Full text: Proceedings, XXth congress (Part 7)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
land use classes (land use purpose classifiers are not listed). 
The provided list is not exhaustive but is intended to “grow” 
into a standard set of classifiers for use in the preparation of 
land use classification systems. In addition, use of classifiers is 
helpful for merging of classification systems, and to correlate 
classes defined under different classification systems (Wyatt et 
al. 1997). 
     
   
  
  
    
Land Use Class A name is 
Land Use System ; 
; Name ( user defined ) required 
    
          
  
   
  
Land Use 
; urpose Classifi 
Aimed at Purpos asshiers One purpose 
[Species/Service LO Based on classifier is 
Product/Benefit ] [S/S-P/B] required 
combination(s) combinations 
Operat Operation 
Sequence Sequence Classifiers 
Detalson | O-———#-——# Based on key aspects Optional 
Operations of selected operations 
! Land aspects, Context 
: eg. Classifiers Gesture 
i infi towards 
i infrastructure, Generalised info on: existing 
tenancy = sources of inputs classification 
; arrangements, - destinations of outputs systems 
plot size, etc. = sources of implements used (optional) 
  
= -tenancy arrangement 
Aspects of the Holding and -(othors) 
its context 
Figure 6. Classifiers used to define a land use class. 
Table 4. Example of a land use class definition. 
  
  
Codes ge hu: 
(see App.) Shifting Cultivation 
Purpose Classifiers 
n.a. » Plants for plant produce, and 
n.a. * Animals for animal produce. 
  
Operation Sequence Classifiers 
A.1.1.2.1.4 + Agricultural production > Crop production > 
Temporary (arable) cropping > Multiple cropping 
> Intercropping > Patch ~, and 
  
B.1.4 » Extraction / Collection 2 Yes 2 Mix of hunting 
and vegetation exploitation, and 
F0 » Recreation and tourism > none, and 
2 » Cultivation factor (R) > R < 33%, and 
K.1 + Main power source for tillage > manual power 
only, and 
L.1 * Material inputs > low. 
Context Classifiers 
cA.0 Tenancy arrangenrents / Land rights > Taken in 
possession, and without a secure title, and 
cB.0 * Connectivity 2 poor, and 
cF.0 + Market orientation - subsistence, and 
cG.1 * Capital intensity > low, and 
cl.0 + Secondary Infrastructure requirements > none. 
  
  
  
  
A land use classification system was defined as: "A structured 
set of land use class definitions." Most land use classification 
systems are hierarchically structured and obey the following 
rules: 
e The defined land use classes are mutually exclusive at 
each level, and 
* Classes at sub-levels are a further specification of a class 
at a higher level. 
A-priori versus a-posteriori land use classification 
*  A-priori classification 
implies that land use classes are defined before collecting 
the actual data. Classifiers used are based on expert knowl- 
edge, study objectives, or conform to classes defined by 
international organizations, national institutions etc. The 
main advantage of a-priori systems is that classes are 
standardized. Assigning class names to land use descrip- 
tions is called "identification" (Sokal 1974). 
* — A-posteriori classification 
means that land use classes are defined using classifiers 
that are based on (analysis of) data collected. The advan- 
tage is that classifiers can be defined that fit recorded 
study results. 
Harmonizing classifiers 
The growing demand for global assessment of land use (possi- 
bilities) generated a need for a universal classification system. 
Many attempts to develop a comprehensive classification sys- 
tem have been made (e.g. IGU 1949; UNEP/FAO 1994), Fresco 
et al. (1996) concluded that: “Yet, there is no satisfactory and 
commonly accepted method of defining and classifying land 
use globally, let alone a definition of the major classes of land 
use as such. This situation thwarts the systematic collection of 
data pertinent to use classification”. 
Development of a comprehensive classification system for land 
use is still far away. Earlier efforts were all discontinued, and 
there is growing recognition that different land use studies re- 
quire different classification systems pending on set objectives, 
areas studied, and methods followed. For example: if remotely 
sensed images are used to map land use, classifiers used are 
strongly correlated with land cover whereas land use studies 
that center around farming system analysis will rather base their 
class definitions on land use purpose(s), labour inputs, etc. Each 
study can independently select the level at which a particular 
classifier is used, e.g. 'irrigated' can be a classifier at the highest 
level, or at any lower level, or can simply not be used. 
If one universal classification system is a practical impossibil- 
ity, then the problem remains that many classification systems 
remain in use with different classifiers at different levels. Stan- 
dardization of land use classifiers would allow correlation of 
land use classes used in different studies. This standardization 
would keep the possibility to prepare user-defined classification 
systems open and not compromise the possibility to compare 
existing classification systems. It would then be possible to 
cross-tabulate different sets of land use classes to study their 
mutual (dis-) agreement. 
The various criteria used around the globe to define classes 
form the basis to adopt an actual 'reference system'. They are 
the 'bridge' that can be used to compare and translate defined 
classes; it is thus essential that the criteria used are documented 
and existing classification systems are studied to define the 
'basic set' of criteria. 
6. FINAL STATEMENTS 
This article discussed IT aspects that relates to gathering and 
using land use information for sustainability studies of (agricul- 
tural) land use systems. The “root concept” requires an interdis- 
ciplinary approach. Some factors that complicate the interdisci- 
plinary IT developments are: 
 
	        
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