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Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region
Li, D., Gajardo, J., Volpi, M., & Defraeye, T. (2023). Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region. Remote Sensing Applications: Society and Environment, 32, 101057 (13 pp.). https://doi.org/10.1016/j.rsase.2023.101057
The greenhouse gas project of ESA's climate change initiative (GHG-CCI): overview, achievements and future plans
Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Aben, I., Alexe, M., … Zehner, C. (2015). The greenhouse gas project of ESA's climate change initiative (GHG-CCI): overview, achievements and future plans. In G. Schreier, P. E. Skrovseth, & H. Staudenrausch (Eds.), The international archives of the photogrammetry, remote sensing and spatial information sciences: Vol. XL-7/W3. International symposium on remote sensing of environment (pp. 165-172). https://doi.org/10.5194/isprsarchives-XL-7-W3-165-2015
Changes in OMI tropospheric NO<SUB>2</SUB> columns over Europe from 2004 to 2009 and the influence of meteorological variability
Zhou, Y., Brunner, D., Hueglin, C., Henne, S., & Staehelin, J. (2012). Changes in OMI tropospheric NO2 columns over Europe from 2004 to 2009 and the influence of meteorological variability. Atmospheric Environment, 46, 482-495. https://doi.org/10.1016/j.atmosenv.2011.09.024
Magnetoelastic strain sensor for optimized assessment of bone fracture fixation
Oess, N. P., Weisse, B., & Nelson, B. J. (2009). Magnetoelastic strain sensor for optimized assessment of bone fracture fixation. IEEE Sensors Journal, 9(8), 961-968. https://doi.org/10.1109/JSEN.2009.2025575