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IEEE International Symposium on Geoscience and remote sensing (IGARSS)

作者： Lele Li Tong Chao Haihua Chen Lili Zhan College of Marine Technology Faculty of Information Science and Engineering Ocean University of China Qingdao China Department of Remote Sensing Science and Technology College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Due to the amplified climate effect of the Arctic, the volume of Arctic sea ice and the amount of multiyear ice have been continuously decreasing, and the melting time of summer snow has gradually get earlier, which greatly affecting the exchange of water and heat between the surface and atmosphere in the Arctic, thereby accelerating the warming of the Arctic which have shown a significant impact on global climate change. Taking the FY3B (FengYun-3B)/MWRI (MicroWave Radiometer Imager) as an example, this paper studies how to use the brightness temperature of the Microwave radiometer to effectively determine the sea ice Type. Based on the differences in radiation characteristics of different sea ice types, we use the contrast ratio and dynamic threshold method to retrieve the classification of the Arctic sea ice. Comparing the results with The Global Sea Ice Type products, it is shown that the misjudgment of multiyear ice on offshore areas have significant reduction in our results, and the multiyear ice coverage is basically consistent between the two types of data. The method used in this study can effective retrieve sea ice types in the Arctic.

关键词： Microwave integrated circuits Electromagnetic heating Heuristic algorithms Microwave theory and techniques Microwave amplifiers Microwave radiometry Arctic

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Building shadow extraction and height calculation using GF-2 remote sensing images

Building shadow extraction and height calculation using GF-2...

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2023 International Conference on remote sensing, Mapping, and Geographic Systems, RSMG 2023

作者： Xu, Yubin Li, Rong Wang, Chengrui Huang, Chuming Qin, Kun Xu, Kai China Academy of Civil Aviation Science and Technology Beijing China Faculty of Geographic Information Engineering China University of Geosciences Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China

ISBN: (纸本)9781510668898

This paper proposes a shadow extraction method for GF-2 remote sensing images based on Stacking. The method uses Multiple Linear Regression Model as the second layer model to fuse the results of shadow extraction obtained by NDUI, NIS and C3 which are used as the first-layer base learners of the model. The comparison experiments demonstrate that the proposed method is superior to these traditional shadow operators such as NDUI, NSI and C3 in the accuracy of building shadow extraction. Finally, the height of the buildings is estimated using the shadow lengths and the imaging geometry method. The experimental results show that the average error of the building's height estimated is less than 1m. © 2023 SPIE.

关键词： Decision making

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Impact of net-zero emissions on atmospheric CO_(2) concentration in China: Ideal simulations based on the GEOS-Chem model

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science China Earth sciences 2025年第3期68卷 867-881页

作者： Jingye TAN Jun WANG Huiqin MAO Hengmao WANG Zhiqiang LIU Meirong WANG Ran YAN Xunmei WANG Fei JIANG Frontiers Science Center for Critical Earth Material Cycling International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural ResourcesSchool of Geography and Ocean ScienceNanjing UniversityNanjing 210023China Satellite Environmental Application Center Ministry of Environmental ProtectionBeijing 100094China CMA Key Open Laboratory of Transforming Climate Resources to Economy Chongqing Institute of Meteorological SciencesChongqing 401147China State Key Laboratory of Climate System Prediction and Risk Management Key Laboratory of Meteorological DisasterMinistry of EducationCollaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China Xizang Field Station for Scientific Observation and Research on Atmospheric Water Cycle in Mêdog Xigazêand Mêdog National Climate ObservatoryXizang Meteorological ServiceLhasa 850000China

Elevated atmospheric carbon dioxide(CO_(2)) concentrations have caused global climate change such as global warming and more frequent climate extremes. Countries worldwide have proposed carbon neutrality strategies to curb the rising CO_(2) concentrations. To investigate the impact of China's carbon neutrality goal on atmospheric CO_(2) concentrations, we conducted a series of ideal simulations from 2015 to 2019 using a global 3D chemistry transport model, Goddard Earth Observing System Chemistry(GEOS-Chem). Compared with the column-averaged dry-air mole fraction of atmospheric CO_(2) (XCO_(2) ) from Orbiting Carbon Observatory-2(OCO-2) and surface CO_(2) measurements in Obs Pack, we find that GEOS-Chem effectively reproduces the spatiotemporal variability of CO_(2) . The model exhibits a root mean square error(RMSE) of 1.51 ppm(R^(2)=0.89) for OCO-2 XCO_(2) in China and 2.65 ppm(R^(2)=0.75) for surface CO_(2) concentrations at the WLG station. Further, compared to 2.83 ppm yr^(-1)in the control experiment, we suggest that net-zero CO_(2) emissions in China decelerate the increasing trends of XCO_(2) to 1.81 ppm yr^(-1),making a decrease of approximately 35.89%. Meanwhile, the seasonal cycle amplitude(SCA) of XCO_(2) is moderately reduced from 7.39±0.81 to 6.75±0.70 ppm, representing a relative reduction of 9.91%. Spatially, net-zero CO_(2) emissions induce a more significant decrease in XCO_(2) trends over northern and southern China, while their impact on SCA is more evident in northern and northeastern China. Moreover, ideal experiments demonstrate that zero fossil CO_(2) emissions lead to a greater attenuation of the linear trends of XCO_(2) by 40.81%, while the absence of terrestrial CO_(2) sinks largely diminishes the SCA by 16.61%. Additionally,trends and SCA in surface CO_(2) concentrations exhibit almost identical decreasing responses to net-zero CO_(2) emissions but display greater sensitivities compared to XCO_(2) . Overall, our study underscores the pote

