Contents
2020
Volume: 22 Issue 9
15 Article(s)

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Identifying Metro Trip Purpose using Multi-source Geographic Big Data and Machine Learning Approach
Pengjun ZHAO, and Yushu CAO
Identifying metro trip purpose using Smart Card Data (SCD) is important to expand the application of SCD in transport research and transport planning. This paper integrates different types of big data and combines the theories on the interaction between transport and land use. By taking Beijing as a case, we firstly an
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1753 (2020)
Pair-wise Line Matching Algorithm based on Feature Similarity Constraints of Geometric Attributes between the Lines
Wanying HE, and Jingxue WANG
Many same or similar line features may hinder line matching in the image, matching only based on the similarity between individual line, which easily lead to the failure of the algorithm. Therefore, this paper proposed a reliable pair-wise line matching algorithm based on feature similarity constraints of geometric att
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1766 (2020)
Node-centered Edge Clustering and Visualization Algorithm
Zheng ZHANG, Yixin HUA, Yajun ZHANG, Mengxiong ZENG, and Zhenkai YANG
The visualization of the associative relation between objects is mainly expressed by the edges of the graph. But a large number of edges will cause serious visual confusion due to the complexity of the associative relation between objects. Graph layout and edge bundling are both effective methods to solve the problem o
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1779 (2020)
Three-dimensional Dynamic Noise Map based on Traffic Trajectory Data
Leyi FU, Tinghua AI, Li'na HUANG, and Rui XIN
The key characteristics of noise information are spatial propagation and distance attenuation. Traditional noise maps are dominated by two-dimensional and static representations, similar to the heat maps. The researches in the past were focused on the ways to get data or evaluating the accuracy of data, resulting that
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1789 (2020)
Estimating Soil Organic Matter based on Machine Learning Under Sparse Sample
Mingjie LIU, Zhuokui XU, Yunbing GAO, Jing YANG, Yuchun PAN, Bingbo GAO, Yanbing ZHOU, Wanpeng ZHOU, and Ling WANG
To improve the accuracy of soil organic estimation in the case of sparse samples and to construct the soil organic predictive models applying the machine learning methods, GRNN (Generalized Regression Neural Network) and RF(Random Forest). The soil was diluted into 8 samples with different sampling density (2703, 1352,
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1799 (2020)
Study on Estimation Method of Mongolia Grassland Production based on Sparse Samples
Yanjie WANG, Juanle WANG, Haishuo WEI, Ochir ALTANSUKH, Davaasuren DAVAADORJ, and Chonokhuu SONOMDAGVA
Grasslands are one of the most widely distributed land cover vegetation types across the globe. They play a significant role in developing animal husbandry, protecting biodiversity, maintaining soil and water, and keeping ecological balance. Estimating grassland production, a fundamental variable in grassland resource
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1814 (2020)
Spatiotemporal Dynamics of Land Use Right Assignment Transactions in Prefecture-Level Cities of China from 2003 to 2018
Xiaodong ZHANG, Haoying HAN, and Yu CHEN
Using the data of China's land use right assignmentons from 2003 to 2018, the paper visualized the spatial distribution, source, and use of land right assignment, and analyzed the spatial characteristics. The methods of the research included the nuclear density analysis, nuclear density analysis, Getis-Ord, and spa
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1823 (2020)
County Urbanization Level Estimated from Nighttime Light Data in Anhui Province
Yang SUN, Xin LIU, Yacong SU, Shuang XU, Bing JI, and Zhijie ZHANG
Urbanization is an important indicator of regional economic development and social progress. Studying urbanization level is of great significance to urban scientific development and efficient decision-making for government. The night light data contains information on human activities and economic and social developmen
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1837 (2020)
The Land Use Simulation and Delimitation of Urban Development Boundary in County Area based on FLUS-UGB
Shiwei ZHANG, Luyao WEI, Xingxing JIN, and Yuqi LU
Exploring the spatial extent of urban development within acounty is helpful to clarify the spatial relationships between urban land, permanent farmland, and ecological land, which lays an important foundation for the urban sustainable development of a county. Currently, the urban growth boundaries, and the existing per
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1848 (2020)
Management and Application of Domestic Satellite Imagery based on Open Data Cube
Junjie LI, Shubo CHEN, Wen ZHANG, Changhui YU, Zhiyuan ZHANG, and Lingkui MENG
As earth observation enters the big data era, the traditional data management technology has often become insufficient in meeting research needs. As a new open source earth observation data management and analysis platform, Open Data Cube (ODC) is suitable for high-performance computing and exploratory data analysis of
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1860 (2020)
Registration of Airborne LiDAR Data and Multi-View Aerial Images Constrained by Junction Structure Features
Guangshuai WANG, Yi WAN, and Yongjun ZHANG
:The integration of Airborne LiDAR data and aerial imagery is useful in data interpretation, land monitoring, and 3D reconstruction. As the first step of these tasks, the geometric registration of the two types of data should be conducted to ensure their alignment. The alignment is sometimes difficult because of differ
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1868 (2020)
InSAR Tropospheric Delay Error Correction Algorithm based on Multi-Scale Correlation Analysis
Yonghong HE, Pengwei JIN, and Min SHU
Tropospheric delay error in synthetic aperture radar interferometry can affect DEM accuracy. This study adopts wavelet multi-scale correlation analysis to reduce the influence of tropospheric delay error on DEM estimation. This method is based on the wavelet multi-resolution analysis theory and the frequency characteri
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1878 (2020)
Retrieval of Aerosol Optical Depth Using FY3D MERSI2 Data
Hui CHEN, Qing LI, Zhongting WANG, Pengfei MA, Ying LI, and Aimei ZHAO
Until now, relatively few researches of aerosols retrieval have been conducted using domestic satellite remote sensing. To promote domestic satellite remote sensing applications, a set of rapid inversion technology of Aerosol Optical Depth (AOD) using remote sensing was developed in this study based on FY-3D/MERSI2 dat
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1887 (2020)
Research on Recognition Methods of Elm Sparse Forest based on Object-based Image Analysis and Deep Learning
Ang CHEN, Xiuchun YANG, Bin XU, Yunxiang JIN, Wenbo ZHANG, Jian GUO, Xiaoyu XING, and Dong YANG
Elm sparse forest is a special vegetation type in Hunsh and ake sandy land. It has important significance for maintaining the stability of regional ecosystem, and plays a key role in sand fixation, water conservation and climate regulation. Rapid and accurate access to the distribution of elm sparse forest is conducive
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1897 (2020)
Assessment of Normalized Difference Vegetation Index from Different Data Sources in Grassland of Northern China
Ruru CHEN, Zhongmin HU, Shenggong LI, and Qun GUO
Productivity of grasslands in northern China plays an important role in regional carbon-water cycle and the development of agriculture and husbandry. Normalized Difference Vegetation Index (NDVI) has been widely used as an indicator of net primary productivity. However, it still remains unclear about the consistency am
Journal of Geo-information Science
  • Publication Date: Sep. 25, 2020
  • Vol. 22, Issue 9, 1910 (2020)
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