Automatic Detection of Regional Snow Avalanches with Scattering and Interference of C-band SAR Data
Automatic Detection of Regional Snow Avalanches with Scattering and Interference of C-band SAR Data
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C波段SAR数据散射与干扰自动检测区域雪崩
DOI：
10.3390/rs12172781
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发表时间：
2020-08
期刊：
影响因子：
5
通讯作者：
Yang Liu
中科院分区：
文献类型：
--
作者：
Jinming Yang;Chengzhi Li;Lanhai Li;Jianli Ding;Run Zhang;Tao Han;Yang Liu
雪崩灾害具有极大的破坏性和灾难性，往往造成严重的人员伤亡、经济损失和地表侵蚀。然而，很少有人注意到利用遥感测绘雪崩快速和自动减轻灾害。由于自然条件恶劣、人为主观判断和对雪崩认识不足等原因，这些工作是不全面、不准确的。本文提出了一种客观的和广泛适用的区域自动检测方法，利用Sentinel-1 SLC图像中提取的雪崩的散射和干涉特性。建立了六个指标来区分雪崩和周围的原状雪。我国西天山克孜勒克亚和阿克特普的雪崩活动带使这一研究具有紧迫性。实施发现，较小的雪崩可以在下降的图像中更准确地一致识别。具体而言，在克孜勒克亚的上升和下降过程中分别检测到281次和311次雪崩。Aktep上的相应数字分别为104和114。单次雪崩探测的分辨面积可达0.09 km ~ 2。在所有情况下，模型的性能都很好（Kizilkeya下降和上升的曲线下面积分别为0.831和0.940; Aktep分别为0.807和0.938）。综合评价，各统计指标POD > 0.75，FAR < 0.34，FOM < 0.13 and TSS >0.75.结果表明，本文提出的创新方法，采用雪崩特征的多元综合描述实现区域自动检测，具有一定的客观性、准确性、适用性和鲁棒性。该设计生成的最新、更完整的雪崩清单可以有效地协助应对日益严重的雪崩灾害，提高公众对高山地区雪崩的认识。
Avalanche disasters are extremely destructive and catastrophic, often causing serious casualties, economic losses and surface erosion. However, far too little attention has been paid to utilizing remote sensing mapping avalanches quickly and automatically to mitigate calamity. Such endeavors are limited by formidable natural conditions, human subjective judgement and insufficient understanding of avalanches, so they have been incomplete and inaccurate. This paper presents an objective and widely serviceable method for regional auto-detection using the scattering and interference characteristics of avalanches extracted from Sentinel-1 SLC images. Six indices are established to distinguish avalanches from surrounding undisturbed snow. The active avalanche belts in Kizilkeya and Aktep of the Western TianShan Mountains in China lend urgency to this research. Implementation found that smaller avalanches can be consistently identified more accurately in descending images. Specifically, 281 and 311 avalanches were detected in the ascending and descending of Kizilkeya, respectively. The corresponding numbers on Aktep are 104 and 114, respectively. The resolution area of single avalanche detection can reach 0.09 km2. The performance of the model was excellent in all cases (areas under the curve are 0.831 and 0.940 in descending and ascending of Kizilkeya, respectively; and 0.807 and 0.938 of Aktep, respectively). Overall, the evaluation of statistical indices are POD > 0.75, FAR < 0.34, FOM < 0.13 and TSS > 0.75. The results indicate that the performance of the innovation proposed in this paper, which employs multivariate comprehensive descriptions of avalanche characteristics to actualize regional automatic detection, can be more objective, accurate, applicable and robust to a certain extent. The latest and more complete avalanche inventory generated by this design can effectively assist in addressing the increasingly severe avalanche disasters and improving public awareness of avalanches in alpine areas.
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影响因子：
5.2
作者：
Gaume, Johan;van Herwijnen, Alec;Schweizer, Juerg
通讯作者：
Schweizer, Juerg
DOI：
10.1109/igarss.2001.978322
发表时间：
2001-07
期刊：
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)
影响因子：
--
作者：
A. Wiesmann;U. Wegmüller;Marc Honikel;T. Strozzi;C. Werner
通讯作者：
A. Wiesmann;U. Wegmüller;Marc Honikel;T. Strozzi;C. Werner
影响因子：
56.9
作者：
K. Krajick
通讯作者：
K. Krajick
影响因子：
13.5
作者：
M. Tanase;M. Santoro;U. Wegmüller;J. Riva;F. Pérez-Cabello
通讯作者：
M. Tanase;M. Santoro;U. Wegmüller;J. Riva;F. Pérez-Cabello
DOI：
10.1109/igarss.2001.978201
发表时间：
2001-07
期刊：
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)
影响因子：
--
作者：
Zhen Li;Huadong Guo;Xinwu Li;Changlin Wang
通讯作者：
Zhen Li;Huadong Guo;Xinwu Li;Changlin Wang