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Search Results: 1 - 10 of 32965 matches for " GUO Huadong "
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Analysis on phase information of polarized radar in monitoring vegetation
Qingguo Feng,Huadong Guo
Chinese Science Bulletin , 2001, DOI: 10.1007/BF02900586
Abstract: T-matrix method was employed to analyze the relation between the co-polarization phase difference of back scattering of vegetation and its geometrical and physical parameters, and the effect from the frequency and the incident angle of radar based on this kind of relation. The results showed that the phase difference is affected by the geometrical parameters (such as the shape, the growth state of wattle and leafage etc.) and the physical parameters (such as the real part and the imaginary part of the dielectric constant etc.) in different ways. In addition, the frequency and the incident angle of radar have heavy effect on the results. All of these are significant in assorting crop and monitoring vegetation.
The Temporal-Spatial Distribution of Shule River Alluvial Fan Units in China Based on SAR Data and OSL Dating
Lu Zhang,Huadong Guo
Remote Sensing , 2013, DOI: 10.3390/rs5126997
Abstract: Alluvial fans in arid and semi-arid regions can provide important evidence of geomorphic and climatic changes, which reveal the evolution of the regional tectonic activity and environment. Synthetic aperture radar (SAR) remote sensing technology, which is sensitive to geomorphic features, plays an important role in quickly mapping alluvial fan units of different ages. In this paper, RADARSAT-2 (Canada’s C-band new-generation radar satellite) and ALOS-PALSAR (Japan’s advanced land observing satellite, phased array type L-band SAR sensor) data, acquired over the Shule River Alluvial Fan (SRAF), are used to extract backscattering coefficients, scattering mechanism-related information, and polarimetric characteristic parameters. The correlation between these SAR characteristic parameters and fan units of the SRAF of different ages was studied, and the spatial distribution of fan units, since the Late Pleistocene, was extracted based on the Maximum Likelihood classification method. The results prove that (1) some C-band SAR parameters can describe the geomorphic characteristics of alluvial fan units of different ages in the SRAF; (2) SAR data can be used to map the SRAF’s surface between the Late Pleistocene and the Holocene and to extract the spatial distribution of fan units; and (3) the time-spatial distribution of the SRAF can provide valuable information for tectonic and paleoenvironmental research of the study area.
空间科学学报 , 2010,
Abstract: Themulti-platform,multi-bandandmulti-modeEarthObservation(EO)systemhasbeenestablishedinChinainrecentyears.Theadvancedtechnologiesareplayingmoreandmoreimportantroleforsustainabledevelopmentinwholecountry.ThispaperintroducestheresultsandachievementsofEOmonitoringforagriculture,EOsurveyingforlandresources,EOmonitoringforecologicalenvironment,EOsupportfornationalsurveyingandnationale-government,naturaldisastermonitoringandemergencyresponse.ItpointsoutthattheEOtechnologiescouldcontributemoretothecountry,includinginthefieldofglobalchangeinthecomingdecade.
Spaceborne Multifrequency,Polarametric and Interferometric Radar for Detection of the Targets on Earth Surface and Subsurface

Guo Huadong,

遥感学报 , 1997,
Abstract: Shuttle Imaging Radar C and X-band Synthetic Aperture Radar mission(SIR-C/X-SAR) is an international cooperation program in radar for Earth observation There are 13 countries including China participated in this program SIR-C/X-SAR has three bands-L,C,X,polarimetry and interferometry imaging capability,the L and C band have polarization mode of HH,HV,VH,VV,and X band is only with VV polarization mode This paper introduces the China SIR-C/X-SAR program,its progress and achievements since its begining at six years ago While the shuttle flow over China,the Chinese scientists carried out the real time experiments including the spaceborne-airborne-ground data collection and sand layer penetration experiment Volcanos up to 5600m at sea level is discovered by SIR-C/X-SAR in Kunlun Mountains The lithological and structural features underneath vegetation cover is detected A segment of Great Wall in a desert region of the Ming and Sui dynasty has been identified,even part of the wall buried by Sand The prelimenary results of oceangraphy and urban study is also introduced and theinterferometry technology for generating DEM is presented
Role and Development of Spaceborne Radar Remote Sensing

