Raab, Christoph

[["dc.bibliographiccitation.firstpage","913"],["dc.bibliographiccitation.seriesnr","23"],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Hüppe, C."],["dc.contributor.author","Kunze, N."],["dc.contributor.author","Noll, C."],["dc.contributor.author","Raab, C."],["dc.contributor.author","Isselstein, J."],["dc.contributor.editor","Horan, B."],["dc.contributor.editor","Hennessy, D."],["dc.contributor.editor","O’Donovan, M."],["dc.contributor.editor","Kennedy, E."],["dc.contributor.editor","McCarthy, B."],["dc.contributor.editor","Finn, J. A."],["dc.contributor.editor","O’Brien, B."],["dc.date.accessioned","2018-12-03T13:43:34Z"],["dc.date.available","2018-12-03T13:43:34Z"],["dc.date.issued","2018"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57017"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","EGF"],["dc.publisher.place","Ireland"],["dc.relation.conference","27th General Meeting of the European Grassland Federation"],["dc.relation.crisseries","Grassland Science in Europe"],["dc.relation.eventend","2018-06-21"],["dc.relation.eventlocation","Cork, Ireland"],["dc.relation.eventstart","2018-06-17"],["dc.relation.isbn","978-1-84170-643-6"],["dc.relation.isbn","978-1-84170-644-3"],["dc.relation.ispartof","Sustainable meat and milk production from grasslands"],["dc.relation.ispartofseries","Grassland Science in Europe;23"],["dc.title","Nutrient transfer by cattle through different spatial patterns of grazing and non-grazing behaviour"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","901"],["dc.bibliographiccitation.lastpage","903"],["dc.bibliographiccitation.seriesnr","23"],["dc.contributor.author","Raab, C."],["dc.contributor.author","Riesch, F."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Balkenhol, N."],["dc.contributor.author","Isselstein, J."],["dc.contributor.editor","Horan, B."],["dc.contributor.editor","Hennessy, D."],["dc.contributor.editor","O’Donovan, M."],["dc.contributor.editor","Kennedy, E."],["dc.contributor.editor","McCarthy, B."],["dc.contributor.editor","Finn, J. A."],["dc.contributor.editor","O’Brien, B."],["dc.date.accessioned","2018-12-03T13:06:43Z"],["dc.date.available","2018-12-03T13:06:43Z"],["dc.date.issued","2018"],["dc.description.abstract","Spatially explicit mapping of grassland forage quality is of major interest for sustainable grazing management of NATURA 2000 areas, especially if those are large or have limited accessibility. Therefore, this study is concerned with the estimation of crude protein (CP) and organic acid detergent fiber (oADF) content at regional scale using Sentinel-2 and Landsat 8 remote sensing data. Field data were collected in the Grafenwoehr military training area in Bavaria, Germany. Different combinations of predictor variables were applied using cross-validated random forest regression, linear regression with lasso penalty and linear regression with ridge penalty models. The red-edge band of Sentinel-2, centered at 705 nm, as well as the shortwave infrared bands of both sensors and related vegetation indices contributed the most to the respective models. Linear regression with lasso penalty and Sentinel-2 data performed consistently better, compared to the other models. The results (CP (10.1 - 23.1%): max R2 0.53, RMSE 1.78%; oADF (22.7 - 39.5%): max R2 0.72, RMSE 2.3%) demonstrate the potential of remote sensing as an information tool in supporting the conservation management of grassland areas with limited access."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57015"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","EGF"],["dc.publisher.place","Ireland"],["dc.relation.conference","27th General Meeting of the European Grassland Federation"],["dc.relation.crisseries","Grassland Science in Europe"],["dc.relation.eventend","2018-06-21"],["dc.relation.eventlocation","Cork, Ireland"],["dc.relation.eventstart","2018-06-17"],["dc.relation.isbn","978-1-84170-643-6"],["dc.relation.isbn","978-1-84170-644-3"],["dc.relation.ispartof","Sustainable meat and milk production from grasslands"],["dc.relation.ispartofseries","Grassland Science in Europe;23"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","Methods for spatially explicit estimation of NATURA 2000 grassland forage quality using satellites"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","253"],["dc.bibliographiccitation.lastpage","257"],["dc.bibliographiccitation.seriesnr","62"],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Hüppe, C."],["dc.contributor.author","Kunze, N."],["dc.contributor.author","Raab, C."],["dc.contributor.author","Isselstein, J."],["dc.contributor.editor","Christian-Albrechts-Universität zu Kiel, Institut für Pflanzenbau und Pflanzenzüchtung, Abteilung Grünland und Futterbau/Ökologischer