de Lima, R.S.; Li, K.-Y.; Vain, A.; Lang, M.; Bergamo, T.F.; Kokamägi, K.; Burnside, N.G.; Ward, R.D.; Sepp, K.
The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites. Remote Sens. 2022, 14, 2334.
https://doi.org/10.3390/rs14102334
AMA Style
de Lima RS, Li K-Y, Vain A, Lang M, Bergamo TF, Kokamägi K, Burnside NG, Ward RD, Sepp K.
The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites. Remote Sensing. 2022; 14(10):2334.
https://doi.org/10.3390/rs14102334
Chicago/Turabian Style
de Lima, Raul Sampaio, Kai-Yun Li, Ants Vain, Mait Lang, Thaisa Fernandes Bergamo, Kaupo Kokamägi, Niall G. Burnside, Raymond D. Ward, and Kalev Sepp.
2022. "The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites" Remote Sensing 14, no. 10: 2334.
https://doi.org/10.3390/rs14102334
APA Style
de Lima, R. S., Li, K. -Y., Vain, A., Lang, M., Bergamo, T. F., Kokamägi, K., Burnside, N. G., Ward, R. D., & Sepp, K.
(2022). The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites. Remote Sensing, 14(10), 2334.
https://doi.org/10.3390/rs14102334