isses in 
is in the 
shown 
Lon is 
avail- 
i re- 
1 value 
a, the 
>ecause 
5 due to 
Lons. 
GROUND DATA COLLECTION 
The center points of the 402 ground plots were established 
permanently throughout the Park. At each plot, soil type, 
aspect, elevation, and data since last fire were noted. 
Dead surface biomass was estimated using a transect sampling 
procedure (Brown and Oberheu, 1980) and a standardized fuel 
model (Albini, 1976) was selected. Finally, a variable plot 
(basal area factor 10) was used to inventory the standing 
trees. For each variable plot, the number of trees, di 
ameter classes, canopy cover, age classes and basal area 
for each species was tallied. 
s appar- 
en the 
lope 
tling, 
is a 
veg- 
the 
dence 
.nds , we 
because 
tions 
Use 
MAP PRODUCTION AND STATISTICAL OUTPUT 
After the field work had been completed, it became apparent 
that the original 19 spectral strata represented three vege 
tation types (Table 3 and Figure 1). The composition of 
these types was characterized by aggregating similar sample 
plots on the basis of the species mix in the canopy over 
story. The aggregations for the Chaparral type is given in 
Table 4. In addition, these vegetation types were further 
characterized in terms of fuel load (Table 5), potential 
spread rate (Table 6) and predicted flame height based on 
the fuel inventory data and on specified weather conditions 
selected to be typical of extreme fire weather for this 
vely 
as re 
nd use 
region. 
NUMBER OF 
PERCENT 
NUMBER 
urn map- 
AGGREGATION 
PLOTS 
OF TOTAL 
OF ACRES 
tion- 
qu/ma 
2 
4.9 
70 
qu/ch/kp/ma 
3 
7.3 
106 
IN TYPE 
qu/kp/ma 
26 
63.4 
916 
ch/kp/na 
5 
12.2 
176 
kp/ma 
5 
12.2 
176 
'orest 
41 
100.0 
1,444 
'ir Forest 
acres 
qu-Quercus . ma-Arctostaphlo~s~! ch-Castanopsis~ and 
kp-Pinus 
Table 4. The composition of the Chaparral type based 
on canopy overstory aggregations. 
■ral 
icres 
9 spec- 
ng of 
based 
CONCLUSIONS 
Based on the preliminary analysis of the correlations be 
tween the data extracted from the digital data band and that 
collected in the field, we make the following conclusions 
regarding the pilot inventory system designed for the Big 
Basin Redwoods State Park: 
1. The classified Landsat data provided the best strati 
fication for the wildland fuels within the Park. Because 
of the high correlations between the distribution of these 
data to the distribution of the soil and hypsographic data, 
the stratification adequately represented the other grad- 
59 
■‘■y ;