Landbau"],["dc.date.accessioned","2019-06-13T11:11:29Z"],["dc.date.available","2019-06-13T11:11:29Z"],["dc.date.issued","2018"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57963"],["dc.language.iso","de"],["dc.notes.status","fcwi"],["dc.publisher","Arbeitsgemeinschaft Grünland und Futterbau der Gesellschaft für Pflanzenbauwissenschaften e. V."],["dc.relation.conference","62. Jahrestagung der AGGF"],["dc.relation.crisseries","Mitteilungen der Arbeitsgemeinschaft Grünland und Futterbau"],["dc.relation.eventend","2018-09-01"],["dc.relation.eventlocation","Kiel"],["dc.relation.eventstart","2018-08-30"],["dc.relation.isbn","978-3-00-060516-1"],["dc.relation.ispartof","Leistungen von Gras und Klee-Gras auf Acker und Grünland. Tagungsband. Vorträge und Posterbeiträge der 62. Jahrestagung der AGGF in Kiel. 30. August – 01. September 2018"],["dc.relation.ispartofseries","Mitteilungen der Arbeitsgemeinschaft Grünland und Futterbau;62"],["dc.title","Räumliche Präferenzen weidender Rinder verursachen Nährstoffumverteilung auf mehreren Maßstabsebenen"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Barrett, B."],["dc.contributor.author","Bika, K."],["dc.contributor.author","Ali, I."],["dc.contributor.author","Raab, C."],["dc.date.accessioned","2019-07-31T07:18:18Z"],["dc.date.available","2019-07-31T07:18:18Z"],["dc.date.issued","2016"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62223"],["dc.language.iso","en"],["dc.notes.preprint","yes"],["dc.relation.conference","X/TanDEM-X Science Team Meeting, German Aerospace Center (DLR)"],["dc.relation.eventend","2013-10-20"],["dc.relation.eventlocation","Oberpfaffenhofen, Germany"],["dc.relation.eventstart","2016-10-17"],["dc.relation.iserratumof","yes"],["dc.title","Grassland management and biomass retrieval in an intensive dairy farm in Ireland using TerraSAR-X Staring Spotlight mode data"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Raab, C."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Isselstein, J."],["dc.date.accessioned","2019-07-31T07:21:49Z"],["dc.date.available","2019-07-31T07:21:49Z"],["dc.date.issued","2016"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62224"],["dc.language.iso","en"],["dc.notes.preprint","yes"],["dc.relation.conference","8. Rotwildsymposium - Der Hirsch als Naturschützer"],["dc.relation.eventend","2016-07-09"],["dc.relation.eventlocation","Kurhaus Casino, Baden-Baden, Germany"],["dc.relation.eventstart","2016-07-07"],["dc.relation.iserratumof","yes"],["dc.title","Erhalt von Offenlandschaften – wildlebende Rothirsche als Landschaftpfleger – Vegetation und Fernerkundung"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Meißner, M."],["dc.contributor.author","Raab, C."],["dc.contributor.author","Richter, L."],["dc.contributor.author","Riesch, F."],["dc.date.accessioned","2019-07-31T07:25:18Z"],["dc.date.available","2019-07-31T07:25:18Z"],["dc.date.issued","2016"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62225"],["dc.language.iso","de"],["dc.relation.conference","8. Rotwildsymposium - Der Hirsch als Naturschützer"],["dc.relation.date","2016-07"],["dc.relation.eventlocation","Kurhaus Casino, Baden-Baden, Germany"],["dc.title","Erhalt von Offenlandschaften durch zielgerichtetes Flächen- und Wildtiermanagement - wildlebende Rothirsche als Landschaftspfleger"],["dc.type","lecture"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","784"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Remote Sensing Letters"],["dc.bibliographiccitation.lastpage","793"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Raab, Christoph"],["dc.contributor.author","Barrett, Brian"],["dc.contributor.author","Cawkwell, Fiona"],["dc.contributor.author","Green, Stuart"],["dc.date.accessioned","2019-07-31T06:59:55Z"],["dc.date.available","2019-07-31T06:59:55Z"],["dc.date.issued","2015"],["dc.description.abstract","Accurate atmospheric correction is an important preprocessing step for studies of multi-temporal land-cover mapping using optical satellite data. Model-based surface reflectance predictions (e.g. 6S – Second Simulation of Satellite Signal in the Solar Spectrum) are highly dependent on the adjustment of aerosol optical thickness (AOT) data. For regions with no or insufficient spatial and temporal coverage of meteorological ground measurements, Moderate Resolution Imaging Spectroradiometer (MODIS)-derived AOT data are a valuable alternative, especially with regard to the dynamics of atmospheric conditions. In this study, atmospheric correction strategies were assessed based on the change in standard deviation (σ) compared to the raw data and also by machine learning land-cover classification accuracies. For three Landsat 8 OLI (acquired in 2013) and two RapidEye (acquired in 2010 and 2014) scenes, seven different correction strategies were tested over an agricultural area in southeast Ireland. Visibility calculated from daily spatial averaged TERRA-MODIS estimates (1° × 1° Aerosol Product) served as input for the atmospheric correction. In almost all cases