关键词： XCO_(2) GEOS-Chem Carbon neutrality Net-zero emissions Surface CO_(2)concentrations

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Analysis of visible infrared imaging radiometer suite capability for population estimation on java island

Analysis of visible infrared imaging radiometer suite capabi...

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2021 Joint International Conference on Geospatial Asia-Europe 2021 and GeoAdvances 2021

作者： Nurhadi, M.D.H. Cahyono, A. Program in Cartography and Remote Sensing Department of Geographic Information Science Faculty of Geography Universitas Gadjah Mada Yogyakarta Indonesia Department of Geographic Information Science Faculty of Geography Universitas Gadjah Mada Yogyakarta Indonesia

Population data, despite their significance, are often missing or difficult to access, especially in cities/regencies not belonging to the metropolitan areas or centers of various human activities. This hinders practices that are contingent on their availability. In this study, population estimation was carried out using nighttime light imagery generated by the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument. The variable illuminated area was integrated with the population data using linear regression based on an allometric formula so as to produce a regression value, correlation coefficient (r), and coefficient of determination (r2). The average r2 between the illuminated area and the total population was 0.86, indicating a strong correlation between the two variables. Validation using samples of population estimates from three different years yielded an average error of 73% for each city and 7% for the entire study area. The estimation results for the number of residents per city/regency cannot be used as population data due to the high percent error, but for the population on a larger regional scale, in this case, the island of Java, they have a much smaller percent error and can be used as an initial picture of the total population. © 2022 International Society for Photogrammetry and remote sensing. All rights reserved.

关键词： Errors

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Shallow Subsurface Structure of the Moon:Key Questions for Future Exploration

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Space(science & technology) 2024年第1期4卷 111-136页

作者： Zhizhong Kang Xiaojian Xu Yi Xu Shuo Yao Zhonglu Lei Boxun Zhang Jinhao Cai Meng Xiao Teng Hu School of Land Science and Technology China University of Geosciences(Beijing)Beijing 100083China Subcenter of International Cooperation and Research on Lunar and Planetary Exploration Center of Space ExplorationMinistry of Education of the People’s Republic of ChinaBeijing 100083China Research Center of Lunar and Planetary Remote Sensing Exploration China University of Geosciences(Beijing)Beijing 100083China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao 519020China School of Geophysics and Information Technology China University of Geosciences(Beijing)Beijing 100083China

Lunar shallow subsurface structure is important in revealing the formation and evolution of the ***,a review of key issues in the lunar shallow subsurface structure will help deepen our understanding of the *** a global perspective,lunar shallow subsurface structure is formed by endogenic and exogenic geological processes such as volcanic activities,tectonic activities,meteorite impacts,and space *** morphological characteristics and stratigraphic structure record the evolution of these geological *** lunar exploration missions have returned new samples and high-resolution data that have greatly enriched our *** the basis of reviewing the research progress of radar detection,crater-based excavation analysis,material inversion,and heat flow measurement,we also discuss the processes that contribute to the formation of the lunar shallow surface structure,such as volcanoes,impacts,tectonics,and space *** main hot issues were sorted out and focused on 3 areas:transformation of lunar shallow subsurface structure by geological processes,environment and material composition of the lunar shallow surface structure,and physical properties of lunar shallow surface ***,existing research on the lunar subsurface has made significant progress,but it has also brought more new unsolved *** is necessary to introduce new applied payloads such as synthetic aperture radar(SAR),orbiter subsurface investigation radar(OSIR),or time-domain electromagnetic sounding(TDEM)to provide higher-resolution subsurface data,and develop better interpretation methodologies,to further deepen the understanding of the lunar shallow subsurface structure and indeed reveal the mechanism of lunar geological evolution.

