Geographical information technology enabling the construction and analysis of long-term surface temperature dataset in Fujian province

doi:10.13474/j.cnki.11-2246.2025.0730

Abstract

Abstract: Land surface temperature (LST) is a key parameter of land surface physical processes on global and regional scales,linking the heat fluxes and interactions between the ground and atmosphere.Based on GIS/RS,combined with the MODIS 8-day LST products (MOD11A2) from the split-window algorithms,we construct and obtain the monthly and annual LST dataset of Fujian province from 2000 to 2016.Then,Using geospatial information technologies,we analyze the monthly and yearly time series LST data and further investigate the LST distribution and its evolution features.The average LST of Fujian province reaches the highest in July,while the lowest in January.The monthly and annual LST time series present a significantly periodic features (annual and interannual) from 2000 to 2016.The spatial distribution shows that the LST in North and West is lower than South and East in Fujian province.With the rapid development and urbanization of the coastal area in Fujian province,the LST in coastal urban region is significantly higher than that in mountainous rural region.The LST distributions might are affected by the climate,topography and land cover types.The spatio-temporal distribution characteristics of LST using geospatial information technologies could be regarded as crucial evidences in agricultural layout and provides important reference for the formulation of regional ecological environment protection and sustainable development policies in Fujian province.

Key words: land surface temperature, MODIS, spatio-temporal variation, geographic information technology, Fujian province

CLC Number:

P208

LI Wene, LAI Xiaolong, SUN Hua, HUANG Lianying. Geographical information technology enabling the construction and analysis of long-term surface temperature dataset in Fujian province[J]. Bulletin of Surveying and Mapping, 2025, 0(7): 180-184.

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