Jun Hu, Shunji Kotsuki, Yasunori Igarashi, Ziping Yang, Mykola Talerko, Olga Tischenko, Valentin Protsak, Serhii Kirieiev
{"title":"无需调整的中等规模烧毁区检测算法--切尔诺贝利污染区案例研究","authors":"Jun Hu, Shunji Kotsuki, Yasunori Igarashi, Ziping Yang, Mykola Talerko, Olga Tischenko, Valentin Protsak, Serhii Kirieiev","doi":"10.1080/01431161.2024.2331976","DOIUrl":null,"url":null,"abstract":"The predefined threshold is one of the main fundamental and methodological challenges underlying the uncertainty and delayed release of existing burned area (BA) products. To improve the accuracy a...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"8 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A tuning-free moderate-scale burned area detection algorithm — a case study in chornobyl-contaminated region\",\"authors\":\"Jun Hu, Shunji Kotsuki, Yasunori Igarashi, Ziping Yang, Mykola Talerko, Olga Tischenko, Valentin Protsak, Serhii Kirieiev\",\"doi\":\"10.1080/01431161.2024.2331976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The predefined threshold is one of the main fundamental and methodological challenges underlying the uncertainty and delayed release of existing burned area (BA) products. To improve the accuracy a...\",\"PeriodicalId\":14369,\"journal\":{\"name\":\"International Journal of Remote Sensing\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/01431161.2024.2331976\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/01431161.2024.2331976","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
A tuning-free moderate-scale burned area detection algorithm — a case study in chornobyl-contaminated region
The predefined threshold is one of the main fundamental and methodological challenges underlying the uncertainty and delayed release of existing burned area (BA) products. To improve the accuracy a...
期刊介绍:
The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include:
• Remotely sensed data collection, analysis, interpretation and display.
• Surveying from space, air, water and ground platforms.
• Imaging and related sensors.
• Image processing.
• Use of remotely sensed data.
• Economic surveys and cost-benefit analyses.
• Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).