Neural networks, multitemporal Landsat thematic mapper data and topographic data to classify forest damages in the Czech republic

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

Original language	English
Pages (from-to)	217-228
Journal	Canadian journal of remote sensing
Volume	23
Issue number	3
Publication status	Published - 1997

Keywords

@article{7537c0b12f9b4fb38650031d4feaf7da,

title = "Neural networks, multitemporal Landsat thematic mapper data and topographic data to classify forest damages in the Czech republic",

keywords = "NRS, ADLIB-ART-1978",

author = "J. Ardo and P. Pilesj{\"o} and A.K. Skidmore",

year = "1997",

language = "English",

volume = "23",

pages = "217--228",

journal = "Canadian journal of remote sensing",

issn = "0703-8992",

publisher = "Taylor \& Francis",

number = "3",

}

TY - JOUR

T1 - Neural networks, multitemporal Landsat thematic mapper data and topographic data to classify forest damages in the Czech republic

AU - Ardo, J.

AU - Pilesjö, P.

AU - Skidmore, A.K.

PY - 1997

Y1 - 1997

KW - NRS

KW - ADLIB-ART-1978

M3 - Article

SN - 0703-8992

VL - 23

SP - 217

EP - 228

JO - Canadian journal of remote sensing

JF - Canadian journal of remote sensing

IS - 3

ER -