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    Blickensdörfer L, Oehmichen K, Pflugmacher D, Kleinschmit B, Hostert P (2022) Dominant tree species for Germany (2017/2018) [Datenpublikation] [online]. Version 1.0, 1 Rasterdatei (tif). Eberswalde: Thünen-Institut für Waldökosysteme, zu finden in <https://www.openagrar.de/receive/openagrar_mods_00084346> [zitiert am 05.01.2023], DOI:10.3220/DATA20221214084846

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    Schaber M, Gastauer S, Cisewski B, Hielscher NN, Janke M, Pena M, Sakinan S, Thorburn J (2022) Extensive oceanic mesopelagic habitat use of a migratory continental shark species. Sci Rep 12:2047, DOI:10.1038/s41598-022-05989-z


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    Schwieder M, Wesemeyer M, Frantz D, Pfoch K, Erasmi S, Pickert J, Nendel C, Hostert P (2022) Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. Remote Sens Environ 269:112795, DOI:10.1016/j.rse.2021.112795


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    Blickensdörfer L, Schwieder M, Pflugmacher D, Nendel C, Erasmi S, Hostert P (2022) Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sens Environ 269:112831, DOI:10.1016/j.rse.2021.112831


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    Weber R, Lippe M, Günter S (2022) Mapping tropical forests: implications and challenges for deforested landscapes and forest restoration. Examples from Zambia, Ecuador and Philippines : [paper for] XV World Forestry Congress, Coex, Soul, Republic of Korea, 2-6 May 2022. 9 p

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    Lobert F, Röder N, Gocht A, Schwieder M, Erasmi S (2022) Mowing detection from combined Sentinel-1, Sentinel-2, and Landsat 8 time series on fallow cropland with transfer learning. Publ Dt Gesellsch Photogrammetrie Fernerkundung Geoinf 30:117-126

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    Ferrer Velasco R, Lippe M, Tamayo F, Mfuni T, Sales-Come R, Mangabat C, Schneider T, Günter S (2022) Towards accurate mapping of forest in tropical landscapes: A comparison of datasets on how forest transition matters. Remote Sens Environ 274:112997, DOI:10.1016/j.rse.2022.112997


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    Schlund M, Wenzel A, Camarretta N, Stiegler C, Erasmi S (2022) Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM-X supported by GEDI data. Methods Ecol Evol:in Press, DOI:10.1111/2041-210X.13933


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    Lobert F, Holtgrave A-K, Schwieder M, Pause M, Gocht A, Vogt J, Erasmi S (2021) Detection of mowing events from combined Sentinel-1, Sentinel-2, and Landsat 8 time series with machine learning. Grassl Sci Europe 26:123-125

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    Tetteh G, Gocht A, Erasmi S, Schwieder M, Conrad C (2021) Evaluation of sentinel-1 and sentinel-2 feature sets for delineating agricultural fields in heterogeneous landscapes. IEEE Access 9:116702-116719, DOI:10.1109/ACCESS.2021.3105903


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    Klinge M, Dulamsuren C, Schneider F, Erasmi S, Bayarsaikhan U, Sauer D, Hauck M (2021) Geoecological parameters indicate discrepancies between potential and actual forest area in the forest-steppe of Central Mongolia. For Ecosyst 8:55, DOI:10.1186/s40663-021-00333-9


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    Schulz C, Holtgrave A-K, Kleinschmit B (2021) Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning - An alternative to on-site controls? Comput Electron Agric 186:106173, DOI:10.1016/j.compag.2021.106173

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    Erasmi S, Klinge M, Dulamsuren C, Schneider F, Hauck M (2021) Modelling the productivity of Siberian larch forests from Landsat NDVI time series in fragmented forest stands of the Mongolian forest-steppe. Environ Monit Assessm 193:200, DOI:10.1007/s10661-021-08996-1


