@article{1792449cf1bc4e33917c9b0a3eee15ea,
title = "Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing",
keywords = "coniferous forest cover, land cover transformation, multiple regression, neural networks, pacific northwest, remote sensing, vegetation indices, spectral vegetation indexes, artificial neural networks, land-use, climate, carbon, biodiversity, information, reflectance, landscape, avhrr, Geography and environmental studies",
author = "D.S. Boyd and G.M. Foody and W.J. Ripple",
year = "2002",
month = oct,
doi = "10.1016/S0143-6228(02)00048-6",
language = "English",
volume = "22",
pages = "375--392",
journal = "Applied Geography",
issn = "0143-6228",
publisher = "Elsevier B.V.",
number = "4",
}