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Characteristics of Musta Glacier surges and their responses to climate change between 1976 and 2023

Advances in Climate Change Research 2025年第1期16卷 125-140页

作者： Yong-Peng GAO Shi-Yin LIU Jin-Liang WANG Xiao-Jun YAO Miao-Miao QI Peng-Bin LIANG Jian-Xin MU Xing-Gang MA Yu ZHU Fu-Ming XIE Zong-Li JIANG Zhen ZHANG Yunnan Normal University Kunming 650500China Institute of International Rivers and Eco-Security Yunnan UniversityKunming 650091China Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming 650500China Key Laboratory of Resource Environment and Sustainable Development of Oasis Northwest Normal UniversityGansu ProvinceLanzhou 730070China School of Ecology and Environmental Science Qinghai University of Science and TechnologyXining 810008China Key Laboratory of Cryospheric Science and Frozen Soil Engineering/Tian Shan Glaciological Station Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000GansuChina National Field Science Observation and Research Station of Yulong Snow Mountain Cryosphere and Sustainable Development Northwest Institute of EcoEnvironment and ResourcesChinese Academy of SciencesLanzhou 730000China School of Earth Sciences and Spatial Information Engineering Hunan University of Science and TechnologyXiangtan 411201China School of Geomatics Anhui University of Science and TechnologyHuainan 232001China

Understanding the differential responses of various tributaries of the same glacier to climate change under similar climatic conditions in the Karakoram is crucial for unraveling the complexity of glacier dynamics in this *** study systematically examines the surface elevation,flow velocity,morphological changes,and climate responses for different tributary glaciers of the Musta Glacier,using multi-source remote sensing imagery and meteorological reanalysis data from 1976 to *** findings reveal that the tributaries of Musta Glacier experienced a total of nine surges,with an average duration exceeding ten *** surges typically began in spring and summer and concluded in summer and *** these events,the glaciers transferred an estimated 1.32 km^(3)of material downstream,resulting in an average thickening of over 30 m in the receiving *** analysis of velocities reveals that the acceleration phase of Musta Glacier tributary surges ranges from 1 to 12 years,with an average duration exceeding 6 years,while the deceleration phase consistently lasts less than 4 *** the tributaries,the South Chongtar Glacier exhibits the most rapid surge dynamics,with a total surge duration of just 5 ***,all surging tributaries of Musta Glacier induce notable geomorphic changes during their surge events,including the formation of ring-shaped moraines and terminal *** analysis with previous studies reveals that the surge characteristics of most Musta Glacier tributaries resemble those of thermally controlled Svalbard-type surging ***,we observed that the surging patterns of Musta Glacier are closely linked to regional climatic variations,characterized by increased precipitation and noticeably cooling prior to surge *** the other hand,we proposed that the asynchronous surging behavior among the tributaries of Musta Glacier is primarily driven by variations in the internal dynamic processes of e

关键词： Glacier surge Climate change Musta Glacier Karakoram remote sensing

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Multimodal Electromagnetic Vortex SAR Image Fusion using CNN

Multimodal Electromagnetic Vortex SAR Image Fusion using CNN

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IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)

作者： Kun Lan Xiyuan Sun Zi He Da-Zhi Ding Xinrui Jiang Bixia Yang Nanjing University of Science and Technology Nanjing China Beijing Institute of Remote Sensing Equipment Beijing China

ISBN: (数字)9798331520717

ISBN: (纸本)9798331520724

Due to the hollow characteristics of vortex electromagnetic beams, target information may be missing to varying degrees in electromagnetic vortex SAR images under different modes. The target information can be restored using image fusion methods. Traditional pixel-level fusion methods require precise setting of weights, which may result in loss of information from the source image. This paper proposes a Multimodal Electromagnetic Vortex SAR Image Fusion using CNN. First, training is conducted using a large-scale RGB-D dataset (NYU-D2), and then fusion tests are performed using electromagnetic vortex SAR images of different modalities. The comparative experimental results show that this method can integrate electromagnetic vortex SAR images of different modes and recover target information, thereby producing high-quality SAR images.

