Spatiotemporal Evolution Analysis of Construction Land Expansion in Wuhan East Lake High-tech Development Zone Based on Remote Sensing
DOI:
https://doi.org/10.54097/94r09415Keywords:
Land use change, NDVI, Land surface temperature, Remote sensing monitoring, East Lake High-tech Development Zone.Abstract
Focusing on Wuhan's East Lake High-tech Development Zone, this paper draws upon Landsat imagery and land use records from three years—2005, 2015, and 2025. Land use dynamics were mapped in ArcMap, and the environmental ripple effects of construction land growth were evaluated using the Normalized Difference Vegetation Index (NDVI) alongside Land Surface Temperature (LST). The data show that construction land within the zone expanded from 43.61 km² to 121.72 km² across the two decades, an increase of roughly 179%, with growth fanning out mainly toward the east and south. Cropland steadily gave way to urban uses. A tight spatial coupling emerged among the three datasets. Gains in construction land coincided with thinning vegetation and climbing surface temperatures. Meanwhile, East Lake and its surrounding green belts remained cool and densely vegetated, serving as a critical buffer against the urban heat island and helping sustain regional ecological stability. The results can inform land allocation strategies and territorial spatial planning for the zone.
Downloads
References
[1] Tong W, Lang F K. Remote sensing monitoring and analysis of land use/cover change in Wuhan City over the past 20 years. Journal of Geomatics, 2022, 46(5): 83-87.
[2] Huang B R, Zhang H Z, Song D J, et al. Driving force analysis of construction land expansion in China's mainland from 2000 to 2010. Acta Ecologica Sinica, 2017, 37(12): 4149-4158.
[3] Chang B R, Li R D. Remote sensing monitoring and spatial differentiation analysis of construction land expansion in Wuhan City. Remote Sensing for Land & Resources, 2022, 29(3): 118-123.
[4] Su Z H, He B Y, Ding C, et al. Analysis of the impact of land use change on the urban heat island in Wuhan based on remote sensing. Journal of Central China Normal University (Natural Science Edition), 2015, 49(1): 139-146.
[5] USGS. Landsat 5 TM, Wuhan area. 2005. https://earthexplorer.usgs.gov
[6] USGS. Landsat 8 OLI/TIRS, Wuhan area. 2015. https://earthexplorer.usgs.gov
[7] USGS. Landsat 8 OLI/TIRS, Wuhan area. 2025. https://earthexplorer.usgs.gov
[8] Resource and Environment Science and Data Center, Chinese Academy of Sciences. National land use raster dataset (30 m). 2020. https://www.resdc.cn
[9] Stewart I D, Oke T R. Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society, 2012, 93(12): 1879-1900. DOI: https://doi.org/10.1175/BAMS-D-11-00019.1
[10] Yang J X, Gong J, Gao J, et al. Stability and systematic characteristics of land use change in national central cities: A case study of Wuhan City. Resources Science, 2019, 41(4): 701-716. DOI: https://doi.org/10.18402/resci.2019.04.08
[11] Huang D, Li R D, Qiu J, et al. Analysis of spatiotemporal land use change and policy driving factors in the Wuhan metropolitan area. Journal of Geo-information Science, 2017, 19(1): 80-90.
[12] Zhang R, Wen L J, Wang N K, et al. Impact of technological innovation on urban land green use efficiency: A case study of 48 districts and counties in the Wuhan metropolitan area. Resources Science, 2023, 45(2): 264-280. DOI: https://doi.org/10.18402/resci.2023.02.03
[13] Voogt J A, Oke T R. Thermal remote sensing of urban climates. Remote Sensing of Environment, 2003, 86(3): 370-384. DOI: https://doi.org/10.1016/S0034-4257(03)00079-8
[14] Huang M H, Chen J J. Spatial and temporal change analysis of urban heat island effect in Wuhan City. ISPRS Archives, 2022, XLIII-B3: 447-452.
[15] Hu Y C, An R, Yang J M, et al. Measurement and driving mechanism of land use conflict based on landscape patterns: A case study of the Wuhan metropolitan area. Research of Soil and Water Conservation, 2024, 31(6): 354-364.
[16] Zhang X S, Wang Y D. Analysis of spatiotemporal heterogeneity of urban expansion and ecological landscape in rapidly urbanizing central China: A case study of Wuhan City. Resources and Environment in the Yangtze Basin, 2023, 32(8): 1583-1593.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.








