Optical and radar remote sensing data for forest cover mapping in Peninsular Malaysia

This study aims to map forest cover in Peninsular Malaysia using satellite images as deforestation is of concern in the recent decades, and is an important environmental issue for the future too. The Carnegie Landsat Analysis System-Lite (CLASlite) program was used in this study to detect forest cover in Peninsular Malaysia using Landsat satellite data. The results of the study show that CLASlite algorithm misclassified some oil palm, rubber and urban areas as forest vegetation. A reliable forest cover map was produced by first combining Landsat and ALOS PALSAR images to identify oil palm, rubber and urban areas, and then subsequently removing them. The HH and HV polarization data of ALOS PALSAR (threshold method) could detect oil palm plantations with 85.26 per cent of overall accuracy. For urban area detection, Enhance Build up Index (EBBI) using spectral bands from Landsat provided higher overall accuracy of 94 per cent. These methods produced a forest cover reading of 5 914 421 ha with an overall classification accuracy of 94.5 per cent. The forest cover (including rubber areas) detected in this study is 0.38 per cent higher than the percentage of 2010 forest cover detected by the Forestry Department of Peninsular Malaysia. The technique described in this paper presents an alternative and viable approach for updating forest cover maps in Malaysia

The Use of DEM-Based Approaches to Derive a Priori Information on Flood-Prone Areas

Knowing the location and the extent of areas exposed to floods is the most basic information needed for planning flood management strategies. Unfortunately, a complete identification of these areas is still lacking in many countries. Recent studies have highlighted that a significant amount of information regarding the inundation process is already contained in the structure and morphology of a river basin. Therefore, several geomorphic approaches have been proposed for the delineation of areas exposed to flood inundation using DEMs. Such DEM-based approaches represent a useful tool, characterized by low cost and simple data requirements, for a preliminary identification of the flood-prone areas or to extend flood hazard mapping over large areas. Moreover, geomorphic information may be used as external constraint in remote-sensing algorithms for the identification of inundated areas during or after a flood event

Evaluation of the suitability of sites for outdoor recreation using a multi-criteria assessment model

WOS: 000443447900004The determination of the suitability of a site for recreation is a complex process that requires the integration of several criteria. The main aim of the current study carried out in the Egirdir district of southern Turkey was to determine the most suitable zones for outdoor recreation by applying new methodological approach. Large volumes of spatial data and multiple criteria were assessed simultaneously by utilising the linear combination technique and a hierarchical analysis in association with GIS to rank the suitability of a mosaic of contiguous, semi-natural sites for outdoor recreation. According to obtained results, 33.1% was deemed very suitable or suitable for outdoor recreational activities, whereas 25.8% was determined as less suitable and 41.1% not suitable for outdoor recreation place in the study area. In addition, in order to investigate temporal changes in human activities, land use and land cover detection analysis was performed for the period 1988 to 2016 inclusive. The number of potential recreational sites increased over time, based on the increased amount of forested and grassed areas. On the other hand, increasing artificial area and decreasing shrub lands caused reduction of the potential recreational sites during the 28-year period