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Item Metadata only Geo-informatics for rice grain yield estimation in Ladlumkaew district, Patumthani province(Mahidol University. Mahidol University Library and Knowledge Center, 2008) Rungrudee Chulasak; Charlie NavanugrahaPublication Metadata only Change detection and identification of land potential for planting Krajood (Lepironia articulata) in Thale Noi, Southern Thailand(2012-05-01) Jitnapa Wunbua; Kanchana Nakhapakorn; Supet Jirakajohnkool; Faculty of Environment and Resource Studies, Mahidol University; Thammasat Universityand rice paddies, covering a total area of 4.27 square kilometres. GIS and remote sensing were found to be very useful for identifying land use changes and potential areas for planting Lepironia articulata.... considered the opportunity to identify appropriate areas for planting Lepironia articulata. Geographic information system (GIS) and remote sensing were integrated to map land use changes in 1990, 1998 and 2006 in the Thale Noi area. The study found that fromPublication Metadata only Emission of air pollutants from rice residue open burning in Thailand, 2018(2018-11-15) Agapol Junpen; Jirataya Pansuk; Orachorn Kamnoet; Penwadee Cheewaphongphan; Savitri Garivait; Faculty of Environment and Resource Studies, Mahidol University; National Institute for Environmental Studies of Japan; Thailand Ministry of Education; King Mongkut s University of Technology Thonburithe level of air pollutant emissions caused by the rice residue open burning activities in 2018, by analyzing the remote sensing information and country specific data. This research also aims to analyze the trend of particulate matter 10 microns or less... in diameter (PM10) concentration air quality sites in provinces with large paddy rice planting areas from 2010-2017. According to the results, 61.87 megaton (Mt) of rice residue were generated, comprising 21.35 Mt generated from the irrigated fields and 40Publication Metadata only The encroachment of rubber plantation and the risk of the spread out of rice bug in Phatthalung province, Southern Thailand(2013-01-01) Anisara Pensuk Tibkaew; Tharnsawat Pimsen; Romanee Thongdara; Thaksin University; Mahidol UniversityThis research was studied in the relationship of factors affecting the spread out of the rice bug by developing the mathematic equation in order to estimate the rice bug spread risk. The household and field survey showed that the weed on rubber... plantation is one of the important factors as the bug use for their habitat. Therefore, the distance from rubber plantation plays an important role on the severity of the spread out and the outbreak of the rice bug. The mathematic equation expressesPublication Open Access Assessment of Urban Heat Island Patterns in Bangkok Metropolitan Area Using Time-Series of LANDSAT Thermal Infrared Data(2019) Warisara Sanecharoen; Kanchana Nakhapakorn; Aeumphorn Mutchimwong; Supet Jirakajohnkool; Rattapon Onchang; Mahidol University. Faculty of Environment and Resource Studies; Thammasat University. Faculty of Science and Technology,; Silpakorn University. Faculty of ScienceBangkok is a rapidly expanding city with existing natural areas being replaced by developed areas creating an urban heat island (UHI) phenomenon in the city. LANDSAT imagery, near-infrared wavelength data, and time series information were used to study and to monitor the phenomenon of surface urban heat island (SUHI) in Bangkok. The variation of land surface temperature (LST) and the urban heat island intensity (UHII) phenomenon during 2008-2014were investigated and the relationship between the UHII phenomenon and urban sprawl in Bangkok was studied. Using the UHII, we compared nine LST images of the investigated areas defined as inner, urban fringe and suburb zones. The UHI in Bangkok in the winter (dry) is higher than in the summer. Satellite imageries were used to classify the land use types asopen spaces with high-rise buildings, very high density of buildings and high-rise buildings. Low vegetation index was found in urban fringe areas and inner city area with high surface temperature. The vegetation index value is high in areas of agricultural land, and low density building, it appears in suburb areas with low surface temperature. The results indicate that NDVI and High-rise building zones influence LST distribution and UHII phenomenon.Item Metadata only Assessment of mosquito species communities biting humans and their livestock in the forest hills of Karen state, Myanmar: a cross-sectional survey in six villages(2026-12-01) Chaumeau V.; Kularbkeeree T.; Gloria N.; Jaruwan N.; Sawasdichai S.; Pateekhum C.; Girond F.; Herbreteau V.; Nosten F.; Chaumeau V.; Mahidol Universitythrough remote sensing. The analysis of biting times was performed with circular statistics. Species co-occurrence patterns and the effects of environmental variables on species abundance were assessed with a generalized linear latent variable model... breed in shallow, stagnant or slow-moving water, such as marshes, swamps, rice