关键词： deepen our understanding lunar shallow subsurface structure geological processes morphological characteristics shallow subsurface structure crater based excavation radar detection endogenic exogenic geological processes

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SwinUCDNet: A UNet-like Network With Union Attention for Cropland Change Detection of Aerial Images 30

SwinUCDNet: A UNet-like Network With Union Attention for Cro...

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30th International Conference on Geoinformatics, Geoinformatics 2023

作者： Wu, Zehua Chen, Ying Meng, Xiaoliang Huang, Yiwen Li, Tinghao Sun, Jieyan Wuhan University School of Remote Sensing and Information Engineering Wuhan China Guangxi Taihui Information Technology Co. Ltd Guilin China Hubei University School of Resources and Environmental Science Wuhan China

ISBN: (纸本)9798350344240

Cropland conversion disrupt local agricultural production systems and pose a serious threat to global food security. The use of remote sensing for change detection (CD) can detect and prevent such events in a timely manner. However, existing CD methods struggle to produce change detection results efficiently and accurately. Additionally, the limited receptive field of the convolution process prevents CNN-based approaches from catching long-range relationships. The Vision Transformer, on the other hand, excels in a variety of vision-related tasks, including picture classification, object detection, and semantic segmentation, and has significant promise for modeling long-range relationships. Because of this, in this research we suggest a UNet-like network with union attention for detecting changes in cropland using aerial remote sensing images. We utilize a Swin Transformer backbone as the encoder and an effective union-attention Transformer block to build the decoder in a Transformer-based encoder-decoder structure. The application of a multibranch prediction head with two CNN classifiers yields change maps and enhances deep layer supervision. The effectiveness and advantages of the SwinUCDNet have been demonstrated through comparative experiments with several CD methods. © 2023 IEEE.

关键词： Antennas

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An internally damped inertial platform for marine gravimetry and a test case in the South China Sea

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Journal of Oceanology and Limnology 2023年第2期41卷 816-829页

作者： Pengfei WU Lin WU Lifeng BAO Long WANG Bo WANG Danling TANG State Key Laboratory of Geodesy and Earth’s Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China University of Chinese Academy of Sciences Beijing 100049China Guangdong Remote Sensing Center for Marine Ecology and Environment(GDRS) Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)Guangzhou 511458China School of Geography and Information Engineering China University of GeosciencesWuhan 430074China

To dampen periodic off-levelling motions within an inertial platform while undergoing horizontal accelerations of the same period and to achieve a levelling accuracy of a few tens of arcseconds with that system,an internally damped inertial platform for a marine scalar gravity system was the *** for attenuating horizontal acceleration and reducing off-levelling error by a satisfactory gyro-levelling loop,which are fundamental to the internally damped inertial platform,were designed and *** addition,phase delays are introduced by the levelling *** resulting off-levelling gravity errors were analyzed and modeled.A series of tests on a motion simulator were performed in laboratory for a variety of simulated sea *** found that the motion of the platform is a function of the amplitude and period of the simulated ship motions and ranges between 10 and 40 *** addition,the phase lag between platform motion and ship motion is not constant but ranges 180°-270°,depending on the period and amplitude of the ***,the platform,on which a gravimeter was mounted,was installed on the R/V Shiyan 2 to conduct a gravity survey in the South China *** rough sea conditions,it was shown that in short periods of 2-30 s,the off-levelling angle was less than 30 arcseconds,and the phase lagged the horizontal acceleration by 230°-260°.From a repeated survey line and intersecting survey points,the estimated errors of gravity measurements were between 1.3 and 1.7 *** marine measurements results were compared with those of satellite altimetry data and show a mean value of 0.5 mGal in a standard deviation of 1.5 mGal.

关键词： internally damped platform gyro-levelling loop marine gravimetry

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Assessing the Impact of Physical Configuration and Lead Time on WRF Forecasting of an Extreme Wind Event

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Journal of Meteorological Research 2025年第1期39卷 154-171页

作者： Rocío OTERO Matías SUAREZ Edgardo PIEROBON Leandro MATURANO Ignacio MONTAMAT Juan Ezequiel SANCHEZ Lucia SANDALIO Andrés RODRIGUEZ Denis POFFO Hydrometeorology Laboratory Department of ExactPhysical and Natural SciencesNational University of CordobaCórdobaX5016GCAArgentina Institute for Advanced Studies in Engineering and Technology National Scientific and Technical Research CouncilCordobaX5016GCAArgentina Radar and Remote Sensing Laboratory Department of MathematicsAstronomyPhysics and Computer ScienceNational University of CordobaCordobaX5016HUAArgentina

