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Time series analysis of L-band PALSAR-2 images in Istanbul and Kocaeli,Turkey

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Big Earth Data 2024年第3期8卷 467-493页

作者： Sadra Karimzadeh Abdullah Can Zulfikar Masashi Matsuoka Department of Remote Sensing and gis University of TabrizTabrizIran Department of Architecture and Building Engineering Tokyo Institute of TechnologyYokohamaJapan Disaster Management Institute Istanbul Technical UniversityMaslakIstanbulTurkey

ABSTRACT Conducting long measurements of infrastructure deformation is a critical engineering *** methods are both timeconsuming and expensive,limiting their use for large-scale *** synergy of synthetic aperture radar(SAR)and geographic information systems(gis)offers a complementary *** study focuses on the feasibility of using time series analysis of L-band PALSAR-2 images to discover land displacements in Istanbul and Kocaeli,significant industrial and residential areas in ***-2 phase and intensity information were *** phase analysis,14 L-band images from 2014 to 2021 were taken into *** baseline subset(SBAS)analysis was performed using 44 pairs,and results of the velocity,coherence and back-scattering values are *** of all pairs and their correlations were *** Component Analysis(PCA)reduced the dimension of coherence pairs,enhancing feature extraction and the final geocoded velocity map revealed a fastest subsidence rate of−58 mm/yr and a mean subsidence of−20 mm/*** findings were confirmed through mean vertical velocity from Sentinel-1 datasets and field *** results showed that immature land subsidence in the mentioned areas are growing slowly,which can be taken as a serious risk in future.

关键词： InSAR time series PALSAR-2 SAR intensity infrastructure deformation

Structural Characteristics and Evolution of a Weighted Sino-US Container Shipping Network

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Chinese Geographical Science 2024年第5期34卷 810-828页

作者： ZHANG Tiantian XI Daping JIANG Wenping FENG Yuhao WANG Chuyuan HU Xini National Engineering Research Center of gis China University of GeosciencesWuhan 430078China School of Geography and Information Engineering China University of GeosciencesWuhan 430078China School of Resources and Environmental Sciences Wuhan UniversityWuhan 430074China

This study selected the Sino-US route data from the top 30 global container liner companies between December 1,2019,and December 29,2019,as the data source utilizing the complex network research *** constructs a Sino-US container shipping network through voyage weighting and analyzes the essential structural characteristics to explore the network’s complex structural *** network’s evolution is examined from three perspectives,namely,time,space,and event influence,aiming to comprehens-ively explore the network’s evolution *** results revealed that:1)the weighted Sino-US container shipping network exhib-its small-world and scale-free *** hub ports in the United States include NEW YORK NY,SAVANNAH GA,LOS ANGELES CA,and OAKLAND CA,whereas SHANGHAI serving as the hub port in *** geographical distribution of these hub ports is uneven.2)Concerning the evolution of the weighted Sino-US container shipping network,from a temporal perspective,the evolution of the regional structure of the entire Sino-US region and the Inland United States is in a stage of radiative expansion and de-velopment,with a need for further enhancement in competitiveness and development *** evolution of the regional structure of southern China and Europe is transitioning from the stage of radiative expansion and development to an advanced equilibrium *** shipping development in Northern China,the Western and Eastern United States,and Asia is undergoing significant changes but faces challenges of fierce competition and *** a spatial perspective,the rationality and effectiveness of the improved weighted Barrat-Barthelemy-Vespignani(BBV)model are confirmed through theoretical *** applicability of the improved evolution model is verified by simulating the evolution of the weighted Sino-US container shipping *** an event impact per-spective,the Corona Virus Disease 2019(COVID-19)pandemic has not fundamentally affecte

关键词： container shipping network structure characteristics network evolution voyage weighting improved Barrat-Barthelemy-Vespignani(BBV)model

Radiative capture of proton through the ^(14)N(p,γ)^(15)O reaction at low energy

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Chinese Physics C 2024年第4期48卷 183-192页

