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Predicting Tree Felling Direction Using Path Distance Back Link in Geographic Information Systems (GIS)

  • Rhyma Purnamasayangsukasih Parman (Department of Forestry Science & Biodiversity, Faculty of Forestry and Environment, Universiti Putra Malaysia) ;
  • Mohd Hasmadi, Ismail (Department of Forestry Science & Biodiversity, Faculty of Forestry and Environment, Universiti Putra Malaysia) ;
  • Norizah Kamarudin (Department of Forestry Science & Biodiversity, Faculty of Forestry and Environment, Universiti Putra Malaysia) ;
  • Nur Faziera Yaakub (Department of Forestry Science & Biodiversity, Faculty of Forestry and Environment, Universiti Putra Malaysia)
  • 투고 : 2023.04.14
  • 심사 : 2023.09.20
  • 발행 : 2023.12.31

초록

Directional felling is a felling method practised by the Forestry Department in Peninsular Malaysia as prescribed in Field Work Manual (1997) for Selective Management Systems (SMS) in forest harvesting. Determining the direction of tree felling in Peninsular Malaysia is conducted during the pre-felling inventory 1 to 2 years before the felling operation. This study aimed to predict and analyze the direction of tree felling using the vector-based path distance back link method in Geographic Information Systems (GIS) and compare it with the felling direction observed on the ground. The study area is at Balah Forest Reserve, Kelantan, Peninsular Malaysia. A Path Distance Back Link (spatial analyst) function in ArcGIS Pro 3.0 was used in predicting tree felling direction. Meanwhile, a binary classification was used to compare the felling direction estimated using GIS and the tree felling direction observed on the ground. Results revealed that 61.3% of 31 trees predicted using the vector-based projection method were similar to the felling direction observed on the ground. It is important to note that dynamic changes of natural constraints might occur in the middle of tree felling operation, such as weather problems, wind speed, and unpredicted tree falling direction.

키워드

과제정보

We would like to thank Kompleks Perkayuan Kelantan Sdn. Bhd. for providing transportation to the study site and assisting with the data collection.

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