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Earthquakes: from Twitter detection to EO data processing
Andreadis, S., Gialampoukidis, I., Manconi, A., Cordeiro, D., Conde, V., Sagona, M., … Kompatsiaris, I. (2022). Earthquakes: from Twitter detection to EO data processing. IEEE Geoscience and Remote Sensing Letters, 19, 3511005 (5 pp.). https://doi.org/10.1109/LGRS.2022.3149541
Evaluating superblock design to enhance urban greening
Eggimann, S., Lischer, P., & Bolliger, J. (2021). Evaluating superblock design to enhance urban greening. In J. L. Scartezzini, B. Smith, & D. Lindelof (Eds.), Journal of physics: conference series: Vol. 2042. CISBAT 2021 carbon neutral cities - energy efficiency & renewables in the digital era (p. 012005 (6 pp.). https://doi.org/10.1088/1742-6596/2042/1/012005
Automatic landslide detection using Bi-temporal Sentinel 2 imagery
Piralilou, S. T., Shahabi, H., & Pazur, R. (2021). Automatic landslide detection using Bi-temporal Sentinel 2 imagery. GI_Forum Journal for Geographic Information Science, 9(1), 39-45. https://doi.org/10.1553/GISCIENCE2021_01_S39
Quantifying uncertainties in earth observation-based ecosystem service assessments
Stritih, A., Bebi, P., & Grêt-Regamey, A. (2019). Quantifying uncertainties in earth observation-based ecosystem service assessments. Environmental Modelling and Software, 111, 300-310. https://doi.org/10.1016/j.envsoft.2018.09.005
Quantitative retrieval of biogeophysical characteristics using imaging spectroscopy - a mountain forest case study
Schaepman, M. E., Koetz, B., Schaepman-Strub, G., Zimmermann, N. E., & Itten, K. I. (2004). Quantitative retrieval of biogeophysical characteristics using imaging spectroscopy - a mountain forest case study. Community Ecology, 5(1), 93-104. https://doi.org/10.1556/ComEc.5.2004.1.9