关键词： Training Radio frequency Target recognition Feature extraction Visual effects Microwave theory and techniques Radar polarimetry Electromagnetics Image reconstruction Microwave imaging

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Prospects on mangrove knowledge services in the smart era:From plant atlas to knowledge graphs

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science China Earth sciences 2025年第1期68卷 111-127页

作者： Zhi-Wei HOU Wenlong JING Cheng-Zhi QIN Ji YANG Qing XIA Xiaoling YIN Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of SciencesGuangzhou510070China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing100049China School of Traffic&Transportation Engineering Changsha University of Science and TechnologyChangsha410114China

Mangroves are crucial to the ecological security of the Earth and human *** management,conservation,and restoration are of great importance and necessitate the support of spatio-temporal information and multidisciplinary knowledge such as biology and *** knowledge services such as plant atlas provide illustrated textual knowledge of ***,this kind of service is oriented to information retrieval and is incapable of effectively mining and utilizing fragmented knowledge from multi-source heterogeneous data,facing the problem of“massive data,rare knowledge”.Knowledge graphs are capable of extracting,organizing,and fusing the knowledge contained in massive data into semantic networks that can be understood and computed by *** provide a solution for the realization of intelligent knowledge *** on the urgent need for mangrove knowledge acquisition,formal representation,and intelligent services,this paper proposes a research prospect on mangrove knowledge graphs and knowledge *** first analyze the similarities and differences between various domain-specific concepts of *** this basis,we define the mangrove knowledge graph as a large-scale knowledge base that integrates multi-disciplinary knowledge and spatio-temporal information with mangrove ecosystems as the ***,we propose a research framework for mangrove knowledge services that can realize the transformation from multi-modal data to intelligent knowledge services,including multiple research levels such as ubiquitous data sensing and aggregation,knowledge organization and graph construction,and intelligent mangrove knowledge ***,the methods and workflow for constructing mangrove knowledge graphs are ***,we discuss the challenges and possible future directions of mangrove knowledge services in the smart era,including the construction of a mangrove knowledge system that integrates the domain-specific charac

关键词： Mangrove Tupu Knowledge graph Multi-modal Knowledge service

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A new method for producing temperature profiles based on ERA5 and RAOB 7

A new method for producing temperature profiles based on ERA...

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7th International Conference on Machine Vision and Information technology, CMVIT 2023

作者： Qiao, Yale Guilin University of Technology College of Geomatics and Geoinformation China Chinese Academy of Sciences Guilin China The Aerospace Information Research Institute State Key Laboratory of Remote Sensing Science Beijing China

ISBN: (纸本)9781665464857

Temperature profiles are important meteorological parameters of the atmosphere that can determine atmospheric thermal processes. Detecting global spatial and temporal continuous atmospheric temperature profiles is crucial for weather protection work. Atmospheric datasets such as ERA5 (fifth generation ECMWF reanalysis) provide global and continuous temperature profile datasets with good resolution. RAOB (radiosonde) sounding data have high confidence and representativeness and are commonly used for data accuracy validation. In this paper, we use the RAOB sounding data of 2017 as the true value and revise the ERA5 reanalysis data based on machine learning methods to optimize the data. The algorithm not only improves the problem of RAOB distribution discontinuity but also improves the accuracy of ERA5 itself. In order to verify the results of the algorithm, the RAOB sounding data are compared with it, and it is found that the accuracy of the revised data is reduced by about 3K compared to the preprocessing RMSE, which is closer to the RAOB data. The algorithm proposed in this paper can provide important data support for subsequent meteorological studies. © 2023 IEEE.

关键词： Atmospheric temperature

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Vortex Electromagnetic Wave Three-Dimensional Imaging Based on OMP

Vortex Electromagnetic Wave Three-Dimensional Imaging Based ...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Peng Wen Zi He Dazhi Ding Xinrui Jiang Ying Zhou Nanjing University of Science and Technology Nanjing China Beijing Institute of Remote Sensing Equipment Beijing China

ISBN: (数字)9798350383317

ISBN: (纸本)9798350383324

The phase wavefront of vortex electromagnetic wave contains abundant information, which can be applied to realize the distance and azimuth imaging of targets. However, two-dimensional imaging can only provide the projected information of the target on a plane and cannot accurately reflect the vertical position and shape of the targets. Besides, due to the electromagnetic vortex radar does not have the resolution of elevation, so it is necessary to explore the three-dimensional imaging algorithm. In this paper, a 3D-object imaging algorithm based on orthogonal matching pursuit (OMP) is proposed. Firstly, the staring imaging scenario and the 3-D echo model are established. Second, the three-dimensional targets imaging is obtained based on the OMP algorithm. Finally, the practicability of the theoretical analysis is verified by the simulation result.

