21. Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., Tinevez J.Y., White D.J., Hartenstein V., Eliceiri K., Tomancak P., Cardona A. Fiji: an open-source platform for biological-image analysis // Nature Methods. 2012. Vol. 9. P. 676-682.
22. Yue J., Yang G., Li C., Li Z., Wang Y., Feng H., Xu B., Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models // Remote Sens. 2017. Vol. 9. 708.
23. Susantoro T.M., Wikantika K., Saepuloh A., Harsolumakso A.H. Selection of vegetation indices for mapping the sugarcane condition around the oil and gas field of North West Java Basin, Indonesia // IOP Conf. Series: Earth and Environmental Science. 2018. 149. C. 1
24. Sripada R.P., Heiniger R.W., White J.G., Weisz R. Aerial color infrared photography for determining late-season nitrogen requirements in corn // Agronomy Journal. 2005. Vol. 97. C. 1443-1451.
25. Hunt JR.E.R., Doraiswamy P.C., McMurtrey J.E., Daughtry C.S.T., Perry E.M., Akhmedov B. A visible band index for remote sensing leaf chlorophyll content at the canopy scale // International Journal of Applied Earth Observation and Geoinformation 2013. Vol. 21. C.103-112.
26. Hunt JR.E.R., Daughtry C.S.T., Eitel J.U.H., Long D.S. Remote sensing leaf chlorophyll content using avisible band index // Agronomy Journal. 2011. Vol. 103. C. 1090-1099.
27. Hunt JR. E.R., Cavigelli M., Daughtry C.S.T., McMurtrey III J.E., Walthall C.L. Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status // Precision Agriculture 2005. Vol. 6. C.359 378.
28. Enhanced Normalized Difference Vegetation Index (ENDVI) [Электронный ресурс] // Maxmax 1997-2019. URL http://gis-lab.info/qa/vi-soilline.html (дата обращения: 18.05.2019).