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Ökologischer Betrieb
© BLE, Bonn/Thomas Stephan
Ökologischer Betrieb
Institut für

BW Betriebswirtschaft

Zeitschriftenbeiträge

Beiträge in referierten Zeitschriften von Marcel Schwieder

  1. 0

    Kasiske T, Dauber J, Dieker P, Harpke A, Klimek S, Kühn E, Levers C, Schwieder M, Settele J, Musche M (2024) Assessing landscape-level effects of permanent grassland management and landscape configuration on open-land butterflies based on national monitoring data. Biodiv Conserv 33(8-9):2381-3404, DOI:10.1007/s10531-024-02861-6

    https://literatur.thuenen.de/digbib_extern/dn068253.pdf

  2. 1

    Weber D, Schwieder M, Ritter L, Koch T, Psomas A, Huber N, Ginzler C, Boch S (2024) Grassland-use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications. Remote Sensing Ecol Conserv 10(3):312-327, DOI:10.1002/rse2.372

    https://literatur.thuenen.de/digbib_extern/dn067152.pdf

  3. 2

    Pham V-D, Tetteh GO, Thiel F, Erasmi S, Schwieder M, Frantz D, van der Linden S (2024) Temporally transferable crop mapping with temporal encoding and deep learning augmentations. Int J Appl Earth Observ Geoinf 129:103867, DOI:10.1016/j.jag.2024.103867

    https://literatur.thuenen.de/digbib_extern/dn068235.pdf

  4. 3

    Frank C, Hertzog LR, Klimek S, Schwieder M, Tetteh GO, Böhner HGS, Röder N, Levers C, Katzenberger J, Kreft H, Kamp J (2024) Woody semi-natural habitats modulate the effects of field size and functional crop diversity on farmland birds. J Appl Ecol 61(5):987-999, DOI:10.1111/1365-2664.14604

    https://literatur.thuenen.de/digbib_extern/dn067799.pdf

  5. 4

    Lobert F, Löw J, Schwieder M, Gocht A, Schlund M, Hostert P, Erasmi S (2023) A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level. Remote Sens Environ 298:113800, DOI:10.1016/j.rse.2023.113800

    https://literatur.thuenen.de/digbib_extern/dn066907.pdf

  6. 5

    Tetteh GO, Schwieder M, Erasmi S, Conrad C, Gocht A (2023) Comparison of an optimised multiresolution segmentation approach with deep neural networks for delineating agricultural fields from Sentinel-2 images. J Photogramm Remote Sensing Geoinf Sci 91(4):295-312, DOI:10.1007/s41064-023-00247-x

    https://literatur.thuenen.de/digbib_extern/dn066421.pdf

  7. 6

    Oliveira HFM, Fandos G, Zangrandi PL, Bendini HN, Silva DC, Muylaert RL, Marinho-Filho JS, Fonseca LMG, Rufin P, Schwieder M, Domingos FMCB (2022) Crops, caves, and bats: deforestation and mining threaten an endemic and endangered bat species (Lonchophylla: Phyllostomidae) in the Neotropical savannas. Hystrix 33(2):157-165, DOI:10.4404/hystrix-00541-2022

    https://literatur.thuenen.de/digbib_extern/dn065790.pdf

  8. 7

    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

    https://literatur.thuenen.de/digbib_extern/dn064247.pdf

  9. 8

    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

    https://literatur.thuenen.de/digbib_extern/dn064297.pdf

  10. 9

    Tetteh GO, 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

    https://literatur.thuenen.de/digbib_extern/dn063902.pdf

  11. 10

    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

    https://literatur.thuenen.de/digbib_extern/dn064075.pdf

  12. 11

    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

    https://literatur.thuenen.de/digbib_extern/dn062563.pdf

  13. 12

    Tetteh GO, 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

    https://literatur.thuenen.de/digbib_extern/dn062673.pdf

    Beiträge in nicht referierten Zeitschriften von Marcel Schwieder

    1. 0

      Weber D, Schwieder M, Huber N, Ginzler C, Boch S (2024) Kartierung der Grünlandnutzung aus dem All - methodisches Vorgehen und ökologische Anwendung für die Schweiz. N+L Inside(1):35-39

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