中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Burned area detection from a single satellite image using an adaptive thresholds algorithm

文献类型:期刊论文

作者Duan, Quan1,2; Liu, Ronggao1; Chen, Jilong1,2; Wei, Xuexin1,2; Liu, Yang1; Zou, Xin1,2
刊名INTERNATIONAL JOURNAL OF DIGITAL EARTH
出版日期2024-12-31
卷号17期号:1页码:2376275
关键词Burned area fire single image environment adaptive
DOI10.1080/17538947.2024.2376275
产权排序1
文献子类Article
英文摘要Burned area (BA) plays a pivotal role in fire management and the assessment of fire impact on earth-atmosphere system. Threshold-based segmentation from a single image is an efficient and operational method for detecting BA. However, the great diversity of fire conditions necessitates an adaptive threshold that considers environmental variations. This paper presents a maximum curvature segmentation method to capture the adaptative thresholds. The spectral contrasts in near-infrared (NIR) and shortwave infrared (SWIR) bands were utilized to distinguish BA. The decreased NIR threshold was employed to obtain the burned candidates, and the increased SWIR threshold was then applied to confirm the candidates. Experiments were conducted in different biomes, covering the boreal forest, tropical forest, savanna, and Mediterranean, and different seasons including growing and non-growing seasons. The thresholds changed in each tile, indicating the algorithm adapted the spatial and temporal variations. Comparison with the Burned Area Reference Database was performed at different biomes, resulting in overall dice coefficient (DC), omission error (OE), commission error (CE), and relative Bias (relB) being 0.86, 0.18, 0.10, and -0.08, respectively. The algorithm provides an avenue for adaptive detection of burned areas, and the single-image based approach can provide real-time burned information for wildfire management systems.
WOS关键词SPECTRAL INDEXES ; FIRE ; MAPPER ; TIME
WOS研究方向Physical Geography ; Remote Sensing
WOS记录号WOS:001270171300001
源URL[http://ir.igsnrr.ac.cn/handle/311030/206028]  
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Liu, Ronggao
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Duan, Quan,Liu, Ronggao,Chen, Jilong,et al. Burned area detection from a single satellite image using an adaptive thresholds algorithm[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024,17(1):2376275.
APA Duan, Quan,Liu, Ronggao,Chen, Jilong,Wei, Xuexin,Liu, Yang,&Zou, Xin.(2024).Burned area detection from a single satellite image using an adaptive thresholds algorithm.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1),2376275.
MLA Duan, Quan,et al."Burned area detection from a single satellite image using an adaptive thresholds algorithm".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024):2376275.

入库方式: OAI收割

来源:地理科学与资源研究所

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