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23rd International Conference on Geoinformatics, Geoinformatics 2015

作者： Wang, Chongyang Li, Dan Zhou, Xia Huang, Siyu Liu, Wei Weiqi, Chen Shuisen, Chen Guangdong Open Laboratory of Geospatial Information Technology and Application Guangdong Key Lab. of Remote Sensing and Geographical Information System Technology Application Guangzhou Institute of Geography Guangzhou510070 China Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China University of Chinese Academy of Sciences Beijing100049 China Department of Geography and Anthropology Louisiana State University Baton RougeLA70803 United States

ISBN: (纸本)9781467376631

Accurate and reliable information on land use is a basis of agricultural disaster warning and emergency action. The natural disasters typhoon, cold disaster, drought, and so on, have great influences on agricultural production in Guangdong Province, China. Through literature analysis at home and abroad, it was pointed out that Chinese HJ satellites have become important sources of remote sensing images due to short imaging period and broad coverage (about 2 days and 700km). It also advances the free sharing of OLI data on the new generation of remote sensor of Landsat. Considering the severe orbit deviation and frequent phenology changes of agricultural land use, this paper described and laid emphasis on the necessity and perspective of developing multi-scale (1:500,000, 120,000, 150,000) agricultural land use products of Provincial-City-County within Guangdong through the usage of relatively fixed ground control point database and spectral library based advanced hierarchical classification technologies supported by HJ satellite data. Such a tendency of quick disaster emergency response for land use dynamic implies a technological focus on the usage of above-mentioned advanced HJ satellite technologies. Based on Landsat images, we also built the 11 united ground control points (40 points at most for whole Guangdong Province) and standardized the technology system of land use remote sensing mapping with the combination of spectral library-based hierarchy classification technology. Selected key technologies for enhancing land use production mapping efficiency and accuracy that involve Landsat OLI and HJ satellites are presented and discussed. The HJ satellite is an effective information source for land use dynamic mapping under emergency action such as disaster damage evaluation, which can provide a short imaging period with wide spatial coverage and enhance the ability of land use data acquirement from one to three or four times or so in one year. The building of rel

关键词： Agriculture

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Rice lodging disaster monitoring method based on multi-source remote sensing data

Rice lodging disaster monitoring method based on multi-sourc...

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2022 International Conference on Geographic information and Remote Sensing technology, GIRST 2022

作者： Dai, Xuemei Chen, Shuisen Jiang, Hao Nainarpandian, Chandrasekar Guangzhou Institute of Geography Guangdong Academy of Sciences Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and Application Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data Guangzhou China Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou China Centre for Geotechnology Manonmaniam Sundaranar University Tamil Nadu Tirunelveli627012 India

ISBN: (纸本)9781510662186

Lodging is a major yield-limiting factor in rice. Accurate assessment of rice lodging is essential for yield damage estimation, agricultural insurance claims settlement and subsequent management decisions. This study aims to explore the effect of lodging on backscatter/coherence and spectral reflectance derived from Sentinel-1 and Sentinel-2 data. Based on this, an extraction method of lodging rice distribution using multi-source remote sensing data was proposed. The results showed that: (a) The lodging area of rice could be effectively extracted from dual-polarization Sentinel-1 image data with an accuracy of 87.87%;(b) The vegetation indices (NDVI, DVI and LSWI) extracted by Sentinel-2 are sensitive to lodging rice. Based on a certain threshold, lodging rice can be effectively extracted with an accuracy of 87.5%. Our findings demonstrate the potential of Sentinel data for near real-time detection of the rice lodging. © 2023 SPIE.

关键词： Polarization

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Social inequity of park accessibility in Taiyuan:highlighting the unfair layout of parks in second-tier cities of China and the relative role of contributors

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地球空间信息科学学报（英文版） 2024年第4期27卷 1118-1140页

作者： Jing He Fu Ren Jiaxin Dong Huihui Zhang Wenhao Yan Jiping Liu School of Resource and Environmental Sciences Wuhan UniversityWuhanChina School of Resource and Environmental Sciences Wuhan UniversityWuhanChina Key Laboratory of Geographic Information Systems Ministry of EducationWuhan UniversityWuhanChina School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina Guangdong Provincial Department of Natural Resources Land and Resources Technology CenterGuangzhouChina Research Center of Geospatial Big Data Application Chinese Academy of Surveying and MappingBeijingChina