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    Lobert F, Holtgrave A-K, Schwieder M, Pause M, Vogt J, Gocht A, Erasmi S (2021) Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series. Remote Sens Environ 267:112751, DOI:10.1016/j.rse.2021.112751


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    Schlund M, Lobert F, Erasmi S (2021) Potential of Sentinel-1 time series data for the estimation of season length in winter wheat phenology. In: Institute of Electrical and Electronics Engineers (ed) IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium : proceedings ; 12-16 July 2021, Virtual Symposium, Brussels, Belgium. IEEE, pp 5917-5920, DOI: 10.1109/IGARSS47720.2021.9554454

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    Burkhardt E, Opzeeland IC van, Cisewski B, Mattmüller R, Meister M, Schall E, Spiesecke S, Thomisch K, Zwicker S, Boebel O (2021) Seasonal and diel cycles of fin whale acoustic occurrence near Elephant Island, Antarctica. Royal Soc Open Sci 8:201142, DOI:10.1098/rsos.201142


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    Schlund M, Kotowska MM, Brambach F, Hein J, Wessel B, Camarretta N, Silalahi M, Surati Jaya IN, Erasmi S, Leuschner C, Kreft H (2021) Spaceborne height models reveal above ground biomass changes in tropical landscapes. Forest Ecol Manag 497:119497, DOI:10.1016/j.foreco.2021.119497


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    Camarretta N, Ehbrecht M, Seidel D, Wenzel A, Zuhdi M, Merk MS, Schlund M, Erasmi S, Knohl A (2021) Using airborne laser scanning to characterize land-use systems in a tropical landscape based on vegetation structural metrics. Remote Sensing 13:4794, DOI:10.3390/rs13234794


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    Taylor MH, Akimova A, Bracher A, Kempf A, Kühn B, Helaouet P (2021) Using dynamic ocean color provinces to elucidate drivers of North Sea hydrography and ecology. JGR Oceans 126(12):e2021JC017686, DOI:10.1029/2021JC017686


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    Siemon B, Ibs-von Seht M, Frank S (2020) Airborne electromagnetic and radiometric peat thickness mapping of a bog in Northwest Germany (Ahlen-Falkenberger Moor). Remote Sensing 12(2):203, DOI:10.3390/rs12020203


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    Holtgrave A-K, Röder N, Ackermann A, Erasmi S, Kleinschmit B (2020) Comparing Sentinel-1 and -2 data and indices for agricultural land use monitoring. Remote Sensing 12:2919, DOI:10.3390/rs12182919


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    Schwieder M, Buddeberg M, Kowalski K, Pfoch K, Bartsch J, Bach H, Pickert J, Hostert P (2020) Estimating grassland parameters from Sentinel-2: A model comparison study. J Photogramm Remote Sensing Geoinf Sci 88:379-390, DOI:10.1007/s41064-020-00120-1


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    Martinez B, Gilabert MA, Sanchez-Ruiz S, Campos-Taberner M, Garcia-Haro FJ, Brümmer C, Carrara A, Feig G, Grünwald T, Mammarella I, Tagesson T (2020) Evaluation of the LSA-SAF gross primary production product derived from SEVIRI/MSG data (MGPP). ISPRS J Photogramm Remote Sens 159:220-236, DOI:10.1016/j.isprsjprs.2019.11.010


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    Tetteh G, Gocht A, Conrad C (2020) Optimal parameters for delineating agricultural parcels from satellite images based on supervised Bayesian optimization. Comput Electron Agric 178:105696, DOI:10.1016/j.compag.2020.105696


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    Schlund M, Erasmi S (2020) Sentinel-1 time series data for monitoring the phenology of winter wheat. Remote Sens Environ 246:111814, DOI:10.1016/j.rse.2020.111814

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    Smith NE, Kooijmans LMJ, Koren G, Schaik E van, Woude A van der, Wanders N, Ramonet M, Xueref-Remy I, Siebicke L, Manca G, Brümmer C, Baker IT, Haynes KD, Luijkx IT, Peters W (2020) Spring enhancement and summer reduction in carbon uptake during the 2018 drought in northwestern Europe. Philos Trans Royal Soc B 375(1810):20190509, DOI:10.1098/rstb.2019.0509

