标题：Identification of High Conservation Value Forest (hcvf) in Natural Production Forest to Support Implementation of Sfm Certification in Indonesia Using Remote Sensing and Gis
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B7
页码：164-169
出版社：Copernicus Publications
摘要：Indonesian forests are in critical situation. Very high rate of forest degradation resulted from unsustainable forest management, rampant illegal logging, forest area encroachment, conversion and natural disaster, i.e. fire, all together urges rapid improvement of management system of Indonesia's forest resources. Forest certification is one tool that can support the achievement of sustainable forest management goal. Under current operation of Joint Certification Protocol between FSC and LEI in Indonesia, forest management units must be able to show the required (process and) performance indicated in LEI Criteria and Indicators as well as FSC Principles and Criteria to attain certification of their products. Nevertheless, the gap between current practices and performance required by forest certification schemes is still enormous. The management of High Conservation Value Forest is one of FSC principles for sustainable forest management. However, some difficulties were found when forest management unit tries to identify the HCVF, since the definition, terms and available guideline for HCVF identification are necessarily generic and global. Therefore, this study tries to implement a detailed method for identification of High Conservation Value Forest (HCVF) in a natural production forest using remote sensing and GIS