The scarcity of public resources and environmental pollution caused by rapid urbanization highlight the practical significance of parks in ensuring the sustainable development of a ***,the social equity of parks warrants further *** paper proposes a fine-grained comprehensive evaluation framework that combines geographic accessibility models,geo-statistical analysis,and machine learning algorithms to explore social inequity in Taiyuan,*** this framework,gini coefficient and lorentz curve express spatial equality,accessibility shows spatial equity,and ridge regression model handles the interdependence of variables with different dimensions to quantify the relative effects of local participants on changes in park *** this basis,the imbalance between vulnerable groups and park supply is analyzed to further understand the core concept of social *** highlight serious spatial inequality in all three types of parks allocation of six urban areas,especially in commu-nity *** actual access level of people to parks is also stratified by their demographic and socioeconomic characteristics,revealing the social inequity in access to *** distribution is indeed not conducive to some social vulnerable groups,whose contradiction between supply and demand is highly prominent in urban-rural junctions and new urban *** paper also confirms the unfair layout of public facilities can be observed in second-tier cities of China by highlighting the social inequity of parks in *** findings of this work have profound implications for urban planning and sustainable development.

关键词： Parks social inequity spatial equality accessibility social vulnerable groups Taiyuan

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Matrix calculation of high-dimensional cross product and its application in automatic recognition of the endmembers of hyperspectral imagary

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Science China(information Sciences) 2011年第1期54卷 197-203页

作者： GENG XiuRui1,ZHAO YongChao1,LIU SuHong2 & WANG FuXiang3 1key laboratory of technology in Geo-spatial information Processing and application system, Institute of Electronics,Chinese Academy of Sciences,Beijing 100080,China 2State key laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing applications of Chinese Academy of Sciences, School of Geography,Beijing Normal University,Beijing 100875,China 3School of Electronics and information Engineering,Beihang University,Beijing 100191,China 1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing 100080 China2. State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences School of Geography Beijing Normal University Beijing 100875 China3. School of Electronics and Information Engineering Beihang University Beijing 100191 China

This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3-D cross product definition into the high-dimensional vector *** on the properties of the cross product,the volume variance index(VVI)is proposed to be used in extracting automatically the endmembers of the hypherspectral imagery which eliminates the shortcoming of the traditional method of using simplex only where the extraction results were easily impacted by the abnormal pixels.A case study of endmembers extraction experiment using the VVI method with the AVIRIS data for Cuprite has shown a very good result.

关键词： endmember simplex hyperspectral imagery cross product

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STUDY ON THE THREE DIMENSION IMAGING METHODS OF FULLY-POLARISED ARRAY INSAR

STUDY ON THE THREE DIMENSION IMAGING METHODS OF FULLY-POLARI...

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IET International Radar Conference 2023, IRC 2023

作者： Song, Shujie Qiu, Xiaolan Shangguan, Songtao Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Suzhou Key Laboratory of Microwave Imaging Processing and Application Technology Suzhou China Suzhou Aerospace Information Research Institute Suzhou China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Aerospace Information Research Institute Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781839539954

Fully-polarised (FP) array interferometric Synthetic Aperture Radar (FP-Array-InSAR) is an important technology in three-dimensional (3D) reconstruction and image interpretation of various scattering mechanisms (SMs) by exploiting the structural and polarisation properties of the targets. There has been a solid foundation for multi-baseline PolInSAR, but lack of systematic comparison and analysis for FP-Array-InSAR. Relying on the UAV-borne FP-Array-InSAR system developed by our research team, this paper applies two 3D imaging methods, one based on polarisation decomposition and the other based on multibaseline (MB) polarimetric coherence optimization, to four-channel FP-array-InSAR datasets from Suzhou, China. Finally, this paper compares and analyses the experimental results of these two methods, and then gives their applicable scenarios. Such comparative experiments are positive for the rational selection and application of different methods in FP-array-InSAR. © The Institution of Engineering & technology 2023.