关键词： Solid modeling Simulation Electromagnetic scattering Matching pursuit algorithms Imaging Radar imaging Sparse matrices

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Data-Driven Real-Time Scheduling for Reconfigurable Workshop Using End-to-End Deep Reinforcement Learning

Data-Driven Real-Time Scheduling for Reconfigurable Workshop...

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Automation in Manufacturing, Transportation and Logistics (ICaMaL), International Conference on

作者： Yuxin Li Xinyu Li Liang Gao Zhibing Lu Yan Qin School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Beijing Institute of Remote Sensing Equipment Beijing China

ISBN: (数字)9798350378658

ISBN: (纸本)9798350378665

The multi-variety and small-batch production mode has made reconfigurable manufacturing systems a promising manufacturing paradigm. Meanwhile, frequent dynamic events in the workshop require scheduling methods with fast response capability. Therefore, this paper proposed a deep reinforcement learning (DRL) method for dynamic reconfigurable shop scheduling problem to minimize the total weighted tardiness. Specifically, a real-time scheduling framework is proposed firstly. Then, a DRL-based agent training algorithm is developed, where the state spaces with generality, rule weighting based action spaces, and a reward function based on the estimated weighted tardiness are designed for two agents. Moreover, a mechanism is proposed for handling new job arrivals and job reworks. The experimental results on 120 instances show that the proposed method can obtain better solutions than nine high-quality composite rules, and can effectively deal with dynamic events through training and learning.

关键词： Training Job shop scheduling Conferences Transportation Production Dynamic scheduling Deep reinforcement learning Real-time systems Manufacturing systems Logistics

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A review of the BuFeng-1 GNSS-R mission:calibration and validation results of sea surface and land surface

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地球空间信息科学学报（英文版） 2024年第3期27卷 638-652页

作者： Cheng Jing Weiqiang Li Wei Wan Feng Lu Xinliang Niu Xiuwan Chen Antonio Rius Estel Cardellach Semi Ribó Baojian Liu Zhizhou Guo Yang Nan National Key Laboratory of Science and Technology on Space Microwave China Academy of Space Technology(Xi'an)Xi'anChina Xi'an Institute of Space Radio Technology China Academy of Space Technology(Xi'an)Xi'anChina Institute of Space Sciences Spanish National Research Council(ICECSIC)Cerdanyola del VallèsSpain Department of Earth Observation Institut d'Estudis Espacials de CatalunyaBarcelonaSpain The Institute of Remote Sensing and Geographic Information System(IRSGIS) Peking UniversityBeijingChina The National Satellite Meteorological Center(NSMC) China Meteorological Administration(CMA)BeijingChina School of Soil and Water Conservation Beijing Forestry UniversityBeijingChina School of Marine Science and Technology Tianjin UniversityTianjinChina

In this paper,we will conclude the results of Bufeng-1(BF-1)A/B data processing,calibration workflow,and validation of the calibrated sea surface winds,land surface soil moisture,and sea surface height *** 2019,the BF-1 mission has operated in-orbit for over 4 *** Earth reflected delay Doppler maps(DDMs)are continuously collected to perform global sea surface and land *** the same time,the intermediate frequency(IF)raw data are also obtained for 12 seconds every pass in diagnostic *** begin with,a brief description of the spaceborne Global Navigation Satellite System Reflectometry(GNSS-R)technique will be provided in the ***,we will present the overview of Chinese BF-1 mission and the data specifications used in our *** the next section,the BF-1 mission-related spaceborne power calibration and validation are presented to show the sup-port to power DDM observable production for sea surface and land surface ***,the status of Chinese Beidou System(BDS)Equivalent Isotropic Radiated Power(EIRP)acquisi-tion programme is then ***,the latest sea surface height(SSH)measure-ments results including two modes(group delay and carrier phase)and wind speed derivation based on machine learning(ML)method will be spatial-temporal aligned and validated with auxiliary datasets including Denmark technology University(DTU)mean sea surface(MSS)products and European Centre for Medium-Range Weather Forecasts(ECMWF)ERA5 *** previous published results of sea surface winds retrieval under Hurricane conditions and soil moisture retrieval are also reviewed for the BF-1 mission ***,the conclu-sion of BF-1 derived results will be discussed to draw out ongoing/future works.

关键词： Global Navigation Satellite System-Reflectometry(GNSS-R) Delay-Doppler Map(DDM) sea surface height(SSH) soil moisture sea surface wind speed Bufeng-1 Immediate Frequency(IF)

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Multi-attitude small aircraft object detection based on Gm-APD LiDAR

Multi-attitude small aircraft object detection based on Gm-A...

