@article{d62af40df95c45138d42a687c903eae4,
title = "Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework",
keywords = "4-Scale, Landsat, Leaf area index, PROSPECT, Radiative transfer model, Spatial statistics",
author = "H. Croft and Chen, \{J. M.\} and Y. Zhang and A. Simic and Noland, \{T. L.\} and N. Nesbitt and J. Arabian",
note = "Publisher Copyright: {\textcopyright} 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).",
year = "2015",
month = apr,
day = "1",
doi = "10.1016/j.isprsjprs.2015.01.008",
language = "English",
volume = "102",
pages = "85--95",
journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
issn = "0924-2716",
}