关键词： Radar imaging

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Anthropogenic Carbon Monoxide Emissions During 2014–2020 in China Constrained by In Situ Ground Observations

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Journal of Geophysical Research: Atmospheres 2025年第10期130卷

作者： Mengwei Jia Fei Jiang Nikolaos Evangeliou Sabine Eckhardt Andreas Stohl Xin Huang Yang Shen Shuzhuang Feng Wei He Jun Wang Hengmao Wang Mousong Wu Weimin Ju Aijun Ding Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System Science Nanjing University Nanjing China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing China Frontiers Science Center for Critical Earth Material Cycling Nanjing University Nanjing China Department of Atmospheric and Climate Research NILU Kjeller Norway Department of Meteorology and Geophysics University of Vienna Vienna Austria Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric Sciences Nanjing University Nanjing China

China has been actively reducing anthropogenic air pollutant emissions over the past decade and is about to embark on the next phase of air quality management. Carbon monoxide (CO) is an ideal indicator of primary pollutants from combustion sources. A comprehensive assessment of the current situation of anthropogenic CO emissions can inform the implementation of future reduction policies. This work aims to determine the changes of anthropogenic CO emissions in mainland China from 2014 to 2020 at 0.2° × 0.2° spatial resolution. Hourly CO observations from over 1,600 national control sites were combined with Lagrangian dispersion modeling and multisectoral emission inventories in a Bayesian inversion framework, to determine monthly CO emissions. From 2014 to 2020, the average annual anthropogenic CO emission in mainland China was 473.6 ± 117.2 Tg a −1 , which is 2.5 times higher than the prior emission. Northwest China stands out as the most underestimated region with a relative difference of an astonishing 6.3 times between prior and posterior emissions. The emissions generally decreased by 32.0% from 2014 to 2020, but with a clear rebound in 2017 and 2018, and Yunnan in the southwest and Xinjiang in the northwest are the most pronounced rebound provinces. Optimizing the management of direct emissions in the future requires not only focusing on key urban agglomerations but also strengthening controls in remote provinces. The anthropogenic CO emissions in China from 2014 to 2020 are constrained by in situ ground observations The average annual anthropogenic CO emission was 473.6 ± 117.2 Tg a −1 , which is 2.5 times higher than the emission inventory The emissions generally decreased by 32.0%, but with a clear rebound in 2017 and 2018 Over the past decade, China has implemented some of the strictest air pollution control measures in the world, leading to major changes in its industrial structure, energy production structure, energy intensity, and emissions intensity. A

关键词： carbon monoxide China anthropogenic emission Lagrangian model Bayesian algorithm

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Research on Change of Land Use Based on Decision Tree in the Horqin Sandy Land in the Past 25 Years 7th

Research on Change of Land Use Based on Decision Tree in the...

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7th International Conference on Geoinformatics in Sustainable Ecosystem and Society, GSES 2019, and 1st International Conference on geospatial Artificial Intelligence for Urban Computing, GeoAI 2019

作者： Wang, Shuxiang Han, Liusheng Yang, Ji Li, Yong Zhu, Congjun Zhao, Qian Zhao, Zhenzhen Liu, Li Zhang, Ruiping Shandong University of Technology Zibo255000 China Guangdong Key Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangzhou510070 China Ludong University Yantai264001 China Bayannur Electric Power Bureau Bayannur015000 China

ISBN: (纸本)9789811561054

Horqin Sandy Land is a key area for the construction of northeast shelterbelts. Ecological environment of the area is fragile and vulnerable to damage. However, there is a lack of research on the long time series and continuous system in Horqin Sandy Land. Therefore, it is urgent to grasp the impact of policies of the Three-North Shelterbelt Program on Horqin Sandy Land and analysis the differences in land use patterns in the Horqin Sandy Land before and after implementing restoration projects. In this paper, six counties in Horqin Sandy Land are used as the research areas. Six Landsat TM / ETM + / OLI remote sensing images from 1990 to 2015 are collected. Based on the NDVI, NDWI, NDBI, and the principle of spectral hybrid analysis, a decision tree classification method is used to put the satellite image data divided into seven categories: sandy land, cultivated land, waters, forest land, grassland, residential land, and saline-alkali land. The accuracy of the classification results is verified on the basis of high-resolution images and yearbook data. The results show that: (1) Analysis is made from the perspective of land use dynamics. During the period of 1990–2015, the area of cultivated land and residential land continued to increase. The area of salinized land, water body and grassland fluctuated little, and decreased generally. The forest land and desertification area fluctuated greatly and the overall trend was "increase-decrease-increase";the overall trend of sandy land was "decrease-increase-decrease". The areas of grassland, woodland and sandy land showed a negative correlation. (2) Analysis is made from the perspective of spatial distribution pattern of land use types, each of land types has undergone dramatic changes, among which grassland, cultivated land, forest land, and sandy land are the most important types of change. (3) Twenty-five years after the implementation of the Three-Norths Shelter Program, the ecological environment of Horqin Sandy Land