作者： B.F.Irgaziev Abdul Kabir Jameel-Un Nabi National University of Uzbekistan Tashkent 100174Uzbekistan Space and Astrophysics Research lab National Centre of GIS and Space ApplicationsDepartment of Space ScienceInstitute of Space TechnologyIslamabad 44000Pakistan University of Wah Quaid AvenueWah Cantt 47040PunjabPakistan

The CNO cycle is the main source of energy in stars more massive than our *** process defines the energy production,the duration of which can be used to determine the lifetime of massive *** cycle is an important tool for determining the age of globular *** proton capture via p+^(14)N→^(15)O+γ,at energies of astrophysical interest,is an important process in the CNO *** this project,we apply a potential model to describe both non-resonant and resonant reactions in the channels where radiative capture occurs through electric E1 *** employed the R-matrix method to describe the ongoing reactions via M1 resonant transitions,when it was not possible to correctly reproduce the experimental data using the potential *** partial components of the astrophysical S-factor are calculated for all possible electric and magnetic dipole transitions in ^(15)*** linear extrapolated S-factor at zero energy(S(0))agrees well with earlier reported values for all transition types considered in this *** on the value of the total astrophysical S-factor,depending on the collision energy,we calculate the nuclear reaction rates for p+^(14)N→^(15)O+γ.The computed rates agree well with the results reported in the NACRE II Collaboration and most recent existing measurements.

关键词： CNO cycle potential model R-matrix method cross-section astrophysical S-factor nuclear rates.

Transformer-Based Cloud Detection Method for High-Resolution Remote Sensing Imagery

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Computers, Materials & Continua 2024年第7期80卷 661-678页

作者： Haotang Tan Song Sun Tian Cheng Xiyuan Shu Key Laboratory of gis Application Research School of Geography and TourismChongqing Normal UniversityChongqing401331China College of Computer and Information Science Chongqing Normal UniversityChongqing401331China Department of Military Installations Army Logistics AcademyChongqing401331China

Cloud detection from satellite and drone imagery is crucial for applications such as weather forecasting and *** the limitations of conventional convolutional neural networks,we propose an innovative transformer-based *** method leverages transformers,which are adept at processing data sequences,to enhance cloud detection ***,we introduce a Cyclic Refinement Architecture that improves the resolution and quality of feature extraction,thereby aiding in the retention of critical details often lost during cloud *** extensive experimental validation shows that our approach significantly outperforms established models,excelling in high-resolution feature extraction and precise cloud *** integrating Positional Visual Transformers(PVT)with this architecture,our method advances high-resolution feature delineation and segmentation ***,our research offers a novel perspective for surmounting traditional challenges in cloud detection and contributes to the advancement of precise and dependable image analysis across various domains.

关键词： Cloud transformer image segmentation remotely sensed imagery pyramid vision transformer

Re-analysis of temperature dependent neutron capture rates and stellarβ-decay rates of^(95-98)Mo

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Chinese Physics C 2024年第9期48卷 142-149页

作者： Abdul Kabir Jameel-Un Nabi Muhammad Tahir Abdul Muneem Zain Ul Abideen Space and Astrophysics Research lab National Centre of GIS and Space ApplicationsDepartment of Space ScienceInstitute of Space TechnologyIslamabad 44000Pakistan University of Wah Quaid AvenueWah Cantt 47040PunjabPakistan Faculty of Engineering Sciences GIK Institute of Engineering Sciences and TechnologyTopi 23640Khyber PakhtunkhwaPakistan

The neutron capture rates and temperature dependent stellar beta decay rates of Mo isotopes are investigated within the framework of the statistical code TALYS v1.96 and the proton neutron quasi particle random phase approximation(pn-QRPA)*** Maxwellian average cross-section(MACS)and neutron capture rates for the^(95-98)Mo(n,γ)^(96-99)Mo radiative capture process are analyzed within the framework of the statistical code TALYS v1.96 based on the phenomenological nuclear level density model and gamma strength *** present model-based computations for the MACS are comparable to the existing measured *** sensitivity of stellar weak interaction rates to various densities and temperatures is investigated within the framework of the pn-QRPA *** attention is paid to the impact of thermally filled excited states in the decaying nuclei(^(95-98)Mo)on electron emission and positron capture ***,we compare the neutron capture rates and stellar beta decay *** is found that neutron capture rates are higher than stellar beta decay rates at both lower and higher temperatures.

