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

J. Ardo, P. Pilesjö, A.K. Skidmore

Research output: Contribution to journalArticleAcademicpeer-review

47 Citations (Scopus)
Original languageEnglish
Pages (from-to)217-228
JournalCanadian journal of remote sensing
Volume23
Issue number3
Publication statusPublished - 1997

Keywords

  • NRS
  • ADLIB-ART-1978

Cite this

@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",

}

Neural networks, multitemporal Landsat thematic mapper data and topographic data to classify forest damages in the Czech republic. / Ardo, J.; Pilesjö, P.; Skidmore, A.K.

In: Canadian journal of remote sensing, Vol. 23, No. 3, 1997, p. 217-228.

Research output: Contribution to journalArticleAcademicpeer-review

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

VL - 23

SP - 217

EP - 228

JO - Canadian journal of remote sensing

JF - Canadian journal of remote sensing

SN - 0703-8992

IS - 3

ER -