Standard Standard

Predicting the spectral information of future land cover using machine learning. / Patil, Sopan; Gu, Yuting; Dias, A.; Steiglitz, Marc; Turk, Greg.

In: International Journal of Remote Sensing, Vol. 38, 2017, p. 5592-5607.

Research output: Contribution to journalArticle

HarvardHarvard

Patil, S, Gu, Y, Dias, A, Steiglitz, M & Turk, G 2017, 'Predicting the spectral information of future land cover using machine learning', International Journal of Remote Sensing, vol. 38, pp. 5592-5607. https://doi.org/10.1080/01431161.2017.1343512

APA

Patil, S., Gu, Y., Dias, A., Steiglitz, M., & Turk, G. (2017). Predicting the spectral information of future land cover using machine learning. International Journal of Remote Sensing, 38, 5592-5607. https://doi.org/10.1080/01431161.2017.1343512

CBE

Patil S, Gu Y, Dias A, Steiglitz M, Turk G. 2017. Predicting the spectral information of future land cover using machine learning. International Journal of Remote Sensing. 38:5592-5607. https://doi.org/10.1080/01431161.2017.1343512

MLA

VancouverVancouver

Patil S, Gu Y, Dias A, Steiglitz M, Turk G. Predicting the spectral information of future land cover using machine learning. International Journal of Remote Sensing. 2017;38:5592-5607. https://doi.org/10.1080/01431161.2017.1343512

Author

Patil, Sopan ; Gu, Yuting ; Dias, A. ; Steiglitz, Marc ; Turk, Greg. / Predicting the spectral information of future land cover using machine learning. In: International Journal of Remote Sensing. 2017 ; Vol. 38. pp. 5592-5607.

RIS

TY - JOUR

T1 - Predicting the spectral information of future land cover using machine learning

AU - Patil, Sopan

AU - Gu, Yuting

AU - Dias, A.

AU - Steiglitz, Marc

AU - Turk, Greg

PY - 2017

Y1 - 2017

U2 - 10.1080/01431161.2017.1343512

DO - 10.1080/01431161.2017.1343512

M3 - Article

VL - 38

SP - 5592

EP - 5607

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

ER -