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2023 Advanced Fiber Laser Conference, AFL 2023

作者： Ding, Yuanxue Qu, Yanchen Liu, Di Zhou, Xin Wang, Pengfei Zhou, Ruiqi Liu, Zhihui Zhu, Yuebing National Key Laboratory of Science and Technology on Tunable Laser Institution of Opto-Electronics Harbin Institute of Technology Harbin Heilongjiang150001 China Beijing Institute of Remote Sensing Beijing100854 China Sichuan Jiuzhou Electrical Group Company Limited Mianyang621000 China

ISBN: (纸本)9781510677661

In the military and civil fields, detecting small aircraft is of great significance. In recent years, the rapid development of LiDAR technology has made it possible to detect small aircraft at long distances. However, the scale change and attitude change make the detection difficult. Therefore, a detection network of multi-attitude small aircraft based on LiDAR anchorfree is proposed in this paper. The network structure is improved on the basis of the CenterNet network;using the encoder-decoder network structure, the extended convolutional module is designed to improve the receptive field and obtain the multi-scale information of the object. The IOU sensing branch is added to the detection header of the network to improve the localization accuracy of the object. The experimental results show that the detection accuracy of the improved network on the self-built simulation data set is 2.12% higher than that before the improvement and finally reaches 92.45%. Therefore, using this method can effectively improve the detection accuracy of the object. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Object detection

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Evaluation of Fluoride Contamination Using GIS in Thirukkazhukundram Block, Tamil Nadu, India

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Nature Environment and Pollution technology 2021年第5期20卷 2023-2030页

作者： Sambhavi, A. Amuthini Nagamani, K. Gowtham, B. Sathyabama Institute of Science and Technology Chennai India Centre for Remote Sensing and Geo-informatics Sathyabama Institute of Science and Technology Chennai India Department of Geology Presidency College Chennai India

The presence of fluoride in the groundwater in the Thirukkazhukundram Block in south India is now becoming an increasingly alarming issue. With the semi-arid climatic conditions, charnockite and gneiss rocks form the basement, contributing to the geology of the study area. The pre-monsoon (August 2016) and post-monsoon (February 2017) fluoride concentrations have an average output of 1.3 mg.L-1 and 0.72 mg.L-1 respectively. As of date, only in Neikuppi, the fluoride contamination is found to be 2 mg.L-1 in pre-monsoon which is beyond the accepted limit as per the WHO standards. Other 29 locations taken up for study have fluoride value fluctuation from 1 mg.L-1 to 2 mg.L-1 in the pre-monsoon and from 0 to 1.5 mg.L-1 in the post-monsoon. The main factor responsible for this fluoride contamination lies in the study area’s hydro-geological condition which must be attended to immediately to prevent a public health problem in the future. © 2021 Technoscience Publications. All rights reserved.

关键词： Groundwater

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Monitoring water color anomaly of lakes based on an integrated method using Landsat-8 OLI images

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International Journal of Digital Earth 2022年第1期15卷 1567-1587页

作者： Xiaoqin Yang Ruqing Tong Li Ma Jian Li Siqi Wang Liqiao Tian State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Hubei LuoJia Laboratory WuhanPeople’s Republic of China Changjiang Spatial Information Technology Engineering Co. Ltd WuhanPeople’s Republic of China School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and TechnologyNanjingPeople’s Republic of China

Water color is a crucial optical indicator of water quality,polluted water bodies often show water color *** comprehensively understand the occurrence of water color anomalies in inland lakes,an integrated method was designed using the hue angle based on the Forel-Ule Index(FUI)model,and other remote sensing indices,including the Turbid Water Index(TWI),Floating Algae Index(FAI),and Cyanobacteria and Macrophytes Index(CMI).Based on all available Landsat-8 OLI images from 2013 to 2020,continuous monitoring was conducted in three different lakes in the middle of the Yangtze River,*** results demonstrated that:(1)The proposed method can accurately identify algal blooms,high sediment loads,and eutrophication from the abnormal water color areas;(2)The calculated hue angles of sediment-dominated water were significantly higher than those of algal blooms and aquatic vegetation,providing a noticeable visual discoloration of water;(3)These water color anomalies exhibited significant correlations with the water quality and environmental *** study serves as an example for accurate and spatially continuous assessment of water color anomaly and supports practical information to facilitate local water environment conservation.

关键词： water color anomaly hue angle spatio-temporal variation inland lakes Landsat-8 OLI

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