skip to primary navigation skip to content
 

 

You are not currently logged in

SPRI library catalogue

View a record

Please note: You are viewing the legacy database of the Scott Polar Research Institute Library catalogue. It is no longer being updated, so does not reliably reflect our current library holdings.

Please search for material in iDiscover for up-to-date information about the library collection.


Record #172152:

Satellite image based vegetation classification of a large area using limited ground reference data: a case study in the Usa Basin, north-east European Russia / Virtanen, Kari Mikkola, Ari Nikula.

Title: Satellite image based vegetation classification of a large area using limited ground reference data: a case study in the Usa Basin, north-east European Russia / Virtanen, Kari Mikkola, Ari Nikula.
Author(s): Mikkola, Kari.
Nikula, Ari.
Author (corporate): Virtanen.
Date: 2004.
In: Polar Research. (2004.), Vol. 23(1) (2004)
Abstract: Shows how mesoscale vegetation and land cover classification of large, remote Arctic area can be conducted at fine spatial resolution (30 m cell size) using limited ground reference data set. Data was collected during summers of 1998-2000. Evaluates accuracy of results and discusses advantages of using this kind of spatially detailed data. Includes description and coverage of vegetation and land cover classes in each sub-area and in whole Usa basin (Komi Republic)
Notes:

Polar Research. Vol. 23(1) :51-66 (2004).

Keywords: 53.087.23 -- Remote sensing.
58 -- Botany.
629.783 -- Satellites.
A -- Geophysical sciences (general).
(*501) -- Russia (Federation).
(*531.6) -- Respublika Komi.
SPRI record no.: 172152

MARCXML

LDR 01432naa#a2200000#a#4500
001 SPRI-172152
005 20221002204531.0
007 ta
008 221002s2004####xx#b##|##|###|0||#0|eng#d
035 ## ‡aSPRI-172152
040 ## ‡aUkCU-P‡beng‡eaacr
110 2# ‡aVirtanen.
245 10 ‡aSatellite image based vegetation classification of a large area using limited ground reference data :‡ba case study in the Usa Basin, north-east European Russia /‡cVirtanen, Kari Mikkola, Ari Nikula.
260 ## ‡a[S.l.] :‡b[s.n.],‡c2004.
300 ## ‡ap. 51-66 :‡bmaps.
500 ## ‡aPolar Research. Vol. 23(1) :51-66 (2004).
520 3# ‡aShows how mesoscale vegetation and land cover classification of large, remote Arctic area can be conducted at fine spatial resolution (30 m cell size) using limited ground reference data set. Data was collected during summers of 1998-2000. Evaluates accuracy of results and discusses advantages of using this kind of spatially detailed data. Includes description and coverage of vegetation and land cover classes in each sub-area and in whole Usa basin (Komi Republic)
650 07 ‡a53.087.23 -- Remote sensing.‡2udc
650 07 ‡a58 -- Botany.‡2udc
650 07 ‡a629.783 -- Satellites.‡2udc
650 07 ‡aA -- Geophysical sciences (general).‡2local
651 #7 ‡a(*501) -- Russia (Federation).‡2udc
651 #7 ‡a(*531.6) -- Respublika Komi.‡2udc
700 1# ‡aMikkola, Kari.
700 1# ‡aNikula, Ari.
773 0# ‡7nnas ‡tPolar Research. ‡gVol. 23(1) (2004) ‡wSPRI-64246
916 ## ‡aIW
917 ## ‡aUnenhanced record from Muscat, imported 2019
948 3# ‡a20221002 ‡bIW