关键词： cross-section TALYS nuclear level density decay rates capture rates

An integrated spatial planning of the mountainous landscapes for ski sports in a case area at the eastern Türkiye

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Journal of Mountain Science 2024年第3期21卷 754-767页

作者： SATIR Onur TOSUN Busra COSKUN OZYOL Funda OZDEMIR Omer Faruk BERBEROGLU Suha Dept.of Landscape Architecture Van Yuzuncu Yil UniversityVan 65090Türkiye School of Physical Education&Sports Van Yuzuncu Yil UniversityVan 65090Türkiye Van Yuzuncu Yil University Dept.of Architecture&Urban Planning Van 65090Türkiye Dept.of Remote Sensing&gis Cukurova UniversityAdana 01330Türkiye

Mountainous regions have disadvantages in economic development because of harsh physical and climatic ***,winter tourism activities are one of the key components for supporting economic development in the *** a ski resort area supports direct and indirect employment in a region,and it stops immigration from mountainous regions to other *** research aimed to assess the potential ski areas using a multi criteria evaluation technique in the Van region which is located in the eastern part of Tü*** this context,snow cover duration,sun effect,slope,slope length,elevation,population density,distance from main roads and lake visibility were used as input factors in the decision making *** factor was standardized using a fuzzy technique based on existing well-known ski centers in Tü*** weight of inputs was defined by applying a survey to the professional *** most important factors were detected as transportation opportunities and snow covers whereas,the least important factors were elevation and population ***,lake visibility was very important to make a difference from other existing facilities in the ***,it was included as constraints and lake visible areas were extracted at the final stage of the *** ski areas were mapped in three levels as professional,intermediate and beginner *** of the suitable areas was selected as a sample projection and for the 3D simulation of the ski investment *** costs and benefits were *** was found that a ski tourism area investment can be amortized in 3 years in the region.

关键词： Winter sports and tourism Decision making 3D simulation and modelling Landscape planning gis

1990-2020年喜马拉雅山中段北坡冰川变化遥感监测

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地理研究 2024年第7期43卷 1862-1877页

作者：冀琴范亦霏童丽媛周凌翔吴晋扬重庆师范大学地理与旅游学院重庆401331 gis应用研究重庆市高校重点实验室重庆401331

喜马拉雅山作为中纬度地区冰川作用中心之一,其变化的时空格局特征与气候环境息息相关。本文基于Landsat系列遥感影像,采用比值阈值及目视解译法,分析1990-2020年喜马拉雅山中段北坡冰川的分布和变化特征。结果表明:(1) 2020年冰川面积... 详细信息

