Abstract
Abstract. Tropical forest degradation is a global concern since most deforestation study supports that the region seems to suffer a great loss in the recent decades. The main objective of this paper is to evaluate the forest dynamic in Rompin and Pekan district of Pahang state using satellite image and land use model. Pekan district has the biggest peat swamp forest (PSF) in Peninsular Malaysia and also covers with inland dipterocarp forest. The land use of study area was categorized using Maximum Likelihood Classification (MLC) and further analysed using Land Change Modeler (LCM). From the results, forest land use has a negative growth (15% net loss) in the last 25 years, mostly converted to other vegetation class with overall 45% loss and 20% gain. The PSF itself was continuously degraded during the 1990 to 2017 periods, with a total loss of more than 700 km2. This study demonstrates the forest land use exploitation and the needs to consider a details forest monitoring analysis to extract the actual contributors for this phenomenon. The role of Permanent Reserved Forest (PRF) seem likely to be taking effect since the deforestation only massively happen outside of the PRF and part of the disturbed area are being reforested.
Highlights
1.1 BackgroundTropical forest monitoring is on a high demand for its data and information since it has been one of the international goals and national commitments (Petersen et al, 2018)
The study area located in Rompin and Pekan (RomPek) district of Pahang state, western Peninsular Malaysia (Figure 1)
The area covers with majority of oil palm plantation, peat swamp forest (PSF), and inland dipterocarp forest
Summary
1.1 BackgroundTropical forest monitoring is on a high demand for its data and information since it has been one of the international goals and national commitments (Petersen et al, 2018). Sensed data are extensively used in forest land cover change mapping and as one of its main areas of application (Otukei and Blaschke, 2010). Satellite data and other remote sensing methods rapid development has enable better forest monitoring. The advance of this technology at the time has shown a wide spread applications of satellite imagery in many fields as a part of research tools. The basic principle of remote sensing involved types of data collected which can be of many forms such as variations in force distributions, acoustic wave distributions, or electromagnetic energy distributions. As in 2019, more satellite imageries with higher resolution have been developed to produce more clear view of the surface features and provide assist in time-series forest monitoring, but differ in accessibility, cost, and processing techniques
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