper, we make use of L- and P-band airborne SAR and in situ data measured in the field together with laser scanning data acquired over one hemi-boreal (Remningstorp) and one boreal (Krycklan) forest study area in Sweden. We fit statistical models to different combinations of topographic-corrected SAR backscatter and forest heights estimated from PolInSAR for the biomass estimation, and evaluate retrieval performance in terms of R2 and using 10-fold cross-validation. The study shows that specific combinations of radar observables from L- and P-band lead to biomass predictions that are more accurate in comparison with single-band retrievals. The correlations and accuracies between the combinations of SAR features and aboveground biomass are consistent across the two study areas, whereas the retrieval performance varied for individual bands. P-band-based retrievals were more accurate than L-band for the hemi-boreal Remningstorp site and less accurate than L-band for the boreal Krycklan site. The aboveground biomass levels as well as the ground topography differ between the two sites. The results suggest that P-band is more sensitive to higher biomass and L-band to lower biomass forests. The forest height from PolInSAR improved the results at L-band in the higher biomass substantially, whereas no improvement was observed at P-band in both study areas. These results are relevant in the context of combining information over boreal forests from future low-frequency SAR missions such as the European Space Agency (ESA) BIOMASS mission, which will operate at P-band, and future L-band missions planned by several space agencies."],["dc.identifier.doi","10.3390/rs10071151"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15297"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59297"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["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.subject.ddc","550"],["dc.title","Aboveground Forest Biomass Estimation Combining L- and P-Band SAR Acquisitions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["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.firstpage","367"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","IEEE Geoscience and Remote Sensing Letters"],["dc.bibliographiccitation.lastpage","371"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Scipal, Klaus"],["dc.date.accessioned","2020-12-10T18:26:15Z"],["dc.date.available","2020-12-10T18:26:15Z"],["dc.date.issued","2020"],["dc.description.abstract","The potential of interferometric synthetic aperture radar (InSAR) heights from TanDEM-X for vegetation canopy height and aboveground biomass (AGB) estimation has long been recognized. Penetration of X-band into the canopy affects these estimations. Thus, the canopy height and AGB retrieval from InSAR are typically biased and cannot be compared directly to estimates from other data sources. The objective of this letter was to apply a penetration depth model to compensate for height biases in TanDEM-X InSAR heights. The resulting canopy height estimates are subsequently converted to AGB estimates using regression models. The uncorrected InSAR heights of the forest canopy are biased due to the penetration of the signal into the canopy and differ substantially to light detection and ranging (LiDAR) canopy height estimates. The application of the penetration depth compensation results in unbiased forest canopy height estimates and AGB regression models that are comparable between InSAR and LiDAR. These results indicate that TanDEM-X InSAR and LiDAR technologies can be used to estimate AGB in complex tropical forests suggesting a synergistic use of these fundamentally different observation concepts."],["dc.identifier.doi","10.1109/LGRS.2019.2925901"],["dc.identifier.eissn","1558-0571"],["dc.identifier.issn","1545-598X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76009"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.eissn","1558-0571"],["dc.relation.issn","1545-598X"],["dc.title","Comparison of Aboveground Biomass Estimation From InSAR and LiDAR Canopy Height Models in Tropical Forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","232"],["dc.bibliographiccitation.journal","ISPRS Journal of Photogrammetry and Remote Sensing"],["dc.bibliographiccitation.lastpage","241"],["dc.bibliographiccitation.volume","147"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Baron, Daniel"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2018-12-18T11:04:32Z"],["dc.date.accessioned","2020-05-11T13:15:46Z"],["dc.date.available","2018-12-18T11:04:32Z"],["dc.date.available","2020-05-11T13:15:46Z"],["dc.date.issued","2019"],["dc.description.abstract","The potential of X-band interferometric synthetic aperture radar (InSAR) heights (e.g. from the TanDEM-X mission) for vegetation canopy height estimation has long been recognized. However, the penetration of the X-band into the canopy results in a height bias and substantially affects this estimation. The aim of the study was to apply a physical model to compensate the penetration depth (i.e. height bias) in canopy height estimation and evaluate its performance. We applied a penetration depth model on different TanDEM-X data in three German forests. This model is based on the volume coherence and imaging geometry of the InSAR acquisitions. We extracted the volume coherence from the TanDEM-X data and retrieved the height bias based on the penetration depth compared to actual surface heights. The modeled height bias was used to compensate the height bias in InSAR heights. The corrected TanDEM-X heights were evaluated with LiDAR data. In general, the penetration depth compensation in the InSAR heights improved the performance compared to the original InSAR heights resulting in elevations with a lower root mean squared error and the mean error decreased to less than 1m with the LiDAR heights used as reference. This suggested that the height bias was accurately modeled for temperate forests, which can be of high relevance when InSAR heights are used for canopy height estimation or used in multi-temporal analysis such as forest growth, degradation and deforestation monitoring."],["dc.identifier.doi","10.1016/j.isprsjprs.2018.11.021"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65010"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","0924-2716"],["dc.title","Canopy penetration depth estimation with TanDEM-X and its compensation in temperate forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","101904"],["dc.bibliographiccitation.journal","International Journal of Applied Earth Observation and Geoinformation"],["dc.bibliographiccitation.volume","82"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Eaton, Brian"],["dc.contributor.author","Aumann, Craig"],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2020-05-12T08:30:55Z"],["dc.date.available","2020-05-12T08:30:55Z"],["dc.date.issued","2019"],["dc.description.abstract","Various semi-empirical models for linking PolInSAR data (polarimetric synthetic aperture radar interferometry) to canopy height of vegetation exist. However, only single-polarized data were used during the TanDEM-X mission in order to create a global digital elevation model (DEM). Therefore, simplifications of the semi-empirical models have to be applied to use the PolInSAR models for canopy height estimation with single-polarized TanDEM-X data. We extracted the volume coherence from TanDEM-X acquisitions and used a linear as well as a sinc model for the estimation of canopy height, which are based on the semi-empirical Random Volume over Ground model (RVoG). Both, the linear as well as the sinc model, were applied in temperate forests of Germany and boreal forests of Canada. The estimated canopy height was validated with LiDAR based canopy height models. In general, the sinc model resulted in higher coefficients of determination R2 from 0.08 to 0.64 and lower root mean squared errors (RMSE) between 4.8 m and 12.5 m compared to the linear model with R2 values between 0.08 and 0.62 (RMSE = 5.4 m to 13.5 m). Higher accuracies were generally achieved in winter and with higher height of ambiguity."],["dc.identifier.doi","10.1016/j.jag.2019.101904"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65130"],["dc.language.iso","en"],["dc.relation.issn","0303-2434"],["dc.title","Canopy height estimation with TanDEM-X in temperate and boreal forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3538"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],["dc.bibliographiccitation.lastpage","3547"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Schlund, Michael"],["dc.contributor.author","Scipal, Klaus"],["dc.contributor.author","Quegan, Shaun"],["dc.date.accessioned","2020-12-10T18:26:15Z"],["dc.date.available","2020-12-10T18:26:15Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1109/JSTARS.2018.2866868"],["dc.identifier.eissn","2151-1535"],["dc.identifier.issn","1939-1404"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76008"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Assessment of a Power Law Relationship Between P-Band SAR Backscatter and Aboveground Biomass and Its Implications for BIOMASS Mission Performance"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["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"]]