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Geo-spatial Information Science, Volume 23
Volume 23, Number 1, 2020
Invited Articles
- Jack Dangermond, Michael F. Goodchild:
Building geospatial infrastructure. 1-9 - Christian Heipke
, Franz Rottensteiner
Deep learning for geometric and semantic tasks in photogrammetry and remote sensing. 10-19
- John C. Trinder
Assessing environmental impacts of urban growth using remote sensing. 20-39
- Deren Li, Zhenfeng Shao, Ruiqian Zhang
Advances of geo-spatial intelligence at LIESMARS. 40-51 - Wolfgang Kainz
Cartography and the others - aspects of a complicated relationship. 52-60 - Liqiu Meng
An IEEE value loop of human-technology collaboration in geospatial information science. 61-67 - Monika Sester
Analysis of mobility data - A focus on Mobile Mapping Systems. 68-74 - Jie Shan
Toward a unified theoretical framework for photogrammetry. 75-86
- Kaichang Di
Geospatial technologies for Chang'e-3 and Chang'e-4 lunar rover missions. 87-97 - Liangpei Zhang
Review on graph learning for dimensionality reduction of hyperspectral image. 98-106
- Tsehaie Woldai
The status of Earth Observation (EO) & Geo-Information Sciences in Africa - trends and challenges. 107-123
Volume 23, Number 2, 2020
- Bo Huang
Big spatial data for urban and environmental sustainability. 125-140 - Andreas Keler
Extracting commuter-specific destination hotspots from trip destination data - comparing the boro taxi service with Citi Bike in NYC. 141-152 - Khanh Giang Le
Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi, Vietnam. 153-164
- Desta Ekaso
Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing. 165-181
- Confiance Mfuka
Spatiotemporal characteristics of white mold and impacts on yield in soybean fields in South Dakota. 182-193
Volume 23, Number 3, 2020
- Muhamad Farid Ramli, Khairul Nizam Tahar
Homogeneous tree height derivation from tree crown delineation using Seeded Region Growing (SRG) segmentation. 195-208 - Fazzami Othman
Assessing the visualization of space and traffic volume using GIS-based processing and visibility parameters of space syntax. 209-221 - István G. Laukó, Adam Honts, Jacob Beihoff, Scott Rupprecht:
Local color and morphological image feature based vegetation identification and its application to human environment street view vegetation mapping, or how green is our county? 222-236 - Jing Geng
Support vector machine regression (SVR)-based nonlinear modeling of radiometric transforming relation for the coarse-resolution data-referenced relative radiometric normalization (RRN). 237-247 - Yufan Zuo, Zhiyuan Liu
Measuring accessibility of bus system based on multi-source traffic data. 248-257 - Qi Zhou
Exploring point zero: a study of 20 Chinese cities. 258-272
Volume 23, Number 4, 2020
- Huayi Wu, Zhipeng Gui
Geospatial big data for urban planning and urban management. 273-274
- Oliver Lock
Social media as passive geo-participation in transportation planning - how effective are topic modeling & sentiment analysis in comparison with citizen surveys? 275-292 - Daniela Vanessa Rodriguez Lara
Equity issues and the PeCUS index: an indirect analysis of community severance. 293-304 - Takashi Yamada
Analysis of shopping behavior characteristics in the Keihanshin metropolitan area in Japan based on a person trip survey. 305-315 - Ziyu Tong
Quantification of the openness of urban external space through urban section. 316-326 - Chen Yang
Characterizing the spatial and temporal variation of the land surface temperature hotspots in Wuhan from a local scale. 327-340 - Yi Qi, Sonam Chodron Drolma, Xiang Zhang, Jing Liang, Haibing Jiang, Jiangang Xu, Tianhua Ni:
An investigation of the visual features of urban street vitality using a convolutional neural network. 341-351 - Ping Shen, Linxin Ouyang, Chong Wang, Yin Shi, Yiheng Su:
Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data. 352-361 - Egor Smirnov, Sergei Dunaenko, Sergei Kudinov:
Using multi-agent simulation to predict natural crossing points for pedestrians and choose locations for mid-block crosswalks. 362-374
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