the standard deviation of the raw data is reduced after incorporation of terrain correction, compared to the atmospheric-corrected data. ATCOR®-IDL-based correction decreases the standard deviation almost consistently (ranging from −0.3 to −26.7). The 6S implementation in GRASS GIS showed a tendency of increasing the variation in the data, especially for the RapidEye data. No major differences in overall accuracies (OAs) and kappa values were observed between the three machine learning classification approaches. The results indicate that the ATCOR®-IDL-based correction and MODIS parameterization methods are able to decrease the standard deviation and are therefore an appropriate approach to approximate the top-of-canopy reflectance."],["dc.identifier.doi","10.1080/2150704X.2015.1076950"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62221"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","2150-704X"],["dc.relation.issn","2150-7058"],["dc.title","Evaluation of multi-temporal and multi-sensor atmospheric correction strategies for land-cover accounting and monitoring in Ireland"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","5638"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","International Journal of Remote Sensing"],["dc.bibliographiccitation.lastpage","5659"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Raab, Christoph"],["dc.contributor.author","Stroh, H. G."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Rohwer, N."],["dc.contributor.author","Balkenhol, N."],["dc.contributor.author","Isselstein, J."],["dc.date.accessioned","2018-11-29T14:13:08Z"],["dc.date.available","2018-11-29T14:13:08Z"],["dc.date.issued","2018"],["dc.description.abstract","Mapping semi-natural grassland has become increasingly important with regard to climate variability, invasive species, and the intensification of land use. At the same time, adequate field data collection is of pivotal importance for national and international reporting obligations, such as the European Habitats Directive. We present a remote-sensing-based monitoring framework for a Natura 2000 site with a heterogeneous composition of different grassland communities, using the Random Forest algorithm. Automated training data selection was successfully implemented based on the Random Forest proximity measure (Overall Accuracy ranging from 77.5–86.5%). RapidEye acquisitions originating from the onset of vegetation (prespring and first spring) and senescence (late summer and first autumn) were identified as important phenological phases for mapping semi-natural grassland communities. The derived probability maps of occurrences for each grassland class captured transitions between grassland communities and are therefore a better approximation of real-world conditions compared to classical, discrete maps."],["dc.identifier.doi","10.1080/01431161.2018.1504344"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57003"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Raab, C."],["dc.contributor.author","Stroh, H.-G."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Rohwer, N."],["dc.contributor.author","Balkenhol, N."],["dc.contributor.author","Isselstein, J."],["dc.date.accessioned","2019-07-31T07:13:33Z"],["dc.date.available","2019-07-31T07:13:33Z"],["dc.date.issued","2018"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62222"],["dc.language.iso","en"],["dc.notes.preprint","yes"],["dc.relation.conference","10th International Conference on Ecological Informatics"],["dc.relation.eventend","2018-09-28"],["dc.relation.eventlocation","Jena"],["dc.relation.eventstart","2018-09-24"],["dc.relation.iserratumof","yes"],["dc.title","Using multi-temporal RapidEye remote sensing data to map semi-natural grassland communities"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","99"],["dc.bibliographiccitation.journal","Basic and Applied Ecology"],["dc.bibliographiccitation.lastpage","109"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Richter, Laura"],["dc.contributor.author","Balkenhol, Niko"],["dc.contributor.author","Raab, Christoph"],["dc.contributor.author","Reinecke, Horst"],["dc.contributor.author","Meißner, Marcus"],["dc.contributor.author","Herzog, Sven"],["dc.contributor.author","Isselstein, Johannes"],["dc.contributor.author","Signer, Johannes"],["dc.date.accessioned","2020-12-10T14:22:33Z"],["dc.date.available","2020-12-10T14:22:33Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.baae.2020.02.002"],["dc.identifier.issn","1439-1791"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71647"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","So close and yet so different: The importance of considering temporal dynamics to understand habitat selection"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"],["local.message.claim","2021-10-06T08:18:57.112+0000|||rp114797|||submit_approve|||dc_contributor_author|||None"]]