Earthquake-induced landslide is the most common and the most destructive geological secondary disaster triggered by the earthquake. Rapid and accurate extraction of the distribution and extent information of landslides is of great significance for post-earthquake emergency rescue and post-disaster reconstructions. In this study, we take the Zhangzha Town, the heavily hit district by the "8·8 Jiuzhaigou earthquake", as the study region, and the information concerning the distribution and extent of the earthquake-induced landslides was extracted by combining the change detection technology and the object-oriented method. The extracted information was optimized using the improved region growing algorithm based on Sentinel-2A image. The extraction performance was evaluated by comparison with the traditional CVA extraction results, and the results indicated that the overall accuracy of our extraction was above 90% and the Kappa coefficient was over 0.7. The higher automation level and quicker processing of the proposed method in this study meet the time and precision requirements for earthquake emergency rescues.
[1] 王静静,张怀,庞亚瑾,等. 从多地震活动参数角度定量分析芦山地震的背景活动性[J]. 中国科学院大学学报,2015,32(2):235-242.
[2] 瞿武林,张贝,黄禄渊,等. 2004年Mw9.3苏门答腊地震产生的库仑应力[J]. 中国科学院大学学报,2017,34(1):86-98.
[3] 胡德勇,李京,陈云浩,等. GIS支持下滑坡灾害空间预测方法研究[J]. 遥感学报, 2007, 11(6):852-859.
[4] 李为乐,伍霁,吕宝雄. 地震滑坡研究回顾与展望[J]. 灾害学,2011,26(3):103-108.
[5] 王治华. 滑坡、泥石流遥感回顾与新技术展望[J]. 国土资源遥感,1999,41(3):10-15.
[6] 赵妍. 建筑物震害遥感影像面向对象变化检测研究[D]. 北京:中国地质大学(北京), 2017.
[7] Guzzetti F, Alessandro C M, Mauro C, et al. Landslide inventory maps:new tools for an old problem[J]. Earth-Science Reviews, 2012, 112(1/2):42-66.
[8] Li Z, Shi W, Lu P, et al. Landslide mapping from aerial photographs using change detection-based Markov random field[J]. Remote Sensing of Environment, 2016, 187:76-90.
[9] Nichol J, Wong M S. Satellite remote sensing for detailed landslide inventories using change detection and image fusion[J]. International Journal of Remote Sensing, 2005, 26(9):1913-1926.
[10] Lü Z, Wen Z, Xiao C, et al. Semi-automatic system for land cover change detection using Bi-temporal remote sensing images[J]. Remote Sensing, 2017, 9(11):1112.
[11] Behling R, Sigrid R, Darya G, et al. Derivation of long-term spatiotemporal landslide activity:a multi-sensor time series approach[J]. Remote Sensing of Environment, 2016, 186:88-104.
[12] Zhao W, Li A, Nan X, et al. Postearthquake landslides mapping from Landsat-8 data for the 2015 Nepal Earthquake using a pixel-based change detection method[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5):1758-1768.
[13] Li Z, Shi W, Soe W M, et al. Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method[J]. Remote Sensing of Environment, 2016, 175:215-230.
[14] Martha T R, Norman K, Victor J, et al. Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods[J]. Geomorphology, 2010, 116(1):24-36.
[15] 闫琦. 基于高分辨率遥感影像的典型地震次生地质灾害快速智能提取研究[D]. 北京:中国科学院大学(中国科学院遥感与数字地球研究所), 2017.
[16] 戴岚欣,许强,范宣梅,等. 2017年8月8日四川九寨沟地震诱发地质灾害空间分布规律及易发性评价初步研究[J]. 工程地质学报, 2017, 25(4):1151-1164.
[17] 邓飞,窦爱霞,吴玮莹,等. 基于无人机遥感的四川九寨沟地震极灾区灾情快速调查[J]. 灾害学,2018,33(3):210-215.
[18] 吴玮莹,王晓青,邓飞. 基于高分卫星遥感影像的地震应急滑坡编目与分布特征探讨:以2017年8月8日九寨沟7.0级地震为例[J]. 震灾防御技术,2017(4):815-825.
[19] Townshend J R G, Christopher O J, Charlotte G, et al. The impact of misregistration on change detection[J]. IEEE Transactions on Geoscience & Remote Sensing, 1992, 30(5):1054-1060.
[20] 云雅,夏勇,张锦水,等. 采用单时相法的高分一号数据云/阴影检测[J]. 遥感信息, 2017, 32(4):35-40.
[21] Chen F, Yu B, Li B. A practical trial of landslide detection from single-temporal Landsat8 images using contour-based proposals and random forest:a case study of national Nepal[J]. Landslides, 2017:1-12.
[22] Zhang Y, Guindon B, Cihlar J. An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images[J]. Remote Sensing of Environment, 2002, 82(2):173-187.
[23] Li Z, Shen H, Li H, et al. Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery[J]. Remote Sensing of Environment, 2017, 191:342-358.
[24] Zhang Y, Ma X, Liang C. Hybrid change detection for watershed impervious surface using multi-time remotely sensed data[C]//Geoscience and Remote Sensing Symposium (IGARSS), IEEE International Symposium, 2007:1939-1942.
[25] Xu C, Xu X, Yao X, et al. Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis[J]. Landslides, 2014, 11(3):441-461.
[26] 闫琦,李慧,荆林海,等. 灾后高分辨率遥感影像的地震型滑坡信息自动提取算法研究[J]. 激光与光电子学进展, 2017(11):410-420.
[27] 林齐根,邹振华,祝瑛琦,等. 基于光谱、空间和形态特征的面向对象滑坡识别[J]. 遥感技术与应用, 2017, 32(5):931-937.
[28] 赵福军. 遥感影像震害信息提取技术研究[D]. 哈尔滨:中国地震局工程力学研究所, 2010.
[29] Travelletti J, Jean P M, Christophe D. Image-based correlation of Laser Scanning point cloud time series for landslide monitoring[J]. International Journal of Applied Earth Observations & Geoinformation, 2014, 32(1):1-18.
