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Classification of Degraded Peat Swamp Forest for Restoration Planning at Landscape Level Using Remote Sensing Technique

초록

영어

Malaysia possesses about 1.56 million ha of Peat Swamp Forest (PSF). The PSF safeguard enormous biological diversity, while providing crucial benefits for the sustainable development of human communities. Numbers of threatened plant species are associated with the PSF, including the commercially important Gonystylus bancanus timber. To prevent significant losses of biodiversity, it is important to manage the PSF for both biological conservation and sustainable use. Equally important is to restore all degraded PSF in an attempt to ensure the PSF ecosystem is suitable for the vegetation to grow and rehabilitate back to the normal condition. Prior to plan any forest restoration program, there is a need to properly map the degraded PSF in order to estimate the forest conditions and determine the vegetations status. Most of the time this need to be done at a landscape level and requires a technology that can provide accurate, timely and reliable information for the planner to make decision. This paper describes a study using geospatial technology in combination with ground survey to classify the degraded PSF in South East Pahang Peat Swamp Forest (SEPPSF), Malaysia, into different degree of vegetation classes. With map accuracy of about 83%, the technique proved to be useful in delineating the different degree of PSF degradation from which the information can be used to properly plan forest restoration program in the area. The final output which is in the form of map can be used in developing a Restoration Master Plan for the degraded PSF areas.



목차

Abstract
 Introduction
 Materials and Methods
  Styudy area
  Rainfall
  Vegetation
  Data analysis
  Ground truth survey
  Supervised classification
 Results
  NDVI
  Unsupervised classification
  Ground truth survey
  Supervised classification
  Accuracy assessment
 Discussion
  Forest restoration planning
 Conclusion
 References

저자정보

  • Khali Aziz Hamzah Forest Research Institute Malaysia, Kepong Selangor 520109, Malaysia
  • Azahan Shah Idris Forest Research Institute Malaysia, Kepong Selangor 520109, Malaysia
  • Ismail Parlan Forest Research Institute Malaysia, Kepong Selangor 520109, Malaysia

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