Teluguntla, P., Thenkabail, P. S., Oliphant, A., Xiong, J., Gumma, M. K., Congalton, R. G., . . . Huete, A. (2018). A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform. ISPRS journal of photogrammetry and remote sensing, 144, 325-340. https://doi.org/10.1016/j.isprsjprs.2018.07.017
Citace podle Chicago (17th ed.)Teluguntla, Pardhasaradhi, Prasad S. Thenkabail, Adam Oliphant, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav, a Alfredo Huete. "A 30-m Landsat-derived Cropland Extent Product of Australia and China Using Random Forest Machine Learning Algorithm on Google Earth Engine Cloud Computing Platform." ISPRS Journal of Photogrammetry and Remote Sensing 144 (2018): 325-340. https://doi.org/10.1016/j.isprsjprs.2018.07.017.
Citace podle MLA (9th ed.)Teluguntla, Pardhasaradhi, et al. "A 30-m Landsat-derived Cropland Extent Product of Australia and China Using Random Forest Machine Learning Algorithm on Google Earth Engine Cloud Computing Platform." ISPRS Journal of Photogrammetry and Remote Sensing, vol. 144, 2018, pp. 325-340, https://doi.org/10.1016/j.isprsjprs.2018.07.017.