收藏切换
Optimization of Local-optimal Threshold Method and Spatial and Temporal Characteristics of Urban Built-up Area Expansion:A Case Study of Baiyangdian Basin
收藏切换
PDF
Xing GAO1, 2, 3, 4, Zhong-yuan GUO1, Qian WANG5, Gui-jun LI3, Wei-ning SHEN1, *
Science Technology and Engineering | 2025, 25(1) : 44 - 53
Less
收藏切换
Science Technology and Engineering | 2025, 25(1): 44-53
Papers·Astronomy and Geosciences
Optimization of Local-optimal Threshold Method and Spatial and Temporal Characteristics of Urban Built-up Area Expansion:A Case Study of Baiyangdian Basin
Full
Xing GAO1, 2, 3, 4, Zhong-yuan GUO1, Qian WANG5, Gui-jun LI3, Wei-ning SHEN1, *
Affiliations
  • 1. School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China
  • 2. Hebei Collaborative Innovation Center for Urban-rural Integrated Development, Hebei University of Economics and Business,Shijiazhuang 050061, China
  • 3. Center for Urban Sustainability and Innovation Development (CUSID), Hebei University of Economics and Business, Shijiazhuang 050061, China
  • 4. Hebei Province Economics and Social Development Geographic Information Big Data Platform, Hebei University of Economics and Business, Shijiazhuang 050061, China
  • 5. Hebei Institute of Natural Resources Utilization Planning, Shijiazhuang 050051, China
Published: 2025-01-08 doi: 10.12404/j.issn.1671-1815.2308364
Outline
收藏切换

The scientific extraction of urban built-up area information and the exploration of the spatial-temporal characteristics of urban expansion have significant relevance for urban planning and management. The local-optimal thresholding method was refined for the quantitative extraction of urban built-up area information within the Baiyangdian Basin, and the extraction process utilized PANNDA nighttime light data and Landsat series data from four periods: 1990, 2000, 2010, and 2020. Subsequently, an analysis of the spatial-temporal characteristics of urban built-up area expansion in the basin over the past 30 years was conducted using the urban expansion index and landscape index. The results show the optimized local-optimal thresholding method is successfully used to extract the data of the built-up areas in the basin for all phases, and it is confirmed that the method exhibits enhanced applicability compared to its pre-optimization state. The urban built-up area in the Baiyangdian Basin experienced significant expansion throughout the study period, with a growth rate of 154.48%. The sizes of the built-up areas across the 35 cities in the basin exhibited high heterogeneity. Temporally, the expansion of urban built-up areas predominantly exhibited an accelerating trend, with a widening disparity in the pace of expansion among the cities within the basin. Spatially, the built-up area to the left of the Zhengding-Zhuozhou line was less developed than that to the right. Notable expansion trends were observed in municipal districts or county-level cities such as Lianchi District, Jingxiu District, and Gaobeidian City. Based on the results of the landscape index, the expansion of urban built-up areas in Baiyangdian Basin shows the spatial characteristics of “dispersion-fusion” during the study period, and the boundary of built-up areas showed the evolution characteristics of “regular-complex-regular”.

urban built-up area  /  local-optimal thresholding  /  nighttime light data  /  spatial-temporal features  /  Baiyangdian Basin
Xing GAO, Zhong-yuan GUO, Qian WANG, Gui-jun LI, Wei-ning SHEN. Optimization of Local-optimal Threshold Method and Spatial and Temporal Characteristics of Urban Built-up Area Expansion:A Case Study of Baiyangdian Basin[J]. Science Technology and Engineering, 2025 , 25 (1) : 44 -53 . DOI: 10.12404/j.issn.1671-1815.2308364
Year 2025 volume 25 Issue 1
PDF
364
139
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2308364
  • Receive Date:2023-10-26
  • Online Date:2025-07-29
  • Published:2025-01-08
Article Data
Affiliations
History
  • Received:2023-10-26
  • Revised:2024-07-04
Funding
Affiliations
    1. School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China
    2. Hebei Collaborative Innovation Center for Urban-rural Integrated Development, Hebei University of Economics and Business,Shijiazhuang 050061, China
    3. Center for Urban Sustainability and Innovation Development (CUSID), Hebei University of Economics and Business, Shijiazhuang 050061, China
    4. Hebei Province Economics and Social Development Geographic Information Big Data Platform, Hebei University of Economics and Business, Shijiazhuang 050061, China
    5. Hebei Institute of Natural Resources Utilization Planning, Shijiazhuang 050051, China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2308364
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT