Hier finden Sie eine Liste von Publikationen zu BIOMASS, die unsere Projektmitglieder in letzter Zeit veröffentlicht haben. Wir werden auch weitere Publikationen, die für die Community interessant sind, in die Liste aufnehmen. Kontaktieren Sie uns, wenn Sie möchten, dass wir Ihre Publikation hinzufügen.
P-BAND RETRIEVAL
DYNAMIC VEGETATION MODELING
Rödig, E., Knapp, N., Fischer, R., Bohn, F.J., Dubayah, R., Tang, H., Huth, A. 2019. From small-scale forest structure to Amazon-wide carbon estimates. Nature Communications 10 , art. 5088.
Rodriguez-Veiga, P, S Quegan, J Carreiras, HJ Persson, JES Fransson, A Hoscilo, D Ziolkowski, K Sterenczak, S Lohberger, M Stangel, A Berninger, F Siegert, V Avitabile, M Herold, S Mermoz, A Bouvet, TL Toan, N Carvalhais, M Santoro, O Cartus, Y Rauste, R Mathieu, GP Asner, C Thiel, C Pathe, C Schmullius, FM Seifert, K Tansey & H Balzter (2019): Forest biomass retrieval approaches from earth observation in different biomes. – International Journal of Applied Earth Observation and Geoinformation, 77, 53-68.
Taubert, F., Fischer, R., Groeneveld, J., Lehmann, S., Müller, M.S., Rödig, E., Wiegand, T., Huth, A., 2018. Global patterns of tropical forest fragmentation. Nature 554, 519–522.Knapp, N., Fischer, R., Huth, A., 2018. Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states. Remote Sensing of Environment 205, 199-209.
Rödig, E., Cuntz, M., Rammig, A., Fischer, R., Taubert, F., Huth, A., 2018. The importance of forest structure for carbon fluxes of the Amazon rainforest. Environmental Research Letters 13, 054013.
Bohn, F. J., & Huth, A. (2017). The importance of forest structure to biodiversity–productivity relationships. Royal Society open science, 4(1), 160521.
Singh J., Levick S., Guderle M. & C. Schmullius (2020): Moving from plot-based to hillslope-scale assessments of savanna vegetation structure with long-range terrestrial laser scanning (LR-TLS). International Journal of Applied Earth Observation and Geoinformation, Volume 90, August 2020, doi.org/10.1016/j.jag.2020.102070.
SAR REMOTE SENSING
Rödig, E., Cuntz, M., Heinke, J., Rammig, A., Huth, A., 2017. Spatial heterogeneity of biomass and forest structure of the Amazon rain forest: Linking remote sensing, forest modelling and field inventory. Global Ecology and Biogeography 26, 1292–1302.
Fischer, R., Knapp, N., Bohn, F., & Huth, A. (2019). Remote sensing measurements of forest structure types for ecosystem service mapping. In Atlas of Ecosystem Services (pp. 63-67). Springer, Cham.
Ma, X., Mahecha, M. D., Migliavacca, M., van der Plas, F., Benavides, R., Ratcliffe, S., … & Wirth, C. (2019). Inferring plant functional diversity from space: the potential of Sentinel-2. Remote Sensing of Environment, 233, 111368.
Ma, X., Migliavacca, M., Wirth, C., Bohn, F. J., Huth, A., Richter, R., & Mahecha, M. D. (2020). Monitoring plant functional diversity using the reflectance and echo from space. Remote Sensing, 12(8), 1248.
Urban, M., Heckel, K., Berger, C., Schratz, P., Smit, I.P.J., Strydom, T., Baade, J. & C. Schmullius (2020): Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data, Koedoe 62(1), a1621. doi:10.4102/koedoe.v62i1.1621.
Fischer, R., Knapp, N., Bohn, F., Shugart, H. H., & Huth, A. (2019). The relevance of forest structure for biomass and productivity in temperate forests: New perspectives for remote sensing. Surveys in Geophysics, 40(4), 709-734.
Stelmaszczuk-Gorska, MA, M Urbazaev, C Schmullius & C Thiel (2018): Estimation of Above-Ground Biomass over Boreal Forests in Siberia Using Updated In Situ, ALOS-2 PALSAR-2, and RADARSAT-2 Data. – Remote Sensing, 10(10), 20.
Urbazaev, M, C Thiel, F Cremer, R Dubayah, M Migliavacca, M Reichstein & C Schmullius (2018): Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico. – Carbon Balance and Management, 13, 20.
DUBOIS, C., MUELLER, M. M., PATHE, C., JAGDHUBER, T., CREMER, F., THIEL, C., SCHMULLIUS, C. (2020). Characterization of land cover seasonality in Sentinel-1 time series data. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 5(3)
THIEL, C., MÜLLER, M. M., BERGER, C., CREMER, F., DUBOIS, C., HESE, S.,BAADE, J., KLAN, F., PATHE, C. (2020). Monitoring Selective Logging in a Pine-Dominated Forest in Central Germany with Repeated Drone Flights Utilizing A Low Cost RTK Quadcopter. Drones, 4(2), 11.
HOSCILO, A., LEWANDOWSKA, A., ZIÓŁKOWSKI, D., STEREŃCZAK, K. ,LISAŃCZUK M., SCHMULLIUS, C., PATHE, C. (2018): Forest Aboveground Biomass Estimation using a Combination of Sentinel-1 and Sentinel-2 Data. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing
SCHMULLIUS, C., C. THIEL, C. PATHE, SANTORO, M. (2015). Radar Time Series for Land Cover and Forest Mapping. In Remote Sensing Time Series (pp. 323-356). Springer International Publishing.Symposium (pp. 9026-9029). IEEE
SANTORO, M., C. SCHMULLIUS, C., PATHE, C., SCHWILK, J. (2012): Pan-boreal mapping of forest growing stock volume using hyper-temporal Envisat ASAR ScanSAR backscatter data,“ Proceedings of IGARSS’12, Munich, 23-27 July, pp. 7204-7207