The increasing application of remote sensing for mangrove mapping and monitoring is practical for sustainable management of the biological resources. Over the past few decades, the emergence of several vegetation indices (VIs) has certainly given significant impacts on mangrove and other forest mappings. In this study, five different vegetation indices including Normalized Different Vegetation Index (NDVI), Simple Ratio (SR), Soil Adjusted Vegetation Index (SAVI), Perpendicular Vegetation Index (PVI) and Triangular Vegetation Index (TVI) were compared to discover a suitable vegetation index for identifying mangrove area in Pa Khlok sub-district, Phuket, Thailand. THEOS imagery with 15-m resolution from 2010 was utilized. Maximum Likelihood Classifier (MLC) was used to classify Mangrove and Non-Mangrove area. The results demonstrated that the best accuracy (96.78%) was from combination between 4 THEOS's spectral bands and some vegetation indices including NDVI, SR and SAVI.

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This study investigated the effects of demographic factors on the employment of people in Pattani and Songkla Provinces of Thailand. The outcome variable is binary employment status (employed or unemployed). The determinant variables are education completion level (none, elementary, secondary, high) and the demographic factors gender, religion (Islam or Other), seven 5-year age groups (25-29 to 54-59), and district. We used data from the 2000 Census of the National Statistical Office. The analysis method involved first stratifying by religion, gender and district and then fitting logistic regression models in each stratum to determine odds ratios for the association between the outcome and the education completion level factor after adjusting for age group, and then combining these odds ratios using meta-analysis to obtain the overall independent association between education completion and unemployment in each province. The results showed that in Songkla province persons who had completed secondary education had no advantage in gaining employment over those who had completed only elementary education. And in Pattani province, those who had completed secondary education had a substantially higher unemployment rate than those with only an elementary education.