AI SearchApplications of remote sensing and GIS as a tool for forest management practice in Malaysia : a case of Batang Kali forest reserve in Ulu Selangor district
Call Number: AIT Thesis no.NR-91-03 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. NR-91-03Publication details: Bangkok : Asian Institute of Technology, 1991Description: 92 pSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1991 Summary: The study undertaken was aimed at examining the applicability of remote sensing and geographic information system for providing necessary information to be used in tropical rain forest management. Specifically it illustrated the usefulness of both remote sensing and GIS techniques in identifying appropriate logging area based upon defined criteria. Consequently, proper planning such as selecting suitable logging method to be used can be formulated based on the information. In addition to that it was discovered that by using remote sensing technique, it is possible to gather information on the extent and quality of the forest, specifically to differentiate between disturbed and highly degraded forest from undisturbed forest. Necessary action can then be taken to improve these forests, hence promoting them for future timber production.
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A thesis submitted in partial fulfillment of the requirement for the Degree of Master of Science, School of Environment, Resources and Development
Thesis (M.Sc.) - Asian Institute of Technology, 1991
The study undertaken was aimed at examining the applicability of remote sensing and geographic information system for providing necessary information to be used in tropical rain forest management. Specifically it illustrated the usefulness of both remote sensing and GIS techniques in identifying appropriate logging area based upon defined criteria. Consequently, proper planning such as selecting suitable logging method to be used can be formulated based on the information. In addition to that it was discovered that by using remote sensing technique, it is possible to gather information on the extent and quality of the forest, specifically to differentiate between disturbed and highly degraded forest from undisturbed forest. Necessary action can then be taken to improve these forests, hence promoting them for future timber production.
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