Guo Huadong,

遥感学报 , 1991,
Abstract: This paper deals with the role of the Seasat SAR, SIR-A and SIR-B in earth science research, which have acquired the spaceborne radar images of the earth surface uniquely. The activities of the active microwave remote sensing in the coming ten years have been described, especially the ALMAZ SAR, ERS-1 SAR, JERS-1 SAR, SIR-C, Radarsat SAR and EOS SAR systems. It is prospected that the 1990's will be the key decade for technical development and geoscience application of the spaceborne radar remote sensing.
Shuttle imaging radar-C (SIR-C) detection for the Cenozoic volcanoes in West Kunlun, China
Huadong Guo,Jingjuan Liao,Changlin Wang
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882880
Retrieving dry snow density with SIR-C polarimetric SAR data
Zhen Li,Huadong Guo,Jiancheng Shi
Chinese Science Bulletin , 2001, DOI: 10.1007/BF02900605
Abstract: For a given incidence angle at the snow surface, a greater snow density causes a greater change in the incidence angle at the snow-ground interface; for a given snow density, however, a larger incidence angle at the snow surface results in a greater change in the refractive angle in the snow layer, by comparing the difference of incidence angle at the snow-ground interface and the air-snow interface with different snow density. Algorithm for estimating dry snow density used backscattering measurements with polarimetric SAR at L-band frequency is developed based on simulation of the surface backscattering componentsσ g hh andσ g vv using the IEM model and regression analysis. The comparison of the estimated snow density from SAR L-band images with that from field measurements during the SIR-C/X-SAR overpass shows root means square error of 0.050 g/cm3. It shows that this algorithm can be accurately used to estimate dry snow density distribution.
Analysis of the Differences and Linkage between Chinese and American Stock Markets  [PDF]
Huadong Liu
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.83047
Abstract: This paper compares the stock markets of China and the United States from several aspects, such as the first class IPO market mechanism, secondary security market mechanism, and the market supervision mechanism. Overall, China’s stock market lags behind the United States stock market. Then, this paper expounds the transmission channel of stock market linkage and the related theory of stock market linkage. Through the trade between countries, the economic spillover effect, the gradual increase of transnational listing, and the globalization of stock companies, the paper explores the related ways of Chinese and American stock markets from four aspects, and tries to analyze the formation mechanism of the linkage between China and America stock markets in four channels: International trade, financial capital, policy and expectation. Finally, a conclusion is drawn: With the development of China’s economy and opening of the stock market system, the stock market linkage between China and the United States is increasing gradually.
An improved automatic detection method for earthquake-collapsed buildings from ADS40 image
HuaDong Guo,LinLin Lu,JianWen Ma,Martino Pesaresi,FangYan Yuan
Chinese Science Bulletin , 2009, DOI: 10.1007/s11434-009-0461-3
Abstract: Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred, experts from CEODE and IPSC collaborated to make a rapid earthquake damage assessment. A crucial task was to identify collapsed buildings from ADS40 images in the earthquake region. The difficulty was to differentiate collapsed buildings from concrete bridges, dry gravels, and landslide-induced rolling stones since they had a similar gray level range in the image. Based on the IPSC method, an improved automatic identification technique was developed and tested in the study area, a portion of Beichuan County. Final results showed that the technique’s accuracy was over 95%. Procedures and results of this experiment are presented in this article. Theory of this technique indicates that it could be applied to collapsed building identification caused by other disasters.
Application of ERS-1 scatterometer data to studying land surfaces
Xiangyun Wang,Chao Wang,Huadong Guo,Yangshen Shi
Chinese Science Bulletin , 1998, DOI: 10.1007/BF03186982
Abstract: ERS-1 WSC data were obtained by international cooperation. The distributive characteristics of radar backscattering coefficient image of China land surface are analyzed and the research results are presented. The capability of ERS-1 WSC data for monitoring land surfaces is investigated. The results show that the radar backscattering coefficient images can reveal the natural landform features of China land. Using the WSC data can discriminate six types of major land coverage, including evergreen vegetation and snow-covered region, vegetation and crops, mountains, grassland, desert and grassland, desert. On the whole, the radar backscattering coefficient image of China land is the synthesis of the vegetation map and terrain map. Statistical study of the typical terrain shows that the radar backscatter coefficients of China land range from 29 dB to 5 dB. The lowest value corresponds to the deserts of Badain Jaran, Takla Makan, and Tengger. The highest value corresponds to snow-covered regions of Himalaya Mountains and Tianshan Mountains.
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