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Found 15 publication(s)

  1. 1

Dashpurev, B.; Dorj, M.; Phan, T.N.; Bendix, J. & Lehnert, L. (2023): Estimating fractional vegetation cover and aboveground biomass for land degradation assessment in eastern Mongolia steppe: combining ground vegetation data and remote sensing. International Journal of Remote Sensing 44(2), 452--468.
Nauss, T. (2005): Das Rain Area Delineation Scheme RADS - Ein neues Verfahren zur satellitengestützten Erfassung der Niederschlagsfläche über Mitteleuropa Philipps-University-Marburg, phd thesis
Noskov, A.; Bendix, J. & Friess, N. (2021): A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques. Sensors 21(4), 1-23.
Núñez, P.Á.; Silva, B.; Schulz, M.; Rollenbeck, R. & Bendix, J. (2021): Evapotranspiration estimates for two tropical mountain forest using high spatial resolution satellite data. International Journal of Remote Sensing 42(8), 2940--2962.
Silva, B.; Alava Nunez, P.; Strobl, S.; Beck, E. & Bendix, J. (2017): Area-wide evapotranspiration monitoring at the crown level of a tropical mountain rain forest. Remote Sensing of Environment 194, 219–229.
Egli, S.; Thies, B.; Drönner, J.; Cermak, J. & Bendix, J. (2016): A 10 year fog and low stratus climatology for Europe based on Meteosat Second Generation data. Quarterly Journal of the Royal Meteorological Society 143(702), 530-541.
Schulz, M. (2017): Delineating the montane cloud forest of Taiwan LCRS, phd thesis
Carrillo-Rojas, G.; Silva, B.; Cordova, M.; Celleri, R. & Bendix, J. (2016): Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador. Remote Sensing 8(2), 160 (1-24).
Kühnlein, M.; Appelhans, T.; Thies, B. & Nauss, T. (2015): Precipitation estimates from MSG SEVIRI daytime, night-time and twilight data with random forests. Journal of Applied Meteorology and Climatology 53, 2457-2480.
Li, Y.; Zhang, S.; Thies, B.; Trachte, K. & Bendix, J. (2014): Spatio-temporal detection of fog / low stratus top height over the geostationary satellite data as a precondition for ground fog detection – a feasibility study. Atmospheric Research 151, 212-223.
Cermak, J. & Bendix, J. (2008): A Novel Approach to Fog/Low Stratus Detection Using Meteosat 8 Data. Atmospheric Research 87(3-4), 279-292.
Cermak, J.; Eastman, R.M.; Bendix, J. & Warren, S.G. (2009): European climatology of fog and low stratus based on geostationary satellite observations. Quarterly Journal of the Royal Meteorological Society 135(645), 2125-2130.
Curatola Fernández, G.F.; Silva, B.; Gawlik, J.; Thies, B. & Bendix, J. (2013): Bracken fern frond status classification in the Andes of southern Ecuador: combining multispectral satellite data and field spectroscopy. International Journal of Remote Sensing 34, 7020-7037.
Curatola Fernández, G.F.; Obermeier, W.; Gerique, A.; López Sandoval, M.F.; Lehnert, L.; Thies, B. & Bendix, J. (2015): Land Cover Change in the Andes of Southern Ecuador - Patterns and Drivers. Remote Sensing 7(3), 2509-2542.
Lehnert, L.; Meyer, H.; Meyer, N.; Reudenbach, C. & Bendix, J. (2014): A hyperspectral indicator system for rangeland degradation on the Tibetan Plateau: A case study towards spaceborne monitoring. Ecological Indicators 39, 54-64.
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