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16篇 您的检索式:作者名="SCAIONI"
    题名 作者 年代 出处 被引量
1基于滑坡敏感性与降雨强度-历时的中国浅层降雨滑坡时空分析与模拟显示文摘本研究提供了一种基于滑坡敏感性与降雨强度-历时(I-D)的中国浅层降雨滑坡时空模拟的方法.该研究用到了滑坡敏感性指数与I-D阈值,实现了实时模拟中国整个区域内浅层降雨滑坡可能发生的时间与地点.论文主要包括三个部分:首先,介绍了前期中国滑坡敏感性的工作,整个区域按照滑坡敏感性的指数分为5类(低、较低、中、较高、高),其中较高与高敏感区域占到总区域的4.15%;其次,采用TMPA3B42的降雨产品分析近年来60起降雨滑坡事件,统计拟合降雨强度与历时的关系,并构建降雨滑坡响应阈值.最后,综合上述的工作,模拟了浅层降雨滑坡的时空分布,并通过实例进行了验证.本研究为浅层降雨滑坡模拟预测提供了一种理论依据,旨在能够为降雨滑坡灾害预警与防治提供帮助.李巍岳 刘春 Marco SCAIONI 孙伟伟 陈钰 姚东京 陈生 洪阳 张凯航 程国栋 2017中国科学:地球科学2017,47,4:16
2Spatio-temporal analysis and simulation on shallow rainfall-induced landslides in China using landslide susceptibility dynamics and rainfall I-D thresholds显示文摘An empirical simulation method to simulate the possible position of shallow rainfall-induced landslides in China has been developed.This study shows that such a simulation may be operated in real-time to highlight those areas that are highly prone to rainfall-induced landslides on the basis of the landslide susceptibility index and the rainfall intensity-duration(I-D) thresholds.First,the study on landslide susceptibility in China is introduced.The entire territory has been classified into five categories,among which high-susceptibility regions(Zone 4-'High' and 5-'Very high') account for 4.15%of the total extension of China.Second,rainfall is considered as an external triggering factor that may induce landslide initiation.Real-time satellite-based TMPA3B42 products may provide real rainfall spatial and temporal patterns,which may be used to derive rainfall duration time and intensity.By using a historical record of 60 significant past landslides,the rainfall I-D equation has been calibrated.The rainfall duration time that may trigger a landslide has resulted between 3 hours and 45 hours.The combination of these two aspects can be exploited to simulate the spatiotemporal distribution of rainfall-induced landslide hazards when rainfall events exceed the rainfall I-D thresholds,where the susceptibility category is 'high' or 'very high'.This study shows a useful tool to be part of a systematic landslide simulation methodology,potentially providing useful information for a theoretical basis and practical guide for landslide prediction and mitigation throughout China.LI WeiYue LIU Chun Marco SCAIONI SUN WeiWei CHEN Yu YAO DongJing CHEN Sheng HONG Yang ZHANG KaiHang CHENG GuoDong 2017Science China Earth Sciences2017,60,4:5
3Building Reconstruction and Visualization from Lidar Data显示文摘FORLANI G NARDINOCCHI C SCAIONI M 0,,05:1
4Complete Classification of Raw I,IDAR Data and 3D Reconstnwtion of Buildings 显示文摘FORI ANI G NARI)INOCCttl C SCAIONI M 2006Pattern Analysis and Applications2006,8,4:1
5Extraction of ac- curate tie points for automated pose estimation of close - range blocks 显示文摘Barazzetti L Remondino F Scaioni M 2010ISPRS Journal of Photogrammetry and Remote Sensing2010,,:1
6Crack measurement:Development,testing and applications of an automatic image-based algorithm显示文摘Luigi Barazzetti Marco Scaioni 2009ISPRS Journal of Photogrammetry and Remote Sensing2009,64,3:1
7On the estimation of rigid-body transformation for TLS registration 显示文摘Scaioni M 2012International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences2012,34,5:1
8Complete classification of raw LIDAR data and 3D reconstruction of buildings显示文摘Gianfranco Forlani Carla Nardinocchi Marco Scaioni 2006Pattern Analysis & Applications2006,8,4:1
9UAV photogrammetry for mapping and 3-D modeling-current status and future perspectives显示文摘Remondino F Barazzetti L Nex F Scaioni M Sarazzi D 0,,:1
10Hazardous gas releases in urban areas: Assessment of consequences through CFD modelling显示文摘M. Pontiggia M. Derudi M. Alba M. Scaioni R. Rota 2009Journal of Hazardous Materials2009,,1:1
11Orientation and 3D modeling from markerless terrestrial images-combining accuracy with auto- mation显示文摘BARAZZETTI L SCAIONI M REMONDINO F 2010The Photogrammetric Record2010,25,132:1
12Complete Classification of Raw LIDAR Data and 3D Reconstruction of Buildings显示文摘Forlani G Nardinocchi C Scaioni M 2006Pattern Analysis & Applications2006,8,4:1
13Crack measurement: Development, testing and applications of an automatic image-based al- gorithm 显示文摘BARAZZETrI L SCAIONI M 2009J Photog Remote Sensing2009,64,3:1
14Complete Classification raw LIDAR data and 3D reconstruction of buildings显示文摘Forlani G Nantinocchi C Scaioni M 2013Pattern Analysis & Applications2013,8,:1
15Li DAR data filtering and classification by skewness and kurtosis iterative analysis of multiple point cloud data categories显示文摘CROSILLA F MACORIG D SCAIONI M 2013Applied Geomatics2013,5,3:1
16基于激光测高卫星的东南极表面高变化分析显示文摘利用美国国家冰雪数据中心(NSIDC)最新发布的ICESat(云和地面高度卫星)R633版本的GLA12激光测高数据,使用重复轨最小二乘平面拟合的方法,计算得到东南极兰伯特冰川流域(Lambert)2 003年~2009年的高程变化率.使用高度计重复观测数据确定表面高变化的时候,要考虑地形坡度的影响.假定在沿ICESat重复轨道小段范围内,可以用平面来拟合坡度和高程变化,并依此来计算高程变化.结果表明,Lambert冰川流域2003年~2009年平均高程变化率为(1±0.5) cm·yr-1.与已有研究成果以及交叉点获取的高程变化比较,提出的重复轨平面拟合方法有效可行.刘俊 谢欢 Scaioni Marco 童小华 2014同济大学学报(自然科学版)2014,42,11:1
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