TY - DATA
T1 -   Data underlying the publication: Spatial pattern recognition of local high temperature increases in mountain areas based on MODIS land surface temperature images
PY - 2023/06/02
AU - Yanxia Wang
UR - 
DO - 10.4121/ba236ea7-650c-4bde-859b-f6b08b5c22ac.v2
KW - high temperature increase
KW - mountain areas
KW - spatial pattern recognition
KW - threshold selection
KW - MODIS land surface temperature
N2 - <p><span style="background-color: rgb(255, 250, 234);">Finding out local high temperature increase (HTI) is&nbsp;significant for exploiting and conserving mountain climatic resources. </span>&nbsp;We proposes&nbsp;an image pattern recognition method to identify&nbsp;the&nbsp;HTI zones&nbsp;by GIS and RS technologies, and <span style="background-color: rgb(255, 250, 234);"> used the method to produce HTI fileds, HTI strips and other auxiliary data of Yunnan Province, China. The research paper described the method and these data will be submit to the our objective SCI magazine.&nbsp;</span> Therefore, this dataset contains all available data of our submission manuscript.</p>
ER -