{"title":"基于红外遥感技术的柽柳林火险监测","authors":"Jin Wang, Ruiting Liu, Liming Liu, Xiaoxiang Cheng, Feiyong Chen, Xue Shen","doi":"10.3103/S0146411624700482","DOIUrl":null,"url":null,"abstract":"<p>In this study, the <i>Tamarix</i> <i>chinensis</i> forest in Changyi national marine ecological special protected area in Shandong province, China, was researched for forest fire monitoring based on thermal infrared remote sensing technology. We summarized the commonly monitoring methods for forest fire point based on remote sensing technology into two types: fixed threshold method (including its deformation model and extension model) and adjacent pixel analysis method (also known as background pixel correlation method). And we analyzed the advantages and disadvantages of these two methods. The BT (brightness temperature) data inverted from the remote sensing images of IRS sensor (HJ 1B satellite) and TIRS sensor (Landsat-8 satellite) indicated that there not had enough thermal radiation to form a fire point during the above phases in the protected zone. The research results and methods also confirmed that thermal infrared remote sensing technology can be used for forest fire monitoring and identification of macro forest fire point.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 4","pages":"359 - 365"},"PeriodicalIF":0.6000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fire Risk Monitoring of Tamarix chinensis Forest Based on Infrared Remote Sensing Technology\",\"authors\":\"Jin Wang, Ruiting Liu, Liming Liu, Xiaoxiang Cheng, Feiyong Chen, Xue Shen\",\"doi\":\"10.3103/S0146411624700482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this study, the <i>Tamarix</i> <i>chinensis</i> forest in Changyi national marine ecological special protected area in Shandong province, China, was researched for forest fire monitoring based on thermal infrared remote sensing technology. We summarized the commonly monitoring methods for forest fire point based on remote sensing technology into two types: fixed threshold method (including its deformation model and extension model) and adjacent pixel analysis method (also known as background pixel correlation method). And we analyzed the advantages and disadvantages of these two methods. The BT (brightness temperature) data inverted from the remote sensing images of IRS sensor (HJ 1B satellite) and TIRS sensor (Landsat-8 satellite) indicated that there not had enough thermal radiation to form a fire point during the above phases in the protected zone. The research results and methods also confirmed that thermal infrared remote sensing technology can be used for forest fire monitoring and identification of macro forest fire point.</p>\",\"PeriodicalId\":46238,\"journal\":{\"name\":\"AUTOMATIC CONTROL AND COMPUTER SCIENCES\",\"volume\":\"58 4\",\"pages\":\"359 - 365\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC CONTROL AND COMPUTER SCIENCES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0146411624700482\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411624700482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Fire Risk Monitoring of Tamarix chinensis Forest Based on Infrared Remote Sensing Technology
In this study, the Tamarixchinensis forest in Changyi national marine ecological special protected area in Shandong province, China, was researched for forest fire monitoring based on thermal infrared remote sensing technology. We summarized the commonly monitoring methods for forest fire point based on remote sensing technology into two types: fixed threshold method (including its deformation model and extension model) and adjacent pixel analysis method (also known as background pixel correlation method). And we analyzed the advantages and disadvantages of these two methods. The BT (brightness temperature) data inverted from the remote sensing images of IRS sensor (HJ 1B satellite) and TIRS sensor (Landsat-8 satellite) indicated that there not had enough thermal radiation to form a fire point during the above phases in the protected zone. The research results and methods also confirmed that thermal infrared remote sensing technology can be used for forest fire monitoring and identification of macro forest fire point.
期刊介绍:
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision