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Synergistic day-night multi-modal framework for offshore gas flare detection using SDGSAT-1 in the Southeast Asian Seas

文献类型：期刊论文

作者Zhang, Kunlong1,2; Fu, Dongjie1,3; Tang, Jiasheng1,3; Zhang, Bingyue1,3; Su, Fenzhen1,3
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2026-05-01
卷号337页码:115337
关键词Gas flaring Offshore oil and gas platforms SDGSAT-1 Sentinel-2 Southeast Asian Seas
ISSN号0034-4257
DOI10.1016/j.rse.2026.115337
产权排序2
文献子类Article
英文摘要Gas flaring (GF), a significant source of greenhouse gases, poses a challenge to satellite monitoring due to the trade-off between the low spatial resolution of nighttime observations and the low signal-to-noise ratio (SNR) of daytime data. This limitation results in notable omissions in global flare inventories, particularly for small-scale, intermittent, or clustered offshore flares. To address this, we introduce a Day-Night Synergistic Gas Flaring Detection (DNSGFD) framework, leveraging the synchronous, multi-sensor capabilities of the Sustainable Development Science Satellite 1 (SDGSAT-1). The framework's core strategy, nighttime discovery and daytime confirmation, is uniquely enabled by our proposed Glimmer-enhanced Flare Disturbance Index (GFDI), which fuses thermal, glimmer, and chromatic information from a single nighttime pass to pinpoint high-confidence candidates. Applied to the Southeast Asian Seas, our framework identified 317 offshore gas flaring platforms (GFPs) with an overall accuracy of 96.6%. Cross-validation against benchmark datasets underscores its superior performance: DNSGFD successfully identified 96.9% of the platforms listed in the DAFI v2 inventory, detected 169 GFPs unresolved by the VIIRS Nightfire product, and cataloged 193 previously unrecorded sites. By systematically integrating the high SNR of nighttime sensing with the fine spatial detail of daytime imaging, our methodology establishes a more complete, accurate, and physically robust foundation for global flare inventories.
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WOS关键词ACTIVE FIRE DETECTION ; EMISSION ; ATSR
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001706385100001
出版者ELSEVIER SCIENCE INC
源URL[http://ir.igsnrr.ac.cn/handle/311030/221273]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Fu, Dongjie
作者单位1.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
2.China Univ Geosci Wuhan, Sch Geog & Informat Engn, Wuhan 430078, Peoples R China;
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Kunlong,Fu, Dongjie,Tang, Jiasheng,et al. Synergistic day-night multi-modal framework for offshore gas flare detection using SDGSAT-1 in the Southeast Asian Seas[J]. REMOTE SENSING OF ENVIRONMENT,2026,337:115337.
APA Zhang, Kunlong,Fu, Dongjie,Tang, Jiasheng,Zhang, Bingyue,&Su, Fenzhen.(2026).Synergistic day-night multi-modal framework for offshore gas flare detection using SDGSAT-1 in the Southeast Asian Seas.REMOTE SENSING OF ENVIRONMENT,337,115337.
MLA Zhang, Kunlong,et al."Synergistic day-night multi-modal framework for offshore gas flare detection using SDGSAT-1 in the Southeast Asian Seas".REMOTE SENSING OF ENVIRONMENT 337(2026):115337.

入库方式： OAI收割

来源：地理科学与资源研究所

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