fields and the margins of streams and puddles. These species were negatively associated with elevation, slopes and forests and positively associated with grasslands, shrubsPublication Open Access Geographic information system for risk area assessment on natural gas pipeline construction in Nakhon Nayok Province(2010-04) Ponson Chernkwansri; Sura Pattanakiat; Charlie Navanugraha; Mahidol University. Faculty of Environment and Natural Resource StudiesThe objective of this study is to identify potential risk areas caused by the pipeline construction project in Nakhon Nayok province. The potential surface analysis was employed for the manipulation process using critical factors including soil drainage, clay minerals, soil texture, slope, relative humidity, air quality index, distances from bodies of water, roads, and the pipeline. The evaluation of weighting and rating scores has been proposed by experts using 2 main methods, including scaling and hierarchical methods. The risk areas have been divided into high, moderate and low levels. The outputs of these two methods are compared. It was found that the risk areas identified by the scaling method consist of high risk areas of 316.69 square kilometers (14.77%), moderate risk area of 1,523.05 square kilometers (71.04%), and low risk areas of 304.12 square kilometers (14.19%). Meanwhile, the risk areas evaluated by the hierarchical method consist of high risk areas of 219.47 square kilometers (10.24%), moderate risk areas of 1,839.05 square kilometers (85.78%), and low risk areas of 85.34 square kilometers (3.9%). The comparison of those two methods using the Kappa index has shown the value of 0.66. Thus, those two methods were only in the relation of 66 %. The assessment on land utilization within the high risk areas was analyzed based on the output of the scaling method with larger high risk areas. The land use patterns found in the high risk area include the following areas agriculture of 200.50 square kilometers (63.31%), urban of 74.71square kilometers (23.59%), forest of 5.35 square kilometers (1.69%), water bodies 20.71 square kilometers (6.54%), and others 15.42 square kilometers (4.87%). The purpose of this study was to apply the Geographic Information System for to identify potential risk areas. Geographic Information System (GIS) are a set of computer tools for collecting, storing, transforming and displaying spatial data from the real world.Publication Open Access Effect of population dynamics and mechanization on agricultural land use: evidence from Nang Rong, Thailand(2013-01) Piyawat Katewongsa; ปิยวัฒน์ เกตุวงศา; Yothin Sawangdee; โยธิน แสวงดี; Stephen J. Walsh; Aphichat Chamratrithirong; อภิชาติ จำรัสฤทธิรงค์; Mahidol University. Institute for Population and Social Research,255 households. The results show that population dynamics continuously influenced agricultural land use. Migration was the most influencing factor among population dynamic indicators; it had negative effects on land use for rice and field crops, but positive... effects on multiple and rotation crops. Death events had some negative effects on land use for field crops, while in-migration had positive effects on rice growing. Agricultural machinery factors produced a great influence on land use changes both in termsPublication Open Access Influences of population dynamics on agricultural land use in rural northeastern Thailand: a case study in Nang Rong district(2007-01) Thanut Wongsaichue; Yothin Sawangdee; โยธิน แสวงดี; Rindfuss, Ronald R.; Boonlert Leoprapai; Mahidol University. Institute for Population and Social ResearchThis is a population study that examines the role of population dynamics,such as fertility, mortality, and out-migration in rural households on agricultural land use. The data of the Nang Rong Projects in 1994-2000 were used for research. The results show that population events which occur in the household affect decisionmakings on utilization of land for agriculture. For example, as results show, a death event in the household reduces the probability of agricultural land use, as does an outmigration event. The focus is on household factors, comprising family size,number of labor in household, mean age of labor, number of facility items, age of household head,percentage of agricultural occupation in household, land owned, and number of sibling networks. When household factors are controlled, the results show a pattern of agricultural land use in rural areas following a single population event or several simultaneous events.Publication Open Access Malaria ecology along the Thailand– Myanmar border(2015) Parker, Daniel M.; Carrara, Verena I; Sasithon Pukrittayakamee; Rose McGready; Nosten, François H.; Mahidol University. Faculty of Tropical Medicine. Mahidol-Oxford Tropical Medicine Research Unit. This article offers an ecological perspective on the malaria situation along the Thailand–Myanmar border. Discussion: This border region is long (2000 km), mountainous, and the environment ranges from thick forests to growing urban settlements and wet-rice