International Archives of the Photogrammetry, Remote Se 
  
nsing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
Privileged by climate', the beechwood is the most important 
forest in this district (table 1). However, the beech is very 
widespread in Italy: in particular, in Friuli-Venezia Giulia 
mountains, there are a large number of beautiful beechwoods 
before a cutting operation (in order to define the labour 
charges and the possible returns) is to use the dendrometric 
tablet. With this, it is possible to estimate the biomass from 
tree height and diameter. In this stage of our research, we 
  
  
  
  
  
  
  
  
  
  
  
  
  
(fig.2). want to study how much this method is accurate. 
2. Analysis of the correlation between NDVI and weighted 
xS wood biomass. To understand the relationship between a 
Forestall typology cas ; 
vegetation index (NDVI) and biomass and other biophysical 
Beechwood variables we compared these variables in a Cartesian 
Pinewood Graphic. 
Red Fir wood 
Hop-hornbeam wood 
Other The first stage has been developed in the following steps: 
ı Giulia - 
yrmalized Table 1. The Pordenone Mountains forest typology. 4.1. Collection of some forestry information 
pared our : 
The data collected are the following: 
a. Some forestry information (height and diameter of 
plants). 
b. Placement by GPS and repeated topographic survey; 
c. Measure of LAI (Leaf Area Index) 
iss. These 
S stage is 
Ihe, iios Some forestry information (height and diameter of plants) 
cquisition We measured height (with hypsometer) and diameter (with 
dendrometric measure instrument) for each tree test areas. From 
this data we estimated forestall biomass in the classic way (by 
dendrometric table). We also marked those to cut (fig.3). For 
each test area a plan has been realised; every tree has been 
located and identified. 
ion of the 
steps: 
  
yrove their 
mass. 
Figure 2. Typical beechwood in the study area (source: 
CETA). 
jables. We 
Index) as 3. 
ds kind of 
DATABASE 
To explore the relationship between applied vegetation index 
(NDVI) and biophysical variables ground forest, we collected 
data about weight wood and leaves in two small sampling areas 
(around 300m?). To define where to locate them (“G. Ceconi” 
forest - Vito D'Asio municipality), we studied slope and aspect 
conditions, in order to avoid logistic (e.g., transfer wood) or 
image acquisition (e.g., shadow) problems. All this work has 
been realised with the full concordance of Forestall Direction of 
tains forest 
have been 
  
Friuli-Venezia Giulia Region. 
Furthermore, our test areas represent the two situations more 
  
A 
Figure 3. The measuring and marking operation (source: 
ort LH common in this region. In fact, the first is located in a coppice- CETA). 
ed wood beech becoming a high forest and the second is in a forest : nimes 
d of tall beech trees. Placement by GPS and repeated topographic survey 
Ljubljana 4. METHODOLOGY Some repeated measurements have been realized with GPS 
: instrument (GARMIN 12 CX) to locate the two test areas. With 
The adopted methodology is subdivided in two principal stages: present digital cartography and in parallel with GPS instrument, 
we defined in quite exact way some waypoints (Estimating 
I 1. Checking of the precision of traditional forestry methods in Position Error — EPE: about 1,5mt). Furthermore we realised 
EN order to estimate the weight of the wood biomass. In some repeated topographic surveys, using as references ground 
forestry the standard method to evaluate the wood biomass targets. For example, to locate the area test 26, we used a large 
piece of white cloth, easily recognizable on the satellite image 
The Pordenone Mountains District (also named Prealpi (fig.6). 
»ezia Giulia 
N AD PS . * . . . 
Car niche) is characterized by a sub Mediterranean climate of 
medium latitude: extended and wet autumns, dry and snowy 
winters, rainy springs and warm summers (Del Favero, 
1998). 
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