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    Holtgrave A-K, Ackermann A, Röder N, Kleinschmit B (2020) Towards a dual-polarisation radar vegetation index for Sentinel-1 for grassland monitoring. Grassl Sci Europe 25:596-598

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    Tetteh G, Gocht A, Schwieder M, Erasmi S, Conrad C (2020) Unsupervised parameterization for optimal segmentation of agricultural parcels from satellite images in different agricultural landscapes. Remote Sensing 12(18):3096, DOI:10.3390/rs12183096


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    Tetteh G (2019) Establishment of a time-sensitive crop database of Germany based on multi-temporal Sentinel-1 and Sentinel-2 Data. In: Living Planet Symposium, Milan (Italy), May 13-17 2019.

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    Lüken T (2019) Improving the reliability of FREL/FRL by different remote sensing systems. Hamburg: Univ Hamburg, Fakultät für Mathematik, Informatik und Naturwissenschaften, 41 p, Hamburg, Univ, Fak f Mathematik, Informatik und Naturwissenschaften, Fachber Biologie, Masterarb, 2019

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    Ortmann A, Feilhauer H, Klimek S, Thiele J (2019) Mapping extensively used grassland types at a regional scale using multispectral remote sensing. In: 62nd Symposium of the International Association for Vegetation Science (IAVS). 14-19 July, Bremen, Germany.

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    Asmuß T, Bechtold M, Tiemeyer B (2019) On the potential of Sentinel-1 for high resolution monitoring of water table dynamics in grasslands on organic soils. Remote Sensing 11(14):1659, DOI:10.3390/rs11141659


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    Große-Stoltenberg A, Hellmann C, Thiele J, Werner C, Oldeland J (2019) Remote sensing of an N-fixing invasive shrub species: Early indicators of high impact. In: GfÖ 2019 : Science meets practice ; 49th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland ; University of Münster, 9 - 13 September 2019 ; book of abstracts. Berlin: Gesellschaft für Ökologie, p 435

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    Erasmi S, Semmler M, Schall P, Schlund M (2019) Sensitivity of bistatic TanDEM-X data to stand structural parameters in temperate forests. Remote Sensing 11(24):2966, DOI:10.3390/rs11242966


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    Castaldi F, Chabrillat S, Don A, Wesemael B van (2019) Soil organic carbon mapping using LUCAS topsoil database and sentinel-2 data: an approach to reduce soil moisture and crop residue effects. Remote Sensing 11(18):2121, DOI:10.3390/rs11182121


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    Krause S, Strer M, Mund J-P, Sanders TGM (2019) UAV remote sensing data handling: A transition from testing to long-term data acquisition for intensive forest monitoring. J Photogramm Remote Sensing Geoinf Sci 28(39):167-174

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    Krause S, Sanders TGM, Mund J-P, Greve K (2019) UAV-based photogrammetric tree height measurement for intensive forest monitoring. Remote Sensing 11(7):758, DOI:10.3390/rs11070758


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    Nguyen TT, Lippe M, Marohn C, Vien TD, Cadisch G (2019) Using farmer decision rules for mapping historical land use change patterns from 1954 to 2007 in rural northwestern Vietnam. Land 8(9):130, DOI:10.3390/land8090130


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    Schnell S, Riedel T, Oehmichen K (2018) Integration von Fernerkundungsdaten in die Auswertung der Bundeswaldinventur. In: Ammer C, Bredemeier M, Arnim G von (eds) FowiTa : Forstwissenschaftliche Tagung 2018 Göttingen ; Programm & Abstracts ; 24. bis 26. September 2018. Göttingen: Univ Göttingen, Fakultät für Forstwissenschaften und Waldökologie, p 438

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