{"title":"从卫星数据看土地利用检查技术对地表温度的影响","authors":"","doi":"10.59018/032451","DOIUrl":null,"url":null,"abstract":"This research aims to present a land use inspection technique that affects land surface temperature from satellite\ndata by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2\nSatellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface\ntemperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface\ntemperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite\nfound the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land\nsurface temperature in other areas of the countryThis research aims to present a land use inspection technique that affects land surface temperature from satellite\ndata by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2\nSatellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface\ntemperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface\ntemperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite\nfound the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land\nsurface temperature in other areas of the country.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Land use inspection technique affects land surface temperature from satellite data\",\"authors\":\"\",\"doi\":\"10.59018/032451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aims to present a land use inspection technique that affects land surface temperature from satellite\\ndata by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2\\nSatellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface\\ntemperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface\\ntemperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite\\nfound the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land\\nsurface temperature in other areas of the countryThis research aims to present a land use inspection technique that affects land surface temperature from satellite\\ndata by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2\\nSatellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface\\ntemperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface\\ntemperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite\\nfound the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land\\nsurface temperature in other areas of the country.\",\"PeriodicalId\":38652,\"journal\":{\"name\":\"ARPN Journal of Engineering and Applied Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARPN Journal of Engineering and Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59018/032451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARPN Journal of Engineering and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59018/032451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Land use inspection technique affects land surface temperature from satellite data
This research aims to present a land use inspection technique that affects land surface temperature from satellite
data by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2
Satellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface
temperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface
temperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite
found the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land
surface temperature in other areas of the countryThis research aims to present a land use inspection technique that affects land surface temperature from satellite
data by using Maha Sarakham province, Thailand as a case study. Procedures: 1) Analyze land use from Sentinel-2
Satellite data that can be divided into 4 categories such as water, agriculture, forest, and urban, 2) Analyze land surface
temperature from Sentinel-3 Satellite data. The study results found that urban area has the highest average surface
temperature followed by forest area, water area, and agricultural area respectively. The analyzed data from the satellite
found the highest average surface temperature is 32.20°C. The result shows that this inspection technique can analyze land
surface temperature in other areas of the country.
期刊介绍:
ARPN Journal of Engineering and Applied Sciences (ISSN 1819-6608) is an online peer-reviewed International research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology. All research articles submitted to ARPN-JEAS should be original in nature, never previously published in any journal or presented in a conference or undergoing such process across the globe. All the submissions will be peer-reviewed by the panel of experts associated with particular field. Submitted papers should meet the internationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing. Our mission is -In cooperation with our business partners, lower the world-wide cost of research publishing operations. -Provide an infrastructure that enriches the capacity for research facilitation and communication, among researchers, college and university teachers, students and other related stakeholders. -Reshape the means for dissemination and management of information and knowledge in ways that enhance opportunities for research and learning and improve access to scholarly resources. -Expand access to research publishing to the public. -Ensure high-quality, effective and efficient production and support good research and development activities that meet or exceed the expectations of research community. Scope of Journal of Engineering and Applied Sciences: -Engineering Mechanics -Construction Materials -Surveying -Fluid Mechanics & Hydraulics -Modeling & Simulations -Thermodynamics -Manufacturing Technologies -Refrigeration & Air-conditioning -Metallurgy -Automatic Control Systems -Electronic Communication Systems -Agricultural Machinery & Equipment -Mining & Minerals -Mechatronics -Applied Sciences -Public Health Engineering -Chemical Engineering -Hydrology -Tube Wells & Pumps -Structures