Open Access
| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 01036 | |
| Number of page(s) | 5 | |
| Section | Invited Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235801036 | |
| Published online | 27 October 2022 | |
- Zhou Jiangwen. Natural ecological evaluation and driving force analysis of Nanchang City [D]. Donghua University of Technology, 2020. DOI:DOI: 10.27145/d.cnki.ghddc.2020.000084. [Google Scholar]
- Jay Gao, Yansui Liu, Yifu Chen, Land cover changes during agrarian restructuring in Northeast China, Applied Geography 26 (2006) 312–322 [CrossRef] [Google Scholar]
- Jieying Xiao, Yanjun Shen, Jingfeng Ge, Ryutaro Tateishi, Changyuan Tang, Yanqing Liang, Zhiying Huang, Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing, Landscape and Urban Planning 75 (2006) 69–80. [CrossRef] [Google Scholar]
- Ma Ting. Spatial and temporal characteristics of urbanization in China from the perspective of nightlight remote sensing [J]. Journal of Geoinformation Science, 2019, 21(01):59–67. [Google Scholar]
- Wang X.X., Liu J.Y., Zhuang D.D., Wang L.M. Spatial and temporal characteristics of spatial morphological changes in Chinese megacities[J]. Journal of Geography, 2005(03):392–400. [Google Scholar]
- Zhou Chunshan, Ye Changdong. Spatial growth characteristics of Chinese megacities and its causes[J]. Journal of Geography, 2013, 68(06):728–738. [Google Scholar]
- Li Yuan, Lin Feng, Yan Zexing. Analysis of urbanization evolution based on Landsat remote sensing image--Xiamen city as an example[J]. Urban Architecture, 2019, 16(25):138–142. DOI:DOI: 10.19892/j.cnki.csjz.2019.25.030. [Google Scholar]
- Jinxia Lv, Weiguo Jiang, Wenjie Wang, Zhifeng Wu, Yinghui Liu, Xiaoya Wang and Zhuo Li Wetland Loss Identification and Evaluation Based on Landscape and Remote Sensing Indices in Xiong'an New Area, Remote Sensing. 2019, 11, 2834; doi:DOI: 10.3390/rs11232834 [CrossRef] [Google Scholar]
- Lopez, E., Bocco, G., Mendoza, M., & Duhau, E., Predicting land cover and land use change in the urban fringe a case in Morelia City, Mexico. Landscape and Urban Planning, (2001) 55(4), 271–285. [CrossRef] [Google Scholar]
- Mathan M. & Krishnaveni, M., Monitoring spatiotemporal dynamics of urban and peri-urban land transitions using ensemble of remote sensing spectral indices-a case study of Chennai Metropolitan Area, India, Environ Monit Assess (2020) 192: 15 [CrossRef] [Google Scholar]
- Qian Ya. Evolutionary trends and prediction of vegetation cover in Jiangsu Province, 2006-2015[D]. Nanjing University of Information Engineering, 2021. DOI:DOI: 10.27248/d.cnki.gnjqc.2021.000288. [Google Scholar]
- Zhu Lei, Xia Xinxin, Yang Aimin, Jin Han. Parametric sensitivity analysis of CA-Markov model for arable land expansion in the oasis zone of Manas River basin [J/OL]. Arid Zone Research: 1–12[2020-0822]. [Google Scholar]
- Wang Lixia, Zhang Jiawei, Meng Nina, Sui Lichun, Zhang Shuangcheng, Liu Zuo. Simulation and prediction of spatial and temporal variability of NDVI in the Weihe River basin based on CA-Markov[J]. Soil and water conservation research, 2020, 27(04):206–212. [Google Scholar]
- Wang, Ruci, Hao Hou and Yuji Murayama 2018. Scenario-Based Simulation of Tianjin City Using a Cellular Automata-Markov Model. Sustainability 10: 2633. [CrossRef] [Google Scholar]
- Wang Yanjie. Study on the evolutionary characteristics of wetlands and their driving forces in Nanchang City [D]. Jiangxi Normal University, 2020. DOI:DOI: 10.27178/d.cnki.gjxsu.2020.000709. [Google Scholar]
- Ye Bin. Research on the spatial and temporal evolution characteristics of urban heat island effect in Nanchang based on Landsat satellite images[D]. Guilin University of Technology, 2019. doi:DOI: 10.27050/d.cnki.gglgc.2019.000002. [Google Scholar]
- Li X. Research on remote sensing monitoring and simulation of urban built-up areas in Nanchang [D]. Donghua University of Technology, 2017. [Google Scholar]
- Schucknecht, Anne, Matschullat, Jörg, Erasmi, Stefan. Spatial and temporal variability of vegetation status in Paraíba, Northeastern Brazil (2012). DOI:DOI: 10.1109/IGARSS.2012.6351643 [Google Scholar]
- Zhang X. Simulation and prediction of wetland landscape pattern dynamics in the south coast of Hangzhou Bay based on CA-Markov model[D]. Zhejiang University, 2013 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.