Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 2, 199(2025)
Spatial and temporal variation and driving forces of land surface temperature in Shijiazhuang
[1] Duan S B, Ru C, Li Z L et al. Reviews of methods for land surface temperature retrieval from Landsat thermal infrared data[J]. National Remote Sensing Bulletin, 25, 1591-1617(2021).
[2] Chen H J, Liu L, Zhang Z Y et al. Spatio-temporal correlation between human activity intensity and land surface temperature on the north slope of Tianshan Mountains[J]. Journal of Geographical Sciences, 32, 1935-1955(2022).
[3] Fu J B. Coordinating management of the eco-environmental systems in the yellow river basin[J]. Journal of Irrigation and Drainage, 39, 130-137(2020).
[4] Liu Y X, Yang Y B, Hu J et al. Temporal and spatial characteristics of diurnal surface urban heat island intensity in China based on long time series MODIS data[J]. Journal of Geo-information Science, 24, 981-995(2022).
[5] Zhou X D, Guo H D. Spatial pattern evolution of impervious surfaces and its influence on surface temperature in the process of urban expansion: A case study of Urumqi[J]. Acta Ecologica Sinica, 38, 7336-7347(2018).
[6] Chen M H. Land surface temperature inversion and change analysis of Dongguan using Landsat images[J]. Bulletin of Surveying and Mapping, 528, 60-68(2021).
[7] Guo J Q, Pan J. Evolution and prediction of thermal environment pattern in Nanjing based on CA-Markov model[J]. Journal of Atmospheric and Environmental Optics, 15, 143-153(2020).
[8] Kuang W H. Advance and future prospects of urban land use/cover change and ecological regulation of thermal environment[J]. Scientia Geographica Sinica, 38, 11643-1652(2018).
[9] Yang L P, Bai Y X, Zhu J S et al. Drought monitoring in Ejina oasis based on optimal vegetation index and TVDI[J]. Journal of Lanzhou University (Natural Sciences), 57, 727-734(2021).
[10] Zhang C H, Guo Y B. Land surface temperature and intensity analysis based on Landsat[J]. Science of Surveying and Mapping, 45, 61-66(2020).
[11] Liu Y Q, Yang D X, Yang X G. Analysis of thermal environment change in central urban area of Harbin based on mono-window algorithm[J]. Journal of Henan Agricultural University, 55, 537-543(2021).
[12] Cheng Y L, Wu H, Li Z L et al. Retrieval and validation of the land surface temperature from FY-3D MERSI-Ⅱ[J]. National Remote Sensing Bulletin, 25, 1792-1807(2021).
[13] Ji C, Jiang T C, Luo W Q. Study on the distribution of thermal drainage in Tianwan nuclear power station based on Landsat-8 data[J]. Hydrographic Surveying and Charting, 40, 57-60(2020).
[14] Sun Z. Impact of urban morphology factors on thermal environment in high density urban areas: A case of Beijing within 5th ring road[J]. Ecology and Environmental Sciences, 29, 2020-2027(2020).
[15] Yao Y H, Zhang B P. MODIS-based estimation of air temperature and heating-up effect of the Tibetan Plateau[J]. Acta Geographica Sinica, 68, 95-107(2013).
[16] Pan H, Jiang Z L, Zhang B Y. Geographically weighted regression-based research on the spatial relationship of the influence of urban land use on land surface temperature[J]. Journal of Forest and Environment, 39, 165-173(2019).
[17] Ding Y Y, Zhao J Y, Yang J et al. Analysis on the characteristics of temporal and spatial changes of surface temperature and land cover in Yongqu river basin at the source of the Yellow River[J]. Science Technology and Engineering, 22, 2592-2600(2022).
[18] Tian P, Li J L, Wang L J et al. Dynamics of three-dimensional ecological footprint of Zhejiang coastal zone and its influencing factors based on GTWR model[J]. Chinese Journal of Applied Ecology, 31, 3173-3186(2020).
[19] Guo A J, Ma X M, Zhong F L et al. The spatial distribution and impact factors of the development zones in the Yellow River Basin[J]. Journal of Northwest University (Natural Science Edition), 51, 839-848(2021).
[20] Miao Z H, Yu Y N, Di J et al. Remote sensing technique-based analysis on inversion of Laolongkou Reservoir surface temperature and influencing factors[J]. Water Resources and Hydropower Engineering, 53, 144-155(2022).
[21] Song X N, Chi G Y, Shi Y et al. Study on influencing factors of spatial heterogeneity of land surface temperature in coastal areas[J]. Journal of Atmospheric and Environmental Optics, 17, 317-327(2022).
[22] Jin S H, Zhang Y Q, Yang J. The impact of urban local climate zone on land surface temperature: A case study of Dalian[J]. Bulletin of Surveying and Mapping, 505, 87-90(2019).
[23] Zhu X L, Duan S B, Li Z L et al. Reconstruction of land surface temperature under cloudy conditions from Landsat 8 data using annual temperature cycle model[J]. Remote Sensing of Environment, 281, 113261(2022).
[24] Guha S, Govil H. Annual assessment on the relationship between land surface temperature and six remote sensing indices using landsat data from 1988 to 2019[J]. Geocarto International, 37, 4292-4311(2022).
[25] Hu J Y, Zhang J X, Li Y Q. Exploring the spatial and temporal driving mechanisms of landscape patterns on habitat quality in a city undergoing rapid urbanization based on GTWR and MGWR: The case of Nanjing, China[J]. Ecological Indicators, 143, 109333(2022).
Get Citation
Copy Citation Text
Shenshen XU, Chonggui LI. Spatial and temporal variation and driving forces of land surface temperature in Shijiazhuang[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(2): 199
Category:
Received: Feb. 3, 2023
Accepted: --
Published Online: May. 30, 2025
The Author Email: