Full text: Remote sensing for resources development and environmental management (Volume 1)

:3) shows a good 
stands from the 
ea is marked with 
0 m), clearcuts 
results in deline- 
and other very 
pes, were obtained 
with the first two 
ndsat MSS-imagery. 
study on SPOT-sim- 
st results of the 
obtained by using 
on techniques. I 
d channel combin- 
we can delineate 
vegetation cover 
within small areas, texture and patterns were better 
detected, due to the higher spatial resolution for the 
HRV-sensor compared to the TM-sensor. 
I will on basis of this study expect that the second 
generation and multilayer classification systems will 
improve the capability of satellite data to serve as 
a first stage in multistage land use and vegetation 
inventory and monitoring systems. 
5.0 LITERATURE CITED 
Elven, R. & K.D. Vorren 1980. Flora and phytogeography 
of the Habafjell-Skrubben area of Central Troms, 
Northern Norway. Tromura, Naturv. 9: 1-64. Troms0, 
Norway 
Hame, T. 1984. Interpretation of deciduous trees and 
shrubs in conifer seedling stands from Landsat ima 
gery. XV Congress of the ISPRS, Commision VII, Pp 
84-91. 1984. 
Jaakkola, S. 1985. Possibilities for using satellite 
imagery (including SPOT) in forest inventory and 
management. Seminar on the practical application 
of remote sensing in forestry. ECE - FAO - UN, May 
1985. J0nk0ping, Sweden. 
Lannelongue, N.G. & G. Saint 1981. Radiometric appro 
ach. Sheet F2, Technical Appendix. SPOT Imagery Sim 
ulation. Dep. des Public, Paris, France. 
Reichert, G.C. & P.H. Crown 1984. Identification of 
Winther Wheat Using Landsat MSS Data. Can. J. Re 
mote Sensing 10 (2): 111-120. 
Sadowski, F. & J. Sarno 1976. Forest classification 
accuracy as influenced by multispectral scanner 
spatial resolution. NASA CR - ERIM 109600-71-F. 
Teillet, P.M., B. Quindon & D.G. Goodenough 1981. For 
est classification using simulated Landsat-D Thema 
tic Mapper data. Can. J. Remote Sensing / (1): Pp. 
51-60. 
T0mmervik, H. 1985a. Rruk av fjernanalyse i vegeta- 
sjonskartlegging anvendt pa et omrade i Indre Troms, 
Nord-Norge. Cand.Scient. thesis. University of 
Troms0, Norway. 234 pp. 
T0mmervik, H. 1985b. Use of Landsat 5 TM Imagery in 
Detection of Mixed Spruce Seedling Stands in the 
Dividalen Area of Central Troms, Northern Norway. 
Seminar on the practical application of remote sen 
sing in forestry. ECE - FAO - UN. May 1985. J0nk0p- 
ing, Sweden. 
Landsat 5 TM and 
lution between 
sat 5 TM, new 
level and accuracy 
has shown that it 
on cover types 
Hoped, with an 
e, in spite of the 
re taken too early 
the autumn. In 
ication even went 
riation in eco- 
getation. 
ation based on 
ions was a very 
on of imagery. The 
ed by the TM-sen- 
of TM were useful 
ally for deline- 
ypes. 
sor and the simu- 
the two sensor- 
to detect and map 
a, due to the 
TM-sensor compa- 
sification of the 
getation units
	        
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