Comparing techniques for vegetation classification using multi- and hyperspectral images and ancillary environmental data

R Sluiter, E.J. Pebesma

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

Original language	English
Pages (from-to)	6143-6161
Number of pages	19
Journal	International Journal of Remote Sensing
Volume	31
Issue number	23
Publication status	Published - 2010

Cite this

@article{95363cd7e6034d5c82b02b29a99661f6,

title = "Comparing techniques for vegetation classification using multi- and hyperspectral images and ancillary environmental data",

author = "R Sluiter and E.J. Pebesma",

year = "2010",

language = "English",

volume = "31",

pages = "6143--6161",

journal = "International Journal of Remote Sensing",

issn = "0143-1161",

publisher = "Taylor and Francis Ltd.",

number = "23",

}