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 
  
The project has started on year 2001 and shall be completed by 
2007. 
2.1 Conceptual design of the research 
Conceptually, the research includes three main components as 
presented in Figure 2. In the following each elements are 
briefly explained. 
Development of sustainable forest management mode: 
For the last thirty years, forest administration in Indonesia had 
been highly centralized, with the Ministry of Forestry in Jakarta 
making the strategic and operational decisions about how the 
nation's forest estate would be managed. This top-down 
approach has been ineffective in securing sustainable forest 
management. ‘Sustainability’ has remained a paper exercise. 
With Indonesia's ongoing processes of decentralization and 
regional autonomy, significant degrees of authority over forest 
administration have been and are being transferred to the 
provincial and district governments. In some areas, this shift 
has intensified pressures on forests, while in other areas it has 
made local government decision-making more responsive to 
communities whose livelihoods depend on forest resources. On 
this basis, to be realistic before any information system designs 
a revisit and redesign of the management process is necessary. 
In this context, the concepts of ACM as developed and applied 
in CIFOR, the concept of joint forest management, together 
with the concepts “Model Forest” developed and applied in the 
International Forest Network will be employed to build the 
collaborative sustainable forest management model. The 
adopted should respond to socio-economic and institutional 
issues and the demand by local communities to improve their 
well-being and livelihood through forest management. 
Development of Monitoring and evaluation systems: To 
support management of the concession as well as acting as a 
source of information for all the externals, such as the 
government agencies, Ngo's and mandatory and voluntary 
certification systems a monitoring and evaluation system will 
be designed and implemented. In this context, the concepts and 
methods of Structured System Development Methodology, 
participatory mapping and data collection, participatory GIS 
and analysis of remotely sensed data will be applied. 
Development of forest certification system: Based on the 
structure and flow of information in accordance with the 
developed management model and its related monitoring and 
evaluation system, a Decision Support System for Certification 
will be developed and evaluated. This system will support 
Mandatory and Voluntary certification process as required by 
the Indonesian authorities and the international communities. 
The system shall allow selection of appropriate sets of 
indicators, identify the methods of assessment, and allow multi- 
criteria judgment to be integrated to support a final decision or 
assessment of SFM and sustainable products. In this process, 
the potential application of GIS and remote sensing techniques, 
especially the potential of new data collection platforms 
(satellite systems) together with decision support systems 
theory will be explored in order to improve the assessment of 
sustainability in the Tropical Rain Forest. In the process of 
building spatial decision support system for certification, the 
related theories and applications of multiple criteria decision 
making process, especially the application of fuzzy set theory 
to model and apply the linguistic variables, together with the 
related methods of rule-based and knowledge based systems 
will be explored and applied. This shall allow formative 
349 
(process) evaluation for management improvement and 
progress monitoring, as well as summative (product) evaluation 
for certification 
The related, models, techniques, and methodology will be 
developed and evaluated in a typical forest production 
concession. For this purpose, two potential sites are suggested, 
the Labanan forest concession, which is managed by PT. 
Inhutani I (a government owned concession company), and the 
TROPENBOS research site in East Kalimantan, Indonesia. 
Depending on the results of further study and discussions, the 
research can be carried in one of the two or both sites. The 
Labanan forest concession has been used as a pilot area by 
BFMP for improving the local forest management as of 1996, 
and possess rich amounts of historical data sets. The Labanan 
concession is located in a lowland dipterocarp, and consists of 
around 100,000 ha of production forest, which has been 
managed for production forestry since 1974 and has shows 
considerable re-growth. Forest growth has been scientifically 
monitored. 
3. PROGRESS 
So far sixteen MSc students have completed their research in 
the framework of this project. They have mainly focused on 
various aspects of certification model that has been developed 
and implemented by Indonesian Ecolabelling Institute (LEI, a 
none government organization) for natural production forest 
(SNPFM). As a result of the research activities, the main issues 
related to certification and the ways that Geo-information and 
decision-science can support the process are explored. In the 
following some of the issues related to various elements of 
forest certification, mainly, decision-making process, 
operational aspects and potential role of remote sensing and 
GIS application in certification process are presented. 
3.1 Decision-making process 
The issue related to decision-making process could be classified 
in three groups. The first issue is multicriteria evaluation 
(MCE) criteria structure (Figure 1) that has been determined 
according to an assumed sustainable forest management model. 
The second issue is the need to making sure those decision- 
makers and adequately understanding both issues of forest 
management aspect and decision-making procedures. The third 
issue is the need to analyse whether the compensatory decision 
strategy is appropriate for such decision problem where there is 
a feedback from bad performance of certain indicator, which 
can be compensated by the good one, to the achievement of the 
objective of higher elements in MCE hierarchy. 
Decision strategies can be categorised by how they approach 
conflicts, use or process information, or deal with other issues 
in decision-making such as complexity and uncertainty 
(Rosenberger, 2001).  Employing AHP model in SNPFM 
decision-making process to obtain the best choice of 
alternatives compared, which are the acceptable or passing 
grade performance with the actual performance, means 
allowing compensation of bad performance indicators by good 
indicators because AHP designed as compensatory model. That 
SNPFM decision model also can be regarded as a linear 
dimension model, which Hogart, (1987) in Rosenberger, (2001) 
assumes that each dimension can be measured on a scale and 
given a weight reflecting its relative importance. The evaluation 
of each alternative is then the sum of the weighted values on all 
dimensions. 
 
	        
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