Institute of

Farm Economics

Further Publications of Stefan Erasmi

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  1. Schlund M, Erasmi S, Scipal K (2020) Comparison of aboveground biomass estimation from InSAR and LiDAR canopy height models in tropical forests. IEEE Geosci Remote Sens Lett 17(3):367-371, DOI:10.1109/LGRS.2019.2925901
  2. Schlund M, Magdon P, Eaton B, Aumann C, Erasmi S (2019) Canopy height estimation with TanDEM-X in temperate and boreal forests. Int J Appl Earth Observ Geoinf 82:101904, DOI:10.1016/j.jag.2019.101904
  3. Schlund M, Baron D, Magdon P, Erasmi S (2019) Canopy penetration depth estimation with TanDEM-X and its compensation in temperate forests. ISPRS J Photogramm Remote Sens 147: 232-241, DOI:10.1016/j.isprsjprs.2018.11.021
  4. Souza Mendes Fde, Baron D, Gerold G, Liesenberg V, Erasmi S (2019) Optical and SAR remote sensing synergism for mapping vegetation types in the endangered Cerrado/Amazon ecotone of nova Mutum-Mato Grosso. Remote Sensing 11(10):1161, DOI:10.3390/rs11101161
    pdf document (limited accessibility) 10602 kb
  5. Cunha J, Nobrega RLB, Rufino I, Erasmi S, Galvao C, Valente F (2019) Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga. Remote Sens Environ 238:111250, DOI:10.1016/j.rse.2019.111250
  6. Klinge M, Dulamsuren C, Erasmi S, Karger DN, Hauck M (2018) Climate effects on vegetation vitality at the treeline of boreal forests of Mongolia. Biogeosciences 15(5):1319-1333, DOI:10.5194/bg-15-1319-2018
    pdf document (limited accessibility) 4111 kb
  7. Baron D, Erasmi S (2017) High Resolution Forest Maps from Interferometric TanDEM-X and Multitemporal Sentinel-1 SAR Data. J Photogramm Remote Sensing Geoinf Sci 85(6):389-405, DOI:10.1007/s41064-017-0040-1
  8. Oertel C, Matschullat J, Zurba K, Zimmermann F, Erasmi S (2016) Greenhouse gas emissions from soils - a review. Chemie Erde 76:327-352
    pdf document (limited accessibility) 4205 kb
  9. Lausch A, Erasmi S, King DJ, Magdon P, Heurich M (2016) Understanding forest health with remote sensing-Part I - A review of spectral traits, processes and remote-sensing characteristics. Remote Sensing 8(12):1029, DOI:10.3390/rs8121029
    pdf document (limited accessibility) 3819 kb
  10. Perovic D, Gamez-Virues S, Börschig C, Klein A-M, Krauss J, Steckel J, Rothenwöhrer C, Erasmi S, Tscharntke T, Westphal C (2015) Configurational landscape heterogeneity shapes functional community composition of grassland butterflies. J Appl Ecol 52(2):505-513, DOI:10.1111/1365-2664.12394

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