@phdthesis{0b20d4621ccc4be497ab2552dc593755,
title = "Remote sensing aided spatial prediction of forest stem volume",
keywords = "forest inventories, forest surveys, geographical information systems, global positioning systems, methods, remote sensing, simulation models, stems, volume, forest inventories, forest surveys, geographical information systems, global positioning systems, methods, remote sensing, simulation models, stems, volume",
author = "J{\"o}rgen Wallerman",
year = "2003",
language = "English",
isbn = "91-576-6505-2",
series = "Acta Universitatis Agriculturae Sueciae. Silvestria",
number = "271",
publisher = "Swedish University of Agricultural Sciences",
address = "Sweden",
}