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Delord, K., Roudaut, G., Guinet, C., Barbraud, C., Bertrand, S., & Weimerskirch, H. (2015). Kite aerial photography: a low-cost method for monitoring seabird colonies. J. Field Ornithol., 86(2), 173–179.
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Dobrovolski, R., Loyola, R. D., Guilhaumon, F., Gouveia, S. F., & Diniz, J. A. F. (2013). Global agricultural expansion and carnivore conservation biogeography. Biol. Conserv., 165, 162–170.
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Ewald, M., Aerts, R., Lenoir, J., Fassnacht, F. E., Nicolas, M., Skowronek, S., et al. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote Sensing of Environment, 211, 13–25.
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Sheehan, E. V., Vaz, S., Pettifer, E., Foster, N. L., Nancollas, S. J., Cousens, S., et al. (2016). An experimental comparison of three towed underwater video systems using species metrics, benthic impact and performance. Methods Ecol. Evol., 7(7), 843–852.
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Villon, S., Chaumont, M., Subsol, G., Villeger, S., Claverie, T., & Mouillot, D. (2016). Coral Reef Fish Detection and Recognition in Underwater Videos by Supervised Machine Learning: Comparison Between Deep Learning and HOG plus SVM Methods. In J. BlancTalon, C. Distante, W. Philips, D. Popescu, & P. Scheunders (Eds.), (pp. 160–171). Advanced Concepts for Intelligent Vision Systems, Acivs 2016, 10016. Cham: Springer Int Publishing Ag.
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