喜马拉雅山作为中纬度地区冰川作用中心之一,其变化的时空格局特征与气候环境息息相关。本文基于Landsat系列遥感影像,采用比值阈值及目视解译法,分析1990-2020年喜马拉雅山中段北坡冰川的分布和变化特征。结果表明:(1) 2020年冰川面积为2763.72 km^(2),较1990年减少了622.35 km^(2),冰川呈持续退缩状态,年均退缩率为0.61%/a。(2)从地形分布特征看,冰川面积分布随海拔变化呈正态分布趋势,冰川退缩最为显著的区域集中在5500~6000 m,退缩面积达321.03 km^(2)。在3500~4000 m范围内,冰川的年均退缩率最大,为1.12%/a。(3)研究区内非表碛物覆盖型冰川分布面积远高于表碛物覆盖型冰川,且前者年均退缩率(0.78%/a)远大于后者(0.31%/a),表明研究区内表碛物对冰川融化有一定程度的抑制作用。(4) 2020年研究区山谷冰川分布面积最多,为1649.63 km^(2),其次为悬冰川、冰斗-山谷冰川和冰斗冰川,面积分别为574.71 km^(2)、429.39 km^(2)和105.59 km^(2),而平顶冰川分布面积最少,仅为2.40 km^(2)。(5)值得注意的是,山谷冰川中超过一半的冰川表面被表碛物覆盖,而在平顶冰川中并未发现表碛物覆盖型冰川。不同类型冰川受表碛物覆盖影响的程度不同,总体而言非表碛物覆盖型冰川退缩程度更为剧烈,其中在表碛物覆盖区域,悬冰川的年均退缩速率最快,达1.04%/a。

关键词：喜马拉雅山中段冰川变化冰川类型遥感监测

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gis屏蔽罩松动状态特性仿真及试验分析

高压电器 2024年第6期60卷 19-26页

作者：刘咏飞黄强赵科杨景刚高山施景垒鲁露国网江苏省电力有限公司电力科学研究院gis设备运维检修技术实验室南京211103 上海睿深电子科技有限公司上海201108

机械类缺陷是gis设备运行阶段的常见缺陷之一。针对机械缺陷导致gis异常振动问题开展机理研究,能够有效排查现场设备故障隐患。文中首先通过有限元建模,对某126 kV三相共体式gis运行时可能出现的屏蔽罩松动缺陷进行仿真,探究设备在缺陷... 详细信息

机械类缺陷是gis设备运行阶段的常见缺陷之一。针对机械缺陷导致gis异常振动问题开展机理研究,能够有效排查现场设备故障隐患。文中首先通过有限元建模,对某126 kV三相共体式gis运行时可能出现的屏蔽罩松动缺陷进行仿真,探究设备在缺陷状态下的异常振动机理及特征。其次,分别对建立的gis正常模型和屏蔽罩松动模型进行磁固耦合仿真,通过后处理获得了筒体上的振动结果。最后,搭建了同一型号的gis试验平台进行了缺陷模拟试验,对相同缺陷状态下gis运行振动信号进行了检测分析。结果表明,文中所分析的126 kV gis设备内部出现屏蔽罩松动缺陷时,振动信号中的主频会发生偏移,300 Hz特征频率明显增大,仿真和试验一致性较好。文中的研究成果可用于gis屏蔽罩松动缺陷下的振动信号异常判断,采用的数值仿真及试验模型相结合的分析方法也可为更多缺陷类型研究提供思路。

关键词：三相共体式gis 异常机械振动屏蔽罩松动振动仿真

Contribution of SAR Radar Imagery in the Detection of Suspicious Vessels in the Ivorian EEZ

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World Journal of Engineering and Technology 2024年第1期12卷 200-212页

作者： Koffi Cyprien Yoboue Jean-Baptiste Kassi Eric Valère Djagoua Tiemelé Jacque-André Laboratory of Remote Sensing and gis University Center for Research and Application in Remote Sensing (CURAT) Félix Houphouet-Boigny University of Abidjan Cocody Ivory Coast

The present work proposed a method for match SAR and AIS data to detect vessels carrying out suspicious activity in the Ivorian EEZ. Two superposition methods, detected AIS and SAR data, based on point-to-point association on the one hand and point-to-line on the other hand, were used to detect suspicious vessels in Ivorian marine waters. The results showed that most vessels detected in the Ivorian EEZ do not declare their positions to avoid being spotted. These funds are likely to practice illegal, undeclared and unregulated fishing (INN fishing). This clandestine activity is very recurrent in Ivorian waters. This is illustrated by the number of suspicious vessels detected by SAR radar imagery which is greater compared to declared or authorized vessels.

关键词： INN Fishing CFAR Algorithm AIS Sentinel-1A Ivory Coast