关键词： Land use

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An improved HASM method for dealing with large spatial data sets

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Science China Earth Sciences 2018年第8期61卷 1078-1087页

作者： Na ZHAO Tianxiang YUE Chuanfa CHEN Miaomiao ZHAO Zhengping DU State Key Laboratory of Resources and Environment Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application Nanjing 210023 China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100101 China Geomatics College Shandong University of Science and Technology Qingdao 266510 China

Surface modeling with very large data sets is challenging. An efficient method for modeling massive data sets using the high accuracy surface modeling method(HASM) is proposed, and HASM_Big is developed to handle very large data sets. A large data set is defined here as a large spatial domain with high resolution leading to a linear equation with matrix dimensions of hundreds of thousands. An augmented system approach is employed to solve the equality-constrained least squares problem(LSE) produced in HASM_Big, and a block row action method is applied to solve the corresponding very large matrix equations.A matrix partitioning method is used to avoid information redundancy among each block and thereby accelerate the *** including numerical tests and real-world applications are used to compare the performances of HASM_Big with its previous version, HASM. Results show that the memory storage and computing speed of HASM_Big are better than those of HASM. It is found that the computational cost of HASM_Big is linearly scalable, even with massive data sets. In conclusion,HASM_Big provides a powerful tool for surface modeling, especially when there are millions or more computing grid cells.

关键词： Surface modeling HASM Large spatial data

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Sensitivity analysis of along-track interferometric synthetic aperture radar (ATI-SAR) in the presence of squint

Sensitivity analysis of along-track interferometric syntheti...

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IET International Radar Conference 2013

作者： Hui, Zhang Jun, Hong University of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Beijing Institute of Electronics China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Technology Beijing China Science and Technology on Microwave Imaging Laboratory Beijing China

ISBN: (纸本)9781849196031

Along-Track Interferometric Synthetic Aperture Radar (ATISAR) has the potential of measuring the radial velocity of the slowly moving target. The accuracy of the radial velocity is mainly determined by the accuracy of the interferometric parameters. Sensitivity equations are good ways of analysing the impacts of system parameters for interferometric SAR. Former sensitivity analysis for ATI-SAR has been mainly focused on the case of no squint angle. In this paper, we explain the necessity of analysing the sensitivity equations in the presence of squint angle. Then the expression of the radial velocity in the presence of squint is derived and the sensitivity equations are obtained. Finally, the sensitivity of some interferometric parameters and the impact of squint angles are analysed and simulated for a particular accuracy requirement.

关键词： Sensitivity analysis

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Visual analyses of music download history: User studies 22nd

Visual analyses of music download history: User studies

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22nd International Conference on MultiMedia Modeling, MMM 2016

作者： Liu, Dong Zhang, Jingxian CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China Department of Computer Science University of Illinois at Urbana-Champaign ChampaignIL United States

ISBN: (纸本)9783319276700

Users’ download history is a primary data source for analyzing user interests. Recent work has shown that user interests are indeed time varying, and accurate profiling of user interest drifts requires the temporal dynamic analyses. We have proposed a visualization approach to analyzing user interest drifts from the download history, taking music as an example, and studied how to depict the underlying relevances among the downloaded music items to identify the drifts. We designed three new kinds of plots to display the music download history of one user, namely Bean plot, Transitional Pie plot, and Instrument plot. In this paper, we report our conducted user studies that ask normal users to visually analyze the download history of other users in a given realworld data set. User studies are performed in a learning-practice-test workflow. The results demonstrate the feasibility of our visualization design. © Springer International Publishing Switzerland 2016.

关键词： Visualization

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