1. Agisoft Metashape. (2019). Metashape presentation. Retrieved June 16, 2020, from https://www.agisoft.com/pdf/metashape_presentation.pdf.
2. Barnes, E. M., Sudduth, K. A., Hummel, J. W., Lesch, S. M., Corwin, D. L., Yang, C., et al. (2003). Remote- and ground-based sensor techniques to map soil properties. Photogrammetric Engineering & Remote Sensing, 69(6), 619–630. https://doi.org/10.14358/PERS.69.6.619
3. Bendig, J. V. (2015). Unmanned aerial vehicles (UAVs) for multi-temporal crop surface modelling. A new method for plant height and biomass estimation based on RGB imaging (Doctoral Thesis). University of Cologne, Faculty of Mathematics and Natural Sciences, Cologne.
4. Bendig, J., Bolten, A., Bennertz, S., Broscheit, J., Eichfuss, S., & Bareth, G. (2014). Estimating biomass of barley using crop surface models (CSMs) derived from UAV-Based RGB imaging. Remote Sensing, 6(11), 10395–10412. https://doi.org/10.3390/rs61110395
5. Bendig, J., Yu, K., Aasen, H., Bolten, A., Bennertz, S., Broscheit, J., et al. (2015). Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. International Journal of Applied Earth Observation and Geoinformation, 39, 79–87. https://doi.org/10.1016/j.jag.2015.02.012