Geographic Information System: Least Cost Path Analysis for Oil Palm Plantation

Publication Date : 07/02/2018

Author(s) :

A.D. Rasydan Ahmad, A. Ahmad Fikri, M.K. Muhamad Saufi.

Volume/Issue :
Volume 1
Issue 1
(02 - 2018)

Abstract :

Oil palm industry is one of the major contributor to Malaysia’s economy. Good oil palm management is needed to sustain the industry. One of the main factor to ensure good oil palm management is oil palm replanting. It is essential in improving oil palm production and cost efficiency. The vital elements in oil palm replanting are optimal agriculture road network and improvement of planting management. Development of optimal agriculture road network is important to ensure the effectiveness of fresh bunches collection. The aim of this study is to design optimal agriculture road based on elevation and slope parameter. Hence, it will improve the planting management and give benefits to the management in preparing the budgets and new contracts for a new oil palm plantation. Digital elevation models (DEMs) resulting from Interferometric Synthetic Aperture Radar (IfSAR) is used to generate a slope map. Combining elevation map, slope map and land use map, a Least Cost Path Analysis (LCPA) is developed to find optimal agriculture road network. It is a distance analysis tools within Geographic Information System (GIS) that create path between two locations that costs the least to those travelling along it, thus determine the most cost-effective route between a source and destination. From the results, it showed that road path produced from LCPA was shorter and away from unnecessary slope and elevation. Road profiles such as elevation, slope, and length were analysed, and it clearly showed that LCPA has potential and played an important role in modelling of oil palm plantation road allocation efficiently and reduced time consuming. The New Road model facilitates shorter displacement, less undulating elevation and declining in slope compare to the existing road.

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