The central region of Argentina is known to be a source of some most extreme weather events in the world,which are partially associated with the passage of cold fronts accompanied often by extreme wind *** may cause severe property damage and even loss of human ***,there is a lack of studies that evaluate the performance of the numerical weather prediction(NWP)models such as weather research and forecasting(WRF)model in anticipating this type of weather in the *** study compares the performance of the operational WRF in Argentina using four combinations of various planetary boundary layer(PBL)and microphysics parameterization schemes under varied lead times in predicting an extreme wind event(gusts>30 m s^(-1))in Central *** results demonstrate that the WRF model is capable of providing an acceptable prediction of wind speed during an extreme *** is found that no single combination outperforms the others,although there is a slight tendency for Combination A,which utilizes the Mellor-Yamada-Janjic(MYJ)parameterization for the PBL and the Eta similarity parameterization for the surface layer,to more accurately capture the extreme wind *** with wind gust observations at five weather stations,the wind gust parameterization predicted the intensity and occurrence time of the peak wind,with an acceptable bias(time of peak<±1 h).Analysis of grid configurations(resolutions of 4 vs 9/3/1 km)revealed that higher resolution does not imply an improvement in the wind gust forecast for this particular *** regard to lead time,a shorter lead time does not necessarily result in more accurate ***,it is beneficial to conduct multiple sensitivity runs in order to obtain and understand the dispersion of forecasted wind speeds.

关键词： extreme wind wind event weather research and forecasting(WRF)model wind gust forecast cold front lead time

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Assessing teleconnection influences on the spatial and temporal patterns of meteorological drought in Northwest China

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Big Earth Data 2024年第4期8卷 703-731页

作者： Akinwale T.Ogunrinde Xue Xian Paul Adigun Ifeoluwa S.Adawa Dan Zhao Zhanghong Xing Igbekoyi J.Temitope Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansuChina Department of Engineering Mechanics and Energy University of TsukubaTsukubaJapan Department of Space Environment Institute of Basic and Applied SciencesEgypt-Japan University of Science and Technology(E-JUST)New Borg El-Arab CityAlexandriaEgypt Department of Remote Sensing and GIS Federal University of TechnologyAkureNigeria

This study delves into the complex relationship between teleconnection patterns and meteorological drought in Northwest China,highlighting the crucial influence of global circulation indices on regional drought *** analyzing precipitation and temperature data from 1962 to 2022 using the CN05.1 datasets and incorporating various global circulation indices,the study employs the Standardized Precipitation Evapotranspiration Index(SPEI)to delineate drought *** the Modified Mann-Kendall test and segmented models for trend and change point detection,along with cross wavelet transforms(XWT)and wavelet coherence(WTC)analysis to examine the impact of 15 global circulation indices,the study uncovers significant spatial and temporal climatic *** indicate a significant increase in temperature and precipitation,with March-April-May(MAM)season showing pronounced drought severity mainly due to a significant temperature rise with a value of 0.0420℃/*** point analysis reveals pivotal shifts in climate,highlighting the region’s susceptibility to climate *** study identified strong correlations between drought occurrences and global circulation indices like the Artic Oscillation(AO),Atlantic Multidecadal Oscillation(AMO),Pacific Decadal Oscillation(PDO)and the Southern Oscillation Index(SOI),especially within a 4-8 year timeframe,pointing to the significant role of teleconnections in affecting local drought *** insights are vital for formulating effective drought management and climate adaptation strategies in arid and semi-arid regions,offering valuable guidance for policymakers and researchers focused on improving water resource management and enhancing climate resilience in such vulnerable environments.

关键词： Trend analysis wavelet analysis global climate indices drought index change point detection

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Near-Field High-Speed Target InISAR Imaging Based on Wavenumber Domain Interpolation

Near-Field High-Speed Target InISAR Imaging Based on Wavenum...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Chen, Yijiang Wei, Guohua Li, Yuzhao Wang, Xu Chen, Jichi Beijing Institute of Technology School of Information and Electronics Beijing China Beijing Institute of Remote Sensing Equipment Science and Technology on Electromechanical Dynamic Control Laboratory Beijing China

ISBN: (纸本)9781665452366

In this paper, a near-field high-speed target InISAR imaging method based on wavenumber domain interpolation is proposed. The focusing of the ISAR image is accomplished by performing Stolt interpolation on the echo signal in the wavenumber domain. Three-dimensional imaging is achieved by interferometric imaging algorithms. The algorithm simulation is carried out using the scattering point model generated by the electromagnetic simulation software, and the validity and stability of the algorithm are verified. © 2022 IEEE.

关键词： Interpolation

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