English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Impact of land transformation processes in Eastern China on the long-term development of land surface temperatures

Authors

Chen,  Tingting
External Organizations;

/persons/resource/shanyuz

Zhou,  Shanyu
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Kang,  Ran
External Organizations;

Kaufmann,  Hermann
External Organizations;

Wang,  Yu
External Organizations;

Chen,  Hang
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)

5025747.pdf
(Publisher version), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Chen, T., Zhou, S., Kang, R., Kaufmann, H., Wang, Y., Chen, H. (2024): Impact of land transformation processes in Eastern China on the long-term development of land surface temperatures. - Geocarto International, 39, 1, 2322063.
https://doi.org/10.1080/10106049.2024.2322063


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025747
Abstract
The purpose of the presented study is to evaluate the comprehensive impact of different land cover types on the temperature development in the entire Shandong Province by a 20-year-long (MODIS) LST time series from 2003 to 2022. To find out the primary influencing factors, methods such as the Pearson correlation, stepwise analysis, and best-subset selection were applied. The results revealed that the average temperatures had been rising in summer during day- and night-time by 2.32 °C and 1.22 °C, respectively and in winter during day- and night-time by 3.25 °C and 1.33 °C, whereby a significant contribution can be attributed to the period 2014-2022. Substantial variations in LSTs emerge between built-up and vegetated areas and landlocked and coastal regions. Moreover, we could identify a contribution of 0.089 °C, caused merely by the extension of built-up areas of 1.65% in the entire Shandong Province. Modeling the combined effects of further relevant variables/factors, the percentage of cropland area (crop-per) and the number of landscape patches (NPl) indicate considerable influence on the daytime temperature in the temporal domain.