Predicting the spectral information of future land cover using machine learning

Research output: Contribution to journal › Article › peer-review

331 Downloads (Pure)

Original language	English
Pages (from-to)	5592-5607
Journal	International Journal of Remote Sensing
Volume	38
Early online date	22 Jun 2017
DOIs	https://doi.org/10.1080/01431161.2017.1343512
Publication status	Published - 2017

Access to Document

@article{c673b7402d044839bffcfbbb3f65f032,

title = "Predicting the spectral information of future land cover using machine learning",

author = "Sopan Patil and Yuting Gu and A. Dias and Marc Steiglitz and Greg Turk",

year = "2017",

doi = "10.1080/01431161.2017.1343512",

language = "English",

volume = "38",

pages = "5592--5607",

journal = "International Journal of Remote Sensing",

issn = "0143-1161",

publisher = "Taylor and Francis Ltd.",

}

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

SN - 0143-1161

VL - 38

SP - 5592

EP - 5607

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

ER -