Please login first
Xinqi Zheng      
Timeline See timeline
Xinqi Zheng published an article in March 2019.
Top co-authors See all
Weiming Cheng

51 shared publications

State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Wei Luo

27 shared publications

Department of Geography, Northern Illinois University, DeKalb, IL 60115, USA

Gang Ai

4 shared publications

School of Information Engineering, China University of Geoscience Beijing, Beijing 100083, China

Lulu Zhang

4 shared publications

School of Information Engineering, China University of Geosciences, Beijing 100083, China

Qing Huang

4 shared publications

School of Information Engineering, China University of Geosciences, Beijing 100083, China

39
Publications
2
Reads
0
Downloads
154
Citations
Publication Record
Distribution of Articles published per year 
(2009 - 2019)
Total number of journals
published in
 
24
 
Publications See all
Article 0 Reads 0 Citations A Regional Sustainable Intensive Land Use Evaluation Based on Ecological Constraints: A Case Study in Jinan City Qian Qian, Haiyan Liu, Xinqi Zheng Published: 08 March 2019
Sustainability, doi: 10.3390/su11051434
DOI See at publisher website ABS Show/hide abstract
Intensive development is a sign of human social progress, and moderate intensification is a continuously pursued goal. However, how to conduct a moderately intensive land use evaluation remains a challenge. To solve this problem, this research proposes the concept of sustainable intensification variable and develops a sustainable intensification variable model to determine the appropriate interval of regional intensive land use and evaluate the intensification of land use. The evaluation method of the sustainable intensification variable model is based on the principle and method of the intensification variable, and the regional sustainable development evaluation factors in the model are revised based on rational land use and ecological constraints. To verify the rationality of the model and systematically evaluate the intensification of land use in the city of Jinan, this method was tested using land use data and social economic data on Jinan from 2001, 2011, and 2015. The results show that the model has a high accuracy in judging the moderately intensive interval of regional land use and evaluating intensive land use, and has important reference value for regional sustainable development decision-making.
Article 0 Reads 0 Citations Do urban planning policies meet sustainable urbanization goals? A scenario-based study in Beijing, China Qiurong Xu, Xinqi Zheng, Minrui Zheng Published: 01 March 2019
Science of The Total Environment, doi: 10.1016/j.scitotenv.2019.03.128
DOI See at publisher website
Article 0 Reads 0 Citations Integrated Multiscale Method for Obtaining Accurate Forest Surface Area Statistics over Large Areas Shilun Kang, Xinqi Zheng, Yongqiang Lv Published: 28 January 2019
ISPRS International Journal of Geo-Information, doi: 10.3390/ijgi8020058
DOI See at publisher website ABS Show/hide abstract
Forest surface area is a fundamental input for forest-related research, such as carbon balance, biodiversity conservation, and ecosystem functioning and services. However, an accurate assessment of the area of forestland in China is not available because the forested area is usually calculated as a 2D projected area rather than a 3D surface area, and the impact of changes in the surface terrain on the area is ignored. In this study, we propose an integrated multiscale method that combines geomorphic regionalization and surface area algorithms to calculate the forest surface area in China. The results show that (1) China’s forested area is approximately 4.91% larger than the conventional estimates and corresponds to a carbon storage estimate that is approximately 383.72 million tons higher; (2) the integrated multiscale method exhibits good adaptability and high precision for large-scale surface area calculations; and (3) the calculation results of this method are superior to those of remote sensing data or single surface area algorithms, and the calculation efficiency is high.
Article 0 Reads 0 Citations Dynamic analysis method to open the “black box” of urban metabolism Qing Huang, Xinqi Zheng, Fei Liu, Yecui Hu, Yuqiang Zuo Published: 01 December 2018
Resources, Conservation and Recycling, doi: 10.1016/j.resconrec.2018.09.010
DOI See at publisher website
Article 0 Reads 2 Citations Generating a High-Precision True Digital Orthophoto Map Based on UAV Images Yu Liu, Xinqi Zheng, Gang Ai, Yi Zhang, Yuqiang Zuo Published: 21 August 2018
ISPRS International Journal of Geo-Information, doi: 10.3390/ijgi7090333
DOI See at publisher website ABS Show/hide abstract
Unmanned aerial vehicle (UAV) low-altitude remote sensing technology has recently been adopted in China. However, mapping accuracy and production processes of true digital orthophoto maps (TDOMs) generated by UAV images require further improvement. In this study, ground control points were distributed and images were collected using a multi-rotor UAV and professional camera, at a flight height of 160 m above the ground and a designed ground sample distance (GSD) of 0.016 m. A structure from motion (SfM), revised digital surface model (DSM) and multi-view image texture compensation workflow were outlined to generate a high-precision TDOM. We then used randomly distributed checkpoints on the TDOM to verify its precision. The horizontal accuracy of the generated TDOM was 0.0365 m, the vertical accuracy was 0.0323 m, and the GSD was 0.0166 m. Tilt and shadowed areas of the TDOM were eliminated so that buildings maintained vertical viewing angles. This workflow produced a TDOM accuracy within 0.05 m, and provided an effective method for identifying rural homesteads, as well as land planning and design.
Article 0 Reads 1 Citation Interoperable scenario simulation of land-use policy for Beijing–Tianjin–Hebei region, China Dongya Liu, Xinqi Zheng, HongBin Wang, Chunxiao Zhang, Jiaya... Published: 01 June 2018
Land Use Policy, doi: 10.1016/j.landusepol.2018.03.040
DOI See at publisher website
Top